Module 8: Conservation
Module 8: ConservationModule 8 Overview
Some people fear that “energy conservation” means giving up our worldly wealth and going back to living on dirt floors and eating by candlelight. Nothing could be further from the truth! There are lots of ways that we could reduce our energy consumption (and thus reduce our impacts on the planet) without sacrificing our standard of living. And, at least some conservation saves us money—the cost of installing insulation for houses, better windows, and other changes is less than the savings they provide. Conservation also has roots deep in history—Ben Franklin’s stove heated a room while burning fewer logs than were needed in an open fireplace, and he urged people to buy his stove to conserve the trees of Pennsylvania.
In this module, we’ll see just how vast the potential for energy conservation can be, and that countries can be highly energy-efficient without making people poorer. We’ll also look at a few real-life examples of conservation. Finally, we’ll think about a sticky problem that has puzzled social scientists for decades – if energy conservation is such a good idea, and can save people money without making them worse off –why are some people so hesitant to embrace it?
Goals and Objectives
Goals and ObjectivesGoals:
- Recognize the great diversity of energy options currently available to us
- Use numerical tools and publicly available scientific data to demonstrate important concepts about the Earth, its climate, and resources
Learning Objectives:
By the end of this module, you will:
- Recognize that all energy technologies are inefficient
- Compare wealth and energy intensity in developed countries
- Identify options for improving energy efficiency in developed countries
- Analyze why we don't always conserve as much as we should, despite the double benefits for the climate and our wallets
- Use a model to calculate the effects of various strategies such as use of renewable energy sources, conservation, and population control on reducing emissions
Roadmap
Roadmap| What to do | Tasks | Due |
|---|---|---|
| To Read | Materials on course website (Module 8) | A.S.A.P. |
| To Do |
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Questions?
If you have any questions, please post them to Help Discussion. We will check that discussion forum daily to respond. While you are there, feel free to post your own responses if you, too, are able to help out a classmate.
Global Conservation Potential
Global Conservation PotentialTo understand why energy conservation is even an option (let alone a necessary one), we have to go back to a simple fact about energy conversion: You want some, you waste some. Burning coal in a power plant or gasoline in a car; or heating water using solar energy – all of these things are “energy conversion processes.” We are taking energy that is in one form (like lumps of coal) and going through chemical, mechanical or other conversions to turn that energy into things that we want (like lighting and transportation). While these conversion processes have done great things for people and society, they aren’t perfect. The energy that goes into a conversion process is always greater than the energy that comes out of a conversion process. This is basically a consequence of the second law of thermodynamics, which says that it’s impossible to harness all energy in one form (like a lump of coal) to do useful work in another form (like light a room or make toast).
Technically, the second law of thermodynamics applies only to conversion processes involving heat – which basically describes the vast majority of the world’s energy technologies. These technologies burn fossil fuels in a generic process called a “heat engine.” Internal combustion engines in cars, industrial boilers, and power plants are all examples of the “heat engine” principle. In the 1800s a physicist named Sadi Carnot figured out that there was a theoretical limit to how efficient a heat engine could get, depending on the type of work it was asked to do and the conditions under which the heat engine operated.
What Carnot figured out, in today’s terms, is that a heat engine dependent on steam (like a power plant) could not get much more efficient than about 50%. A heat engine that is driven directly by combustion gases, like a car or truck engine, cannot get much more than 25% efficient. This means that in the most perfect of all circumstances, it’s impossible for a simple power plant to waste less than about 50% of all the fuel that’s put into it. Cars are even worse – they are set to waste about 75% of all the fuel that we pump into them.
Of course, there are some clever ways that we can push the efficiency of energy conversion processes. Combined cycle power plants, for example, are able to capture some of the waste heat from combustion and use that heat to drive a second turbine for power generation. But even these types of plants generally don’t achieve efficiencies of more than about 65%. Wind and solar are “inefficient” as well – a wind turbine might capture about 50% of the potential energy in the wind that hits the turbine, and solar photovoltaic cells are generally able to capture only about 20% of the solar energy that hits their surfaces. (On the other hand, energy from the wind and the sun are free once the equipment is built and installed, so maybe the “efficiency” is not as important in the case of wind and solar.)
Watch the following video about Sankey Diagrams (6:23)
Go with the flow: Sankey diagrams illustrate energy economy
PRESENTER: In this EcoWest presentation, we break down energy trends in the US and western states by using a graphic known as a Sankey diagram. Energy flows through everything, so it's only fitting to use this type of flowchart to depict our complex energy economy. Sankey diagrams are named after an Irish military officer who used the graphic in 1898 in a publication on steam engines. Since then, Sankey diagrams have won a dedicated following among data visualization nerds. The graphic summarizes flows through a system by varying the width of lines according to the magnitude of energy, water, or some other commodity.
One of the earliest and most famous examples of the form illustrates Napoleon's disastrous Russian campaign in the early 19th century. Created by Charles Joseph Minard, a French civil engineer, the graphic depicts the army's movements across Europe and shows how their ranks were reduced from 422,000 troops in June 1812, when they invaded Russia, to just 10,000 when the remnants of the force staggered back into Poland after retreating through a brutal winter. Data visualization guru Edward Tufte says it's probably the best statistical graphic ever drawn.
Sankey diagrams created by the Lawrence Livermore National Laboratory depict both the source and use of energy. The boxes on the left show the nation's power portfolio, and the lines moving to the right show where that energy ends up, with the width varying by the magnitude of the flow. This graphic, using 2008 data, shows that petroleum in the transportation sector accounts for the biggest overall energy flow. In 2008, more than half of electricity generation came from coal, followed by nuclear and natural gas.
Here's the next year's data. Total energy use actually fell slightly as the US economy fell into the recession, but the overall pattern of the flows remained the same. In all of the energy diagrams, you'll notice that a significant share of energy is rejected. A good example of rejected energy is waste heat from power plants. The greater the percentage of rejected energy, the less efficient the system is.
Here's 2010. It's worth noting that in this sequence of slides, the size of the rectangles does not vary according to the amount; it's only the thickness of the lines that change from year to year. Here's 2011, the most recent version. Between 2010 and 2011, the thickness of the coal line decreased as the nation shifted toward natural gas. Besides being used to fuel power plants, natural gas is used directly in homes, businesses, and factories.
Here's another Sankey diagram for US energy flows that was created by the Department of Energy. This version includes some interesting facts and statistics in the margin. Now let's shift to energy flows in the 11 western states. First off, it's worth noting that the region's energy economy is heavily influenced by California, which accounts for 41% of the total energy flows.
Here's the picture for California. As you might expect, petroleum used in the transportation sector dominates the system in a state that is known for its car culture and also home to major transportation hubs. Looking at the electricity generation box, you can see that natural gas now provides the biggest share of the state's power portfolio, but nuclear, hydro, and geothermal are also major contributors. There's barely any coal use for power generation within California, but you'll notice that the state also imports a fair amount of energy from other states, including coal-fired power plants in the southwest.
It's a totally different story in Wyoming, where virtually all of the electricity generated in the state comes from coal. Some of that power is also exported to other states. Compared to California, far less energy flows into the transportation sector in this sparsely populated state. As with the national slides, it's important to note that the rectangles don't change size from state to state. That means the width of the flow lines are not comparable from slide to slide; they merely show within a single state how the energy flows are divided.
It's no surprise that Wyoming, home to the Powder River Basin coal deposit, is so heavily reliant on coal, but so are some other inland states such as New Mexico and Utah, both of which export some of that electricity. Colorado is heavily dependent on coal, but natural gas is also critical, and about 6% of electricity generation comes from wind, a higher fraction than any other western state. Montana also uses lots of coal, but hydropower makes up nearly one-third of the power portfolio.
In Arizona, the Palo Verde nuclear power plant, the nation's largest, accounts for 27% of the state's electric generation, although some of that power is exported to places like California. In Nevada, natural gas is the top source for power plants, while geothermal accounts for 9%. Coal may be king for electricity generation in many states in the Intermountain West, but it's hydropower that dominates the power portfolios in the Pacific Northwest.
Here's Idaho, which imports a good deal of its electricity from surrounding states. In Oregon, hydropower dams account for 64% of electricity generation, while in Washington state, it's 71%. You can download more slides and other resources at ecowest.org.
The tales of inefficiencies in modern energy systems are almost too numerous to count, and we haven’t even talked about the ways in which people choose to use energy. The graphic below provides a nice summary of how much energy is wasted in the United States. The figure is called a “Sankey diagram” and it traces the flows of energy (from left to right) through all sectors of a country’s economy. (The example in the graphic below was produced by a US government laboratory, so it naturally focuses on the United States.) The left-hand side of the Sankey diagram shows all of the energy inputs to a nation’s economy and how much of each is used. The box for “petroleum” is larger than the box for “solar” because the US economy uses a lot more petroleum than it does solar energy. From each individual resource, you can trace the various paths, showing how much of that energy resource is used in different sectors of the economy. For example, coal is used for power generation and is used directly in industrial and commercial boilers as well. As indicated by the width of the path, the vast majority of coal in the US economy is used for power generation. The quantities of coal used for industrial and commercial boilers are much smaller. All the way over at the right, you can see two boxes – one is labeled “Energy services” and the other is labeled “Rejected Energy.” The Energy Services box tallies up all of the coal, oil, gas, solar and other resources that we actually harness for doing useful things. The Rejected Energy box measures how much of those resources is lost due to inefficiencies in our energy conversion systems. As you can see, the US is now 32% efficient, and if we switched to an all-electric economic system with the highest efficiency generators, we could approach something closer to 50% efficiency.

The image is a Sankey diagram titled "Estimated U.S. Energy Consumption in 2018: 101.2 Quads," created by Lawrence Livermore National Laboratory. It visually represents the flow of energy from various sources through different sectors of consumption, showing both energy usage and losses. Here's a detailed breakdown:
Energy Sources (on the left side, each source is represented by a colored block with the energy quantity in quads):
- Solar: Yellow, 0.949 quads
- Nuclear: Red, 8.44 quads
- Hydro: Blue, 2.69 quads
- Wind: Purple, 2.53 quads
- Geothermal: Brown, 0.217 quads
- Natural Gas: Light blue, 31 quads
- Coal: Grey, 13.3 quads
- Biomass: Green, 5.13 quads
- Petroleum: Dark green, 36.9 quads
Energy Flow:
- Electricity Generation:
- Solar, nuclear, hydro, wind, geothermal, natural gas, coal, and biomass contribute to electricity generation, totaling 38.2 quads.
- There's a small addition from net electricity imports of 0.05 quads.
- Losses in electricity generation are significant, with 25.3 quads being rejected energy
- Rejected Energy:
- A large grey block represents 68.5 quads of rejected energy, which includes losses from various stages of energy conversion and use
- Energy Services (on the right side, each sector is represented by a colored block with the energy quantity in quads):
- Residential: Pink, 11.9 quads
- Commercial: Light pink, 9.45 quads
- Industrial: Light red, 26.3 quads
- Transportation: Light green, 28.3 quad
Flow of Energy to Sectors:
- From Electricity Generation:
- 4.16 quads go to Residential, 3.31 to Commercial, 13.4 to Industrial, and 3.25 to Transportation
- Direct Use of Energy Sources:
- Residential: Receives energy directly from Natural Gas (4.7 quads), and small amounts from other sources.
- Commercial: Receives energy directly from Natural Gas (3.25 quads), and small amounts from other sources.
- Industrial: Receives significant energy from Natural Gas (10.4 quads), Coal (1.2 quads), Biomass (2.35 quads), and Petroleum (8.86 quads).
- Transportation: Primarily uses Petroleum (22.4 quads).
Additional Notes:
- The diagram uses colored lines to show the flow of energy from sources to sectors, with the width of the lines proportional to the energy quantity.
- There are various smaller flows and losses throughout the diagram, with specific values indicated where energy is lost or converted.
- The total energy consumption is 101.2 quads, with 32.7 quads being used for energy services and the rest being rejected energy.
The diagram provides a comprehensive overview of how energy is sourced, converted, distributed, and consumed in the U.S. for the year 2018, highlighting inefficiencies and the distribution across different sectors.
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Inefficient Use of Energy
Inefficient Use of EnergySo a country like the United States does not convert energy into useful work all that efficiently — the Sankey diagram from the last section shows that we are about 30% efficient (energy services divided by total energy — 32.7/101.2). But it is also true that we do not make the best use of the energy that goes into services — we could get those same services accomplished with less energy. As an example, transporting yourself from New York to Philadelphia is a service, and if you drove by yourself in a gas guzzler, then a lot of energy is going into that service. But, if you take the bus, then the energy used for that same service is the amount of fuel used divided by the number of passengers — so this would be a more efficient means of achieving that service. So, energy efficiency is all about getting services done with the least amount of energy. Another side to this is cutting back on the services themselves — traveling less, keeping our homes a bit cooler in the winter and a bit warmer in the summer.
First, let's consider how much energy people use in different countries. As you might expect, it turns out that richer countries (with a higher per capita GDP, or gross domestic product per person) use more energy per capita than poorer countries, as can be seen in the figure below.

The image is a scatter plot graph titled "Relationship Between GDP and Energy Consumption." It plots the relationship between per capita GDP (in $) on the x-axis and per capita energy consumption (in GJ/person) on the y-axis for various countries over time.
- Axes:
- The x-axis is labeled "Per Capita GDP $" and ranges from 100 to 100,000 on a logarithmic scale.
- The y-axis is labeled "Per Capita Energy Consumption (GJ/person)" and ranges from 1 to 1,000, also on a logarithmic scale
- Data Points:
- Each data point represents a country, with blue circles indicating data from various years.
- Specific countries are highlighted with labels:
- Afghanistan is located at the lower left, indicating low GDP and low energy consumption.
- Mexico is positioned towards the middle of the graph.
- USA is located towards the upper right, indicating higher GDP and energy consumption.
- Qatar and Iceland are at the far right, with very high GDP and energy consumption, with Iceland having the highest energy consumption.
- Global Averages:
- Two red squares mark the global averages:
- One labeled "Global Average 1950" is located lower on the graph, indicating lower GDP and energy consumption.
- Another labeled "Global Average 2013" is positioned higher, showing an increase in both GDP and energy consumption over time
- Two red squares mark the global averages:
- Trends:
- There is a general upward trend, suggesting that as per capita GDP increases, so does per capita energy consumption.
- The spread of data points widens as GDP increases, indicating variability in energy consumption among countries with similar GDP levels
- Annotations:
- Arrows point to the labeled countries and global averages, providing a visual guide to their positions on the graph
The graph uses a logarithmic scale for both axes to accommodate the wide range of values, and the data points are densely packed, showing the distribution and relationship between GDP and energy consumption across different countries.
One important point from this graph is that between 1950 and 2013, the per capita GDP has increased by almost a factor of 10, and the per capita energy consumption has also increased, but only by a factor of 4.
Another important question is: How efficient are these economies in their use of energy? We can look at this using data on the "energy intensity" of different economies. The energy intensity of an economy is given by the total primary energy consumption divided by the total GDP for the country (you'd get the same thing by dividing the per capita energy consumption by the per capita GDP). A useful way to think of this energy intensity is that it represents how much energy a country uses to produce a dollar of economic output — so lower values are better. A low value means a country uses less energy to make a buck.

The image is a line graph titled "Energy intensity of economies," created by Our World in Data. It shows the energy intensity level of primary energy, which is the ratio between energy supply and gross domestic product (GDP) measured at purchasing power parity, over time from 1990 to 2015. The y-axis represents energy intensity in kilowatt-hours per dollar (kWh/\$), ranging from 0 to 5 kWh/\$. The x-axis represents the years from 1990 to 2015.
The graph includes data for four regions/countries, each represented by a different colored line:
- China is represented by a purple line, starting at around 5 kWh/\$ in 1990 and showing a significant decline to approximately 2 kWh/\$ by 2015.
- United States is represented by an orange line, starting at about 1.5 kWh/\$ in 1990 and gradually decreasing to around 1 kWh/\$ by 2015.
- World is represented by a green line, starting at around 1.2 kWh/\$ in 1990 and showing a slight decrease to about 1 kWh/$ by 2015.
- Germany is represented by a red line, starting at about 1 kWh/\$ in 1990 and remaining relatively stable, slightly decreasing to just below 1 kWh/\$ by 2015.
- Switzerland is represented by a blue line, starting at around 0.5 kWh/\$ in 1990 and remaining very stable, with a slight decrease to just above 0.5 kWh/\$ by 2015.
Key observations:
- China has the highest energy intensity throughout the period, but it shows a marked decrease over time.
- The United States, the World average, Germany, and Switzerland all have lower energy intensities compared to China, with Switzerland having the lowest.
- All regions/countries show a general trend of decreasing energy intensity over the 25-year period, indicating improvements in energy efficiency or changes in economic structure.
Since most energy use globally comes from burning fossil fuels, it is no big surprise that energy use on a national basis is closely related to carbon emissions on a national basis. (There are some exceptions, like the Nordic countries, which rely primarily on hydroelectricity.) The following short video from the Gapminder Foundation (4:06) has a nice animation showing these trends over time for a number of different countries.
Video: Carbon Dioxide (4:06)
Carbon Dioxide
HANS ROSLING: All humans emit carbon dioxide and contribute to the climate crisis. But some humans emit much more carbon dioxide than others. Look at the statistics, where each bubble here represents a country. This axis shows the emission of carbon dioxide per person per year in tons, from less than one tone per person a year, to 10 and to 20. And the size of the bubbles, the size of this bubble up here, which is the United States, it shows the emission of carbon dioxide from the whole country, the total amount of carbon dioxide.
And this bubble down here is China. And the size of it shows how much China is emitting. The axis down here shows the income per person, \$1,000, \$10,000, and more. And the color of the bubbles shows the continent. The green ones are Americas, the brown one is the European bubbles, and the red one, are the Asian bubbles. And what you clearly can see is in 1975 because this data is from 1975, countries with low income have low emissions. And when their income increases, they get very high emission.
And what has happened over time? We fast forward the world here. And you can see that as countries grow richer, they emit more. And here comes China with its economic growth, it grows very fast. In the '90s, it moves this, and they start to emit more and more. Whereas the United States continues to hover around about 20 tons per person. And in 2003, it's actually almost the same amount of emission as it was in 1975, 20 tons per person in the United States and in China down here, about three tons per person.
The bubbles are now about the same size. And it's because China has four times as big a population as the United States. So even if the United States emits much more per person, China will get quite a big bubble because they are so many. But most of the countries actually are somewhere in between here in the world. They are somewhere in between China and the United States. China does not emit very much carbon dioxide per person.
Where does the carbon dioxide come from? Well, large parts of it come from coal. And why do they burn coal? To make electricity. I'll show you the statistics on that. This shows the production of electricity, the percentage that comes from burning coal. 10%, 20%, 40%, 60%. In China in 1975, they made 60% of their electricity out of coal, and the United States was a little less, about 45%. And over time, the change has been as you can see here, 75%, 80%; and China is producing more and more energy, and a higher and higher proportion of that electricity, which they produce, is from coal. And it's increasing to reach by the end of the century and the last year. Now China is producing about 80%, 70% to 80% of its electricity is made from coal. In the United States, it's about 50%.
So if we should stop the emission of carbon dioxide from burning coal, we must understand that this is the cheapest way of making electricity. And the people in China want electricity in their homes. There are still hundreds of millions of Chinese that don't have electricity in their homes. So what China needs is a technology that can produce electricity from renewable sources in a way that is cheaper than making it from coal.
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Check out the Gapminder World Website below. If you click “Play” in the lower left-hand corner, you can watch a time progression of GDP per-capita vs. total energy consumption per-capita, for a number of different countries from the 1960s and 1970s to the present. The United States and Denmark are highlighted as an interesting comparison. The animation is customizable, so if you want to highlight other countries you can go to the checklist on the right-hand side of the page.
Options and Opportunities for Energy Conservation
Options and Opportunities for Energy ConservationWhether you think about the supply side of energy systems (the technologies and conservation processes that we utilize to convert fuels of various sorts into useful activities) or the demand side (relative energy consumption), wasting energy hurts the environment and costs society a tremendous amount of money. Several good reports on this topic have been released in recent years. While all are specific to the US (which isn’t surprising if you look back at the figure or at the Gapminder animation on the previous page), all of these reports identify avenues for increased energy conservation that would be relevant to just about any country with an industrialized economy.
Required Reading:
Have a look at the executive summaries for the three reports listed below. You must have Adobe Reader installed on your computer to view the ones listed as PDF files. If you do not have Adobe Reader installed on your computer, go to the Adobe website to get it for free.
- Real Prospects for Energy Efficiency in the United States, (PDF) Commissioned by the US National Academy of Science, this report focuses separately on energy use in the buildings sector; transportation; and industry. The full report is available freely at National Academy Press.
- Unlocking energy efficiency in the US economy (PDF) This report from McKinsey, a consultancy, argues that sufficient energy efficiency potential exists in the US alone to reduce greenhouse gas emissions from that country by approximately one-third, all while saving consumers and businesses more than one trillion dollars (by comparison, the size of the US economy as a whole is about 15 trillion dollars).
- Assessment of Achievable Potential from Energy Efficiency and Demand Response Programs in the US (PDF). This report, from the Electric Power Research Institute (EPRI), an industry group funded by US electric utilities, focuses primarily on efficiency gains in the production and utilization of electric power. EPRI concludes that conservation possibilities in the US are smaller than does the McKinsey report, but EPRI does not dismiss conservation in any way.
The potential for increased energy conservation spreads across several sectors:
- Residential energy conservation through the adoption of energy-efficient appliances, lighting, etc.; or the adoption of technologies and practices that can yield less energy use in existing appliances (examples might include programmable thermostats). Lighting (LEDs and compact fluorescent bulbs) and cooling are particularly singled out in the reports as favorable technological options for conservation, as well as the energy-efficient design of new buildings. Where conditions permit, ground-source heat pumps, which take advantage of constant warm temperatures in the shallow earth to provide heating and cooling, are particularly attractive for single-family new construction. Energy-efficient retrofits of existing buildings are a particularly difficult challenge, due to high costs for older buildings in particular.
- Commercial and industrial energy conservation through building efficiency measures similar to those mentioned for the residential sector, and the adoption of highly-efficient heating and cooling systems. One of the best options for heating and cooling efficiency is so-called “combined cooling, heating and power” (CCHP) or “tri-generation.” CCHP technologies work by using fuel in a combustion turbine to generate electricity and then capturing the waste heat to use in some industrial process. The heat can also be diverted to an absorption chiller to provide cooling for buildings (see figure below). When the cooling cycle is removed from the system, this is referred to as “combined heat and power” or “co-generation.” While cogeneration or CCHP systems are typically fueled by natural gas, they do offer efficiencies of over 90%. Gasified biomass can be used as fuel in place of natural gas, but is typically more expensive unless the cogeneration unit is located close to a large supply of biomass fuel. One example of a biomass cogeneration facility is in Gussing, Austria (PDF). The waste heat produced in the Austrian system is distributed to local households and business through a set of steam distribution pipes, a process known as “district heating.”
- Transportation energy conservation, largely through improvements in gas mileage for passenger vehicles. The reports conclude that improving efficiencies of existing technologies (internal combustion gasoline engines; diesel engines; and hybrid gas-electric vehicles) would have a much larger impact on decreasing energy use in the transportation sector than would the introduction of new automotive technologies such as all-electric, biomass-fueled, or compressed natural gas vehicles. Trucking and air transportation have lower conservation potential than does the passenger vehicle market.

The image is a flow diagram illustrating a trigeneration system, which produces electricity, heating, and cooling from a single fuel source. Here is a detailed description of each component and the flow of energy:
- CHP (Combined Heat and Power): On the left side, there is a green rectangular box labeled "CHP." This is the primary unit where fuel is converted into electricity and heat. An arrow labeled "Fuel" points into this box from the left.
- Fuel: A yellow arrow labeled "Fuel" enters the CHP unit from the left, indicating the input of fuel.
- Electricity: A yellow arrow labeled "Electricity" exits from the CHP unit to the right, showing the production of electricity.
- Heat: A red arrow labeled "Heat" also exits from the CHP unit, moving upwards towards the absorption chiller.
- Absorption Chiller: Above the CHP unit, there is a light blue box labeled "Absorption chiller." The red "Heat" arrow from the CHP enters this chiller. From the chiller, a purple arrow labeled "Chilled water" exits to the right towards the cooling system.
- Cooling: To the right of the absorption chiller, there is a blue rectangular box labeled "Cooling," which receives the "Chilled water" from the absorption chiller.
- HVAC System: Below the cooling system, there is an orange rectangular box labeled "HVAC system." This system receives two types of inputs:
- A purple arrow labeled "CHW" (Chilled Water) from the absorption chiller.
- A red arrow labeled "Supply CHP Heat" from the CHP unit, which also goes through the boilers
- Boilers: Below the CHP unit, there is a red rectangular box labeled "Boilers." It receives heat from the CHP unit via a red arrow labeled "Supply CHP Heat." From the boilers, a red arrow labeled "'Top up' heat" goes to a purple box labeled "Heat load."
- Heat Load: To the left of the boilers, there is a purple box labeled "Heat load," which represents the demand for heating. It receives the "'Top up' heat" from the boilers.
The diagram uses different colors to distinguish between the flows of electricity (yellow), heat (red), and chilled water (purple), and it shows how these energy forms are utilized in a trigeneration system to meet various energy demands efficiently.
Achieving the Potential of Conservation
Achieving the Potential of ConservationWe have already mentioned investments like the biomass cogeneration plant in Austria as examples of conservation in action. The following two videos focus on two very different places in the United States that have undertaken aggressive conservation plans.
How the "Take Charge! Challenge" saved billions of BTUs... and four communities won $100,000 in the process.
Earth: The Operators' Manual
Video: Kansas: Conservation, the "5th Fuel" (ENERGY QUEST USA) (7:52)
Kansas: Conservation, the "5th Fuel"
NARRATOR: Kansas, a land of wheat, and corn, and cattle. In the heart of the country, it's number 48 out of all 50 states in energy efficiency. So this is a place where energy conservation can really make a difference.
MAN DRIVING TRUCK: Come on, girls.
NANCY JACKSON, FOUNDER, CLIMATE AND ENERGY PROJECT, KANSAS: Our region is a region of farmers. We are famously conservative, and we have talked from the beginning about putting the conserve back in conservative.
NARRATOR: According to a study by the Natural Resources Defense Council, improvements in energy efficiency have the potential to deliver more than 700 billion dollars in cost savings in the U.S. alone. But, they say, motivating consumers to take action is the key to unlocking this potential and that was the aim of Nancy Jackson's Climate and Energy project, with its Take Charge Challenge.
NANCY JACKSON: Kansans are patriotic, Kansans are hardworking, Kansans are humble.
NARRATOR: And Kansans are competitive.
Dorothy Barnett, Executive Director, Climate and Energy Project: You all are competing against Ottawa, Baldwin City, and Paola, so really, you gotta beat those guys, yes?
Lady representing Take Charge Challenge: Do you want to help us beat Manhattan?
NARRATOR: 2011 was the second year for the Take Charge Challenge, a friendly competition among 16 communities arranged in four regional groups, aiming to reduce their local energy use.
Ray Hammarlund, FMR, Director, State Energy Office Kansas Corporation Commission: Some of the lowest cost, most effective ways that you can take ownership of your energy future is taking ownership of the efficiency and the conservation of your house or your business.
NARRATOR: Ray Hammarlund's office used federal stimulus dollars to fund four prizes of 100,000 for each of the four regions in the competition. Just as important as the grand prize, 25,000 went to each community to fund local coordinators who took the lead in galvanizing grassroots efforts. Here's how the challenge worked in Iola.
JUDY BRIGHAM, FMR, CITY MANAGER, IOLA KANSAS: The challenge started in January of this year and ends October 1st. You're required to have three community events. We're going to have a lot more than that.
JEFF RISLEY, FMR, EXEC. DIRECTOR, CLIMATE AND ENERGY PROJECT: Today, we are at the Fight The Energy Hog Festival.
BECKY NILGES, TEAM LEADER, IOLA TAKE CHARGE CHALLENGE: I love the hog. He was just so ugly that he is cute. He represents energy hogs in your home. You would probably let him in, but you don't know the damage he's going to do.
NARRATOR: Competing towns scored points by counting how many CFL bulbs and programmable thermostats were installed and how many professional home energy audits were done.
RUSS RUDY, ENERGY AUDITOR, OZAWKIE, KANSAS: Our job as energy auditors, both for commercial buildings, as well as residential buildings, is, we're essentially detectives. What's happening here, is there a great deal of air leakage? And we're finding that the majority of the houses that we're dealing with actually use a lot more energy than they need to.
NARRATOR: In Lawrence, a house of worship did an energy audit, made changes, and got a pretty nice donation in its collection plate.
DAVID OWEN, TRINITY EPISCOPAL CHURCH, LAWRENCE, KANSAS: One part of the audit was to contact the power company. Well, during that process, we discovered they had been overcharging us. And so we got a check, a rebate check from them for 4,456 dollars.
NARRATOR: Other changes start small, but add up.
DAVID OWEN: We were a little bit worried at one point that the congregation would not accept the very bright, white type lights. So as an experiment, we took one of these chandeliers and changed all the bulbs in it to the CFLs. And then we took the priest over here, and we said, "Which one did we do?" and he could not tell us. So that told us it was ok to do them all.
NARRATOR: Changing lights, adding insulation, and upgrading windows paid off.
DAVID OWEN: Even though it's an old building, we saved 64 percent on the consumption of energy in this room.
NARRATOR: Lighting makes up about 15 percent of a typical home's electricity bill, and lighting all of our residential and commercial buildings uses about 13 percent of the nation's total electricity. But changing out old bulbs is a lot easier than paying for audits and the energy enhancements they recommend. Here's where the 2011 Take Charge Challenge promised material assistance using stimulus funds.
KEN WAGNER, MAYOR, BALDWIN CITY, KANSAS: It's a 500 dollar audit that costs you 100 dollars. The rest of that $500 is covered under the Take Charge Challenge program through the Kansas Energy Office. We really love the competitive spirit of the program and I think it's really raised a whole awareness of energy efficiency and the importance of energy efficiency to a lot of segments in our community here.
NARRATOR: Even Baldwin City bankers were grateful for financial assistance from state and federal governments.
DAVE HILL, MID-AMERICA BANK, BALDWIN CITY, KANSAS: Nine months ago, we installed a 14 kilowatt solar power system. I believe the initial cost of the system was basically 65,000 dollars, and then we got a substantial grant from USDA, I believe it was 20,000 dollars. We have about 18,000 dollars of our own money invested in the system, after all the deductions. We think it will pay out in about 7-8 years.
NARRATOR: David Crane of NRG Energy thinks that kind of approach makes good business sense.
DAVID CRANE, CEO, NRC ENERGY: What I say to every businessman who has a customer-facing business, think of a solar panel not only as a source of electricity, think of it as a billboard. You don't even have to write your name on it. Just put it on the top of your store and it will be sending a message to your customers that you're doing the right thing when it comes to sustainable energy.
NARRATOR: Surveys of why conservation is hard to achieve have found that people want one-stop shopping, a place where they can find out what to do and get practical recommendations about who to hire and what it all might cost, just what this new facility was to offer. Now it's mid-October, time for the results of the 2011 Take Charge Challenge.
MC: Fort Scott..And the winner is Baldwin City.
NANCY JACKSON: Over 100 billion BTUs were saved as a result of this Challenge, and millions and millions of dollars in each community. Those savings come from measures that have been installed that will guarantee those savings for years to come. So the savings are enormous over time.
KEN WAGNER: 100,000 dollars has a nice ring to it, and it's a nice cash award for a community of our size. Our challenge now is to continue on with energy efficiency and encourage our community to save.
NANCY JACKSON: One of our real goals was to help people to stop thinking about energy efficiency as the things they shouldn't do, as what not to do, and think about it instead as a tremendous opportunity to both save money in the near term, and to make our electric system more resilient in the long term. So it's about what we can do, both individually and together. And for us, that feels like the real win.
UNKNOWN SPEAKER: The United States today is twice as energy efficient as it was in the 1970s. And I think we have the capability in the decades ahead to become twice as energy efficient again.
NANCY WAGNER: We believe this is something that can be done really anywhere with great success.
Baltimore: City government, utilities, and "Energy Captains" reach out to neighbors, with economically stressed communities saving most.
Earth: The Operators' Manual
Video: Baltimore: Conservation in a Big City (6:25)
Baltimore: Conservation in a Big City"
NARRATOR: Baltimore, Maryland. According to one study, the air in Maryland is the 5th dirtiest in the nation. Are there ways for America's 21st largest city to cut emissions and save energy and money?
ALICE KENNEDY, SUSTAINABILITY COORDINATOR, BALTIMORE: Baltimore is unique in that it has over 225 neighborhoods within the city limits.
NARRATOR: Like Kansas, it's been using competition to jump-start the process of sustainability.
TEXT ON SCREEN: Park Heights neighborhood, Baltimore, MD
NARRATOR: BNEC, the Baltimore Neighborhood Energy Challenge, used existing events like this anti-crime rally in the Park Heights neighborhood to let city residents know about opportunities to save energy and to share the top ten things to do.
ALICE KENNEDY: We are willing to go and talk to anybody, anywhere, where we can get some face time with people to talk about energy savings and conservation. And if it means going to an event talking about crime, we will go to an event talking about crime. If it's about a neighborhood block party, we will go to a neighborhood block party. We find people where we can get them.
NARRATOR: In addition to sharing information, the Baltimore Challenge enlisted energy captains to canvass their own neighborhoods, taking the conservation message directly to homeowners. That's something the challenge's utility partners knew they couldn't do.
RUTH KISELEWICH, BALTIMORE GAS AND ELECTRIC COMPANY: If somebody just comes to your door and asks you to sign a petition to help the environment, to reduce your energy use, or if you see a message even from the local utility about all these great things you can do, it's not enough.
THMOAS STOSUR, CITY PLANNING DIRECTOR, BALTIMORE, MD: Unique thing about BNEC is the fact that it builds on this neighbor-to-neighbor advocacy and communication for energy conservation, and it goes right down to the household level, you know, neighbors talking to each other across the yard.
ROBBYN LEWIS, PATTERSON PARK ENERGY CAPTAIN, BALTIMORE: What do you guys do to save energy at home?
CITIZEN: Leave the lights off. During the day, we turn the lights off. When we're not looking at TV, we turn the TV off. So the TV cannot watch itself. That's basically what we do.
NARRATOR: To jump-start energy savings, the challenge has a bag of free stuff including indoor/outdoor CFLs, just right for the porch lights so characteristic of Baltimore.
ROBBYN LEWIS: Would you be interested in trying that if you can get up there?
CITIZEN: Yes! Well, he will!
CITIZEN: Everyone's household budgets are shrinking right now, too. so, I think that if we all just can be wise about what we're doing, we're all going save a little bit of money.
ROBBYN: So, you're all signed up? Thank you so much!
CITIZEN: I think I have to give you my account number.
NARRATOR: The challenge found that neighbor-to-neighbor sharing could be even more effective when the energy captains went inside homes to demonstrate quick and effective steps in a simplified peer-to-peer energy audit.
INEZ ROBB, ENERGY CAPTAIN, FULTON COMMUNITY ASSOCIATE: Then when you're not here or you're not using it, turn the power strip off.
NARRATOR: For Baltimore residents, saving water also saves substantial dollars, and this simple bladder reduces the amount used in each and every flush. What impressed the organizers of the first year's challenge was that Park Heights, home to the Pimlico racetrack and one of the most underserved neighborhoods, saved the most energy, nearly 13 percent. The organizers said the main reason was the energy and enthusiasm of the Park Heights energy captains.
THOMAS STOSUR: They actually saw those residents who participated there, the largest benefit of any of the neighborhoods.
TEXT ON SCREEN: Zeta Senior Center Park Heights Neighborhood
THOMAS STOSUR: To see this very grassroots effort take off and outperform any other neighborhood was really impressive.
NARRATOR: The Park Heights captains were also successful in applying for follow-on funding to continue their conservation efforts. The announcement of the 2011 community energy saving grants brought out U.S. Senator Ben Cardin and Baltimore mayor, Stephanie Rawlings-Blake.
STEPHANIE RAWLINGS-BLAKE, BALTIMORE MAYOR: Saving energy means lower utility costs and after the heat wave we've had, I'm sure everyone is interested in lower utility costs and the knowledge about energy savings is contagious.
NARRATOR: Baltimore city itself took lessons from the challenge and started pitting city departments against each other in a competition to catch energy vampires around city buildings. Using their new grant, the Park Heights captains started planning a new outreach campaign, using junior energy ambassadors to reach out to schools and others. With homeowners' permission, challenge staff could access utility bills and so track energy savings, neighborhood by neighborhood.
ALICE KENNEDY: So, we actually are able to show that we have proven savings by looking at utility usage data and showing that some of these little actions in the home can help save money and save energy.
NARRATOR: Bottom line, thanks in part to the challenge, Baltimore is on track to meet its goal of reducing carbon emissions and energy use 15 percent by 2015 and the utilities can cut back too.
RUTH KISELEWICH: As we reduce energy use and energy demand, what we're doing is we're eliminating the need for a new medium-size power plant. Particularly in hard economic times, this challenge helps build a sense of, "I can accomplish something individually. I can impact my life in a very positive way."
STEPHANIE RAWLINGS-BLAKE: Saving energy means a reduced strain on our power grid, lower utility costs, as well as reduced greenhouse gas emissions. Which means, for generations to come, we will have better air quality and a cleaner and more sustainable Baltimore.
After you watch the videos, go back to the executive summary of the McKinsey report on energy efficiency, Unlocking Energy Efficiency in the U.S. Economy, and scroll down to look at Exhibit G on page 16 of the report. What strategies employed in Kansas and Baltimore can you find on this chart? Remember that a lot of the emphasis in Kansas and Baltimore was on building energy efficiency, which means things like improving lighting and so-called “shell improvements” (like new windows, weatherproofing and so forth). Can you find these strategies on the graph in Exhibit G? What do you notice about the cost of reducing CO2 emissions using these strategies? If you look hard enough, you’ll see that the costs are negative, meaning that the residents of Kansas and Baltimore were saving money and doing something good for the planet.
That’s nice, but it raises an important question for energy conservation. If there really is so much money waiting to be saved through energy conservation, why aren’t people taking advantage? We don’t like to pay more than we have to for food, for clothes, or almost anything, nor do we like to drop hundred-dollar bills on the ground. But people systematically behave like they want to waste money paying for energy. This “energy efficiency paradox” has been noticed by economists for more than thirty years, and we still don’t really know why it happens. There are a few ideas, though:
- Tenancy: Many people do not own the places in which they live, yet are responsible for energy bills. This creates a problem known as the “split incentive,” where a building owner has no incentive to invest in conservation measures because he or she doesn’t pay the energy bills. The tenant has some incentive but does not have the right (since the tenant does not own the property in the case of rentals) to make major energy-efficient renovations. (Tenants can still buy efficient light bulbs and, in some cases, appliances, however.)
- Mobility: People in modern economies move fairly often – about every seven or eight years on average. This is about the typical payback period for a good energy conservation investment. The market does not always price conservation very well (i.e., a conservation investment in a house that you plan to sell soon may not be reflected in the market price of the house), so this makes conservation investments look risky.
- Liquidity: Some types of conservation investments, such as for weatherproofing or new appliances, can be expensive. Not everyone has enough cash lying around to make these investments, and charging expensive items to credit cards involves high-interest payments.
- Myopia or Loss Aversion: The way that people’s brains process difficult decisions may explain part of the energy efficiency paradox. The fact that many people do not make energy conservation investments (whether those are investments in appliances or “investments” in behavioral changes), even though those investments will pay for themselves relatively quickly, suggests some level of myopia (nearsightedness). People may not care about the future as much as we think they should. Another explanation from behavioral economics is that people tend to fear large losses more than they enjoy large gains. (So the bad feeling you get if I take $100 away from you is stronger than the good feeling that you get if I give you $100.) People also tend to fear things that they don’t understand or that represent deviations from historical behavior. So instead of a lack of far-sightedness, the reluctance to engage in conservation measures may reflect a perception among people that those measures will not really save them money; may involve uncomfortable behavioral changes, or will result in the replacement of functional appliances with things that don’t work so well.
Activate Your Learning
All of these factors suggest that there is some role for policy initiatives to play in encouraging conservation. Examples of policy initiatives include efficiency standards for transportation, housing or appliances; financial incentives; and improving information flow to people. Refrigerators in the United States are a simple but good example of how standards can be used to improve energy efficiency without degrading utility. Starting in the 1970s, the US federal government imposed energy efficiency standards on residential refrigerators. The result was, over the course of more than 20 years, the energy usage by individual refrigerators in the US went down by 80% while the size of the average refrigerator went up by nearly 20%.
Planners in some cities have also been able to encourage conservation by making energy-intensive activities more difficult or more expensive. We’ll finish off this module with the following video, which focuses on transportation, shows how Portland, Oregon became the bicycle capital of the US:
Earth: The Operators' Manual
Decisions made 30 years ago are now paying off in fewer car trips, and a more livable city.
Video: Portland: "The Trip Not Taken" (7:55)
Portland: "The Trip Not Taken"
NARRATOR: Can what cities do locally really move the dial toward national sustainability? Portland, Oregon, shows what's possible. 70 percent of all the oil consumed in America is used for transportation. But congestion wastes a huge amount, perhaps 16 percent of all the oil imported from the Persian Gulf.
EARL BLUMENAUER, US REPRESENTATIVE, OR 3RD DISTRICT: Despite our best efforts, we are still taking 10 percent of the world's petroleum supply just to get back and forth to work every day.
NARRATOR: Congressman Earl Blumenauer represents Oregon's third district, including Portland. He heads up the Congressional bike caucus. And his city started finding solutions some 30 years back.
SUSAN ANDERSON, DIRECTOR, BUREAU OF PLANNING AND SUSTAINABILITY, PORTLAND, OR: You know, one of the things we did was, we have an urban growth boundary. And what that is, is a ring around the city of Portland and its surrounding suburbs so that we cannot kind of sprawl out and we can't become Los Angeles.
NARRATOR: Between 1950 and 1990, America's urban population grew by 90 percent. But cities' land area grew more than 250 percent. Remarkably, Portland bucked that trend of urban sprawl.
SAM ADAMS, MAYOR, PORTLAND, OR: Key decisions made include a move from investment in freeways into transit and also to integrate transit planning with land use planning.
NARRATOR: Along with region-wide thinking, Portland now has an infrastructure that emphasizes mass transit, along with something this city pioneered in the 19th century... bicycles. It may be easy to parody Portland's love affair with all things green including the cycling community. But putting bikes to work has practical advantages if they can be made into something used for more than pure recreation. That's the purpose of what's called the Oregon Manifest, a design challenge to come up with clever and practical ways to transport packages as well as people.
STEPHANIE NOLL, BIKE TRANSPORTATION ALLIANCE: A decade ago, it was hard to find a bike that was not a racing bike or a mountain bike or a touring bike. Now any bike shop that you walk into, in the city of Portland anyway, you'll find city bikes, bikes that are really made for commuting to and from work, from riding to the park to the grocery store.
NARRATOR: Half of U.S. car trips cover less than 10 miles, and short trips where engines make a cold start are the most gasoline intensive and polluting. So if city bikes like these became mass-produced and popular and if every one of the nation's more than 100,000,000 households substituted one 5-mile trip each day, the nation would save 36.5 billion dollars on gasoline. Already, one young entrepreneur has put Portland's non-polluting pedal power to work and made a business of it.
FRANKLIN JONES, OWNER, B-LINE URBAN DELIVERY: We use these large tricycle trucks to deliver products into a two-mile radius of the urban core for Portland. We deliver everything from bread and produce to office products to water to cycle parts. Each trike can carry about 800 pounds. They're all electric-assisted. So it's a hybrid human and electric power. The less congestion we have, our goods and services move faster. We're an international global city. We have to be scrappy, so bicyclists are about reducing congestion. Over the past 2 1/2 years, we've helped displace over 25,000 truck or van-based deliveries. And when you start to look at the overall greenhouse gas reduction and avoidance, day by day it's not very much, but cumulatively it really starts to stack up.
NARRATOR: Cycling may be an outward and very visible sign of a transition away from cars, but the region's mass transit network also has serious numbers.
GEORGE BEARD, OFFICE OF RESEARCH AND STRATEGIC PARTNERSHIPS, PORTLAND STATE UNIVERSITY: We have been electrifying our transportation for 30 years here. And today there's literally about 150,000 boardings per day. And that means that people who otherwise might be traveling around in cars are traveling around in electrons.
EARL BLUMENAUER: As a result of how we put the pieces together in Portland over the last 1/3 of a century, Portlanders voluntarily drive 20 percent less than the national average. This translates into a dollar savings for the typical household of more than 2,500 dollars a year. And that's money that stays in our community. It is not going to Houston or Saudi Arabia, Japan or Germany.
NARRATOR: Portland's leaders talk about the trip not taken as something that saves money and benefits the environment. Currently, more than a quarter of Portland's workforce commutes by bike, carpool or mass transit. But planners are working on the next giant step in low carbon transportation, electric vehicles.
UNKNOWN SPEAKER: I think we get to the point where electric vehicles will be able to do, you know, 98 percent of the personal transportation needs, and of course, that's mainly in the cities and the suburbs.
NARRATOR: An average Portlander's daily commute of 20 miles could easily be powered by a single battery charge. So Electric Avenue is a test site to get ground truth on how people might use e-vehicles.
GEORGE BEARD: We think the next 10 to 30 years is going to be focusing on individual passenger vehicles like the ones behind me and also on urban freight and service vehicles, those parcel delivery trucks, the post office.
NARRATOR: Those vehicles also make lots of short trips with starts and stops, producing emissions and using up a lot of fuel. Nationally, companies like Frito-Lay are competing with others like Federal Express to see who can deploy the most low emission delivery vehicles.
UNKNOWN SPEAKER: Tailpipe emissions are the single greatest source of emissions in our major cities. So I think probably every mayor, everywhere, supports the idea of getting more vehicles on their local roads that don't have tailpipes.
NARRATOR: Portland's original plans concentrated on land use and transportation. The focus for the future is the neighborhood. The goal is what's called a 20-minute neighborhood with most everything a family needs in easy walking or biking distance, where kids can learn how to ride safely to and from school.
EARL BLUMENAUER: This effort of integrating the pedestrian, streetcar, bike, along with mixed-use development, it is enriching the experience of going to the store, going to visit a neighbor and makes us a more sustainable, cost-effective community.
NARRATOR: Portland's transportation innovations have direct economic benefits.
SUSAN ANDERSON: By actually doing the right things here, we've built this base of great export. We've got solar firms, wind firms. We have firms focused on energy efficiency with hundreds and hundreds of employees. And they're locating here, or they grew up here because we were trying to do something, and we built demand here.
SAM ADAMS: We're one of the cheapest cities on the West Coast because we offer options other than having to own a car to live and work and have a good life.
SUSAN ANDERSON: I think just like anything you're trying to do, whether it's a business or a government or a city, good things don't happen by accident. You need to have some good plans.
EARL BLUMENAUER: We can reduce that carbon footprint while we provide economic opportunities for our citizens and others.
In summary, there are ways that communities and other organizations are trying to get beyond the energy efficiency paradox. What the examples from Kansas, Baltimore and Portland (along with stories like the refrigerator standards) show us is that there are different ways to motivate individuals to act (ironically) more in their self-interest, saving money while reducing their environmental footprint at the same time. Good government policy is certainly one way of doing this, although a community-driven organization can be just as effective.
Summative Assessment
Summative AssessmentReminder!
After completing your Summative Assessment, don't forget to& take the Module 8 Quiz. If you didn't answer the Learning Checkpoint questions, take a few minutes to complete them now. They will help your study for the quiz and you may even see a few of those question on the quiz!
Global Energy Consumption, Carbon Emissions, and Climate Activity
In this activity, we will explore the relationships between global population, energy consumption, carbon emissions, and the future of climate. The primary goal is to understand what it will take to get us to a sustainable future. We will see that there is a chain of causality here — the future of climate depends on the future of carbon emissions, which depends on the global demand for energy, which in turn depends on the global population. Obviously, controlling global population is one way to limit carbon emissions and thus avoid dangerous climate change, but there are other options too — we can affect the carbon emissions by limiting the per capita (per person) demand for energy through improved efficiencies and by producing more of our energy from “greener” sources. By exploring these relationships in a computer model, we can learn what kinds of changes are needed to limit the amount of global warming in the next few centuries.
Instructions
Read the activity text and then run the experiments using the directions given on the downloadable worksheet below. We recommend that you download the worksheet and follow it, writing down your answers as you go through the exercise.
Files to Download
Download worksheet to use to practice and view the graded model values.
Submitting Your Assessment
Once you have answered all of the questions on the worksheet, go Module 8 Summative Assessment (Graded). The questions listed in the worksheet will be repeated as a Canvas Assessment. So all you will have to do is read the question and select the answer that you have on your worksheet. You should not need much time to submit your answers since all of the work should be done prior to clicking the assessment quiz.
Grading
This assignment is worth a total of 19 points. Questions 1-13 are each worth one point.
Review of Energy Units
Review of Energy UnitsBefore going ahead, we need to make sure we all have a clear picture of the various units we use to measure energy.
Joule — the joule (J) is the basic unit of energy, work done, or heat in the SI system of units; it is defined as the amount of energy, or work done, in applying a force of one Newton over a distance of one meter. One way to think of this is as the energy needed to lift a small apple (about 100 g) one meter. An average person gives off about 60 J per second in the form of heat. We are going to be talking about very large amounts of energy, so we need to know about some terms that are used to describe larger sums of energy:
| Exponential notation | Scientific Notation | Abbreviation | Unit name |
|---|---|---|---|
| 103J | 1e3 J | kJ | kilojoule |
| 106J | 1e6 J | MJ | megajoule |
| 109J | 1e9 J | GJ | gigajoule |
| 1012J | 1e12 J | TJ | terajoule |
| 1015J | 1e15 J | PJ | petajoule |
| 1018J | 1e18 J | EJ | exajoule |
| 1021J | 1e21 J | ZJ | zettajoule |
| 1024J | 1e24 J | YJ | yottajoule |
In recent years, we humans have consumed about 518 EJ of energy per year, which is something like 74 GJ per person per year.
British Thermal Unit— the btu is another unit of energy that you might run into. One btu is the amount of energy needed to warm one pound of water one °F. One btu is equal to about 1055 joules of energy. Oddly, some branches of our government still use the btu as a measure of energy.
Watt— the watt (W) is a measure of power and is closely related to the Joule; it is the rate of energy flow, or joules/second. For instance, a 40 W light bulb uses 40 joules of energy per second, and the average sunlight on the surface of Earth delivers 343 W over every square meter of the surface.
Kilowatt hours— when you (or you parents maybe for now) pay the electric bill each month, you get charged according to how much energy you used, and they express this in the form of kilowatt hours — kWh. If you use 1000 Watts for one hour, then you have used one kWh. This is really a unit of energy, not power:
In other words, one kilowatt hour is 1000 joules per second (kW) summed up over one hour (3600 seconds), which is the same as 3.6 MJ or 3.6 x 106J or 3.6e6 J.
Global Energy Sources
Global Energy SourcesThe energy we use to support the whole range of human activities comes from a variety of sources, but as you all know, fossil fuels (coal, oil, and natural gas) currently provide the majority of our energy on a global basis, supplying about 81% of the energy we use:

The image is a pie chart titled "Sources of Global Energy," showing the distribution of different energy sources globally. The chart is divided into segments, each representing a different energy source with corresponding percentages:
- Oil: The largest segment, colored in blue, represents 33% of global energy sources.
- Coal: The second largest segment, colored in red, accounts for 27% of global energy.
- Gas: Represented by a green segment, gas makes up 21% of the energy mix.
- Solar, Wind, Other: This segment is yellow and constitutes 11% of the energy sources.
- Hydro: A light blue segment representing 2% of global energy.
- Nuclear: The smallest segment, colored in purple, accounts for 6% of the energy sources.
Each segment is labeled with the energy source and its percentage, providing a clear breakdown of the global energy composition.
The non-fossil fuel sources include nuclear, hydro (dams with electrical turbines attached to the outflow), solar (both photovoltaic and solar thermal), and a variety of other sources. These non-fossil fuel sources currently supply about 19% of the total energy.
The percentages of our energy provided by these different sources have clearly changed over time and will certainly change in the future as well. The graph below gives us some sense of how dramatically things have changed over the past 210 years:

The image is a line graph titled "Global Energy Consumption by Source," showing the consumption of various energy sources from the year 1800 to 2000. The y-axis represents energy consumption in exajoules (EJ), ranging from 0 to 160 EJ. The x-axis represents the years, marked at intervals from 1800 to 2000.
The graph includes data for five different energy sources, each represented by a different colored line:
- Biofuels: Represented by a light blue line, biofuel consumption starts at around 10 EJ in 1800 and shows a slight increase over time, peaking around 20 EJ by 2000.
- Coal: Represented by a red line, coal consumption starts near 0 EJ in 1800, begins to rise significantly around 1850, and continues to increase sharply, reaching approximately 120 EJ by 2000.
- Crude Oil: Represented by a green line, crude oil consumption starts near 0 EJ in 1850, increases steadily from around 1900, and rises sharply post-1950, reaching about 140 EJ by 2000.
- Natural Gas: Represented by a purple line, natural gas consumption starts near 0 EJ in 1900, with a notable increase starting around 1950, reaching around 100 EJ by 2000.
- Hydro Electricity: Represented by a dark blue line, hydroelectricity consumption starts near 0 EJ around 1900, with a gradual increase over time, reaching about 30 EJ by 2000.
- Nuclear Electricity: Represented by an orange line, nuclear electricity consumption starts near 0 EJ around 1950, with a sharp increase from that point, reaching around 30 EJ by 2000.
Key observations:
- Coal and crude oil show the most significant increases in consumption over the period.
- Natural gas consumption also rises sharply, particularly after 1950.
- Biofuels show a relatively flat trend, with a minor increase.
- Hydro and nuclear electricity consumption start later, but show steady growth over time.
- By 2000, crude oil has the highest consumption, followed by coal, natural gas, hydroelectricity, nuclear electricity, and biofuels in that order.
A legend in the top-left corner of the graph identifies the colors associated with each energy source.
There are a couple of interesting features to point out about this graph. For one, note that the total amount of energy consumed has risen dramatically over time — this is undoubtedly related to both population growth and the industrial revolution. The second point is that shifting from one energy source to another takes a long time. Oil was being pumped out of the ground in 1860, and even though it has a greater energy density and is more versatile than coal, it did not really make its mark as an energy source until about 1920, and it did not surpass coal as an energy source until about 1940. Of course, you might argue that the world changed more slowly back then, but it is probably hard to avoid the conclusion that our energy supply system has a lot of inertia, resulting in sluggish change.
Global Energy Uses
Global Energy UsesWe are all aware of some of the ways we use energy — heating and cooling our homes, transporting ourselves via car, bus, train, or plane — but there are many other uses of energy that we tend not to think about. For instance, growing food and getting it onto your plate uses energy — think of the farming equipment, the food processing plant, the transportation to your local store. Or, think of manufactured items — to make something like a car requires energy to extract the raw materials from the earth and then assembling them requires a great deal of energy. So, when you consider all of the different uses of energy, we see a dominance of industrial uses:

The image is a pie chart titled "Global Energy End Use," showing the distribution of global energy consumption across different sectors. The chart is divided into four segments, each representing a different sector with corresponding percentages:
- Industry: The largest segment, colored in blue, represents 52% of global energy end use.
- Transport: The second largest segment, colored in red, accounts for 26% of the energy consumption.
- Residential: Represented by a purple segment, this sector uses 14% of the global energy.
- Commercial: The smallest segment, colored in green, constitutes 8% of the energy end use.
Each segment is labeled with the sector name and its percentage, providing a clear breakdown of how global energy is utilized across these sectors.
Global Energy Consumption
Global Energy ConsumptionSince we are going to be modeling the future of global energy consumption, we should first familiarize ourselves with the recent history of energy consumption.

The image is a stacked area chart titled "History of Global Energy Consumption," showing the consumption of various energy sources from 1800 to 2000. The y-axis represents energy consumption in exajoules (EJ), ranging from 0 to 500 EJ. The x-axis represents the years, marked at intervals from 1800 to 2000.
The chart includes data for six different energy sources, each represented by a different colored area:
- Biofuels: Represented by a red area at the bottom of the stack, biofuel consumption starts at around 10 EJ in 1800 and shows a gradual increase, peaking around 50 EJ by 2000.
- Coal: Represented by a green area above biofuels, coal consumption starts near 0 EJ in 1800, begins to rise significantly around 1850, and continues to increase sharply, reaching approximately 150 EJ by 2000.
- Crude Oil: Represented by a yellow area above coal, crude oil consumption starts near 0 EJ around 1880, with a notable increase starting around 1900, reaching about 150 EJ by 2000.
- Natural Gas: Represented by a light blue area above crude oil, natural gas consumption starts near 0 EJ around 1900, with a sharp increase post-1950, reaching around 100 EJ by 2000.
- Hydro Electricity: Represented by an orange area above natural gas, hydro electricity consumption starts near 0 EJ around 1900, with a steady increase over time, reaching about 30 EJ by 2000.
- Nuclear Electricity: Represented by a dark blue area at the top, nuclear electricity consumption starts near 0 EJ around 1950, with a rapid increase from that point, reaching around 30 EJ by 2000.
Key observations:
- The total energy consumption shows a steep rise starting around the mid-20th century.
- Coal and crude oil have the largest contributions to the total energy consumption, especially from the late 19th century onwards.
- Natural gas becomes significant post-1950.
- Hydro and nuclear electricity start later but show steady growth.
- Biofuels have a consistent but smaller share throughout the period.
A legend on the right side of the chart identifies the colors associated with each energy source.
Question: Why has our energy consumption increased over this time period?
Here, we will explore a few possibilities, the first of which is global population increase — more people on the planet leads to a greater total energy consumption. To evaluate this, we need to plot the global population and the total energy consumption on the same graph to see if the rise in population matches the rise in energy consumption.

The image is a line graph titled "Energy Consumption and Population," showing the relationship between global energy consumption and global population from the year 1800 to 2000.
- Axes:
- The x-axis represents the years, ranging from 1800 to 2000.
- The left y-axis represents energy consumption in exajoules (EJ), ranging from 0 to 500 EJ.
- The right y-axis represents population in billions, ranging from 0.800 to 6.800 billion
- Data Series:
- Energy Consumption: Represented by blue squares connected by a line, this series shows the trend of global energy consumption over time. It starts at a low level around 10 EJ in 1800 and increases steadily, with a significant rise starting around 1950, reaching approximately 450 EJ by 2000.
- Population: Represented by red circles connected by a line, this series shows the trend of global population growth. It starts at around 1 billion in 1800 and grows gradually, with a sharp increase post-1950, reaching about 6.8 billion by 2000
- Trends:
- Both energy consumption and population show a similar trend of gradual increase until around 1950, after which both exhibit exponential growth.
- The correlation between the two trends is evident, with both lines rising sharply in the latter half of the 20th century, indicating a strong relationship between population growth and energy consumption
- Key Points:
- Around 1800, energy consumption is very low, and the population is just above 1 billion.
- By 1900, energy consumption has risen to about 30 EJ, and the population has grown to approximately 1.6 billion.
- Post-1950, there is a dramatic increase in both metrics, with energy consumption reaching nearly 450 EJ and the population reaching 6.8 billion by 2000
The graph uses two different scales to represent energy consumption and population, with the right y-axis for population being in billions and the left y-axis for energy consumption being in exajoules. The visual representation highlights the parallel growth of these two variables over the 200-year period.
The two curves match very closely, suggesting that population increase is certainly one of the main reasons for the rise in energy consumption. But is it as simple as that — more people equals more energy consumption?
If the rise in global energy consumption is due entirely to population increase, then there should be a constant amount of energy consumed per person — this is called the per capita energy consumption. To get the per capita energy consumption, we just need to divide the total energy by the population (in billions) — so we’ll end up with Exajoules of energy per billion people.

The image is a stacked area chart titled "History of Per Capita Energy Consumption," showing the consumption of various energy sources per capita from 1800 to 2000. The y-axis represents energy consumption in exajoules per billion people, ranging from 0 to 80 EJ per billion. The x-axis represents the years, marked at intervals from 1800 to 2000.
The chart includes data for six different energy sources, each represented by a different colored area:
- Biofuels: Represented by a red area at the bottom of the stack, biofuel consumption starts at around 10 EJ per billion in 1800 and shows a gradual increase, peaking around 20 EJ per billion by the mid-20th century before declining slightly towards 2000.
- Coal: Represented by a green area above biofuels, coal consumption starts near 0 EJ per billion in 1800, begins to rise significantly around 1850, and continues to increase, reaching a peak of about 30 EJ per billion around 1950, then declines slightly but remains significant.
- Crude Oil: Represented by a purple area above coal, crude oil consumption starts near 0 EJ per billion around 1880, with a notable increase starting around 1900, reaching about 30 EJ per billion by 1970, then slightly decreases.
- Natural Gas: Represented by a light blue area above crude oil, natural gas consumption starts near 0 EJ per billion around 1900, with a sharp increase post-1950, reaching around 20 EJ per billion by 2000.
- Hydro: Represented by an orange area above natural gas, hydro energy consumption starts near 0 EJ per billion around 1900, with a steady increase over time, reaching about 10 EJ per billion by 2000.
- Nuclear Electricity: Represented by a dark blue area at the top, nuclear electricity consumption starts near 0 EJ per billion around 1950, with a rapid increase from that point, reaching around 10 EJ per billion by 2000.
Key observations:
- The total per capita energy consumption shows a steady increase from 1800, with a significant rise starting around the mid-20th century.
- Coal and crude oil have significant contributions to per capita energy consumption, especially from the late 19th century onwards.
- Natural gas becomes a major contributor post-1950.
- Hydro and nuclear electricity start later but show steady growth, becoming more prominent towards the end of the 20th century.
- Biofuels have a consistent but decreasing share towards the end of the period.
A legend on the right side of the chart identifies the colors associated with each energy source.
Today, we use about 3 times as much energy per person than in 1900, which is not such a surprise if you consider that we have many more sources of energy available to us now compared to 1900. Note that at the same time that the population really takes off (see Fig. 5), the per capita energy consumption also begins to rise. This means that the total global energy consumption rises due to both the population and the demand per person for more energy.
Let’s try to understand this per capita energy consumption a bit better. We know that the global average is 74 EJ per billion people, but how does this value change from place to place? There are some huge variations across the globe — Afghans use about 4 GJ per person per year, while Icelanders use 709 GJ per person. Why does it vary so much? Is it due to the level of economic development, or the availability of energy, or the culture, or the climate? You can come up with reasons why each of these factors (and others) might be important, but let’s examine one in more detail — the economic development expressed as the GDP (the gross domestic product, which reflects the size of the economy) per capita.

Figure 7. The per capita energy as a function of the per capita GDP. The axes of this plot are not linear, but logarithmic in order to show more clearly what is going on at the lower values. If you plot this with linear axes, the data mostly form a big cloud in the lower left. The red squares show the global averages in 2013 and about 1950. Data World Bank.
The image is a scatter plot graph titled "Relationship Between GDP and Energy Consumption." It illustrates the relationship between per capita GDP (in $) on the x-axis and per capita energy consumption (in GJ/person) on the y-axis for various countries over time. The graph uses a logarithmic scale for both axes.
- Axes:
- The x-axis is labeled "Per Capita GDP $" and ranges from 1,000 to 100,000.
- The y-axis is labeled "Per Capita Energy Consumption (GJ/person)" and ranges from 1 to 1,000.
- Data Points:
- Each data point represents a country, with blue circles indicating data from various years.
- Specific countries are highlighted with labels:
- Afghanistan is located at the lower left of the graph, indicating low GDP and low energy consumption.
- Mexico is positioned towards the middle of the graph.
- USA is located towards the upper right, indicating higher GDP and energy consumption.
- Qatar and Iceland are at the far right, with very high GDP and energy consumption, with Iceland having the highest energy consumption
- Global Averages:
- Two red squares mark the global averages:
- One labeled "Global Average 1950" is located lower on the graph, indicating lower GDP and energy consumption.
- Another labeled "Global Average 2013" is positioned higher, showing an increase in both GDP and energy consumption over time.
- Trends:
- There is a general upward trend, suggesting that as per capita GDP increases, so does per capita energy consumption.
- The spread of data points widens as GDP increases, indicating variability in energy consumption among countries with similar GDP levels.
Annotations:
- Arrows point to the labeled countries and global averages, providing a visual guide to their positions on the graph.
The graph uses a logarithmic scale to accommodate the wide range of values, and the data points are densely packed, showing the distribution and relationship between GDP and energy consumption across different countries.
- Two red squares mark the global averages:
The obvious linear trend to these data suggests that per capita energy consumption is a function of GDP, while the fact that it is not a tight line tells us that GDP is not the whole story in terms of explaining the differences in energy consumption. Not surprisingly, we are near the upper right of this plot, consuming more than 300 GJ per person per year. Iceland’s economy is not as big per person as ours, and yet they consume vast amounts of energy per person, partly because it is cold and they have big heating demands, but also because they have abundant, inexpensive geothermal energy thanks to the fact that they live on a huge volcano. Many European countries with strong economies (e.g., Germany) use far less energy per person than we do (168 GJ compared to our 301 GJ), in part because they are more efficient than us and in part because they are smaller, which cuts down on their transportation. A big part of the reason they are more efficient than us is that energy costs more over there — for instance, a gallon of gas in Italy is about $8. Our neighbor, Mexico, has a per capita energy consumption that is just about the global average.
Pay attention to the two red squares in Fig. 7 — these show the global averages in terms of GDP and energy consumption per person for two points in time. The trend is most definitely towards increasing GDP (meaning increasing economic development) and increasing energy consumption per person. Economic development is definitely a good thing because it is tied to all sorts of indicators of a higher quality of life — better education, better health care, better diet, increased life expectancy, and lower birth rates. But, economic growth has historically come with higher energy consumption, and that means higher carbon emissions.
Now that we’ve seen what some of the patterns and trends are, we are ready to think about the future.
Creating an Emissions Scenario
Creating an Emissions ScenarioThere are many ways to meet our energy demands for the future, and each way could include different choices about how much of each energy source we will need. We’re going to refer to these “ways” as scenarios — hypothetical descriptions of our energy future. Each scenario could also include assumptions about how the population will change, how the economy will grow, how much effort we put into developing new technologies and conservation strategies. Each scenario can be used to generate a history of emissions of CO2, and then we can plug that into a climate model to see the consequences of each scenario.
Emissions per unit energy for different sources
The global emission of carbon into the atmosphere due to human activities is dominated by the combustion of fossil fuels in the generation of energy, but the various energy sources — coal, oil, and gas — emit different amounts of CO2 per unit of energy generated. Coal releases the most CO2per unit of energy generated during combustion — about 103.7 g CO2per MJ (106 J) of energy. Oil follows with 65.7 g CO2/MJ, and gas is the “cleanest” or most efficient of these, releasing about 62.2 g CO2/MJ.
At first, you might think that renewable or non-fossil fuel sources of energy will not generate any carbon emissions, but in reality, there are some emissions related to obtaining our energy from these means. For example, a nuclear power plant requires huge quantities of cement, the production of which releases CO2 into the atmosphere. The manufacture of solar panels requires energy as well, and so there are emissions related to that process because our current industrial world gets most of its energy from fossil fuels. For these energy sources, the emissions per unit of energy are generally estimated using a lifetime approach — if you emitted 1000 g of CO2 to make a solar panel and over its lifetime, it generated 500 MJ, then its emission rate is 2 g CO2/MJ. If we average these non-fossil fuel sources together, they release about 5 g CO2/MJ — far cleaner than the other energy sources, but not perfectly clean.
So, to sum it up, here is a ranking of the emissions related to different energy sources:
| Energy Source | g CO2 per MJ |
|---|---|
| Coal | 103.7 |
| Oil | 65.7 |
| Gas | 62.2 |
| Non-Fossil Fuel* | 6.2** |
*Hydro, Nuclear, Wind, Solar
**This will decrease as the non-fossil fuel fraction increases
Calculating global emissions of carbon
Calculating global emissions of carbonOur recent energy consumption is about 518 EJ (1018 J). Let’s calculate the emissions of CO2 caused by this energy consumption, given the values for CO2/MJ given above and the current proportions of energy sources — 33% oil, 27% coal, 21% gas, and 19% other non-fossil fuel sources. The way to do this is to first figure out how many grams of CO2 are emitted per MJ given this mix of fuel sources, and then scale up from 1 MJ to 518 EJ. Let’s look at an example of how to do the math here — let r1-4 in the equation below be the rates of CO2 emission per MJ given above, and let f1-4 be the fractions of different fuels given above. So r1 could be the rate for oil (65.7) and f1 would be the fraction of oil (.33). You can get the composite rate from:
Plugging in the numbers, we get:
What is the total amount of CO2 emitted? We want the answer to be in Gigatons — that’s a billion tons, and in the metric system, one ton is 1000 kg (1e6 g or 106 g), which means that 1Gt = 1015 g (1e15 g).
So, the result is 31.8 Gt of CO2, which is very close to recent estimates for global emissions.
It is more common to see the emissions expressed as Gt of just C, not CO2, and we can easily convert the above by multiplying it by the atomic weight of carbon divided by the molecular weight of CO2, as follows:
And remember that this is the annual rate of emission.
Let’s quickly review what went into this calculation. We started with the annual global energy consumption at the present, which we can think of as being the product of the global population times the per capita energy consumption. Then we calculated the amount of CO2 emitted per MJ of energy, based on different fractions of coal, oil, gas, and non-fossil energy sources — this is the emissions rate. Multiplying the emissions rate times the total energy consumed then gives us the global emissions of either CO2 or just C.
We now see what is required to create an emissions scenario:
- A projection of global population
- A projection of the per capita energy demand
- A projection of the fractions of our energy provided by different sources
- Emissions rates for the various energy sources
In this list, the first three are variables — the 4th is just a matter of chemistry. So, the first three constitute the three principal controls on carbon emissions.
Here is a diagram of a simple model that will allow us to set up emissions scenarios for the future:

The image is a complex systems diagram titled "System Dynamics Model of Energy Consumption and Emissions," which illustrates the relationships and feedback loops between various factors related to energy consumption, population, and emissions. Here's a detailed breakdown:
The image is a diagram showing energy use, population, and emissions relationships. It consists of blue circles and rectangles connected by pink arrows.
- On the left, there are nodes for Population, Pop Limit, net change, and per capita energy, which link to global energy consumption and then to Total Emissions.
- In the center, a node labeled RC connects to several factors: f gas, f oil, f coal, and emission rates (er gas, er oil, er coal, plus renewables).
- On the right, there are three change nodes: f change 1, change 2, and f change 3, each linked to switches for Coal, Oil, and Gas. These switches have associated timing and reduction nodes (e.g., coal red time, f coal reduction).
- Arrows show how changes in population, energy use, and resource switching affect emissions.
In this model, the per capita energy (a graph that you can change) is multiplied by the Population to give the global energy consumption, which is then multiplied by RC (the composite emissions rate) to give Total Emissions. Just as we saw in the sample calculation above, RC is a function of the fractions and emissions rates for the various sources. Note that the non-fossil fuel energy sources (nuclear, solar, wind, hydro, geothermal, etc.) are all lumped into a category called renew, because they are mostly renewable. The model includes a set of additional converters (circles) that allow you to change the proportional contributions from the different energy sources during the model run.
This emissions model is actually part of a much larger model that includes a global carbon cycle model and a climate model. Here is how it works — the Total Emissions transfers carbon from a reservoir called Fossil Fuels that represents all the Gigatons of carbon stored in oil, gas, and coal (they add up to 5000 Gt) into the atmosphere. Some of the carbon stays in the atmosphere, but the majority of it goes into plants, soil, and the oceans, cycling around between the reservoirs indicated below. The amount of carbon that stays in the atmosphere then determines the greenhouse forcing that affects the global temperature — you’ve already seen the climate model part of this. The carbon cycle part of the model is complicated, but it is a good one in the sense that if we plug in the known historical record of carbon emissions, it gives us the known historical CO2 concentrations of the atmosphere. Here is a highly schematic version of the model:

The image is a flowchart diagram illustrating the global carbon cycle, showing the movement and storage of carbon in various parts of the Earth's system. Units are provided in gigatons of carbon (GT), where one gigaton equals one billion metric tons or 101510^{15}1015 grams. The diagram uses different colors to represent various carbon reservoirs and arrows to indicate the flow of carbon between these reservoirs. Red arrows indicate flows that are sensitive to human activities, while green arrows represent flows that are sensitive to temperature.
Carbon Reservoirs:
- Atmosphere: Contains 750 GT of carbon. It is connected to other parts of the cycle via various processes.
- Land Biota: Contains 610 GT of carbon, involved in processes like photosynthesis and respiration.
- Soil: Contains 1580 GT of carbon, connected to land biota through litter fall.
- Surface Oceans: Contains 970 GT of carbon, involved in ocean-atmosphere diffusion and upwelling & downwelling.
- Deep Oceans: Contains 38,000 GT of carbon, connected to surface oceans through upwelling & downwelling.
- Ocean Biota: Contains 3 GT of carbon, connected to surface oceans.
- Sedimentary Rocks: Contains 1,000,000 GT of carbon, connected to the deep oceans through sedimentation.
- Fossil Fuels: Contains 5000 GT of carbon, influencing the atmosphere through fossil fuel burning.
- Mantle: Connected to sedimentary rocks through subduction.
Carbon Flows (in GT/year):
- Atmosphere to Land Biota:
- Photosynthesis: 110 GT/year (green arrow, temperature sensitive)
- Burning: 50 GT/year (red arrow, human activity sensitive)
- Land Biota to Atmosphere:
- Respiration: 59.4 GT/year (green arrow, temperature sensitive)
- Burning/Farming: 50 GT/year (red arrow, human activity sensitive)
- Land Biota to Soil: Litter fall: 60 GT/year
- Soil to Atmosphere: Respiration: 60 GT/year (green arrow, temperature sensitive)
- Atmosphere to Surface Oceans: Ocean-atmosphere diffusion: 90 GT/year (green arrow, temperature sensitive)
- Surface Oceans to Atmosphere: Ocean-atmosphere diffusion: 90 GT/year (green arrow, temperature sensitive)
- Surface Oceans to Deep Oceans: Upwelling & downwelling: 105.6 GT/year
- Deep Oceans to Surface Oceans: Upwelling & downwelling: 96.2 GT/year
- Surface Oceans to Ocean Biota: 105 GT/year
- Ocean Biota to Surface Oceans: 105 GT/year
- Deep Oceans to Sedimentary Rocks: Sedimentation: 0.6 GT/year
- Sedimentary Rocks to Mantle: Subduction: 0.6 GT/year
- Fossil Fuels to Atmosphere: Fossil Fuel Burning: 9 GT/year (red arrow, human activity sensitive)
- Volcanic Eruptions: 0.6 GT/year from the mantle to the atmosphere (green arrow, temperature sensitive)
Notes:
- Numbers next to the arrows represent approximate annual flows in gigatons per year (GT/year).
- The diagram highlights the interaction between natural processes and human-induced changes in the carbon cycle, emphasizing the impact of activities like burning fossil fuels and land use changes (farming, burning).
Experiments with the Model
Experiments with the ModelVideo: Energy Emissions Activity (5:32)
Energy Emissions Activity
PRESENTER: Here's the control panel for the model that we will be working with in this exercise, which combines global energy and emissions along with the global carbon cycle model and a global climate model. It's a big, complicated thing but there are just a few controls here you need to know about. They are in kind of different colors here, sectors to kind of control, coal, and oil, and natural gas down in here. This is where we can control the per capita energy history over time, and this is where we can control the population limit that's eventually reached, and this up here, this slider, is the starting time, when some change to reduce the amount of coal oil or gas we use is implemented.
So let me show you how this works. If you just run this the way it comes, without making any changes, you see this. It tells us the total emissions. This is in Gigatons of carbon per year globally, and it shows that going up like this over time, right. Now if I click on the next page, you'll see that in in reality, at this time here, about 2164, we would actually run out of fossil fuels. Here's the fossil fuel reservoir. It's dropping, dropping dropping, gets to zero. At that point, we can't put any more carbon in the air because we don't have any more of these fossil fuels. But this graph here, page 1, shows what we would emit if we could, if we could actually tap into that amount. Anyway, we'll be looking at both of these graphs a little bit.
Let me show you how this works. If we want to say, let's try to reduce the amount of our energy that's supplied by coal. So we switch to that. And this is the coal reduction time. So beginning in the year 2020, and for the next 30 years, we're gonna reduce coal by let's say, let's reduce it by 10%. So currently coal, if you look at this, it's making up 27% of our mix of energy sources. So if we reduce it by 10, then it'll be making up 17. Now the 10 that we reduced coal by is going to add to the renewables down in here, which is currently 0.19. So this is a whole bunch of things, hydro, solar, wind, nuclear, biomass, all lumped together. So if we take from one of these fossil fuel sources, we're going to add it to the renewables here.
So let's implement this change, see what happens. There we go. See we've brought the emissions down quite a bit, and in this case, let's see, we don't run out of fossil fuels for a little bit later here. So let's see if we get it so we don't run out of fossil fuels. Let’s reduce the amount of oil we use by 10 percent. See if that does it, And yeah, we just run out at the very, very end here. Ok, so you see what happens there.
Now, this is connected to a global carbon cycle model. The fossil fuels is part of that. It's also connected to a climate model, so if we were to click through all these different pages in the graph pad, you can see all these little parameters plotted here. Here's the global temperature change, and we see that we have increased the temperature by about six and a half degrees by the year 2020, out in here. So 2100 is in here. 2010 is our starting time here. So if we turn these switches off, then we are not going to restrict our use of fossil fuels for an energy source, and we'll just continue with this mix that's indicated here, the initial fractions. Now, there are a couple of other things that you can change here. You can change the population limit by moving this dial around, more or less people, 12 is sort of the default value. You can also change the per capita energy graph here. So if you look at that, this actually is a little funny, it goes from the year 2010 right here. Let's call it the present. And this line over here, this vertical line is the year 2200. So there are 5 divisions in there for about 190 years. So each one those is 38 years. So this vertical line here is the year 2048 and so on. You just keep adding 38 years to figure out which time each of those vertical lines corresponds to.
You can change this graph. It starts off at 74, and what we're assuming is that it’s going up, at its kind of current pace, but then it levels off up here eventually, by the end of this. But you could take a more optimistic view and say, well, we're going to become more conservative in our use of energy and more efficient, and we'll reduce it to a lower level, and we can follow a trajectory like that. And you hit okay, and then that will be implemented, and you'll see what effect that does. You can undo that change by clicking on this U down here. And let's say you've made a lot of changes, and you've made a lot of graphs, you can reset the graphs, or you can restore all the devices to their kind of default values here. All right, so that's it. Have fun with it.
Important Instructions
- In this exercise, we will work with a model of a system that has many parts — carbon cycle, climate model, population model, and energy model. We'll explore how making changes to one part of this system alter the behavior of other parts of the system. This illustrates an important part of what we call Systems Thinking, which is that in complex, connected systems, a change in one part may have consequences that spread throughout the system.
- After watching the movie above, run the model without making any changes to establish what we will call the “control” case for these experiments. You can return to this control case by hitting the Restore All Devices button.
- Write down the Total Emissions at the year 2100 — this will be our comparison point in time for later experiments.Look at page 2 of the graph pad, which shows human emissions, which is essentially the same as Total Emissions except that it is limited by the total amount of fossil fuel carbon we have; if we burn through all that carbon, human emissions will drop to 0, and in fact, you’ll see that it drops off to zero about the year 2165 — this is when we run out of fossil fuels. So if we haven’t solved our energy problems by then, we’re in deep trouble!
| Data | Practice | Graded |
|---|---|---|
| switch to turn on | coal | oil |
| f reduction | 0.24 | 0.30 |
| f reduction time | 20 | 20 |
The table above gives you a set of instructions related to the practice and graded versions of the summative assessment, including which switch to turn on, the fractional reduction, and the time over which this reduction takes place. As one of the fossil fuel sources is reduced, the model increases the renewable fraction so that the total of all the fractions stays at 1.0.
1. How much does switching from one of the fossil fuel sources to renewables decrease the emissions in the year 2100? First, run the model as is when you open it (all switches are in the off position) and take note of the total emissions for the year 2100 on graph #1 (this is our control case), then make the changes prescribed in the table above and find the new emissions in the year 2100 and then calculate the difference from the control case.
Difference = (±2 Gt)
Practice Answer = 11.3
Video: Module 8 Question 1 (1:39)
Module 8 Question 1
PRESENTER: For the first problem, we are going to see what happens if we completely eliminate our use of oil. And, so to do this problem, first, we just run the control version. So we hit run, and it shows us those results, that's with all the switches in the off position. Now we are going to turn the oil switch on. We are going to turn f oil new to zero. That means oil, after the adjustment, will represent zero of our energy, so that completely eliminates it. And remember, the renewable fraction will rise as a result of that. We have to make sure that the start time is at 2020, the adjust time is at two. We don't change the per capita energy or the population limit, and we run the model again now. And we see a different result here. Now we are going to look at page two.
This shows the total emissions and this is what we are interested in. We want to find the total emissions in 2100 and how they differ. So I slide the cursor along back and forth here until I get to 2100 and that is right there. And I see that in run one, that's our control, it was 29.57 of gigatons of carbon emitted. And then in run two, it is down to 19.78, and so it's a difference of 9.79. And that is the answer that we are looking for, the difference, the reduction, basically the distance between the blue curve and this dotted red one here.
2. Does this change lead to a leveling off of emissions, or do they continue to climb?
- Levels off
- Continues to climb [correct answer for practice version]
3. Which has a bigger impact in reducing emissions — limiting population growth to 10 billion, or reducing your fossil fuel fractions as prescribed? Here, make sure all the switches are turned off, and then set the Pop Limit to 10.
- Population limitation
- Fossil fuel reduction [correct answer for practice version]
Video: Module 8 Question 3 (1:10)
Module 8 Question 3
PRESENTER: For question 3, we are going to see whether or not reducing oil entirely, or reducing the population, has a bigger effect on the total emissions by the year 2100. So we have already done the case where we reduced oil. Completely cut it out. So now we are going to look at the alternative. So we turn that switch off and get the population down to 10, that's the population limit. Then we run the model again and we see in this kind of pink dashed line here, that's the emissions that pertains to this case, where the population limit is 10. You can see that right away the distance between the dashed pink curve here and the blue one is less than the difference between the blue and the dashed red. So, cutting out oil entirely has a bigger effect in reducing emissions than limiting the population growth to 10 billion.
Reset the Pop Limit to 12 when you are done with this one.
4. How much does reducing all of the fossil fuel sources to a fraction of 0.05 decrease the emissions in the year 2100 compared to the control case (set all switches to the off position for the control)? Set the start time to 2020, then turn on all the switches, and set the f reductions so that each fossil fuel source ends up at 0.05 after 30 years. You can check to make sure you’ve done this correctly by looking at the fractions on page 4 of the graph pad.
Set all of the reduction times to 20 years. For the graded version, lower the fossil fuel sources to a fraction of 0.1; leave everything else the same as the practice version.
Difference = (±2 Gt)
Practice Answer = 23.8
Follow these steps:
- Run the control case (don’t make any changes to the model)
- Turn on all the switches
- Set all the reduction times to 20
- Set f coal reduction to 0.22; f oil reduction to 0.28; f gas reduction to 0.16
- Run the model again — you should now see a blue curve from the control run and a pink curve from the modified run (looking at graph #1)
- Run the cursor along the control case curve until you get to the year 2100 and write down the total emissions at that point — it should be 29.57 (the units are Gt C/yr).
- Run the cursor along the modified case curve (pink one) until you get to the year 2100 and write down the total emissions at that point — it should be 5.74.
- The question is asking for the difference in emissions, so subtract 5.74 from 29.57 and you get 23.83 Gt C/yr — this is the reduction in emissions we would achieve if we lowered all of the fossil fuels to just 5% of our total energy consumption.
Video: Module 8 Question 4 (1:33)
Module 8 Question 4
PRESENTER: For question number 4 we're going to look at what happens if we drastically reduce all of the different fossil fuel energy sources. So we're going to turn on, well first we'll do the control run, so we run that and see what the emissions are now. We are going to follow the instructions here and turn on all the coal, oil, and gas switches and were going to reduce them all to a new fraction of .05, that's 5%. So each one of them will make up 5% of our total energy sources. Then we're not going to change per capita energy, population limit at 12, start time for reduction at 2020, and adjust time is two years. So we do that, and run the model, and we see results here greatly reduced emissions. So that in 2100, we've got 5.74 gigatons of carbon removed. And so you just subtract 5.74 from 29.57 to get the answer. Which is going to be 23 point something. So that is the answer for that.
5. Which has the bigger impact in reducing emissions — halting the rise in per capita energy use, or reducing our fossil fuel fractions? For this one, you’ll use your answer to the above question (#4) and compare to one in which you turn off all the switches, and then change the per capita energy graph so that it is more or less a straight line all the way across. You can check to see how well you’ve done this by looking at page 8 of the graph pad after you run the model. So, which has a bigger impact in reducing emissions?
Video: Module 8 Question 5 (1:50)
Module 8 Question 5
PRESENTER: For question number 5 we are going to see how the emissions reductions that we get from reducing the reliance on fossil fuels dramatically compares to reducing the per capita energy demand instead. So, this shows results from question 4. So, this was when we set all the fractions to 5% or 0.05 for coal, oil, and gas. But we kept the per capita energy graph, in its starting form, here. Now, what we are going to do is just to turn off those switches. So, we are not going do anything in terms of reducing fossil fuels, but we are going to become more efficient in terms of our energy use. And so, we want to have basically a straight line across here. So, I am just going to try to approximate. You do not have to be to precise about this but there, that is more or less a straight line all the way across. So per capita energy will not increase, it will stay the same per person as we go thru time. So, you hit okay and then run the model again. We see the resulting emissions curve, and you can see that it is higher than what we got for reducing fossil fuels. This particular reduction, or at least no growth per capita energy demand, didn’t give us as big of a result in terms of emission reductions in the year 2100 as the fossil fuel reduction scenario. So that is the answer to this question.
This table refers to the question below — it provides a set of model settings that lead to stabilization of emissions.
| Data | Practice | Graded |
|---|---|---|
| switches on | coal, oil | all |
| start time | 2020 | 2050 |
| f reduction coal | 0.12 | 0.10 |
| f reduction time coal | 200 | 200 |
| f reduction oil | 0.10 | 0.07 |
| f reduction time oil | 100 | 200 |
| f reduction gas | 0 | 0.05 |
| f reduction time gas | 20 | 200 |
| Pop Limit | 12 | 11 |
| Per capita energy limit | 75 for the whole time | 100@2048, then steady at 100 for the rest of the time |
Refer to the worksheet to see what your per capita energy graphs should look like for the practice and graded versions.
6. One of the main goals people mention in the context of future global warming is halting the growth of our emissions of CO2. As you have seen so far, there are a variety of ways to reduce that growth. Now, let’s see what happens when we stabilize emissions. Modify the original model to create the emissions scenario defined by the parameters supplied in the table above — this should result in an emissions history that more or less stabilizes. Then find the emissions in the year 2100.
Total Emissions in 2100 = ±2.0 Gt C/yr
Practice version — 11.3 Gt C/yr
7. Now that you have an emissions scenario that stabilizes (the human emissions of carbon remain more or less constant over most of the time), let’s look at temperature (page 9 of the graph pad). Remember that global temperature change in this model is the warming relative to the pre-industrial world, which is already about 1°C in 2010, the starting time for our model. What is the global temperature change in the year 2100?
Global temperature change = ±0.5 °C
Practice version — 2.6°C
8. Now study the temperature change (graph#9) and the pCO2 atm (the atmospheric concentration of CO2 in ppm or parts per million — page 10 of the graph pad) for the time period following the stabilization of emissions. Does the stabilization of emissions lead to a stabilization of temperature or atmospheric CO2 concentration?
- Fossil fuel reduction [correct answer for practice version]
- Per capita energy change (i.e., conservation + efficiency)
Video: Module 8 Questions 6 through 8 (4:13)
Module 8 Questions 6 - 8
PRESENTER: Questions 6, 7, and 8 all have to do with a model scenario in which we get the total emissions of carbon to more or less stabilize for a good part of the model run. So, to do this experiment, we will first run the basic model control version, so just hit the run button. Then we follow the instructions in the question to set it up to get a scenario where the emissions more or less stabilize. So, to do that, we turn on all the switches. We are going to set the new fraction to 0.15, that would be15% for each of these, so that is a decent reduction to our reliance on fossil fuels. We are going to make the transition to be a little slower, so we will move the adjust time to ten. And then we're going to change the per capita energy history. Normally when you open this, you just see this graph. If you click on the table here, you see individual entries. And we are going to alter this as follows: 74 there, 72, and this is 70. This is going to be 67, and 64, and 61. This is just another way to alter that graph. So hit OK. And you see that the graph is declining slightly over time. Keep the population limit at 10. Ok. That’s 11, we’ll make it 10. There we go. Now, we’ll run the model, and you see that give us this emissions history that more or less stable. So that is staying the same, and you can see what the emissions are in the year 2100. Gets us down to 6.14 gigatons of carbon in the year 2100. Now, what kind of a temperature change can that cause? That is question number 7. So, we look on page 3of the graph pad here, so the temperature change in the year 2100 is1.91 degrees, as opposed to3.92 for the control version. So that is your answer to number 7.
Then number 8 asks this question. So, we stabilize the emissions, does the temperature stabilize and the CO2 concentration in the atmosphere? Well, you can see right away that the temperature does not stabilize, it continues to rise, it is just not rising as fast as this control case here. So, to look at the pCO2, we go to page 9 of the graph pad here. There you see the CO2 concentration in the atmosphere starts off at about 400, or a little bit less than that in 2010, and by the time you get to 2100, we have a CO2 concentration in the atmosphere, in this altered version of 484, and that is parts per million, as opposed to 851 in the control version. But look even the CO2 concentration, that does not stabilize either, that continues to go up. So, it is not enough to just stabilize carbon emissions, clearly we need to actually get them to reduce if we want to bring the CO2 concentration down to a lower level and kind of keep it sable. And if we do that, CO2 concentration and temperature are very closely linked together in this model, so they’ll generally do more or less the same thing.
Reset the model before going to the next question.
9. Now, let’s say we want to keep the warming to less than 2°C, which the IPCC recently decided was a good target — warming more than that will result in damages that would be difficult to manage (we would survive, but it might not be pretty). We have seen by now that it is simply not enough to stabilize emissions at a level similar to or greater than today’s — that leads to continued warming. So we need to reduce emissions relative to our present level, which will be hard with a growing population and economy (and thus a growing per capita energy demand).
So, let’s see what is necessary to stay under that 2° limit, given some constraints. In all cases, we’ll assume that we can get our oil and gas fractions down to 0.1 (i.e., 10% each) over a time period of 30 years with a start time of 2020. We’ll leave population out of it (keep the limit at 12 billion), and for the practice version, we’ll make the assumption that per capita energy demand remains constant at a level of 75 for the whole time period (modify the graph so that it is a horizontal line at a level of 75 on the y-axis). This leaves f coal reduction as our main variable. The time period for reducing coal will be 30 years. You can change four scenarios for coal reduction as follows:
A: Keep the coal fraction unchanged (switch off)
B: Reduce the coal fraction to 10% (so f coal reduction would be .17)
C: Reduce the coal fraction to 5% (set f coal reduction to .22)
D: Reduce the coal fraction to 0% (set f coal reduction to .27)
For the graded version, we will change the per capita energy demand graph so that it drops to 50 by the year 2086 (see worksheet for a picture of what the graph should look like).
Find the coal fraction that keeps the temperature closest to 2°C by the year 2200.
Coal reduction scenario (A,B,C, or D):
Practice version: D is the correct answer
Video: Module 8 Question 9 (1:53)
Module 8 Question 9
PRESENTER: For question 9, we are going to see what needs to be done in terms of reducing the coal fraction to keep the temperature below a two-degree limit by the year 2200. So initially, I am just going to restore everything to the starting conditions here. Then we will run it once and see what happens, there we have got the very high-temperature change. Now we are going to follow the instructions for setting up the model. We are going to set the start time to 2030. Where going to set the adjust time to 10. We are going to turn on the oil switch and the gas switch. And we are going to keep the per capita energy at 74 the whole way across. So, we do it like this, the same thing we have done before. Hit okay. So, there we have that set. We are going to set the f oil new (new oil fraction) to 0.1 and do the same with gas. So, we reduced those two to 10%, .10. Then we have the population limit set at 12, so that is good. Now we are going to explore 4 different scenarios and in each scenario we are going to do something different with the coal. The first one we are going to keep the coal fraction unchanged, so we have the switch off, and we run it. We see what the temperature is, and by the end we are at 3.59 degrees is the temperature change. So that is not acceptable. So that one does not do it so we will try scenario B. So, we turn the coal switch on, and we then reduce the f coal new to .1 and run it. So lower temperature, we are using less coal, but we are still at 2.66 so that is too high. Now we will change f coal new to .05 and run it again. And we see we are still up here at 2.36. So, we are still above two. Now let’s see what happens if we eliminate coal entirely, move it to zero and run it again. And here we are, and at that point we have still a temperature of 2.05, so that one is very close, but it still does not get us quite below that 2-degree limit. I So, in this case, none of those case scenarios works right and that is one of the choices in the question is that none of these above scenarios keeps the temperature below 2 degrees. The last one comes close, but it still does not quite get there.
We’re done with this model for now, but you will be coming back to something similar to this later on when you do your capstone projects. You’ll use the model to design an emissions and energy consumption scenario for the future for which you’ll also explore the environmental and economic consequences.
The following questions encourage you to step back and think about what you’ve learned here. Short answers will suffice here.
10. What are the three principal variables that determine how much carbon is emitted from our production of energy? (Hint: look at page 11 of this worksheet)
11. What is the relationship between economic development (growth) and per capita energy consumption? (Hint: look at figure 7 of this worksheet)
12. Among the various sources of our energy, which has the highest rate of CO2 emitted per unit of energy? (Hint: look at table on page 10 of this worksheet)
13. What happens to the atmospheric concentration of CO2, and thus the global temperature, if we stabilize (hold constant) the emissions rate? (refer to question #8 above)
14. Can we stay under the 2°C warming limit in the year 2200 by completely eliminating our reliance on fossil fuel energy sources alone (reducing coal, oil, and gas to 0% of our energy supply), or do we also need to reduce our energy consumption per capita? (make appropriate changes and then run the model to figure this out)
- both stabilize
- neither stabilizes — both increase [correct answer for practice]
- neither stabilizes — both decrease
- CO2 goes up; temperature goes down
- CO2 goes down; temperature goes up
Summary and Final Tasks
Summary and Final TasksSummary
Energy conservation – making investments or changing behaviors to reduce energy consumption without lifestyle sacrifices – is a critically important energy option, regardless of whether you support broader use of fossil fuels or you support a transition to a low-carbon energy portfolio. Everyone should agree that more conservation is a good thing, and the potential conservation options are vast both in number and in their possible impacts on the environment and climate. Nonetheless, energy conservation presents a difficult paradox. On the one hand, the majority of energy conservation options have a double dividend, saving money and helping the environment all at the same time. On the other hand, convincing individuals and businesses to spend time and money undertaking conservation investments has proven remarkably difficult. (At the very least, you would think that people like to save money.) People make seemingly irrational decisions for all sorts of reasons, and some centralized coordination can help to overcome the energy efficiency paradox. Three examples from the United States have shown how monetary incentives, community outreach, and deliberate planning have all contributed to some form of effective energy conservation.
Reminder - Complete all of the Module 8 tasks!
You have reached the end of Module 8! Double-check the Module Roadmap to make sure you have completed all of the activities listed there before you begin Module 9.