Reading the Report Before Judging the Recommendation
The central report for Lesson 6 evaluates possible energy-supply strategies for the QTS Richmond 1 data center campus in Virginia. Before evaluating any technology or recommendation, students should examine how the report defines the problem that the energy strategy is intended to solve.
The authors must select a facility, establish an expected load, define reliability, choose a time horizon, determine which technologies belong in the comparison, identify a baseline, and decide which costs, emissions, risks, and stakeholder concerns will receive attention. Those choices construct the decision space.
Central Question: What must be assumed before the report can define the scale and character of the data-center energy problem?
The Report as a Constructed Analysis
The report selects the QTS Richmond 1 campus as its case and describes an estimated maximum electrical capacity of approximately 238 MW. Detailed operating data from the facility were not publicly available, so the authors developed a representative demand model based on published characteristics of hyperscale AI data centers.
The base case assumes a 95 percent load factor. Multiplying 238 MW by 8,760 hours per year and by the assumed load factor produces estimated annual electricity demand of approximately 1.98 TWh. The report also constructs an hourly demand profile with a relatively flat load and a modest afternoon increase associated with cooling. The calculation is transparent, but transparency does not convert an assumption into a measurement.
238 MW × 8,760 hours × 0.95 = approximately 1.98 TWh per year
The estimate becomes the basis for every later comparison. A different load factor changes required generation, the percentage of demand met by solar, grid purchases, fuel use, emissions, storage requirements, and twenty-year costs.
Four Kinds of Claims
Close reading begins by separating direct evidence from calculations, modeling choices, and future scenarios.
Type and Meaning | Case Example | Question to Ask |
|---|---|---|
| Measured: directly observed or recorded | Historical PJM prices or emissions data | How complete and representative are the records? |
| Estimated: calculated from available evidence | Annual electricity consumption of the selected campus | Which inputs and calculations produce the estimate? |
| Assumed: selected for modeling | The 95 percent load factor | Why was the value chosen, and what alternatives are plausible? |
| Projected: extended into the future | Future electricity, fuel, and demand trends | How sensitive are the conclusions to the forecast? |
A projected twenty-year cost may combine measured historical prices, estimated current costs, assumed escalation rates, and projected future demand.
Capacity, Load, and Energy
Power and capacity are measured in watts, kilowatts, or megawatts. Energy is power used or produced over time and is measured in kilowatt-hours, megawatt-hours, or terawatt-hours.
Term | Meaning | Why It Matters |
|---|---|---|
| Capacity | Maximum rated power that equipment or a facility can use or produce | Maximum capacity does not establish actual annual use. |
| Load | Electric power demanded at a particular time | Load can vary by hour, season, workload, and cooling demand. |
| Load factor | Average load divided by maximum load over a period | The selected percentage converts capacity into estimated use. |
| Annual energy | Electricity consumed or generated across a year | Annual matching does not establish simultaneous hourly supply. |
The report treats the selected data center as a near-baseload consumer with high and relatively stable demand. That representation favors resources that can provide continuous or dispatchable power. Students should ask whether workload management, staged buildout, or demand flexibility could alter the comparison.
Scope, Boundaries, and Exclusions
The report evaluates electricity-supply strategies over twenty years and uses continued purchases from Dominion Energy Virginia and the PJM grid as the main baseline. The analysis excludes the cost of constructing and operating the data center and excludes energy-efficiency and water-efficiency measures.
Conventional nuclear power, small modular reactors, enhanced geothermal systems, and offshore wind are also excluded because the authors judge them to have low feasibility, long development times, high costs, or insufficient maturity. Each exclusion may be defensible within a limited study. Each exclusion also narrows the possible conclusions.
Questions Raised by the Study Boundary
- Should reducing, shifting, or staging electricity demand be compared with adding generation?
- Does a twenty-year period compare technologies with different construction times and operating lives fairly?
- Which costs are assigned to the owner, utility, ratepayers, or public?
- Which environmental effects are quantified, and which remain qualitative?
Stakeholder Visibility
The report identifies owners, tenants, utilities, developers, investors, regulators, residents, suppliers, researchers, advocacy groups, policymakers, and the general public. Presence in a stakeholder table does not guarantee equal analytical treatment. The owner receives detailed cost and reliability analysis, while community concerns often enter as land-use, permitting, opposition, or project risk.
Consider whether the analysis gives sufficient visibility to:
- residential and low-income electricity customers;
- communities near generation, pipeline, substation, and transmission infrastructure;
- water users and communities facing competing water demands;
- workers in fuel, mineral, equipment, and construction supply chains;
- future ratepayers and residents who may inherit costs or emissions.
How to Read the Assigned Sections
Annotate the report rather than summarizing it. For each important claim:
- Identify the claim.
- Classify it as measured, estimated, assumed, projected, or a combination.
- Locate the source, calculation, or stated rationale.
- Identify the stakeholders affected by accepting the claim.
- Consider a reasonable alternative and explain how it could change the analysis.
Questions for Close Reading
- Which claims about the selected campus are based on measured operating data?
- Which assumption most strongly determines the size of the energy problem?
- What is treated as fixed that could be treated as variable?
- How does the modeled load profile affect the apparent value of solar, gas, grid power, and storage?
- Which options are excluded before the comparison begins?
- Which stakeholders receive quantitative attention, and which appear mainly as sources of risk or opposition?
- What additional data would be needed before the demand model could support an actual infrastructure decision?
Week 1 Work: Assumption and Scope Audit
Complete the Assumption and Scope Audit in Canvas. Identify three consequential assumptions, two important exclusions, one term that requires clearer definition, one stakeholder who is absent or weakly represented, and one reasonable alternative assumption that could change the results. Support each point with a specific reference to the assigned report pages.
Required Reading for Part 1
- Executive Summary, pp. 2–4.
- Overview of the Problem and Study Scope, pp. 7–9.
- Stakeholders for Data Center and Energy Projects, pp. 9–11.
- Data Center Load Profile, pp. 17–21.
- Final Comparison Table, p. 80, read as a preview of the report’s conclusions.
Companion reading: International Energy Agency, Key Questions on Energy and AI, Executive Summary
Main Point
The report’s energy problem is produced through choices about facility size, expected utilization, hourly demand, reliability, study period, available technologies, and stakeholder relevance. Close ethical analysis begins by making those choices visible. Students should understand how the problem was constructed before judging which solution appears best.