Data centers can affect nearby communities through the water used to cool equipment, wastewater and treatment needs, emissions from on-site generators, and pollution from power plants that supply electricity. The size and location of those effects depend on a facility’s cooling design, water source, permits, generator use, electricity supply, and local environmental conditions. National electricity-growth projections do not measure pollution or health risk at a particular neighborhood.
How a data center can affect its surrounding community
A data center’s community impacts are not limited to the land inside its fence. Some effects are direct, such as water withdrawals for cooling or emissions when on-site engines run. Others are associated with electricity generation elsewhere: power plants serving the grid can emit pollution that travels to communities many miles away. Those pathways should be examined separately because they have different locations, permits, operating patterns, and evidence.
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Other local considerations include whether municipal water and wastewater systems can serve the facility, where treated or concentrated wastewater goes, and whether nearby residents are downwind of relevant air-emission sources. A facility’s actual effect cannot be inferred from its size or from a national trend alone. It requires site-specific information about operations, infrastructure, permits, and local conditions.
- Direct water effects: water taken from a local source for cooling, and the amount ultimately consumed or discharged.
- Direct air-emission sources: on-site generation or backup equipment when it operates.
- Electricity-related effects: emissions from power plants supplying electricity, potentially at a distance from the data center.
- Infrastructure effects: demands on water treatment, wastewater treatment, and other local systems.
Do data centers use a lot of water?
Some data centers use water directly for cooling, but there is no single water-use rate that applies to every facility. Cooling design, climate, water source, operating conditions, and the way water is treated or discharged all matter. A number reported for one site should not be used as a universal estimate or as a substitute for a proposed facility’s own water accounting.
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When reading a water-use claim, first check what it counts. Withdrawal is water taken from a source; consumption is water not returned to that source in the same form or timeframe. A figure might cover direct cooling at the facility, but not water associated with generating its electricity. It may also describe an annual estimate rather than seasonal peaks. These distinctions affect how a number should be interpreted in a place where water availability changes by season or where communities and other users share a source.
Questions to ask about a facility’s water plan
- What is the proposed source: potable groundwater, surface water, reclaimed water, or another permitted supply?
- How much water will be withdrawn and consumed, and what are the expected peak-season amounts?
- Do the figures cover cooling only, or do they also include water associated with electricity generation?
- What water is recirculated, what becomes wastewater or blowdown, and where does that wastewater go?
- Does the local treatment system have capacity for the volume and composition of the discharge?
- Are there water agreements, permit conditions, or public reports that explain how the facility’s use will be tracked?
The source matters as much as the total. Reclaimed water or a reuse system may reduce reliance on potable supplies, but it depends on treatment infrastructure, distance, operating arrangements, and local permits. Reuse also does not make water management irrelevant: a facility may still produce concentrated residuals or require a suitable wastewater route.
What Quincy, Washington, shows about water reuse
The U.S. Environmental Protection Agency’s Water Reuse Case Study: Quincy, Washington describes a partnership between the City of Quincy and Microsoft to treat and reuse cooling water from a Microsoft data center. The utility became operational on June 30, 2021. EPA reports estimated savings of 138 million gallons of potable groundwater per year (522 million liters per year) through the reuse treatment system.
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The project addressed two related local issues: reducing the data center’s reliance on potable groundwater and managing mineral-rich cooling-system blowdown that challenged the city’s existing wastewater-reclamation system. The reuse utility uses multiple treatment steps, with concentrated brine managed separately. The example illustrates that water reuse is an infrastructure and treatment project, not simply a change in the data center’s cooling equipment.
Quincy is a case study, not a performance guarantee for other locations. EPA notes that geography and local infrastructure affect whether a connection is practical; some facilities may be too far from a reuse utility. Quincy also has its own water sources, treatment facilities, and permitting arrangements. A community considering a project should therefore ask for the proposed site’s own water balance and reuse plan rather than assuming the Quincy savings figure will apply elsewhere.
How data centers can affect air quality
Air impacts can arise both at the data center and beyond it. On-site generation and backup generators are potential sources when they operate. The electricity used by a facility can also be supplied by power plants that emit pollution. These are different sources and should not be conflated: a data center’s location does not by itself identify which power plants serve its load, how those plants operate, or what pollution reaches a particular neighborhood.
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The U.S. EPA explains on its Power Plants and Neighboring Communities page that power-plant pollution can travel long distances and affect communities near as well as far from a plant. This means a local air assessment should consider relevant regional sources in addition to equipment at the facility. It does not mean every community near a data center experiences a measurable increase, nor does it establish a particular health outcome.
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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteElectricity demand is growing, but demand growth is not a local air-quality measurement. Lawrence Berkeley National Laboratory’s 2024 United States Data Center Energy Usage Report, published December 19, 2024, estimates historical U.S. data-center electricity use and presents scenarios through 2028. The U.S. Department of Energy’s December 20, 2024 announcement summarized the report as finding that data-center load growth had tripled over the prior decade and might double or triple by 2028. Those are national electricity-demand findings and projections, not measurements of emissions, exposure, or health risk near a particular facility.
What permits and air-quality models can establish
Permits and modeling provide important ways to evaluate proposed emissions, but they do not automatically answer every question about cumulative pollution or health. EPA’s Clean Air Act resources for data centers describe an approach for Prevention of Significant Deterioration demonstrations that proceeds in stages: begin with source-impact analysis, then conduct cumulative-impact analysis if needed. The approach also addresses representative background concentrations and which nearby sources should be included in modeling.
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For a particular project, the permit record can help clarify what equipment is covered, what operating conditions apply, and which pollutants are evaluated. A model’s result depends on the sources, background data, and assumptions included. A review of one facility’s permitted emissions should not be presented as a complete account of all regional pollution, and a screening map should not be described as a health-risk assessment.
Use community mapping as context, not a verdict
EPA’s power-plant mapping resource can help locate fossil-fuel plants and view emissions and socioeconomic indicators for nearby or downwind communities. EPA explicitly cautions that the tool does not evaluate air quality or quantify population health risk. It is useful for identifying context and potential sources to investigate, but it cannot establish a data center’s effect on a neighborhood or replace local monitoring, permitting records, or formal modeling.
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How to assess a proposed data center in your area
For a named project, the most useful questions are specific to its site and operating plan. Start with documents that describe the facility itself, then examine the water and air systems around it. The following sequence helps keep direct facility effects distinct from broader electricity-related effects.
- Identify the proposed equipment and operation. Find the facility description and permit records. Note on-site generation and backup equipment, which pollutants are addressed, and the operating conditions under which equipment may run.
- Review the water plan. Look for the source, withdrawal and consumption estimates, seasonal peaks, cooling design, recirculation, and the boundaries of the figures. Check whether the estimate includes direct facility use only or also water related to electricity generation.
- Trace wastewater and reuse arrangements. Identify discharge destinations, blowdown treatment, concentrated residuals, any proposed reuse connection, and whether municipal treatment infrastructure can accept the flow.
- Check the air analysis. Read the modeling and permit materials for background concentrations, nearby sources, pollutants modeled, and any cumulative-impact analysis. Ask what is included and what is outside the scope of the analysis.
- Consider regional electricity sources separately. Establish what is known about the electricity supply and relevant power plants, while avoiding an assumption that a national energy projection identifies a particular local source or exposure.
- Look for local evidence and public accountability. Review monitoring data where available, water agreements, permit conditions, public reporting, and community-engagement records. Note who is responsible for required infrastructure and how compliance or water use will be reported.
These records answer different questions. A permit describes allowed or modeled emissions under specified conditions; a map can show nearby sources and community context; monitoring can measure air at particular locations and times. None should be treated as interchangeable. An unspecified facility cannot be assigned a defensible water-use figure, neighborhood exposure estimate, or health outcome from national data alone.
What communities should compare between proposals
When comparing actual proposals, assess the same categories for each site and check whether the figures use the same boundaries and assumptions. A water-use total that excludes electricity supply cannot be compared directly with one that includes it. Likewise, an air analysis that includes different background sources may not be an apples-to-apples comparison.
| Comparison area | What to examine |
|---|---|
| Water source and local context | Whether supply is potable groundwater, surface water, reclaimed water, or another permitted source; local scarcity and competing uses. |
| Cooling and accounting | Cooling design, withdrawals, consumption, seasonal peak use, and whether figures cover direct facility water or other parts of the electricity supply chain. |
| Reuse and wastewater | Recirculation, blowdown treatment, discharge destination, treatment residuals, and municipal wastewater capacity. |
| Air emissions | On-site generator type and operation, applicable permits, pollutants modeled, and power-sector emissions associated with electricity supply. |
| Cumulative community context | Representative background air data, nearby sources, downwind populations, and the limits of maps compared with monitoring or formal modeling. |
| Governance and transparency | Permit records, water agreements, public reporting, community engagement, and responsibility for needed infrastructure. |
What the available evidence does—and does not—say
The cited U.S. sources establish that data-center electricity use has grown and is projected to grow under national scenarios, that cooling-water impacts depend on location and system design, and that power-plant emissions can affect communities downwind. They also provide a concrete example of a reuse utility reducing estimated potable-groundwater use in Quincy. They do not establish a general statistic for data-center-related health outcomes, quantify neighborhood air exposure around an unspecified site, or show that every facility has the same water or air impacts.
For a local decision, the strongest account is built from the facility’s permits and operating conditions, its water agreements and accounting, relevant treatment infrastructure, local monitoring where available, and a clear description of what any model or map does not cover. National electricity projections can explain why the issue is receiving attention; they cannot stand in for those site-specific facts.
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