Environmental Impacts of Data Centers

An introduction to data centers and why they have environmental issues.

Data centers are facilities that house the servers and infrastructure powering the digital world. They are critical for everything from streaming to banking, but their rapid growth brings major environmental consequences.

Artificial Intelligence depends on massive computational power, which is delivered through data centers. As AI models grow larger, so does the demand for data center capacity, energy, and cooling.

Most U.S. data centers are clustered in key hubs like Northern Virginia, Dallas, and Phoenix. Mapping these hotspots helps us see the geographic scale of the industry and where communities are most affected. Be sure to take a look at the map and see how data centers are visualized like veins on a human body with the NREL map!

What are the types of data centers that are out there?

1. Enterprise data centers

2. Colocation data centers

3. Cloud data centers

4. Edge data centers

The data center industry is expanding rapidly, with new facilities planned in both traditional hubs and emerging regions. Growth forecasts show increasing pressure on local grids, land, and resources with bottlenecks.

As data centers multiply, they compete for energy, water, and land while impacting nearby communities. These bottlenecks highlight the tension between digital growth and sustainability.

A data center uses energy for servers, cooling, and backup systems. By breaking down these loads, we can understand which systems drive the sector’s high energy intensity. We also take a look at the building plans for a data center which is interesting to see it broken down component by component.

Emissions from data centers can be classified with Scope 1 (direct emissions), Scope 2 (indirect emissions), and Scope 3 (supply chain dynamics) categories. Let's explore the diagram and break it down.

Data centers are not just technical assets, they are geopolitical ones. Countries and geopolitical blocks like the U.S., EU, and China treat them as strategic infrastructure pieces in the race for digital dominance.

Data centers face growing risks from extreme heat, flooding, and stressed power grids. Climate resilience is now as important as energy efficiency in planning their future seeing as how this infrastructure is going to be built out anyway.

A framework for reference with the environmental impacts of data centers.

Welcome to Module 2! We are going to explore energy consumption and data centers, so let's jump in! 

In this lecture, we are going to explore historical energy consumption trends of data centers with the International Energy Agency (IEA) Report from 2025.

In this lecture, we are going to explore the forecasted energy consumption trends of data centers with the same IEA Report from 2025. You will notice a strong correlation between energy demand and data centers moving into 2030.

In this lecture, we are going to learn the Information and Communication Technology (ICT) sector and how it includes data centers and even bitcoin mining operations?!

In this lecture, we are going to explain the difference between an AI and a non-AI workload for data centers and how we can calculate the amount of electricity demand for these workloads.

In this lecture, we are going to look at the importance of securing electricity supplies that are cost-effective and reliable for data centers. We cover a little bit of AI policy, but it's more of a taste for the real thing later on with additional lectures.

In this lecture, we are going to look at energy efficiency measures for data centers from a hardware, software, and cross-cutting approach between the first two areas. There is a lot of energy efficient measures being developed by the data center industry.

In this lecture, we are going to explore the concept of load shifting and why that relates to data centers. Here is a hint: it relates to interconnection queues and data center hyperscalers.

In this lecture, we dive into the U.S. AI Action Plan and how that relates to powering data centers. A lot of the data center infrastructure is going to be powered by available energy sources and non-decommissioned ones such as natural gas all the way to nuclear energy.

In this lecture, we talk about the emergence of geothermal energy with powering data center infrastructure.

In this final lecture, we talk about the nuclear sector and why it is being looked at as the mainstream solution for the data center energy crisis.

Welcome module for the hidden water costs of data centers and AI! 

Learn about the hidden water costs about data centers and how they are hiding it in plain sight.

Even if data centers and AI consume water, why does it matter? Let's learn why! 

Learn the difference between water withdrawal and water consumption when it comes to data centers.

How do data centers use water in terms of Scope 1, 2, and 3?

Learn about how water usage in data centers occurs in terms of Scope 1.

Learn about how water usage in data centers occurs in terms of Scope 2.

Learn about how water usage in data centers occurs in terms of Scope 3.

Let's talk about sustainability reports, Big Tech companies, and the water claims that come along with it for data centers.

If you need to ask this question at the end of the module, then... we should re-evaluate how we learn about the environmental impacts of data centers.

Check out Dr. Allgood's Water Consumption Data Center Calculator.

A quick introduction to Module 4 with the carbon footprint of data centers.

Defines the carbon footprint of a data center and breaks down its main emissions sources.

Explains why data center emissions are significant and highlights challenges in reducing them.

Introduces the Scope 1, 2, and 3 emissions framework as applied to data centers.

Describes direct on-site emissions from fuel combustion, chemical leaks, and operational processes (Scope 1 emissions).

Covers indirect emissions from purchased electricity used to power and cool the data center with Scope 2 emissions.

Details supply-chain, employee travel, and leased-asset emissions that dominate the carbon footprint for Scope 3 emissions.

Differentiates emissions from daily operations versus manufacturing, transport, and end-of-life of equipment (embodied carbon versus operational carbon for data centers).

Carbon Dioxide Equivalent (CO2e): A measure that converts the various greenhouse gasses emitted (such as CO2 , CH4 ,N O, etc.) into the equivalent amount of CO 2 , simplifying comparisons of their global warming potential. It provides a standard unit to express the overall impact of different gasses on climate change.

Power Usage Effectiveness (PUE): A metric that quantifies the power efficiency of a data center by dividing the total power consumption of the facility by the energy consumed solely by IT equipment. Lower PUE values indicate better energy efficiency. Carbon intensity The amount of carbon emissions produced per unit of energy generated or consumed. It helps assess the environmental impact of energy sources and is often used to compare the sustainability of different energy options.

Carbon Intensity: The amount of carbon emissions produced per unit of energy generated or consumed. It helps assess the environmental impact of energy sources and is often used to compare the sustainability of different energy options.

Carbon Footprint: The total amount of greenhouse gas emissions (expressed in CO2e) directly or indirectly produced by an individual, organization, product, or activity. It is a comprehensive measure of an entity’s impact on climate change.

Carbon Usage Effectiveness (CUE): A metric similar to PUE but focused on carbon emission effectiveness. CUE measures the carbon emissions (CO 2 e) produced per unit of IT work performed in a data center,including both IT equipment and supporting infrastructure.

Water Usage Effectiveness (WUE): Similar to PUE, WUE is a metric used to quantify how efficiently a data center uses water. It compares the amount of water used for cooling IT equipment with the amount of energy used to power IT equipment.

Energy Reuse Effectiveness (ERE): ERE is a metric that evaluates the efficiency of energy reuse within a data center. It calculates the ratio of total energy used to the energy recycled or repurposed within the facility. Higher ERE values indicate better energy reuse practices.

Carbon Offsetting: Offsetting is the practice of compensating for carbon emissions by investing in activities or projects that reduce or remove an equivalent amount of greenhouse gasses from the atmosphere, such as tree planting or renewable energy projects.

Energy Efficiency Eatio (EER): Similar to PUE, EER measures the energy efficiency of cooling systems in buildings or facilities. It calculates the cooling output (in BTUs) divided by the energy input (in watts)of the cooling system. Lower EER values indicate better cooling efficiency.

Summarizes how FootPrinter simulates operational carbon emissions for data center design and analysis.

Shows how construction-related emissions are rising and how materials like steel and concrete drive impacts.

Basic introduction to supply chain impacts and e-waste concerns for data centers.

Let's cover the four phases of environmental impact for data centers.

Let's talk about essential parts of data centers and corresponding rare earth minerals that are used.

How do tariffs and geopolitical tensions go together with rare earth minerals?

Can you ethically source rare earth minerals?

What are some construction and global supply chain bottlenecks for data centers?

What the heck is vertical integration for the data center industry?

How often do data centers "refresh" their AI chips or server racks?

Is e-waste a legit problem with data centers and how do we solve this?

What is circular economy and recovery solutions for the e-waste problem for data centers?

An introduction to land use concerns and their corresponding ecological impacts.

Data centers require a large amount of land space to house servers and infrastructure, translating to many acres of land per facility. Why does that matter?

Both office building construction and data center construction markets are colliding together! Who wins in the end?

• What is the weighted average cost of data center land and how did that change from 2023-2024?

• How are data center land transactions growing in size?

• What is driving all this data center construction growth?

Data center land transactions have been increasing as developers turn to emerging and tertiary markets with available land and power, while most established markets face shortages of both.

What are the ecological impacts of data center development once you clear land?

What is in store for the Department of Energy (DOE) when building out data center infrastructure in the U.S.?

Check out FracTracker’s National Data Centers Tracker!

An introduction to environmental justice case studies and community activism methods against unchecked data center expansion.

Covers the environmental justice controversy involving xAI’s unpermitted gas turbines and community-led legal challenges.

Explains the energy, transparency, and community-impact issues driving statewide reform efforts in Virginia.

Describes water, energy, and ratepayer risks from Michigan’s growing AI-driven data center buildout.

Breaks down the renewable-energy claims, water conflicts, and community skepticism surrounding Project Blue.

Highlights how subsidies, pollution risks, and surveillance concerns shape Louisiana’s rapid data center growth.

Summarizes strategies communities use nationwide to resist harmful data center proposals and corporate influence.

Shows how a temporary moratorium was used to pause data center projects while assessing community impacts.

Illustrates how local governments are creating zoning rules to restrict data centers to appropriate industrial zones.

Highlights a community victory where industry-aligned members were removed from a zoning committee to restore public trust.

Describes new rules requiring public disclosure and city approval for large water-use requests after Project Blue’s ousting in Tuscon, Arizona.

Covers pending legislation to ban NDAs in public-subsidy contracts, increasing transparency for data center deals.