Bridging the Grid Gap: Data Center Sustainability in Fossil-Fuel Dependent Regions
Calli O'Neal, Roberts Environmental Center at Claremont McKenna College
We invited students from Claremont McKenna College’s Roberts Environmental Center (REC) to provide their perspectives on key issues related to carbon markets. Here is a series of articles they have developed as part of a market research project in which Tradewater participated. These views are theirs and do not necessarily reflect Tradewater’s views — but in the interest of stimulating conversation we think they are valuable to share.
Key Points
AI Boom Drives Energy Demands: Surging AI technologies are straining data centers, with U.S. energy use projected to grow 12% annually
Midwest Faces Renewable Bottlenecks: Key data center regions like Illinois struggle with fossil-fuel dependence and slow renewable grid integration
Immediate Carbon Reductions Matter: Early carbon cuts via local offsets and infrastructure upgrades deliver more climate benefit than delayed, speculative solutions
The world is witnessing an unparalleled surge in AI-driven technologies, revolutionizing industries from healthcare to finance. However, this rapid growth comes with an equally significant challenge: increasing energy demand. Data centers, the backbone of AI and cloud computing, are increasing in size and creating skyrocketing energy demands. Meanwhile, the tech industry, which leads in AI product development and sales, has made some of the most ambitious net-zero commitments of any sector and faces mounting pressure to decrease its carbon footprint.
While striving to stay at the forefront of innovation, tech companies must ask themselves: how can their AI coexist with their sustainability objectives?
The AI Surge and the Energy Dilemma
AI applications require immense computational power, and with U.S. data center energy demand projected to grow by 12% annually until 2030, the strain on the grid is intensifying at an unprecedented rate. According to recent S&P Global estimates, this AI demand could increase power usage by 150–250 TWh, resulting in an additional 40–67 million tons of CO2 emissions annually by 2030, comparable to the current total emissions of the country of Austria.
Renewable Gaps and Regional Realities
The U.S., home to a third of the world’s data centers, is rapidly expanding its data center footprint, with the Midwest emerging as a key hotspot. The region’s central location and infrastructure potential make it attractive, but it faces significant renewable energy bottlenecks. In states like Indiana, Illinois, and Wisconsin, power grids remain heavily reliant on fossil fuels and lack the capacity to quickly integrate large-scale renewable energy.
For instance, Chicago, Illinois, ranks third in data center capacity after Dallas and will require at least 8,500 megawatts (MW) of new capacity between 2030 and 2049 to meet growing energy demand, driven largely by data center expansion. The 25 new data centers proposed in Illinois alone would consume as much energy as the state’s five nuclear plants currently generate.
This raises a critical question: how can we address immediate grid gaps amidst soaring demand? Coal plants are shutting down, and while natural gas is a step forward, new EPA regulations cast doubt on its cost-effectiveness for new proposals. Meanwhile, renewable energy development lags behind expectations, even with incentives from the Inflation Reduction Act.
Faced with these challenges, some companies are turning to expensive nuclear power. Microsoft’s recent move to reopen Pennsylvania’s Three Mile Island nuclear plant, a site infamous for the worst nuclear accident in U.S. history, shows a new willingness to revisit controversial solutions. Companies like Amazon have invested close to a billion dollars in small modular nuclear reactors that offer the promise of stable, localized power, but they remain unproven at scale, with the first units unlikely to come online until 2030.
This leaves us at a sustainability crossroads: accept the realities of today’s grid and find ways to take action now, or delay decarbonization further.
The Time Value of Carbon
Delaying action risks exacerbating the climate crisis. But what often is less taken into consideration, is the “time value of carbon” and other greenhouse gases (GHGs). GHG reductions achieved today through infrastructural improvements or high-quality carbon offsets provide immediate climate benefits that often can outweigh the impact of solutions like expensive carbon capture or nuclear energy development that can only be deployed later. When creating Science Based Targets initiative (SBTi) goals or 2030 pathway strategies we should all keep in mind that earlier GHG reductions are more impactful than equivalent reductions achieved later.
The Unique Value of Place-based Offsets
Regionally focused offsets, especially those matched to local emissions sources, provide unique opportunities to drive equity and credibility in climate action strategies. By investing in local infrastructure improvements: retrofitting buildings for energy efficiency or plugging methane-leaking orphaned oil and gas wells, companies can simultaneously advance climate goals and support the communities they operate in. This localized approach ensures decarbonization efforts address the needs of affected communities, aligning operational expansion with equitable development and producing high-integrity sustainability claims that are both impactful and credible.
PPAs, VPPAs and the Offset Advantage
Power Purchase Agreements (PPAs) and Virtual Power Purchase Agreements (VPPAs) are widely used by tech companies to achieve Scope 2 emissions neutrality. However, these mechanisms often fall short of providing immediate, localized emissions reductions. The reliance on volatile energy markets and long-distance renewable projects, such as wind farms located far from operational centers, can lead to inefficiencies and higher costs for energy that isn’t directly utilized.
While PPAs and VPPAs support the development of renewable energy infrastructure, they do little to address existing grid emissions or localized fossil fuel dependencies. Offsets, when done right, could help bridge this gap. Initiatives like Tradewater’s methane abatement projects enable tech companies to achieve near-term reductions while transitioning to renewable energy. Furthermore, “like-for-like” offsetting, where the GHG reduction from offsets aligns with the type of gas being emitted, enhances credibility. For instance, data centers reliant on natural gas can invest in methane abatement as an effective step toward thoughtful GHG neutrality.
A Balanced Approach to Data Center Sustainability
Achieving sustainability in the data center industry requires a practical and balanced approach. Ambitious net-zero goals must be paired with actionable steps, including investments in energy infrastructure and the integration of high-quality offsets. While carbon removal technologies often dominate the conversation, immediate reduction offsets provide a more accessible and impactful solution for measurable progress without undermining long-term ambitions.
In regions that are targeting data center expansion, offsets that reduce emissions while delivering local benefits are critical. As data center development increases, these projects can help mitigate strain on local grids and reduce vulnerabilities to outages and climate-related disasters.
The AI revolution offers the tech sector a unique opportunity to lead by example. By adopting innovative offset solutions and regional decarbonization strategies, companies can align their growth with a sustainable future, for both their industry and the planet.

Calli O'Neal
Calli is a senior at Pitzer College studying environmental analysis on the policy track with a Spanish minor. She is passionate about equitable global supply chains and helping decarbonize our world. She lives out of her backpack in her free time
and prefers to be on the road.