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AI, Grid Stress, and the Rising Cost of Cooling

Discover how AI-driven data centers are reshaping electricity demand, prices, and why smarter HVAC and efficiency are critical for sustainable growth.

Ava Montini

Feb 24, 2026

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How artificial intelligence is reshaping electricity markets and redefining efficiency inside data centers and real estate portfolios


Across North America, electricity load forecasts are being revised upward as hyperscale campuses, colocation expansions, and AI clusters come online. Grid operators are responding to a new reality: computing growth is accelerating faster than generation and transmission capacity.



Global data center electricity consumption could reach 1,000 terawatt-hours annually by 2030, roughly equivalent to the annual consumption of Japan. In the United States, PJM Interconnection has reported a sharp increase in capacity auction prices as new large-load customers, including AI-driven data centers, enter the interconnection queue.


Goldman Sachs forecasts a 175% surge in global data center power demand by 2030, a significant upward revision driven by the rapid adoption of AI infrastructure and intensive GPU requirements. This surge is expected to raise data centers’ share of U.S. electricity consumption to approximately 8% and contribute to a 10–15% increase in European power demand over the next decade.


AI Workloads Are Structurally Different



Previous digital expansion cycles, including early cloud adoption, drove steady and predictable growth. AI changes the profile of demand.


Training large language models requires sustained, high-density compute over extended periods. Inference activity multiplies that demand across millions of daily interactions. Rack densities are climbing. Thermal loads are intensifying. Mechanical systems are operating closer to their performance limits for longer durations.


Higher density translates directly into greater airflow sensitivity and tighter thermal tolerances. Small inefficiencies that were once negligible now compound materially across 8,760 operating hours per year.


Cooling Is a Major Line Item, Not a Support Function


In many modern facilities, mechanical systems account for 30 to 40 percent of total site energy consumption. That includes chillers, pumps, CRAH and CRAC units, and most consistently, fans.


Fan energy is particularly sensitive to system resistance. Based on affinity laws, fan power scales approximately with the cube of airflow. As static pressure increases, required fan energy rises disproportionately. Even modest increases in resistance can translate into meaningful increases in kilowatt draw.

Filtration is one of the most persistent contributors to system resistance. As filters load or when they have a high baseline pressure drop, fans compensate continuously. This is not a temporary event. It is a compounding operational penalty.


For a 20-megawatt data center, cooling and mechanical systems often account for 30 to 40 percent of total facility energy use. That equates to roughly 6 to 8 megawatts dedicated to cooling infrastructure.


Even modest efficiency improvements at this scale are financially meaningful. A 5 percent reduction in cooling-related fan energy would reduce load by approximately 300 to 400 kilowatts. At an electricity price of $0.10 per kilowatt-hour, that translates to roughly $260,000 to $350,000 in annual energy cost savings, before considering demand charges or capacity pricing exposure.

In regions with constrained supply or rising capacity costs, the economic value of that reduction increases further.


Grid Stress Is Changing the Economics of Efficiency


Electricity markets are tightening in regions experiencing concentrated data center growth. Capacity auctions in PJM have reflected the strain of new large-load interconnection requests. Transmission upgrades require time. Generation additions face permitting and capital constraints.


As reserve margins narrow, price volatility increases. Capacity charges, peak demand pricing, and long-term power purchase agreements are becoming more complex and more expensive.


For data center operators, efficiency becomes a hedge against volatility. Each kilowatt not consumed reduces exposure to price swings and capacity premiums. For REITs with diversified portfolios, it strengthens net operating income resilience across properties facing similar market pressures.

Scope 2 emissions reporting adds another layer of accountability. Institutional investors increasingly evaluate carbon intensity alongside operating performance. Mechanical efficiency directly influences both.

Energy savings are no longer incremental improvements. They are risk mitigation tools.


Designing for AI Without Expanding Energy Budgets


The strategic response does not require speculative technology. It requires disciplined optimization of existing systems.


Three priorities stand out:


1. Reduce persistent static pressure

Airflow resistance accumulates silently over time. Low-pressure, high-efficiency filtration technologies reduce baseline resistance while maintaining particulate capture performance. This lowers continuous fan energy and protects downstream equipment.


2. Optimize thermal management architecture

Variable-speed fans, containment strategies, and calibrated ventilation align airflow with actual load rather than worst-case assumptions. This stabilizes thermal performance under higher rack densities.


3. Institutionalize monitoring-based commissioning

Continuous diagnostics prevent efficiency drift. Small degradations in airflow or heat exchange are corrected before they become embedded in long-term energy profiles.



The Competitive Advantage of Thermodynamic Discipline


Artificial intelligence will continue to expand electricity demand. That trajectory is supported by credible projections from global energy authorities and financial institutions. The constraint is not computing ambition. It is infrastructure capacity.

Facilities that treat thermodynamic efficiency as core infrastructure rather than as an ancillary optimization will outperform in this environment. Lower static pressure, calibrated airflow, and disciplined mechanical management translate directly into reduced exposure to grid stress and electricity price escalation.

The economics are clear. As AI reshapes the demand curve, cooling efficiency becomes one of the most controllable variables in an increasingly uncontrollable market.


Data centers are powering intelligence.

Efficiency will determine who powers it profitably.

Five Early Steps to Prepare for Your Carbon Report

  • Writer: Ava Montini
    Ava Montini
  • Jan 21, 2025
  • 4 min read

Preparing a carbon report is a powerful opportunity to align your organization with forward-thinking strategies, meet stakeholder expectations, and uncover new ways to enhance operational efficiency. As sustainability continues to shape the business landscape, reporting on carbon emissions has evolved beyond compliance to become a cornerstone of long-term value creation.


The reality is clear: over 66% of the world's largest companies now disclose climate-related data through frameworks like CDP, reflecting the growing demand for transparency. In the U.S., buildings alone account for approximately 31% of total greenhouse gas emissions, making industries like real estate and property management key players in addressing climate challenges.


While the process can seem complex, it is entirely manageable with the right approach. From understanding reporting frameworks to streamlining data collection, this journey is about building a clear, actionable plan that sets your organization up for success. By focusing on key priorities and leveraging proven strategies, you can take confident steps toward creating a carbon report that reflects your commitment to innovation and leadership.


Here's how to begin:

1. Understand the Frameworks and Requirements

Carbon reporting begins with understanding the frameworks and regulations that apply to your organization. These frameworks are essentially the rulebooks that guide how you measure, calculate, and present emissions data. Choosing the right one depends on your industry, geographic location, and specific requirements from stakeholders, investors, or regulators.


For example, the Greenhouse Gas Protocol (GHGP) is a foundational standard that categorizes emissions into three scopes: Scope 1 (direct emissions), Scope 2 (indirect emissions from purchased energy), and Scope 3 (all other indirect emissions across your value chain). Meanwhile, platforms like CDP and frameworks like TCFD focus on how companies disclose emissions to investors and other audiences.


The first step is identifying which frameworks are required or preferred for your organization. U.S.-based companies should pay particular attention to the SEC’s proposed rules for climate disclosures, which could require public companies to report more detailed emissions data. Additionally, consulting with sustainability professionals or using resources like the Greenhouse Gas Protocol’s Corporate Standard can provide clarity and structure.



Scopes 1, 2 and 3 Emissions Inventorying and Guidance | US EPA
Scopes 1, 2 and 3 Emissions Inventorying and Guidance | US EPA

2. Build a Comprehensive Emissions Inventory

Your emissions inventory is the foundation of your carbon report. It involves identifying and quantifying all emissions across your organization. This inventory will include direct emissions from owned assets, indirect emissions from energy use, and, if applicable, emissions from your value chain.


To start, define your organizational boundaries. Will you report emissions based on operational control (activities you oversee directly) or equity share (based on your ownership percentage)? Next, gather data from utility bills, fuel logs, procurement records, and any other relevant sources. If collecting this data feels overwhelming, prioritize high-impact emissions sources first, such as energy use or transportation, and expand from there.


Digital tools can simplify this process. Platforms like EPA’s Simplified GHG Emissions Calculator or specialized carbon accounting software can help centralize and automate data collection. Partnering with teams across your organization—such as facilities management and procurement—can also ensure data is accurate and complete.


Other Resources to Leverage:



3. Focus on High-Impact Emissions Sources

Not all emissions are equally significant, and prioritizing high-impact areas can make your efforts more effective. By focusing on emissions sources that account for the largest share of your footprint or are most relevant to stakeholders, you can direct resources where they’ll have the greatest impact.


To prioritize effectively, consider conducting a materiality assessment. This process involves evaluating which emissions sources are most relevant to your business and stakeholders. Engaging with investors, clients, and regulators can provide additional insights into what matters most. Benchmarking your data against industry peers can also help you identify areas where your organization may be lagging or leading.


Visualizing emissions through heatmaps or similar tools can further clarify where to focus your efforts. These insights can guide decisions on upgrades, retrofits, or supply chain adjustments, ensuring your carbon reporting efforts translate into meaningful action.


Resources to Leverage:



4. Set Clear Reduction Targets and Timelines

Once you have a clear picture of your emissions, the next step is setting reduction targets that align with your organizational goals. These targets provide direction and accountability, signalling to stakeholders that you’re serious about sustainability.


Begin by establishing a baseline year—a starting point against which future progress will be measured. From there, set short- and long-term goals. For example, you might aim to reduce Scope 2 emissions by 25% over five years through renewable energy procurement or energy efficiency upgrades. Aligning your targets with global initiatives like the Science-Based Targets Initiative (SBTi) can further demonstrate your commitment to climate goals.


Regularly communicating progress toward these goals can help build trust with investors, tenants, and other stakeholders. Transparency about challenges and adjustments also demonstrates your commitment to continuous improvement.


Resources to Leverage:



5. Invest in Infrastructure and Expertise

Successful carbon reporting requires robust infrastructure and a knowledgeable team. Whether it’s tools for data collection or employee training, these investments can streamline the process and ensure accuracy.


Many companies start by adopting carbon accounting software, which automates data management and reporting. Platforms like Sphera, Envizi, or Ecovadis offer features that track emissions across scopes, analyze trends, and generate reports tailored to specific frameworks. For organizations with complex operations, these tools can save significant time and effort.


Equipping your team with the right expertise is equally important. Training employees on reporting frameworks, data collection methodologies, and compliance requirements can reduce reliance on external consultants over time. Partnering with third-party verification bodies can also enhance the credibility of your reports, especially if they’ll be shared with investors or regulators.


Resources to Leverage:


Preparing for your carbon report is about more than compliance—it’s a strategic opportunity to lead on sustainability, improve operations, and strengthen stakeholder relationships. While the process may seem complex, following these five steps will provide a clear roadmap to get started.


As you embark on this journey, remember that every organization’s path will look a little different. What matters most is taking the first step and building momentum. By investing in education, planning, and collaboration, you can turn the challenge of carbon reporting into an opportunity to create lasting value for your business and the environment.

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