Room with rows of server hardware in the data center
Industries

Data Centers

The rapid expansion of data centers has underscored the importance of addressing energy consumption and sustainability challenges. As the industry endeavors to meet increasing demand, it must balance cost efficiency, environmental considerations, and reliability. Modern data centers require substantial and consistent energy supplies, necessitating innovative solutions such as holistic load forecasting, expedited resource planning, carbon-free energy integration, and advanced tariff designs. These measures aim to satisfy rising demands while minimizing the impact on existing ratepayers and the environment.

CRA’s energy consultants have extensive expertise in the data center market, energy technologies, and economic assessment. We evaluate the relative benefits of various energy solutions in terms of cost, reliability, and sustainability, ensuring that utility and data center partners can identify mutually beneficial solutions that promote data center growth while addressing potential externalities. By leveraging our insights and strategies, data center operators, utilities, investors, and related stakeholders can make informed decisions to drive growth and sustainability in this dynamic sector.

Our focus areas

Engagements

  • 01
    Assessing data center load forecasting methodologies in Integrated Resource Planning
    CRA collaborated with industry stakeholders to establish best practices in data center load forecasting that base reference forecasts on known mature projects...
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  • 02
    Load prioritization and providing clean energy optionality through data center tariff design
    CRA has collaborated with both utility and data center clients to identify mechanisms to prioritize data center loads in ever tightening markets. Load...
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  • 03
    Addressing data center growth in competitive wholesale energy markets
    CRA has engaged with multiple utilities operating within integrated markets and helped identify possible future load development by assessing growth in data...
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