Hyperscalers seek lower-emission gas and capture-ready power
Hyperscalers building next-generation AI data centers face urgent, large power needs but have public emissions commitments. Because low- and no-carbon options like nuclear and geothermal will take years, many are turning to natural gas now: roughly 100 GW of gas projects have been announced versus about 10 GW of nuclear and more than 3 GW of geothermal. The article outlines a three-part pathway—procure lower-methane gas, deploy efficient combined-cycle generation, and build plants ready for future carbon capture—to materially reduce lifecycle emissions, which a 6.5 MMBtu/MWh plant and 1.5% leak rate imply is about 500 kg CO2e per MWh.
Combined measures can materially lower gas-fired power lifecycle emissions
Context
Hyperscalers are building large AI data centers that need fast, reliable power. Low-carbon sources like nuclear and geothermal are years away, so natural gas can be deployed sooner. They could add carbon capture later to reduce emissions.
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