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Home - Technology - Cash flow analysis shows that adiabatic compressed air storage is feasible for applications from 10 to 100 hours – SPE
Technology

Cash flow analysis shows that adiabatic compressed air storage is feasible for applications from 10 to 100 hours – SPE

solarenergyBy solarenergyNovember 19, 2025No Comments2 Mins Read
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Scientists in the UK have compiled a new database of compressed air adiabatic energy storage projects. Using this data, they were able to determine the experience rate and identify the conditions under which the technology would be economically viable. According to their findings, costs have fallen by 15% since 2013.

November 19, 2025
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A group of researchers led by Britain’s King’s College London has compiled a comprehensive database of adiabatic energy storage projects (A-CAES), collecting information on both operational systems and planned installations around the world. By analyzing this data set, they were able to calculate the technology’s experience rate (ER), a measure of how costs decrease as cumulative production or deployment increases, and identify the specific conditions under which A-CAES would be economically viable.

“Long duration energy storage (LDES) is vital for the stability of the electricity grid, allowing the storage of renewable energy for periods ranging from days to years,” the researchers explain. “LDES technologies include compressed air energy storage (CAES), in which compressed air is generated using compressors, stored in containers or underground caverns, and released to drive turbines that generate electricity. Recently, A-CAES systems have been proposed to eliminate the need for natural gas by storing compression heat and reusing it during air expansion, ensuring energy capacity and improving energy efficiency.”

The academics noted that before their work, comprehensive data on A-CAES – including capital costs, product prices and cumulative installed capacities – was largely unavailable. To fill this gap, they have compiled a robust database using a wide range of sources, including peer-reviewed literature, industry reports, energy storage databases, news articles and interviews with manufacturers and project developers.

See also  AI-powered solar forecasts help UK grid operator reduce balancing costs – SPE

To read further, go to ESS news

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