Pathways to national-scale adoption of enhanced geothermal power through experience-driven cost reductions

Enhanced geothermal systems (EGS) are one of a small number of energy technologies with the potential to deliver firm carbon-free electricity at large scale, but are often excluded from macro-scale decarbonization studies due to uncertainty regarding the nascent technology's cost and resource potential. Here we combine empirically-grounded near-term EGS cost estimates with an experience curves framework, by which costs fall as a function of cumulative deployment, to model EGS deployment pathways and impacts on the United States electricity sector from the present day through 2050. We find that by initially exploiting limited high-quality geothermal resources in the western US, EGS can achieve early commercialization and experience-based cost reductions that enable it to supply up to a fifth of total US electricity generation by 2050 and substantially reduce the cost of decarbonization nationwide. Higher-than-expected initial EGS costs could inhibit early growth and constrain the technology’s long-run potential, though supportive policies can counteract these effects.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-04
DOI
https://doi.org/10.5281/zenodo.13659714
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

Pathways to national-scale adoption of enhanced geothermal power through experience-driven cost reductions

Zenodo (CERN European Organization for Nuclear Research)
Integrated Energy Systems Optimization
article

Pathways to national-scale adoption of enhanced geothermal power through experience-driven cost reductions

article en

Abstract

Enhanced geothermal systems (EGS) are one of a small number of energy technologies with the potential to deliver firm carbon-free electricity at large scale, but are often excluded from macro-scale decarbonization studies due to uncertainty regarding the nascent technology's cost and resource potential. Here we combine empirically-grounded near-term EGS cost estimates with an experience curves framework, by which costs fall as a function of cumulative deployment, to model EGS deployment pathways and impacts on the United States electricity sector from the present day through 2050. We find that by initially exploiting limited high-quality geothermal resources in the western US, EGS can achieve early commercialization and experience-based cost reductions that enable it to supply up to a fifth of total US electricity generation by 2050 and substantially reduce the cost of decarbonization nationwide. Higher-than-expected initial EGS costs could inhibit early growth and constrain the technology’s long-run potential, though supportive policies can counteract these effects.

Zenodo (CERN European Organization for Nuclear Research)
Princeton University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
Integrated Energy Systems Optimization
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