Beyond Prime Farmland: Solar Siting Tradeoffs for Cost-Effective Decarbonization
Papa Yaw Owusu-Obeng, Mai Shi, Max Vanatta, Michael T. Craig

TL;DR
This study quantifies the trade-offs between land types for solar PV siting in the Eastern U.S., highlighting cost differences and potential land use conflicts to inform policy for decarbonization.
Contribution
It provides a comprehensive database of solar supply curves by land type and analyzes cost-capacity trade-offs for different siting scenarios in the Eastern U.S.
Findings
Greenfield sites, especially prime agricultural lands, are the cheapest for capacity.
Contaminated lands have limited potential and higher costs.
Rooftop PV can meet capacity needs but at higher costs.
Abstract
The feasibility and cost-effectiveness of continued growth in solar photovoltaics are closely tied to siting decisions. But trade-offs between costs and technical potential between land categories, especially brownfields and rooftop sites, have not been quantified, despite increasing resistance to and policy interest in reducing use of greenfield sites (e.g., prime agricultural lands). We examine the effect of siting decisions across land types for utility-scale and rooftop PV on the feasibility and cost of meeting solar deployment targets across the Eastern U.S. We build a database of solar PV supply curves by land type for each county in the Eastern Interconnect (EI) region (~2,400 counties). Our supply curves quantify technical potential versus levelized cost across greenfield, brownfield, and rooftop land types. With these supply curves and a 2035 solar deployment target (435 GW)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPhotovoltaic Systems and Sustainability · Solar Radiation and Photovoltaics · Sustainability and Climate Change Governance
