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Q1-2024 Solar Cost Benchmarks

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Each year, the U.S. Department of Energy?s (DOE) Solar Energy Technologies Office (SETO) and its national laboratory partners develop cost benchmarks for U.S. solar photovoltaic (PV) systems. These benchmarks track progress toward reducing solar costs and guide R&D priorities.Unlike typical studies that report only $/W, SETO uses intrinsic units (e.g., $/m˛ for mounting structures) to better capture how technology improvements such as module efficiency would impact system costs. This allows flexible modeling where inputs can vary significantly to assess cost sensitivity.Costs are reported in two ways:Minimum Sustainable Price (MSP): Long term, financially viable price under stable market conditions.Modeled Market Price (MMP): Actual market price, influenced by short term distortions such as tariffs or subsidies.Three national labs collect cost data from industry stakeholders, ensuring no duplication in outreach to stakeholders. Data reflects real transactions (primarily from Q1) and is weighted based on the number of sources per cost element.The PV System Cost Model (PVSCM) divides total installed system cost into eight categories:Module (PV)InverterEnergy Storage System (ESS)Structural BOS (SBOS)Electrical BOS (EBOS)FieldworkOffice workOther (developer/EPC costs)The first five are hardware costs, while the last three are soft costs.Each category includes fixed and variable cost components, where ?size? depends on context (e.g., manufacturing capacity for modules vs. system capacity for installation costs). Variable costs are expressed using appropriate intrinsic units.The model reflects the owner?s upfront overnight capital cost, excluding tax credits. Tariffs and subsidies are treated as temporary market distortions affecting MMP but not MSP.PVSCM is implemented in Excel, where cost elements are aggregated into total system cost. Additional sheets handle unit conversions and operation & maintenance (O&M), with O&M costs levelized over the system?s lifetime.

Citation Formats

TY - DATA AB - Each year, the U.S. Department of Energy’s (DOE) Solar Energy Technologies Office (SETO) and its national laboratory partners develop cost benchmarks for U.S. solar photovoltaic (PV) systems. These benchmarks track progress toward reducing solar costs and guide R&D priorities.Unlike typical studies that report only $/W, SETO uses intrinsic units (e.g., $/m² for mounting structures) to better capture how technology improvements such as module efficiency would impact system costs. This allows flexible modeling where inputs can vary significantly to assess cost sensitivity.Costs are reported in two ways:Minimum Sustainable Price (MSP): Long term, financially viable price under stable market conditions.Modeled Market Price (MMP): Actual market price, influenced by short term distortions such as tariffs or subsidies.Three national labs collect cost data from industry stakeholders, ensuring no duplication in outreach to stakeholders. Data reflects real transactions (primarily from Q1) and is weighted based on the number of sources per cost element.The PV System Cost Model (PVSCM) divides total installed system cost into eight categories:Module (PV)InverterEnergy Storage System (ESS)Structural BOS (SBOS)Electrical BOS (EBOS)FieldworkOffice workOther (developer/EPC costs)The first five are hardware costs, while the last three are soft costs.Each category includes fixed and variable cost components, where “size” depends on context (e.g., manufacturing capacity for modules vs. system capacity for installation costs). Variable costs are expressed using appropriate intrinsic units.The model reflects the owner’s upfront overnight capital cost, excluding tax credits. Tariffs and subsidies are treated as temporary market distortions affecting MMP but not MSP.PVSCM is implemented in Excel, where cost elements are aggregated into total system cost. Additional sheets handle unit conversions and operation & maintenance (O&M), with O&M costs levelized over the system’s lifetime. AU - Basore, Paul A2 - Dummit, Krysta A3 - Ellis, Christie A4 - Peng, Peng A5 - Benoliel, Peter A6 - Hendrickson, Thomas A7 - Feldman, David A8 - Ramasamy, Vignesh A9 - Woodhouse, Michael A10 - Zuboy, Jarett A11 - Desai, Jal A12 - Walker, Andy A13 - Braid, Jennifer A14 - Jost, Norman A15 - Cooper, Emma DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Laboratory of the Rockies DO - KW - pv cost KW - Battery Cost KW - PV Plus Battery Cost KW - 2024 cost LA - English DA - 2025/12/10 PY - 2025 PB - National Laboratory of the Rockies T1 - Q1-2024 Solar Cost Benchmarks UR - https://data.openei.org/submissions/8583 ER -
Export Citation to RIS
Basore, Paul, et al. Q1-2024 Solar Cost Benchmarks. National Laboratory of the Rockies, 10 December, 2025, NREL. https://data.nlr.gov/submissions/307.
Basore, P., Dummit, K., Ellis, C., Peng, P., Benoliel, P., Hendrickson, T., Feldman, D., Ramasamy, V., Woodhouse, M., Zuboy, J., Desai, J., Walker, A., Braid, J., Jost, N., & Cooper, E. (2025). Q1-2024 Solar Cost Benchmarks. [Data set]. NREL. National Laboratory of the Rockies. https://data.nlr.gov/submissions/307
Basore, Paul, Krysta Dummit, Christie Ellis, Peng Peng, Peter Benoliel, Thomas Hendrickson, David Feldman, Vignesh Ramasamy, Michael Woodhouse, Jarett Zuboy, Jal Desai, Andy Walker, Jennifer Braid, Norman Jost, and Emma Cooper. Q1-2024 Solar Cost Benchmarks. National Laboratory of the Rockies, December, 10, 2025. Distributed by NREL. https://data.nlr.gov/submissions/307
@misc{OEDI_Dataset_8583, title = {Q1-2024 Solar Cost Benchmarks}, author = {Basore, Paul and Dummit, Krysta and Ellis, Christie and Peng, Peng and Benoliel, Peter and Hendrickson, Thomas and Feldman, David and Ramasamy, Vignesh and Woodhouse, Michael and Zuboy, Jarett and Desai, Jal and Walker, Andy and Braid, Jennifer and Jost, Norman and Cooper, Emma}, abstractNote = {Each year, the U.S. Department of Energy?s (DOE) Solar Energy Technologies Office (SETO) and its national laboratory partners develop cost benchmarks for U.S. solar photovoltaic (PV) systems. These benchmarks track progress toward reducing solar costs and guide R\&D priorities.Unlike typical studies that report only $/W, SETO uses intrinsic units (e.g., $/m˛ for mounting structures) to better capture how technology improvements such as module efficiency would impact system costs. This allows flexible modeling where inputs can vary significantly to assess cost sensitivity.Costs are reported in two ways:Minimum Sustainable Price (MSP): Long term, financially viable price under stable market conditions.Modeled Market Price (MMP): Actual market price, influenced by short term distortions such as tariffs or subsidies.Three national labs collect cost data from industry stakeholders, ensuring no duplication in outreach to stakeholders. Data reflects real transactions (primarily from Q1) and is weighted based on the number of sources per cost element.The PV System Cost Model (PVSCM) divides total installed system cost into eight categories:Module (PV)InverterEnergy Storage System (ESS)Structural BOS (SBOS)Electrical BOS (EBOS)FieldworkOffice workOther (developer/EPC costs)The first five are hardware costs, while the last three are soft costs.Each category includes fixed and variable cost components, where ?size? depends on context (e.g., manufacturing capacity for modules vs. system capacity for installation costs). Variable costs are expressed using appropriate intrinsic units.The model reflects the owner?s upfront overnight capital cost, excluding tax credits. Tariffs and subsidies are treated as temporary market distortions affecting MMP but not MSP.PVSCM is implemented in Excel, where cost elements are aggregated into total system cost. Additional sheets handle unit conversions and operation \& maintenance (O\&M), with O\&M costs levelized over the system?s lifetime.}, url = {https://data.nlr.gov/submissions/307}, year = {2025}, howpublished = {NREL, National Laboratory of the Rockies, https://data.nlr.gov/submissions/307}, note = {Accessed: 2026-07-29} }

Details

Data from Dec 10, 2025

Last updated Apr 21, 2026

Submitted Dec 10, 2025

Organization

National Laboratory of the Rockies

Contact

Vignesh Ramasamy

Authors

Paul Basore

United States Department of Energy

Krysta Dummit

United States Department of Energy

Christie Ellis

United States Department of Energy

Peng Peng

Lawrence Berkeley National Laboratory

Peter Benoliel

Lawrence Berkeley National Laboratory

Thomas Hendrickson

Lawrence Berkeley National Laboratory

David Feldman

National Laboratory of the Rockies

Vignesh Ramasamy

National Laboratory of the Rockies

Michael Woodhouse

National Laboratory of the Rockies

Jarett Zuboy

National Laboratory of the Rockies

Jal Desai

National Laboratory of the Rockies

Andy Walker

National Laboratory of the Rockies

Jennifer Braid

Sandia National Laboratories

Norman Jost

Sandia National Laboratories

Emma Cooper

Sandia National Laboratories

Research Areas

DOE Project Details

Project Name Solar Technology Cost Analysis

Project Number DE-EE00038269

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