Q1-2024 Solar Cost Benchmarks
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 -
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
Original Source
https://data.nlr.gov/submissions/307Research Areas
Keywords
pv cost, Battery Cost, PV Plus Battery Cost, 2024 costDOE Project Details
Project Name Solar Technology Cost Analysis
Project Number DE-EE00038269

