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Residential, Commercial, and Utility-Scale Photovoltaic (PV) System Prices in the United States: Current Drivers and Cost-Reduction Opportunities
Open accessAbstract
The price of photovoltaic (PV) systems in the United States (i.e., the cost to the system owner) has dropped precipitously in recent years, led by substantial reductions in global PV module prices. However, system cost reductions are not necessarily realized or realized in a timely manner by many customers. Many reasons exist for the apparent disconnects between installation costs, componentprices, and system prices; most notable is the impact of fair market value considerations on system prices. To guide policy and research and development strategy decisions, it is necessary to develop a granular perspective on the factors that underlie PV system prices and to eliminate subjective pricing parameters. This report's analysis of the overnight capital costs (cash purchase) paid for PVsystems attempts to establish an objective methodology that most closely approximates the book value of PV system assets.
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Metadata
- Authors
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Goodrich, A., National Renewable Energy Laboratory (NREL), G., James, T., & Woodhouse, M.
- Published
- 2012-02-01
- OpenAlex
- W295443030
- Cited by
- 254
- References
- 0
- Type
- report
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Residential, Commercial, and Utility-Scale Photovoltaic (PV) System Prices in the United States: Current Drivers and Cost-Reduction Opportunities. https://app.cochat.ai/papers/10.2172/1036048
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- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Goodrich, A., National Renewable Energy Laboratory (NREL), G., James, T., & Woodhouse, M. (2012). Residential, Commercial, and Utility-Scale Photovoltaic (PV) System Prices in the United States: Current Drivers and Cost-Reduction Opportunities. https://doi.org/10.2172/1036048
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
