Abstract
Before investing in a system, a prospective PV customer must not only have initial concept 'buy in,' but also be able to evaluate the tradeoffs associated with different system parameters. Prospective customers might need to evaluate disparate costs for each system attribute by comparing multiple bids. The difficulty of making such an evaluation with limited information can create a cognitive barrier to proceeding with the investment. This analysis leverages recently available data from EnergySage, an online solar marketplace, to offer the first data-driven characterization of quote variation faced by prospective PV customers, lending early insight into the decisions customers face once they have initial buy-in.
Original language | American English |
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Number of pages | 25 |
DOIs | |
State | Published - 2015 |
NREL Publication Number
- NREL/TP-6A20-64792
Keywords
- costs
- distributed generation
- lease
- loans
- market competition
- price
- quote
- residential
- solar photovoltaics (PV)
- third-party