To identify opportunities to decrease costs associated with residential PV adoption, in this letter we use multivariate regression models to analyze a unique, household-level dataset of PV adopters in Texas (USA) to systematically quantify the effect of different information channels on aspiring PV adopters’ decision-making.
Market Research/Policy or Economic Analysis
You are here
In this paper we present the architecture of a theoretically-based and empirically-driven agent-based model fot technology adaptation, with an application to residential solar photovoltaics (PV).
Residential solar's diffusion across the U.S. power grid is inspiring concern in the utility industry. Of particular debate have been net energy metering policies (NEM), which engender revenue losses and lead to cross-subsidization of solar customers by non-solar customers. An emerging alternative to NEM is the value of solar tariff (VOST), which is designed to pay residential solar generation based on a more nuanced benefit-cost analysis to determine the actual value of residential solar to utility operations.
The Executive Summary from the report:
With significant variance in estimates of cost and price within the solar market, DOE's Sunshot Initiative with scientists from National Renewable Energy Laboratory (NREL) and Lawrence Berkley National Labs, have released their report that seeks
While PV modules and other hardware costs have dropped significantly over recent years, non-hardware soft costs have also fallen, but not nearly as sharply.
Lawrence Berkley National Lab's "Tracking the Sun" is an annual report that tracks and analyzes installed prices of solar PV. The report analyzes more than 300,000 individual residential, commercial and utility scale PV systems in 33 states.