This study investigates how economically motivated customers will use energy storage for demand charge reduction, as well as how this changes in the presence of on-site photovoltaic power generation, to investigate the possible effects of incentivizing increased quantities of behind-the-meter storage.
Resources tagged Distributed Solar
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Analysts at the Energy Department's National Renewable Energy Laboratory (NREL) have used statistical analyses and detailed case studies to better understand why solar market policies in certain states are more successful. Their findings indicate that while no standard formula for solar implementation exists, a combination of foundational policies and localized strategies can increase solar photovoltaic (PV) installations in any state.
Capturing the value that solar photovoltaic (PV) systems may add to home sales transactions is increasingly important. This study enhances the PV-home-valuation literature by more than doubling the number of PV home sales analyzed (22,822 homes in total, 3,951 of which are PV) and examining transactions in eight states that span the years 2002–2013.
In the report, a team of researchers from Yale University, University of Wisconsin-Madison, University of Texas-Austin, and Lawrence Berkeley National Laboratory empirically examined heterogeneity in PV prices in the United States.
This whitepaper, commissioned by Oncor Electric Delivery Company, shows that deploying electricity storage on distribution systems across Texas could provide substantial net benefits to the state.
U.S. Solar Market Insight™ is a collaboration between the Solar Energy Industries Association® (SEIA®) and GTM Research that brings high-quality, solar-specific analysis and forecasts to industry professionals in the form of quarterly and annual reports. Released December 9, 2014.
In this report, Rocky Mountain Institute (RMI), with support from the U.S. Department of Energy’s SunShot Initiative, investigates opportunities to optimize and demonstrate DPV’s value as it is integrated into the grid to utilities, customers, and solar companies alike.
As distributed generation continues its rapid expansion, these new resources will have an increasingly larger role.
Utilizing a unique dataset from the residential PV market in Texas, the authors construct a financial model based in part on an NREL model that calculates the expected lifecycle costs and revenues of PV system ownership for the residential buying