More of America’s businesses are choosing to install solar than ever before. Walmart once again took the top spot among America’s businesses in the electric generation capacity of its solar investments and number of solar projects. The big box retailer, based in Bentonville, Ark., boasts a robust 142 megawatts (MW) of solar photovoltaic (PV) capacity and has completed 348 installations.
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Solar energy is on the rise in the United States. At the end of the first quarter of 2015, more than 21,300 megawatts of cumulative solar electric capacity had been installed around the country, enough to power more than 4.3 million homes. The rapid growth of solar energy in the United States is the result of forward-looking policies that are helping the nation reduce its contribution to global warming and expand its use of local renewable energy sources.
Analysis from the Energy Department's National Renewable Energy Laboratory (NREL) finds that by making shared solar programs available to households and businesses that currently cannot host on-site photovoltaic (PV) systems shared solar could represent 32 to 49 percent of the distributed photovoltaic market in 2020.
This policy brief estimates the impacts that current law would have on the solar industry. It also formulates several policy alternatives and estimates their effectiveness at mitigating the negative impacts of the investment tax credit cliff embedded within current law.
In their new report, the National Resources Defense Council delves into the impacts of the U.S. Environmental Protection Agency's proposed Clean Power Plan on more vulnerable communities.
North Carolina is the South’s leader, and fourth among U.S. states, in using solar power to diversify its portfolio of electric power generation fuels. Three policy issues affect the future of North Carolina’s continued development of large-scale solar, which can be viewed in the attached document.
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.
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).