Solar module prices at two-year low, deployment to reach 300 GW this year
A report by the National Renewable Energy Laboratory highlights core benchmarks for PV prices, deployment, imports and more.
Sunrise brief: CAISO transmission plan to support 17 GW of solar within a decade
Also on the rise: Industrial solar on a steep slope demonstrates advantages for brownfield solar development. Vermont neighborhood is solar, all-electric and storm resilient. And more.
Rooftop solar installed on California new construction mutlifamily housing
The Michaels Organization is expected to cover 20% of its electricity needs with the rooftop solar arrays.
Planned neighborhood is all-electric, solar-powered, and storm-resilient
Vermont Governor Phil Scott and Senator Peter Welch attended the groundbreaking for a new microgrid neighborhood in South Burlington that will have solar on every home and an EV charger in every garage.
Automated solar permitting speeds approval process
In 2022, the recently launched SolarAPP+ processed more than 11,000 residential solar power permits, accelerating projects by 13 business days compared to traditionally permitted projects. This boost coincided with a 29% reduction in inspection failures.
50 states of solar incentives: Arizona
SEIA ranked the state fifth in the U.S. for solar deployments and the Grand Canyon State continues to shine with a robust growth pipeline of 7.27 GW of solar projects to be installed over the next five years.
PosiGen procures $250 million debt facility to fund energy communities projects
The new funding commitment will provide expansion into additional markets nationwide for PosiGen, with a direct focus on serving households with high energy burdens who stand to benefit the most from transitioning to clean energy.
California gold rush supporting 2023 residential solar market
Ohm Analytics reports an uptick in third-party ownership in several states and believes NEM 2.0 projects will support California installers for many months, while other regional market outlooks vary by energy costs and local incentives.
Machine learning method to identify residential PV adopters, reduce soft costs
Researchers have defined a new machine learning-based methodology that reportedly reduces customer acquisition costs by about 15% or $0.07/Watt. It is based on an adapted version of the XGBoost algorithm and considers factors such as summer bills, household income, and homeowner’s age, among others.
Colorado passes bill to speed up solar permitting, inspection
HB-1234 provides nearly $1,000,000 to help local governments streamline solar permitting and inspection to support solar adoption.
