California solar project portfolio bypasses time-consuming “Super Cluster” study
Renewable America will provide distributed capacity for four community choice aggregators in California.
Texas Senate approves tight permit restrictions on solar and wind
Under a new bill, existing projects could be retroactively removed if new permit requirements are not made. New solar and wind farms would need to win the approval of the Public Utility Commission of Texas, while undergoing yearly fees, tight siting requirements and more.
RFQ alert: Prologis seeks developers for 1 GW California industrial solar
The process is for projects in the 100 kW to 400 kW range, while the logistics facility operator is looking for qualified installers for projects under a three-year timeframe in order to retain California net energy metering (NEM) 2.0 status.
The world can manufacture enough solar to reach decarbonization goals
NREL researchers model viable pathways to supplying the estimated 60 TW of capacity required for decarbonization, and study the effect that disruptive solar technologies may have on deployment cost and market opportunity.
Longi posts 60% annual revenue increase despite polysilicon pricing sensitivity
Longi shipped 46.8 GW of silicon modules, representing three years of sequential growth from 24.5 GW shipped in 2020.
Sunrise brief: NEM 3.0 sparks the growing potential of virtual power plants
Also on the rise: Fold-out NASA satellite solar array undergoes successful test deployment. Solar-plus-storage microgrids to be deployed in four Bay Area cities. And more.
Fold-out NASA satellite solar array undergoes successful test deployment
The NASA/NOAA satellite, part of the GOES-R series, operated as-expected in its terrestrial test, making it one step closer to launch.
Solar-plus-storage microgrids to be deployed in four Bay Area cities
The 3.1 MW solar and 6.2 MWh battery microgrid portfolio will provide energy resilience as part of the Resilient Municipal Critical Facilities program.
NEM 3.0 sparks the growing potential of virtual power plants
Exploring California’s energy transition with the help of alternative battery technologies.
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.
