THREAD: New research from @BerkeleyLab, published in @NatureEnergyJnl, shows that policy and business model interventions can help low- and moderate-income households enjoy the benefits of rooftop #solar. Online at rdcu.be/b993z 1/x
Many states have programs to help low-income households go solar. But which create the biggest effects? Our research compares LMI incentives, leasing, and PACE finance programs. emp.lbl.gov/publications/i… 2/x
Using demographic data from solar adopters, @BerkeleyLab can parse the effects of different policies and business models. General subsidies do little to reach low-income customers, while leasing and PACE help a little. Most effective are direct LMI incentives. 3/x
Lastly, these LMI policies can have spillover effects, increasing adoption by LMI customers and communities, even beyond those who directly participate. More in the @NatureEnergyJnl article at rdcu.be/b993z. 4/x
The new @BerkeleyLab compilation of utility-scale #solar data and trends is out! A briefing slide deck, data file, maps, and data visualizations can all be found at utilityscalesolar.lbl.gov.
Here are some highlights → THREAD
More than 4.5 GW of utility-scale (>5 MW) solar came online in 2019, bringing cumulative capacity to 29 GW. Projects are spread across all 10 regions that we track, though more heavily concentrated in the sunniest regions. Maps and data available at utilityscalesolar.lbl.gov. 2/x
The median installed cost of new projects in 2019 fell to $1.4/W-AC, down 20% from 2018 and more than 70% from 2010. 77% of projects and 88% of capacity added in 2019 used single-axis tracking. More details in the new @BerkeleyLab data resource at utilityscalesolar.lbl.gov. 3/x
THREAD ALERT! Our annual “Tracking the Sun” report on distributed #solar is out! We have price, technology and other data from 1.6 million PV systems, representing 81% of the total installed through 2018. 1/x emp.lbl.gov/tracking-the-s…