Germany installed about 17.5 GW of new PV capacity in 2025, taking cumulative installations past 117 GW by year end, according to preliminary data from the German Solar Association.
Consumers Energy has switched on a 250 MW solar project in western Michigan built on an active municipal wastewater treatment site, using a dedicated 138 kV grid connection.
AleaSoft Energy Forecasting’s latest analysis finds Germany broke its record for solar production on a day in December on Christmas Day, reaching 87 GWh, while Italy and France achieved the same feat three days later, registering 66 GWh and 54 GWh respectively.
A Malaysian research team proposed new concepts such as cowvoltaics, sheepvoltaics, goatvoltaics, veggievoltaics, fruitvoltaics and fishvoltaics to better define the diverse applications of photovoltaics in dual land use. Their review outlines four main categories – livestockvoltaics, crop-based agrivoltaics, aquavoltaics, and zoovoltaics – and presents several business cases.
A University of Exeter team has tested single-axis tracking systems for floating solar across 12 UK sites, finding azimuthal tracking delivers the largest energy gains and lowest levelized cost of energy (LCOE).
In a new weekly update for pv magazine, Solcast, a DNV company, reports that early 2026 will bring mixed solar conditions globally, with strong prospects in eastern Australia and eastern China, but cloudier-than-normal outlooks for much of Europe, Asia, and parts of the US early in the year.
Adani Green Energy Ltd. (AGEL) has commissionied an aggregate 307.4 MW of renewable energy capacity at Khavda in Gujarat, India.
A regional government authority in eastern China is weighing whether to unwind a multibillion-yuan manufacturing joint venture with Eging PV after construction delays and funding disruptions, underscoring mounting strain across the country’s solar supply chain.
GlobalData’s latest analysis says the U.S. will add between 41 GW and 52 GW of solar annually until 2035.
Scientists have developed a floating PV digital twin system, trained on data from 155 physical experiments, using a two-tier artificial neural network (ANN) with a high-fidelity model and a reduced-order model. Predictive performance reached R2 values of 0.9996 for PV surface temperature and 0.9189 for power output.
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