Fraunhofer ISE researchers utilized a new front metallization technique to produce a III-V gallium arsenide solar cell. For mask and plate front metallization, they used a new two-step printing scheme that reportedly allows for the realization of extremely narrow mask openings.
Munich-based startup 42watt will expand its fee-based services to simplify building energy efficiency renovations for homeowners and enter new market segments after raising an undisclosed amount of seed funding.
Dragonfly Energy is using lithium hydroxide recovered from recycled batteries to manufacture battery cells, with Aqua Metals leading the way in recycling solutions for materials in the supply chains for energy storage and electric vehicles.
EnergyAustralia’s plans to install a 500 MW/2,000 MWh big battery storage system in the Australian state of New South Wales are gaining momentum, as the Hong Kong-owned generator has secured approval to conduct site investigation works.
In a new weekly update for pv magazine, OPIS, a Dow Jones company, provides a quick look at the main price trends in the global PV industry.
Solarstone, an Estonian producer of building-integrated photovoltaic (BIPV) solar roofs, has opened a 60 MW manufacturing facility in Viljandi, Estonia, to produce a broader range of design and performance specifications.
Mondragon Assembly says it has won a patent dispute in China, marking its second successful case in the country in relation to its patented continuous string process.
Hydrostor has signed a deal with miner Perilya to build a 200 MW/1,600 MWh advanced compressed air energy storage facility in a disused mine cavity in New South Wales, Australia.
As the energy storage trend unfolds, stories litter the media landscape about lithium-ion batteries catching fire, and even exploding. This is a valid concern, as the time for consumers to understand a basic truth about lithium-ion batteries is long past due.
Scientists in India utilized solar geometry to create a novel energy estimation model that reportedly accurately predicts both the front and back irradiance of bifacial PV modules. The model achieved correlation coefficients of 1.04 and 1.40 for the front and rear side, respectively.
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