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rooftop solar

Briggs & Stratton launches new lithium iron phosphate battery packages

The battery packages include a battery, an inverter and a control system. The US manufacturer claims its storage systems have a lifespan of over 10,000 cycles and a depth of discharge of 80%.

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Israeli gas supplier Electra Power exits PV business

Electra Power, an Israeli energy supplier, is now in negotiations to sell its PV operations for up to $7.88 million. Last year, it reported an operational capacity of 4.7 MW and a project backlog of 25 MW.

Gautam Solar introduces n-type TOPCon solar module series

The Indian manufacturer released product lines for residential, commercial, and utility-scale applications.

Svea Solar secures Sweden’s largest solar PPA

Svea Solar solar parks managing director Pieter Godderis said the company was ‘really proud’ of the landmark deal with Scandanavian dairy titan Arla, which stipulates the Swedish independent power producer will provide the multinational 100 GWh of solar annually for a decade.

New design for vacuum integrated photovoltaic curtain walls

Scientists in China have outlined a new system architecture for vacuum integrated photovoltaic (VPV) curtain walls. They claim the new design can reduce building energy consumption and yield more surplus power generation electricity.

Swiss utility switches on 200-meter solar bicycle path

Swisspower-Stadtwerk SIG says its pilot solar bicycle path in Satigny will pave the way for similar projects in Switzerland.

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Solar carport design for east-west oriented projects

UK roofing specialist SIG Building Solutions is offering the solar carport solution in three different versions. The largest structure is designed to give maximum power for east-west facing double row car parking layouts.

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Solar self-consumption nearing gigawatt threshold in France

The latest figures from French grid operator Enedis for the connection of new PV systems under France’s solar self-consumption scheme reveal significant market growth in the first half of 2023.

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Training deep machine learning to identify PV, solar thermal systems in aerial images

A Swedish research group has found that using deep machine learning to identify solar energy systems in aerial images may not be so accurate in non-densely populated countries such as Sweden. They have also found, however, that this technique may be trained via an iterative process and achieve satisfying results.

Benchmarks for solar energy data, methods

The lower the uncertainty in solar resource data, the lower the investment costs. IEA PVPS Task 16 has organized and published two benchmarks to make uncertainty of models and data comparable – a first important step. The benchmarks included modeled solar resource data and methods to fill gaps in measurements.

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