Teralight has signed a 23-year power purchase agreement (PPA) for 108 MW/433 MWh of solar-plus-storage capacity. It will sell electricity to Dalia Power Energies under a tariff linked to the Israeli Electricity Authority’s regulated production tariffs.

Developed by Egyptian scientists, the PV-powered water pumping system may produce up to 181.8 m3 of water per day. The system consists of two PV arrays with each a capacity of 4.6 kW and a pumping unit made up of a 7.5 kW three-phase alternating current motor, a multistage submersible pump, a deep well, and a 15 kW inverter.

A US-Mexican research team has investigated how linking heat pumps with solar thermal collectors may help reduce the surface needed to deploy the collectors themselves. The scientists found the proposed solution may not only significantly reduce the footprint of solar thermal systems but also provide a lower levelized cost of energy compared to fossil fuels.

IEA-PVPS has published a new handbook that provides support for Technological Innovation System (TIS) analysis for building-integrated photovoltaics (BIPV).

Solegreen plans to deploy 210 MW/470 MWh of solar-plus-storage in Israel, through a project selected by the Israeli authorities in a 2020 tender. The facilities will sell power at ILS 0.1715 ($0.0459)/kWh.

New research from Finland shows that the best season for rooftop PV generation in the Arctic is spring, and that the best tilt angle for rooftop systems is 28 degrees. It also showed that vertical PV installations perform better in winter.

An international research group has applied for the first time integral backstepping control (IBC) as a control strategy for PV systems connected to microgrids. Through a series of simulations, the scientists found the new approach can provide better results than classic backstepping control (BC) and other techniques.

Researchers in Finland say that decentralized heat pumps could provide significant cost savings when selling surplus heat into district networks. However, they warned that capital expenditure remains high.

Scientists in South Korea have created an algorithm that reportedly prevents oversizing of power-to-gas systems located in areas with large shares of solar and renewable energy capacities. The algorithm calculates saturation points for both PV and power-to-gas facilities.

Saudi scientists created a new deep learning technique based on distributionally robust optimization (DRO) to identify the most suitable locations for utility scale wind and solar power projects. They applied the model to Saudi Arabia and found it provides ‘more realistic’ results than deterministic or robust models.