Grids & Integration

Solar industry veteran Jigar Shah, the director of the US Department of Energy’s (DoE) Loan Programs Office, says that virtual power plants are the path to success, as solar net metering now faces an uncertain future.

In the third week of September, European electricity markets prices fell compared to the previous week. The decline was due to lower demand and a significant increase in wind energy production in several markets, which offset increasing gas and CO2 prices. On September 25, TTF gas futures reached their highest level since early April and on September 18, Brent reached its highest settlement price since November 2022.

Researchers in Sweden investigated the complex non-linear tradeoffs between capacity expansion costs and reliability levels of off-grid PV mini-grids and found that capacity expansion based solely on cost-minimization may result in several reliability issues.

Researchers from the Netherlands have assessed the potential integration of heat pumps, electric vehicles, and PV systems into distribution grids. They have discovered that suburban grids could face a higher risk of overload. By using actual data from Dutch distribution grid operators, they believe their methodology could be applied to study energy systems in other nations.

Swiss scientists claim no distribution grid expansion is needed to increase the share of solar PV in energy systems, but they warn that priority dispatch for PV during peak loads may become a serious issue in the years to come. Among a range of recommendations, they proposed reducing peak loads by developing grid-serving behavior with PV system owners having to do their part.

Almost every weekend since Easter, European generators have been paid to power down plants but some Northern European nations are experiencing record electricity prices. An energy system set up for fossil fuels is in urgent need of reform, according to Gerard Reid, co-founder and partner of Alexa Capital.

A Brazilian research group has developed a new method that uses the unique properties of supercritical water to recycle end-of-life solar panels. The scientists claim the novel approach is able to achieve a 99.6% organic degradation, without using toxic or hazardous chemicals.

A scientific review of solar forecasting with computer vision and deep-learning tech identifies areas for improvement and calls for more collaboration between project developers and grid operators.

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.

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.