Energy Management Systems

Renew Home, a partnership between Google Nest Renew and OhmConnect, aims to expand from 3 GW of electrical energy use to 50 GW by 2030.

Battery research is advancing to address issues in the lithium-ion development process and concerns about safety and aging. Vehicle-to-everything (V2X) tech, meanwhile, is in the starting blocks, but interoperability is the key hurdle to achieving mass market penetration.

The Israeli government said that earlier this month, for several minutes, renewable energy accounted for most of the nation’s energy production. In particular, solar covered 45% of total generation.

Battery storage revenues in Britain are well below historic highs but an appetite for storage capacity remains. Electricity system-operator modernization, increased competition, and new opportunities could all shape the future of British battery energy storage systems (BESS’).

The European Union has secured a critical raw materials deal with Rwanda, expanding collaboration between the two sides – particularly in the solar sector. A friendly regulatory environment deserves credit for helping to fast-track the adoption of solar, according to local analysts.

Sharp has developed vehicle-to-home (V2H) electric-vehicle chargers for PV-powered homes, featuring 6 kW of charging/discharging rated power and an input DC voltage of 340 V. The wall-mounted devices are suitable for indoor and outdoor environments.

PV systems, surpassing minimum load demands in various regions, necessitate innovative grid integration measures. Active power management (APM), notably curtailment, emerges as a powerful solution here. By actively managing power peaks, PV systems can unlock new possibilities, contribute to grid stability, and enhance their overall value. The new IEA-PVPS Task 14 report encourages a shift in perspective, urging DSOs to explore the potential of APM instead of traditional grid expansion methods.

Artificial intelligence (AI) is hot right now and is finding central applications in homes and businesses as they move from simple grid connections to self-generation, energy storage, electric vehicle (EV) charging, and load-shifting revenue streams. With AI everywhere, what’s the difference between advanced control, via simple algorithms, and true intelligence?

Scientists from China proposed a new method for energy trade optimization between interconnected microgrids and the main utility grid. The novel approach utilizes particle swarm optimization and gravitational search algorithms with Nash Bargaining.

Developed by scientists from the UK and Spain, the new model uses high spatiotemporal resolution weather data and data from heat pump field trials. It finds “significant regional differences” compared to a British nation-wide estimation.