Stanford researchers have developed an architecture and control scheme for the coordination of distributed energy resources (DER), such as solar and storage, to minimize operation cost, enhance network reliability, and provide DER aggregation.
Researchers at Stanford have developed a cloud-based behind-the-meter (BTM) system that can cut energy costs and reduce reliance on the grid close to 93% respectively.
Wastewater treatment is energy and cost intensive. Demand charges on electricity bills often account for a large share of electricity costs, creating strong incentives for shifting load peaks away from time-of-use periods.
Stanford researchers have designed a capacitively coupled electrostatic device (CCED) for measuring high voltage. The CCED is compact, low cost, safe, easy to use, accurate, and actively calibrated.
A team of Stanford researchers has developed ReMatch, an efficient, data-driven DER (distributed energy resources) planning and decision support framework that accounts for a range of complexities to optimize energy resource planning.