This methodology computes the marginal energy utilization for supplying individual water users based on the existing topology of the water distribution network (WDN), pipe sizes and baseline flows.
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.
Stanford researchers have developed a low-cost, efficient, and reliable market platform system to monetize underutilized distribution system assets called Automatic Power Exchange (APEX).
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.
Stanford researchers have developed a Data-driven Urban Energy Benchmarking (DUE-B) methodology that uses readily available building energy consumption data to help municipalities design and develop energy efficiency policies and programs.
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.