Analysis finds that dammed reservoirs could store more than 50% of the water needed to irrigate crops without depleting water stocks or encroaching on nature. The researchers caution against building new dams, however, and urge consideration of alternative storage solutions.
The move to electric vehicles will result in large costs for generating, transmitting, and storing more power. Shifting current EV charging from home to work and night to day could cut costs and help the grid, according to a new Stanford study.
A new mathematical model has brought together the physics and chemistry of highly promising lithium-metal batteries, providing researchers with plausible, fresh solutions to a problem known to cause degradation and failure.
A Stanford University study simulates 65 years of land subsidence, or sinking, caused by groundwater depletion in California’s San Joaquin Valley. The results suggest significant sinking may continue for centuries after water levels stop declining but could slow within a few years if aquifers recover.
Small modular reactors, long touted as the future of nuclear energy, will actually generate more radioactive waste than conventional nuclear power plants, according to research from Stanford and the University of British Columbia.
Integrated reversible power-to-gas systems can also convert hydrogen back to electricity as a backup power source surprisingly economically, new research finds.
Energy expert Inês Azevedo, a lead author of the energy chapter in the United Nations’ new report on climate mitigation, discusses the assessment and changes necessary to keep global warming below 2 degrees Celsius.
Analysis presents a first-of-its-kind framework to design the most efficient mix of urban buildings along with integrated systems to supply power and water services. The approach could significantly reduce costs and pollution compared to traditional systems.
Researchers found increased concentrations of air pollutants downwind from oil and gas wells in California, likely affecting millions of Californians who live near them.
A deep learning approach to classifying buildings with wildfire damage may help responders focus their recovery efforts and offer more immediate information to displaced residents.
