News articles classified as infrastructure

Dams and food security

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.

Charging cars at home at night is not the way to go

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.

Next-gen battery solutions

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.

When will California’s San Joaquin Valley stop sinking?

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 produce high levels of nuclear waste

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.

Stanford energy expert discusses UN climate report

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.

Building smarter

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.

AI system identifies buildings damaged by wildfire

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.