Utility companies are generally well-equipped to handle routine blackouts, but often struggle with extreme weather events like hurricanes. Conventional hurricane power-outage prediction models often produce incomplete or incorrect results, hampering companies' abilities to prepare to restore power as quickly as possible, especially in cities that are susceptible to prolonged hurricane-induced power outages. New research from NYU Tandon School of Engineering may help solve that problem. By combining wind speed and precipitation data with data about an area's land use patterns – which reflect variations in power infrastructure between rural and urban areas – and population density – as an indicator of the number of transformers present – researchers are moving towards a more accurate physics-driven hurricane-induced power outage predictive model than techniques currently in widespread use.

https://www.miragenews.com/nyu-tandon-engineers-unveil-superior-hurricane-1079999/

#miragenews