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Low-cost solution to the grid reliability problem with 100% penetration of intermittent wind, water, and solar for all purposes.


ABSTRACT: This study addresses the greatest concern facing the large-scale integration of wind, water, and solar (WWS) into a power grid: the high cost of avoiding load loss caused by WWS variability and uncertainty. It uses a new grid integration model and finds low-cost, no-load-loss, nonunique solutions to this problem on electrification of all US energy sectors (electricity, transportation, heating/cooling, and industry) while accounting for wind and solar time series data from a 3D global weather model that simulates extreme events and competition among wind turbines for available kinetic energy. Solutions are obtained by prioritizing storage for heat (in soil and water); cold (in ice and water); and electricity (in phase-change materials, pumped hydro, hydropower, and hydrogen), and using demand response. No natural gas, biofuels, nuclear power, or stationary batteries are needed. The resulting 2050-2055 US electricity social cost for a full system is much less than for fossil fuels. These results hold for many conditions, suggesting that low-cost, reliable 100% WWS systems should work many places worldwide.

SUBMITTER: Jacobson MZ 

PROVIDER: S-EPMC4679003 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

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Low-cost solution to the grid reliability problem with 100% penetration of intermittent wind, water, and solar for all purposes.

Jacobson Mark Z MZ   Delucchi Mark A MA   Cameron Mary A MA   Frew Bethany A BA  

Proceedings of the National Academy of Sciences of the United States of America 20151123 49


This study addresses the greatest concern facing the large-scale integration of wind, water, and solar (WWS) into a power grid: the high cost of avoiding load loss caused by WWS variability and uncertainty. It uses a new grid integration model and finds low-cost, no-load-loss, nonunique solutions to this problem on electrification of all US energy sectors (electricity, transportation, heating/cooling, and industry) while accounting for wind and solar time series data from a 3D global weather mod  ...[more]

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