Published on : Nov 26, 2019
Mostly, for future energy generation planning pursuits, climate change and water resource conditions are overlooked. This is poised for change employing a new modeling approach.
Using this model, climate and future resource conditions are taken into account, says analysis of researchers of a university and national laboratory. The new model reveals national power grid may require additional 5.3% to 12% power-generating capacity to satisfy demand and reliability requirements.
As a plus, the change would reduce carbon emissions and water use. This would potentially help mitigate climate changes in the future.
The online version of the study is available today. Howbeit, the study will be featured as the cover article on the online issue of December 3 and December 13 print issue of the journal Environmental Science & Technology.
This is the first time of modeling of future electricity infrastructure accounting climate change. Not only this, the method includes reliability checks to ensure reliable power supply thresholds under constraints of climate and water resources.
Array of Parameters gauged for Modeling Electricity Infrastructure employing New Approach
For modeling of electricity infrastructure, using the new approach, researchers combined high resolution hydrological, capacity expansion, and thermal–power plant to improve reliability of long-term electricity infrastructure taking into consideration climate-water impacts.
Mostly, modeling of electricity infrastructure is not done this way. Alternately, it’s done without feasibility checks of results. Meanwhile, the new approach enabled to gauge climate and water impact on reliability of power supply for each region. And identify steps for the future to adapt for enhanced reliability.
Currently, in the U.S., electricity grid heavily rely on thermal power plants powered by coal, natural gas, and nuclear energy. These electricity grids are severely affected by warm surrounding temperatures, and thus require large amounts of water for cooling.