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An Analysis of the Optimal Mix of Global Energy Resources and the Potential Need for Geoengineering Using the CEAGOM Model

Humanity faces tremendous challenges as a result of anthropogenic climate change caused by greenhouse gas emissions. The mix of resources deployed in order to meet the energy needs of a growing global population is key to addressing the climate change issue. The goal of this research is to examine t...

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Autores principales: Anasis, John G., Khalil, Mohammad Aslam Khan, Lendaris, George G., Butenhoff, Christopher L., Bluffstone, Randall
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6607309/
https://www.ncbi.nlm.nih.gov/pubmed/31565291
http://dx.doi.org/10.1002/gch2.201700040
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author Anasis, John G.
Khalil, Mohammad Aslam Khan
Lendaris, George G.
Butenhoff, Christopher L.
Bluffstone, Randall
author_facet Anasis, John G.
Khalil, Mohammad Aslam Khan
Lendaris, George G.
Butenhoff, Christopher L.
Bluffstone, Randall
author_sort Anasis, John G.
collection PubMed
description Humanity faces tremendous challenges as a result of anthropogenic climate change caused by greenhouse gas emissions. The mix of resources deployed in order to meet the energy needs of a growing global population is key to addressing the climate change issue. The goal of this research is to examine the optimal mix of energy resources that should be deployed to meet a forecast global energy demand while still meeting desired climate targets. The research includes the unique feature of examining the role that geoengineering can play in this optimization. The results show that some form of geoengineering is likely to be needed by the middle of the 21st century as part of the optimal energy strategy in order to meet a specified climate goal of 580 ppm CO(2)‐eq greenhouse gas concentration (or ≈2 °C average global temperature rise). The optimal energy mix would need to rely on energy efficiency, nuclear, geothermal, hydro, and wind energy for over 50% of global energy needs. In addition, the overall cost of the optimal energy mix is sensitive to the assumed amount of achievable energy efficiency, carbon taxes, deployment of electric vehicles, and the assumed discount rate.
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spelling pubmed-66073092019-09-27 An Analysis of the Optimal Mix of Global Energy Resources and the Potential Need for Geoengineering Using the CEAGOM Model Anasis, John G. Khalil, Mohammad Aslam Khan Lendaris, George G. Butenhoff, Christopher L. Bluffstone, Randall Glob Chall Full Papers Humanity faces tremendous challenges as a result of anthropogenic climate change caused by greenhouse gas emissions. The mix of resources deployed in order to meet the energy needs of a growing global population is key to addressing the climate change issue. The goal of this research is to examine the optimal mix of energy resources that should be deployed to meet a forecast global energy demand while still meeting desired climate targets. The research includes the unique feature of examining the role that geoengineering can play in this optimization. The results show that some form of geoengineering is likely to be needed by the middle of the 21st century as part of the optimal energy strategy in order to meet a specified climate goal of 580 ppm CO(2)‐eq greenhouse gas concentration (or ≈2 °C average global temperature rise). The optimal energy mix would need to rely on energy efficiency, nuclear, geothermal, hydro, and wind energy for over 50% of global energy needs. In addition, the overall cost of the optimal energy mix is sensitive to the assumed amount of achievable energy efficiency, carbon taxes, deployment of electric vehicles, and the assumed discount rate. John Wiley and Sons Inc. 2017-11-13 /pmc/articles/PMC6607309/ /pubmed/31565291 http://dx.doi.org/10.1002/gch2.201700040 Text en © 2017 The Authors. Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Full Papers
Anasis, John G.
Khalil, Mohammad Aslam Khan
Lendaris, George G.
Butenhoff, Christopher L.
Bluffstone, Randall
An Analysis of the Optimal Mix of Global Energy Resources and the Potential Need for Geoengineering Using the CEAGOM Model
title An Analysis of the Optimal Mix of Global Energy Resources and the Potential Need for Geoengineering Using the CEAGOM Model
title_full An Analysis of the Optimal Mix of Global Energy Resources and the Potential Need for Geoengineering Using the CEAGOM Model
title_fullStr An Analysis of the Optimal Mix of Global Energy Resources and the Potential Need for Geoengineering Using the CEAGOM Model
title_full_unstemmed An Analysis of the Optimal Mix of Global Energy Resources and the Potential Need for Geoengineering Using the CEAGOM Model
title_short An Analysis of the Optimal Mix of Global Energy Resources and the Potential Need for Geoengineering Using the CEAGOM Model
title_sort analysis of the optimal mix of global energy resources and the potential need for geoengineering using the ceagom model
topic Full Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6607309/
https://www.ncbi.nlm.nih.gov/pubmed/31565291
http://dx.doi.org/10.1002/gch2.201700040
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