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A Combined Energy and Geoengineering Optimization Model (CEAGOM) for climate and energy policy analysis

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  • Anasis, John G.
  • Khalil, Mohammad Aslam Khan
  • Butenhoff, Christopher
  • Bluffstone, Randall
  • Lendaris, George G.

Abstract

Addressing greenhouse gas emissions and the associated global temperature rise will be one of the key issues of the 21st century. The supply and use of energy is the single largest contributor to anthropogenic greenhouse gas emissions through the burning of fossil fuels. Given the role fossil fuel use plays in the global economy, curtailing their use in order to mitigate climate change will be very difficult. This has led to proposals to deploy various types of geoengineering as a means of mitigating the global temperature increase. Current integrated assessment models (IAMs) do not readily incorporate geoengineering options. They are also complex to set up and run. This has led the authors to develop the Combined Energy and Geoengineering Optimization Model (CEAGOM)©. CEAGOM provides an easy to use software platform that explicitly includes geoengineering as potential options as part of the optimization of the energy resource mix for meeting a specified energy demand while still meeting specified climate targets. This paper describes the CEAGOM model and shows that its results compare quite favorably with those from a more complex IAM.

Suggested Citation

  • Anasis, John G. & Khalil, Mohammad Aslam Khan & Butenhoff, Christopher & Bluffstone, Randall & Lendaris, George G., 2018. "A Combined Energy and Geoengineering Optimization Model (CEAGOM) for climate and energy policy analysis," Applied Energy, Elsevier, vol. 218(C), pages 246-255.
    • Handle: RePEc:eee:appene:v:218:y:2018:i:c:p:246-255
    DOI: 10.1016/j.apenergy.2018.02.145
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    References listed on IDEAS

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    1. Martin L. Weitzman, 2009. "Some Basic Economics of Extreme Climate Change," Chapters, in: Jean-Philippe Touffut (ed.), Changing Climate, Changing Economy, chapter 5, Edward Elgar Publishing.
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    1. Sharaf, Omar Z. & Al-Khateeb, Ashraf N. & Kyritsis, Dimitrios C. & Abu-Nada, Eiyad, 2018. "Direct absorption solar collector (DASC) modeling and simulation using a novel Eulerian-Lagrangian hybrid approach: Optical, thermal, and hydrodynamic interactions," Applied Energy, Elsevier, vol. 231(C), pages 1132-1145.
    2. Bojana Škrbić & Željko Đurišić, 2023. "Novel Planning Methodology for Spatially Optimized RES Development Which Minimizes Flexibility Requirements for Their Integration into the Power System," Energies, MDPI, vol. 16(7), pages 1-34, April.
    3. Audoly, Richard & Vogt-Schilb, Adrien & Guivarch, Céline & Pfeiffer, Alexander, 2018. "Pathways toward zero-carbon electricity required for climate stabilization," Applied Energy, Elsevier, vol. 225(C), pages 884-901.
    4. Anasis, John G. & Khalil, Mohammad Aslam Khan & Butenhoff, Christopher & Bluffstone, Randall & Lendaris, George G., 2019. "Optimal energy resource mix for the US and China to meet emissions pledges," Applied Energy, Elsevier, vol. 238(C), pages 92-100.
    5. Chen, J.P. & Huang, G. & Baetz, B.W. & Lin, Q.G. & Dong, C. & Cai, Y.P., 2018. "Integrated inexact energy systems planning under climate change: A case study of Yukon Territory, Canada," Applied Energy, Elsevier, vol. 229(C), pages 493-504.

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