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Optimal mix of climate-related energy in global electricity systems

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  • Chu, Cheng-Ta
  • Hawkes, Adam D.

Abstract

Existing studies on high renewable share electricity systems are usually based on least cost optimization. Running the related models can be time-consuming when space-time resolution is high. This study investigates the optimal mix of climate-related energies for most countries in the world with optimization models based on three criteria: cost, residual load variability, and portfolio output variability. The objectives of minimizing residual load variability and portfolio output variability are to ensure the overall complementarity of the generation portfolio, which may result in less conventional dispatchable units needed in a system. Compromise solutions based on the three objectives are proposed as the optimal mix. This method can produce solutions in acceptable modelling time, and considers the portfolio output characteristics which can make higher climate-related energy penetration more practical. The results show that the compromise solutions can effectively minimize the three objective values in most countries. The results also suggest that wind power is crucial in higher renewable share systems while solar power does not reach over 50% capacity share.

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  • Chu, Cheng-Ta & Hawkes, Adam D., 2020. "Optimal mix of climate-related energy in global electricity systems," Renewable Energy, Elsevier, vol. 160(C), pages 955-963.
    • Handle: RePEc:eee:renene:v:160:y:2020:i:c:p:955-963
    DOI: 10.1016/j.renene.2020.06.104
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    3. Lu Gan & Dirong Xu & Xiuyun Chen & Pengyan Jiang & Benjamin Lev & Zongmin Li, 2023. "Sustainable portfolio re-equilibrium on wind-solar-hydro system: An integrated optimization with combined meta-heuristic," Energy & Environment, , vol. 34(5), pages 1383-1408, August.

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