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Energy–Water–CO 2 Synergetic Optimization Based on a Mixed-Integer Linear Resource Planning Model Concerning the Demand Side Management in Beijing’s Power Structure Transformation

Author

Listed:
  • Yuan Liu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Qinliang Tan

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of Renewable Electric Power and Low Carbon Development, North China Electric Power University, Beijing 102206, China
    Research Center for Beijing Energy Development, North China Electric Power University, Beijing 102206, China)

  • Jian Han

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Mingxin Guo

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

Studies on the energy–water–CO 2 synergetic relationship is an effective way to help achieve the peak CO 2 emission target and carbon neutral goal in global countries. One of the most valid way is to adjust through the electric power structure transformation. In this study, a mixed-integer linear resource planning model is proposed to investigate the energy–water–CO 2 synergetic optimization relationship, concerning the uncertainties in the fuel price and power demand prediction process. Coupled with multiple CO 2 emissions and water policy scenarios, Beijing, the capital city of China, is chosen as a case study. Results indicate that the demand-side management (DSM) level and the stricter environmental constraints can effectively push Beijing’s power supply system in a much cleaner direction. The energy–water–CO 2 relationship will reach a better balance under stricter environmental constraints and higher DSM level. However, the achievement of the energy–water–CO 2 synergetic optimization will be at an expense of high system cost. Decision makers should adjust their strategies flexibly based on the practical planning situations.

Suggested Citation

  • Yuan Liu & Qinliang Tan & Jian Han & Mingxin Guo, 2021. "Energy–Water–CO 2 Synergetic Optimization Based on a Mixed-Integer Linear Resource Planning Model Concerning the Demand Side Management in Beijing’s Power Structure Transformation," Energies, MDPI, vol. 14(11), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3268-:d:568182
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