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Fuzzy interval programming for energy and environmental systems management under constraint-violation and energy-substitution effects: A case study for the City of Beijing

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  • Dong, Cong
  • Huang, Guohe
  • Cai, Yanpeng
  • Li, Wei
  • Cheng, Guanhui

Abstract

In this research, a fuzzy interval-parameter approach considering constraint-violation and energy-substitution effects (FIP-CVESE) was developed for planning municipal energy systems, which was an integration of interval linear programming (ILP) and fuzzy linear programming (FLP), as well as methods of constraint-violation and energy-substitution analyses. The proposed method was then applied to a real-world case for supporting the planning of the energy system in Beijing. The developed FIP-CVESE method could not only tackle uncertainties expressed as both interval numbers and fuzzy sets, but also allow several given levels of tolerable violations of system objective and constraints to expand the model's decision space, facilitating the improvement in solution robustness. The obtained results could provide a series of desired decision alternatives at preferred satisfaction degrees, including schemes related to energy resources allocation, technology adoption, facility capacity expansion, transportation device identification, and environmental pollution mitigation. Also the substitution solutions among multiple energy resources can be generated by combining energy substitution effects with the violation levels of resources demands constrains through the introduction of violation variables. The acquired solutions could also help decision makers gain insights of trade-offs between the economy and environment, as well as support decision-making for the planning of the energy system in Beijing.

Suggested Citation

  • Dong, Cong & Huang, Guohe & Cai, Yanpeng & Li, Wei & Cheng, Guanhui, 2014. "Fuzzy interval programming for energy and environmental systems management under constraint-violation and energy-substitution effects: A case study for the City of Beijing," Energy Economics, Elsevier, vol. 46(C), pages 375-394.
    • Handle: RePEc:eee:eneeco:v:46:y:2014:i:c:p:375-394
    DOI: 10.1016/j.eneco.2014.09.024
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    More about this item

    Keywords

    Energy management system; Energy policy making; Energy substitution effect; Violation analysis; Beijing;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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