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A copula-based fuzzy interval-random programming approach for planning water-energy nexus system under uncertainty

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Listed:
  • Yu, L.
  • Xiao, Y.
  • Jiang, S.
  • Li, Y.P.
  • Fan, Y.R.
  • Huang, G.H.
  • Lv, J.
  • Zuo, Q.T.
  • Wang, F.Q.

Abstract

Water and energy are closely linked and restrict each other, which has become major restraints to urban development associated with constricted water resources availability, increased electricity demand and limited environmental capacity. In this study, a copula-based fuzzy interval-random programming method is proposed through integration of copula-based random programming, interval-parameter programming and fuzzy possibilistic programming. It can both handle random, interval and fuzzy information and reflect system joint-risk existing in the water-energy nexus system of Henan Province, China. A class of copulas associated with different water resources availability and electricity consumption scenarios as well as various uncertainties are examined. Results disclose that: a) uncertainties and scenarios employed to water resources, electricity demand and other module parameters can generate prominent impacts on future water-energy nexus system; b) the percentage of electricity by coal-fired power can decrease by [1.8, 2.6] % under low water resources availability scenario compared to high water resources availability scenario. Findings can provide optimal electricity-supply schemes under the conflicts among economic objective, water resources shortage and electricity demand as well as environmental requirement.

Suggested Citation

  • Yu, L. & Xiao, Y. & Jiang, S. & Li, Y.P. & Fan, Y.R. & Huang, G.H. & Lv, J. & Zuo, Q.T. & Wang, F.Q., 2020. "A copula-based fuzzy interval-random programming approach for planning water-energy nexus system under uncertainty," Energy, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:energy:v:196:y:2020:i:c:s0360544220301705
    DOI: 10.1016/j.energy.2020.117063
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    1. Jing Liu & Yongping Li & Guohe Huang & Cai Suo & Shuo Yin, 2017. "An Interval Fuzzy-Stochastic Chance-Constrained Programming Based Energy-Water Nexus Model for Planning Electric Power Systems," Energies, MDPI, vol. 10(11), pages 1-23, November.
    2. Zhang, Xiaodong & Vesselinov, Velimir V., 2016. "Energy-water nexus: Balancing the tradeoffs between two-level decision makers," Applied Energy, Elsevier, vol. 183(C), pages 77-87.
    3. Wang, Saige & Chen, Bin, 2016. "Energy–water nexus of urban agglomeration based on multiregional input–output tables and ecological network analysis: A case study of the Beijing–Tianjin–Hebei region," Applied Energy, Elsevier, vol. 178(C), pages 773-783.
    4. Li, Nan & Chen, Wenying, 2019. "Energy-water nexus in China's energy bases: From the Paris agreement to the Well Below 2 Degrees target," Energy, Elsevier, vol. 166(C), pages 277-286.
    5. Cai, Yanpeng & Cai, Jianying & Xu, Linyu & Tan, Qian & Xu, Qiao, 2019. "Integrated risk analysis of water-energy nexus systems based on systems dynamics, orthogonal design and copula analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 125-137.
    6. Su, Jianxi & Furman, Edward, 2017. "Multiple risk factor dependence structures: Distributional properties," Insurance: Mathematics and Economics, Elsevier, vol. 76(C), pages 56-68.
    7. Yu, L. & Li, Y.P. & Huang, G.H., 2016. "A fuzzy-stochastic simulation-optimization model for planning electric power systems with considering peak-electricity demand: A case study of Qingdao, China," Energy, Elsevier, vol. 98(C), pages 190-203.
    8. Zhu, Y. & Li, Y.P. & Huang, G.H., 2013. "Planning carbon emission trading for Beijing's electric power systems under dual uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 113-128.
    9. Lv, J. & Li, Y.P. & Shan, B.G. & Jin, S.W. & Suo, C., 2018. "Planning energy-water nexus system under multiple uncertainties – A case study of Hebei province," Applied Energy, Elsevier, vol. 229(C), pages 389-403.
    10. Chen, F. & Huang, G.H. & Fan, Y.R. & Chen, J.P., 2017. "A copula-based fuzzy chance-constrained programming model and its application to electric power generation systems planning," Applied Energy, Elsevier, vol. 187(C), pages 291-309.
    11. Bieber, Niclas & Ker, Jen Ho & Wang, Xiaonan & Triantafyllidis, Charalampos & van Dam, Koen H. & Koppelaar, Rembrandt H.E.M. & Shah, Nilay, 2018. "Sustainable planning of the energy-water-food nexus using decision making tools," Energy Policy, Elsevier, vol. 113(C), pages 584-607.
    12. Li, Mo & Fu, Qiang & Singh, Vijay P. & Liu, Dong, 2018. "An interval multi-objective programming model for irrigation water allocation under uncertainty," Agricultural Water Management, Elsevier, vol. 196(C), pages 24-36.
    13. Su, Jianxi & Furman, Edward, 2017. "Multiple risk factor dependence structures: Copulas and related properties," Insurance: Mathematics and Economics, Elsevier, vol. 74(C), pages 109-121.
    14. Yu, L. & Li, Y.P. & Huang, G.H. & Fan, Y.R. & Nie, S., 2018. "A copula-based flexible-stochastic programming method for planning regional energy system under multiple uncertainties: A case study of the urban agglomeration of Beijing and Tianjin," Applied Energy, Elsevier, vol. 210(C), pages 60-74.
    15. A. Charnes & W. W. Cooper, 1983. "Response to "Decision Problems Under Risk and Chance Constrained Programming: Dilemmas in the Transition"," Management Science, INFORMS, vol. 29(6), pages 750-753, June.
    16. Yu, L. & Li, Y.P. & Huang, G.H., 2019. "Planning municipal-scale mixed energy system for stimulating renewable energy under multiple uncertainties - The City of Qingdao in Shandong Province, China," Energy, Elsevier, vol. 166(C), pages 1120-1133.
    17. Fan, Jing-Li & Kong, Ling-Si & Wang, Hang & Zhang, Xian, 2019. "A water-energy nexus review from the perspective of urban metabolism," Ecological Modelling, Elsevier, vol. 392(C), pages 128-136.
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    8. de Oliveira, Glauber Cardoso & Bertone, Edoardo & Stewart, Rodney A., 2022. "Challenges, opportunities, and strategies for undertaking integrated precinct-scale energy–water system planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    9. Huang, Shanshan & Suo, Cai & Guo, Junhong & Lv, Jing & Jing, Rui & Yu, Lei & Fan, Yurui & Ding, Yanming, 2023. "Balancing the water-energy dilemma in nexus system planning with bi-level and multi-uncertainty," Energy, Elsevier, vol. 278(C).
    10. Cao, R. & Huang, G.H. & Chen, J.P. & Li, Y.P. & He, C.Y., 2021. "A chance-constrained urban agglomeration energy model for cooperative carbon emission management," Energy, Elsevier, vol. 223(C).
    11. Wang, Yu & Lu, Yanli & Xu, Ye & Zheng, Lijun & Fan, Yurui, 2023. "A factorial inexact copula stochastic programming (FICSP) approach for water-energy- food nexus system management," Agricultural Water Management, Elsevier, vol. 277(C).
    12. Ahmad, Shakeel & Jia, Haifeng & Chen, Zhengxia & Li, Qian & Xu, Changqing, 2020. "Water-energy nexus and energy efficiency: A systematic analysis of urban water systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
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