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Development of an interval-credibility-chance constrained energy-water nexus system planning model—a case study of Xiamen, China

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  • Liu, J.
  • Nie, S.
  • Shan, B.G.
  • Li, Y.P.
  • Huang, G.H.
  • Liu, Z.P.

Abstract

In this study, an interval-credibility-chance constrained programming (ICCCP) method which is capable of handling uncertainties presented as interval and interval-fuzzy-random values existed in the energy-water nexus (EWN) system is developed. An ICCCP-EWN model is formulated for planning energy-water nexus system of Xiamen that is heavily relies on fossil fuels (e.g., coal is a main energy source). A set of probability and credibility levels related to energy-water availabilities, energy-water demands, and pollutant-emission mitigations are examined. Results discover that uncertainties have significant effects on the system planning strategies. System cost, heat generation, imported energy, and water supply would decrease with the raised probability level and increase with the raised credibility level. Coal-fired would be the main contributor to electricity generation; however, its proportion would reduce from [59.4, 59.9]% to [40.5, 41.8]%. Gas-fired would increase from [27.4, 27.6]% to [41.5, 43.9]% of the total electricity generation. Surface water would be the main water source, sharing more than 65% of the total amount. One of the major water users would be gas-fired electricity generation, increasing from [32.1, 32.6]% to [42.1, 44.6]% in future. These findings can provide useful information for the study city to adjust the existing energy and water planning strategies to achieve the goal of sustainable development.

Suggested Citation

  • Liu, J. & Nie, S. & Shan, B.G. & Li, Y.P. & Huang, G.H. & Liu, Z.P., 2019. "Development of an interval-credibility-chance constrained energy-water nexus system planning model—a case study of Xiamen, China," Energy, Elsevier, vol. 181(C), pages 677-693.
    • Handle: RePEc:eee:energy:v:181:y:2019:i:c:p:677-693
    DOI: 10.1016/j.energy.2019.05.185
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    as
    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. Akbari, Ebrahim & Hooshmand, Rahmat-Allah & Gholipour, Mehdi & Parastegari, Moein, 2019. "Stochastic programming-based optimal bidding of compressed air energy storage with wind and thermal generation units in energy and reserve markets," Energy, Elsevier, vol. 171(C), pages 535-546.
    4. Stojiljković, Mirko M., 2017. "Bi-level multi-objective fuzzy design optimization of energy supply systems aided by problem-specific heuristics," Energy, Elsevier, vol. 137(C), pages 1231-1251.
    5. Zhang, Y.M. & Huang, G.H. & Lin, Q.G. & Lu, H.W., 2012. "Integer fuzzy credibility constrained programming for power system management," Energy, Elsevier, vol. 38(1), pages 398-405.
    6. Zhu, Y. & Huang, G.H. & Li, Y.P. & He, L. & Zhang, X.X., 2011. "An interval full-infinite mixed-integer programming method for planning municipal energy systems - A case study of Beijing," Applied Energy, Elsevier, vol. 88(8), pages 2846-2862, August.
    7. J. Liu & Y. P. Li & G. H. Huang, 2013. "Mathematical Modeling for Water Quality Management under Interval and Fuzzy Uncertainties," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-14, December.
    8. Hemmati, Reza & Saboori, Hedayat & Jirdehi, Mehdi Ahmadi, 2017. "Stochastic planning and scheduling of energy storage systems for congestion management in electric power systems including renewable energy resources," Energy, Elsevier, vol. 133(C), pages 380-387.
    9. Duan, Cuncun & Chen, Bin, 2017. "Energy–water nexus of international energy trade of China," Applied Energy, Elsevier, vol. 194(C), pages 725-734.
    10. 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.
    11. Nogueira Vilanova, Mateus Ricardo & Perrella Balestieri, José Antônio, 2015. "Exploring the water-energy nexus in Brazil: The electricity use for water supply," Energy, Elsevier, vol. 85(C), pages 415-432.
    12. Tsolas, Spyridon D. & Karim, M. Nazmul & Hasan, M.M. Faruque, 2018. "Optimization of water-energy nexus: A network representation-based graphical approach," Applied Energy, Elsevier, vol. 224(C), pages 230-250.
    13. Hickman, William & Muzhikyan, Aramazd & Farid, Amro M., 2017. "The synergistic role of renewable energy integration into the unit commitment of the energy water nexus," Renewable Energy, Elsevier, vol. 108(C), pages 220-229.
    14. Faddel, Samy & Aldeek, A. & Al-Awami, Ali T. & Sortomme, Eric & Al-Hamouz, Zakariya, 2018. "Ancillary Services Bidding for Uncertain Bidirectional V2G Using Fuzzy Linear Programming," Energy, Elsevier, vol. 160(C), pages 986-995.
    15. Chinese, Damiana & Santin, Maurizio & Saro, Onorio, 2017. "Water-energy and GHG nexus assessment of alternative heat recovery options in industry: A case study on electric steelmaking in Europe," Energy, Elsevier, vol. 141(C), pages 2670-2687.
    16. Soares, Murilo Pereira & Street, Alexandre & Valladão, Davi Michel, 2017. "On the solution variability reduction of Stochastic Dual Dynamic Programming applied to energy planning," European Journal of Operational Research, Elsevier, vol. 258(2), pages 743-760.
    17. 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.
    18. Hocine, Amine & Kouaissah, Noureddine & Bettahar, Samir & Benbouziane, Mohamed, 2018. "Optimizing renewable energy portfolios under uncertainty: A multi-segment fuzzy goal programming approach," Renewable Energy, Elsevier, vol. 129(PA), pages 540-552.
    19. Cayir Ervural, Beyzanur & Evren, Ramazan & Delen, Dursun, 2018. "A multi-objective decision-making approach for sustainable energy investment planning," Renewable Energy, Elsevier, vol. 126(C), pages 387-402.
    20. Santhosh, Apoorva & Farid, Amro M. & Youcef-Toumi, Kamal, 2014. "The impact of storage facility capacity and ramping capabilities on the supply side economic dispatch of the energy–water nexus," Energy, Elsevier, vol. 66(C), pages 363-377.
    21. Jin, L. & Huang, G.H. & Fan, Y.R. & Wang, L. & Wu, T., 2015. "A pseudo-optimal inexact stochastic interval T2 fuzzy sets approach for energy and environmental systems planning under uncertainty: A case study for Xiamen City of China," Applied Energy, Elsevier, vol. 138(C), pages 71-90.
    22. Sun, Li & Pan, Bolin & Gu, Alun & Lu, Hui & Wang, Wei, 2018. "Energy–water nexus analysis in the Beijing–Tianjin–Hebei region: Case of electricity sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 27-34.
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    5. 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).
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