IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v181y2019icp677-693.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219310679
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.05.185?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. de Oliveira, Glauber Cardoso & Bertone, Edoardo & Stewart, Rodney A., 2022. "Optimisation modelling tools and solving techniques for integrated precinct-scale energy–water system planning," Applied Energy, Elsevier, vol. 318(C).
    2. Xinyu Sun & Hao Wu & Siqi Guo & Lingwei Zheng, 2022. "Day-Ahead Optimal Scheduling of Integrated Energy System Based on Type-II Fuzzy Interval Chance-Constrained Programming," Energies, MDPI, vol. 15(18), pages 1-17, September.
    3. Wang, Bingqing & Li, Yongping & Huang, Guohe & Gao, Pangpang & Liu, Jing & Wen, Yizhuo, 2023. "Development of an integrated BLSVM-MFA method for analyzing renewable power-generation potential under climate change: A case study of Xiamen," Applied Energy, Elsevier, vol. 337(C).
    4. Zhang, Jinbo & Liu, Lirong & Xie, Yulei & Han, Dengcheng & Zhang, Yang & Li, Zheng & Guo, Huaicheng, 2023. "Revealing the impact of an energy–water–carbon nexus–based joint tax management policy on the environ-economic system," Applied Energy, Elsevier, vol. 331(C).
    5. Liang, M.S. & Huang, G.H. & Chen, J.P. & Li, Y.P., 2022. "Development of non-deterministic energy-water-carbon nexus planning model: A case study of Shanghai, China," Energy, Elsevier, vol. 246(C).
    6. Cong Chen & Lei Yu & Xueting Zeng & Guohe Huang & Yongping Li, 2020. "Planning an Energy–Water–Environment Nexus System in Coal-Dependent Regions under Uncertainties," Energies, MDPI, vol. 13(1), pages 1-40, January.
    7. 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).
    8. 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).
    9. Wang, Shuhang & Wang, Xu & Fu, Zhenghui & Liu, Feng & Xu, Ye & Li, Wei, 2022. "A novel energy-water nexus based CHP operation optimization model under water shortage," Energy, Elsevier, vol. 239(PA).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liang, M.S. & Huang, G.H. & Chen, J.P. & Li, Y.P., 2022. "Energy-water-carbon nexus system planning: A case study of Yangtze River Delta urban agglomeration, China," Applied Energy, Elsevier, vol. 308(C).
    2. Ding, Tao & Liang, Liang & Zhou, Kaile & Yang, Min & Wei, Yuqi, 2020. "Water-energy nexus: The origin, development and prospect," Ecological Modelling, Elsevier, vol. 419(C).
    3. 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.
    4. 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.
    5. 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).
    6. Fernández-Blanco, R. & Kavvadias, K. & Hidalgo González, I., 2017. "Quantifying the water-power linkage on hydrothermal power systems: A Greek case study," Applied Energy, Elsevier, vol. 203(C), pages 240-253.
    7. Sharifzadeh, Mahdi & Hien, Raymond Khoo Teck & Shah, Nilay, 2019. "China’s roadmap to low-carbon electricity and water: Disentangling greenhouse gas (GHG) emissions from electricity-water nexus via renewable wind and solar power generation, and carbon capture and sto," Applied Energy, Elsevier, vol. 235(C), pages 31-42.
    8. Yu, L. & Li, Y.P. & Huang, G.H. & Fan, Y.R. & Yin, S., 2018. "Planning regional-scale electric power systems under uncertainty: A case study of Jing-Jin-Ji region, China," Applied Energy, Elsevier, vol. 212(C), pages 834-849.
    9. Chen, Chen & Zhang, Xiaodong & Zhang, Huayong & Cai, Yanpeng & Wang, Shuguang, 2022. "Managing water-energy-carbon nexus in integrated regional water network planning through graph theory-based bi-level programming," Applied Energy, Elsevier, vol. 328(C).
    10. Cong Chen & Lei Yu & Xueting Zeng & Guohe Huang & Yongping Li, 2020. "Planning an Energy–Water–Environment Nexus System in Coal-Dependent Regions under Uncertainties," Energies, MDPI, vol. 13(1), pages 1-40, January.
    11. Hao Li & Yuhuan Zhao & Jiang Lin, 2020. "A review of the energy–carbon–water nexus: Concepts, research focuses, mechanisms, and methodologies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 9(1), January.
    12. Jabari, Farkhondeh & Jabari, Hamid & Mohammadi-ivatloo, Behnam & Ghafouri, Jafar, 2019. "Optimal short-term coordination of water-heat-power nexus incorporating plug-in electric vehicles and real-time demand response programs," Energy, Elsevier, vol. 174(C), pages 708-723.
    13. Tan, R.R. & Aviso, K.B. & Ng, D.K.S., 2019. "Optimization models for financing innovations in green energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    14. 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.
    15. Tsao, Yu-Chung & Thanh, Vo-Van, 2021. "Toward sustainable microgrids with blockchain technology-based peer-to-peer energy trading mechanism: A fuzzy meta-heuristic approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    16. Jin, Yi & Tang, Xu & Feng, Cuiyang & Höök, Mikael, 2017. "Energy and water conservation synergy in China: 2007–2012," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 206-215.
    17. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "A review of co-optimization approaches for operational and planning problems in the energy sector," Applied Energy, Elsevier, vol. 304(C).
    18. Araya, Natalia & Ramírez, Yendery & Cisternas, Luis A. & Kraslawski, Andrzej, 2021. "Use of real options to enhance water-energy nexus in mine tailings management," Applied Energy, Elsevier, vol. 303(C).
    19. Cai, Beiming & Jiang, Ling & Liu, Yu & Wang, Feng & Zhang, Wei & Yan, Xu & Ge, Zhenzi, 2023. "Regional trends and socioeconomic drivers of energy-related water use in China from 2007 to 2017," Energy, Elsevier, vol. 275(C).
    20. Logan, Lauren H. & Stillwell, Ashlynn S., 2018. "Probabilistic assessment of aquatic species risk from thermoelectric power plant effluent: Incorporating biology into the energy-water nexus," Applied Energy, Elsevier, vol. 210(C), pages 434-450.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:181:y:2019:i:c:p:677-693. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.