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Balancing the water-energy dilemma in nexus system planning with bi-level and multi-uncertainty

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  • Huang, Shanshan
  • Suo, Cai
  • Guo, Junhong
  • Lv, Jing
  • Jing, Rui
  • Yu, Lei
  • Fan, Yurui
  • Ding, Yanming

Abstract

The complicated interrelationship between water and energy makes the water-energy dilemma a complex challenge to be tackled, especially considering the tradeoffs among decision-makers at different hierarchical levels and multiple uncertainties derived from climate change, socio-economic development, technical improvement and decision-making preferences. Thus, a water-energy nexus planning framework would be established in this paper to assist optimal decision-making with bi-level programming and multi-uncertainty. By integrating the regional climate model, multiple linear regression, and bi-level interval flexible programming, an integrated prediction optimization model would be developed as the core of the water-energy nexus planning framework. Then it is applied to planning Zhengzhou City over fifteen years. Multiple scenarios based on electricity demand-supply and carbon dioxide emission satisfaction degrees are analyzed leading to the results of (1) compared to the conventional single-level optimization method, the developed model can achieve the hierarchical goals of water saving and economic suitability; (2) renewable energy will be largely developed and its ratio to electricity generation will reach [26.30, 27.51] % under the limited water availability. Overall, the proposed water-energy nexus planning framework can achieve a balanced water-energy dilemma considering bi-level decision-making preferences and multi-uncertainties, which can be applied to planning water-energy nexus systems at a similar scale.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:278:y:2023:i:c:s0360544223011143
    DOI: 10.1016/j.energy.2023.127720
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    1. Zhang, S.Q. & Li, Y.P. & Huang, G.H. & Ding, Y.K. & Yang, X., 2023. "Developing a copula-based input-output method for analyzing energy-water nexus of Tajikistan," Energy, Elsevier, vol. 266(C).
    2. Alberini, Anna & Filippini, Massimo, 2011. "Response of residential electricity demand to price: The effect of measurement error," Energy Economics, Elsevier, vol. 33(5), pages 889-895, September.
    3. Allison Thomson & Katherine Calvin & Steven Smith & G. Kyle & April Volke & Pralit Patel & Sabrina Delgado-Arias & Ben Bond-Lamberty & Marshall Wise & Leon Clarke & James Edmonds, 2011. "RCP4.5: a pathway for stabilization of radiative forcing by 2100," Climatic Change, Springer, vol. 109(1), pages 77-94, November.
    4. 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).
    5. Li, Y.P. & Huang, G.H. & Nie, X.H. & Nie, S.L., 2008. "A two-stage fuzzy robust integer programming approach for capacity planning of environmental management systems," European Journal of Operational Research, Elsevier, vol. 189(2), pages 399-420, September.
    6. Pramanik, Surapati & Roy, Tapan Kumar, 2007. "Fuzzy goal programming approach to multilevel programming problems," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1151-1166, January.
    7. Papapostolou, Christiana M. & Kondili, Emilia M. & Zafirakis, Dimitris P. & Tzanes, Georgios T., 2020. "Sustainable water supply systems for the islands: The integration with the energy problem," Renewable Energy, Elsevier, vol. 146(C), pages 2577-2588.
    8. Zuo, Qiting & Wu, Qingsong & Yu, Lei & Li, Yongping & Fan, Yurui, 2021. "Optimization of uncertain agricultural management considering the framework of water, energy and food," Agricultural Water Management, Elsevier, vol. 253(C).
    9. Huang, Bwo-Nung & Hwang, M.J. & Yang, C.W., 2008. "Causal relationship between energy consumption and GDP growth revisited: A dynamic panel data approach," Ecological Economics, Elsevier, vol. 67(1), pages 41-54, August.
    10. Ding, Yakui & Li, Yongping & Zheng, Heran & Meng, Jing & Lv, Jing & Huang, Guohe, 2022. "Identifying critical energy-water paths and clusters within the urban agglomeration using machine learning algorithm," Energy, Elsevier, vol. 250(C).
    11. Meng, Fanxin & Wang, Dongfang & Meng, Xiaoyan & Li, Hui & Liu, Gengyuan & Yuan, Qiuling & Hu, Yuanchao & Zhang, Yi, 2022. "Mapping urban energy–water–land nexus within a multiscale economy: A case study of four megacities in China," Energy, Elsevier, vol. 239(PB).
    12. Qin, Pengcheng & Xu, Hongmei & Liu, Min & Xiao, Chan & Forrest, Kate E. & Samuelsen, Scott & Tarroja, Brian, 2020. "Assessing concurrent effects of climate change on hydropower supply, electricity demand, and greenhouse gas emissions in the Upper Yangtze River Basin of China," Applied Energy, Elsevier, vol. 279(C).
    13. Fan, Jing-Li & Hu, Jia-Wei & Zhang, Xian, 2019. "Impacts of climate change on electricity demand in China: An empirical estimation based on panel data," Energy, Elsevier, vol. 170(C), pages 880-888.
    14. Zheng, Shuguang & Huang, Guohe & Zhou, Xiong & Zhu, Xiaohang, 2020. "Climate-change impacts on electricity demands at a metropolitan scale: A case study of Guangzhou, China," Applied Energy, Elsevier, vol. 261(C).
    15. Oke, Doris & Mukherjee, Rajib & Sengupta, Debalina & Majozi, Thokozani & El-Halwagi, Mahmoud, 2020. "On the optimization of water-energy nexus in shale gas network under price uncertainties," Energy, Elsevier, vol. 203(C).
    16. Wang, Saige & Chen, Bin, 2021. "Unraveling energy–water nexus paths in urban agglomeration: A case study of Beijing–Tianjin–Hebei," Applied Energy, Elsevier, vol. 304(C).
    17. kianmehr, Ehsan & Nikkhah, Saman & Rabiee, Abbas, 2019. "Multi-objective stochastic model for joint optimal allocation of DG units and network reconfiguration from DG owner’s and DisCo’s perspectives," Renewable Energy, Elsevier, vol. 132(C), pages 471-485.
    18. Obringer, Renee & Mukherjee, Sayanti & Nateghi, Roshanak, 2020. "Evaluating the climate sensitivity of coupled electricity-natural gas demand using a multivariate framework," Applied Energy, Elsevier, vol. 262(C).
    19. Jin, S.W. & Li, Y.P. & Huang, G.H. & Nie, S., 2018. "Analyzing the performance of clean development mechanism for electric power systems under uncertain environment," Renewable Energy, Elsevier, vol. 123(C), pages 382-397.
    20. Giudici, Federico & Castelletti, Andrea & Garofalo, Elisabetta & Giuliani, Matteo & Maier, Holger R., 2019. "Dynamic, multi-objective optimal design and operation of water-energy systems for small, off-grid islands," Applied Energy, Elsevier, vol. 250(C), pages 605-616.
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