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Energy-water-carbon nexus system planning: A case study of Yangtze River Delta urban agglomeration, China

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  • Liang, M.S.
  • Huang, G.H.
  • Chen, J.P.
  • Li, Y.P.

Abstract

In this study, a chance-constrained fractional programming model is developed for energy-water-carbon nexus systems in Yangtze River Delta urban agglomeration, China. The developed model can tackle the ratio objectives and multiple uncertainties expressed as interval numbers and probability distributions, and provide desired decision alternatives under different constraint-violation levels. Then, the developed model is applied to the strategic planning of the energy-water-carbon nexus system in Yangtze River Delta urban agglomeration for addressing issues of energy-related water resource shortage and carbon emission reduction. Two different development patterns are designed in this strategic planning. One is to maximize the renewable electricity generation per unit of system cost corresponding to the system efficiency-oriented development pattern, while the other is to minimize the total system cost with respect to the economic benefit-oriented development pattern. The obtained comparative results show that the energy-water-carbon nexus system under the system efficiency-oriented development pattern would increase 21.71% of renewable electricity generation and 16.29% of system efficiency, save 8.95% of water resource, reduce 14.61% of carbon emission, but increase 4.07% of imported electricity and 7.85% of system cost over the planning horizon. These findings can provide profound solutions and insights for decision makers considering different policy implications. The application to Yangtze River Delta urban agglomeration energy-water-carbon nexus system shows the practicability of the extension to other regions under severe situations of energy supply limitation, water resource shortage and carbon emission reduction.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:308:y:2022:i:c:s0306261921014203
    DOI: 10.1016/j.apenergy.2021.118144
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    as
    1. Liu, Zhenkun & Jiang, Ping & Zhang, Lifang & Niu, Xinsong, 2020. "A combined forecasting model for time series: Application to short-term wind speed forecasting," Applied Energy, Elsevier, vol. 259(C).
    2. Zhu, H. & Huang, W.W. & Huang, G.H., 2014. "Planning of regional energy systems: An inexact mixed-integer fractional programming model," Applied Energy, Elsevier, vol. 113(C), pages 500-514.
    3. 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.
    4. Li, G.C. & Huang, G.H. & Sun, W. & Ding, X.W., 2014. "An inexact optimization model for energy-environment systems management in the mixed fuzzy, dual-interval and stochastic environment," Renewable Energy, Elsevier, vol. 64(C), pages 153-163.
    5. Ding, Xiaowen & Tian, Wei & Chen, Qingwei & Wei, Guoliang, 2019. "Policies on water resources assessment of coastal nuclear power plants in China," Energy Policy, Elsevier, vol. 128(C), pages 170-178.
    6. Xie, Y.L. & Huang, G.H. & Li, W. & Ji, L., 2014. "Carbon and air pollutants constrained energy planning for clean power generation with a robust optimization model—A case study of Jining City, China," Applied Energy, Elsevier, vol. 136(C), pages 150-167.
    7. Wang, Saige & Fath, Brian & Chen, Bin, 2019. "Energy–water nexus under energy mix scenarios using input–output and ecological network analyses," Applied Energy, Elsevier, vol. 233, pages 827-839.
    8. Tan, Qinliang & Ding, Yihong & Ye, Qi & Mei, Shufan & Zhang, Yimei & Wei, Yongmei, 2019. "Optimization and evaluation of a dispatch model for an integrated wind-photovoltaic-thermal power system based on dynamic carbon emissions trading," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Zhu, Yuli & Liang, Ji & Yang, Qing & Zhou, Hewen & Peng, Kun, 2019. "Water use of a biomass direct-combustion power generation system in China: A combination of life cycle assessment and water footprint analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    10. 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.
    11. Yang, Xuechun & Wang, Yutao & Sun, Mingxing & Wang, Renqing & Zheng, Peiming, 2018. "Exploring the environmental pressures in urban sectors: An energy-water-carbon nexus perspective," Applied Energy, Elsevier, vol. 228(C), pages 2298-2307.
    12. Lv, J. & Li, Y.P. & Huang, G.H. & Suo, C. & Mei, H. & Li, Y., 2020. "Quantifying the impact of water availability on China's energy system under uncertainties: A perceptive of energy-water nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    13. Shan, Yuli & Liu, Jianghua & Liu, Zhu & Xu, Xinwanghao & Shao, Shuai & Wang, Peng & Guan, Dabo, 2016. "New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors," Applied Energy, Elsevier, vol. 184(C), pages 742-750.
    14. Huang, G. H., 1998. "A hybrid inexact-stochastic water management model," European Journal of Operational Research, Elsevier, vol. 107(1), pages 137-158, May.
    15. Dai, Jiangyu & Wu, Shiqiang & Han, Guoyi & Weinberg, Josh & Xie, Xinghua & Wu, Xiufeng & Song, Xingqiang & Jia, Benyou & Xue, Wanyun & Yang, Qianqian, 2018. "Water-energy nexus: A review of methods and tools for macro-assessment," Applied Energy, Elsevier, vol. 210(C), pages 393-408.
    16. Zhang, X.Y. & Huang, G.H. & Zhu, H. & Li, Y.P., 2017. "A fuzzy-stochastic power system planning model: Reflection of dual objectives and dual uncertainties," Energy, Elsevier, vol. 123(C), pages 664-676.
    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. Lei, Yang & Wang, Dan & Jia, Hongjie & Chen, Jingcheng & Li, Jingru & Song, Yi & Li, Jiaxi, 2020. "Multi-objective stochastic expansion planning based on multi-dimensional correlation scenario generation method for regional integrated energy system integrated renewable energy," Applied Energy, Elsevier, vol. 276(C).
    19. A. Charnes & W. W. Cooper, 1962. "Programming with linear fractional functionals," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 9(3‐4), pages 181-186, September.
    20. Suo, C. & Li, Y.P. & Mei, H. & Lv, J. & Sun, J. & Nie, S., 2021. "Towards sustainability for China's energy system through developing an energy-climate-water nexus model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    21. Terlouw, Tom & AlSkaif, Tarek & Bauer, Christian & van Sark, Wilfried, 2019. "Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies," Applied Energy, Elsevier, vol. 239(C), pages 356-372.
    22. Prina, Matteo Giacomo & Casalicchio, Valeria & Kaldemeyer, Cord & Manzolini, Giampaolo & Moser, David & Wanitschke, Alexander & Sparber, Wolfram, 2020. "Multi-objective investment optimization for energy system models in high temporal and spatial resolution," Applied Energy, Elsevier, vol. 264(C).
    23. 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.
    24. Nanduri, Vishnu & Saavedra-Antolínez, Ivan, 2013. "A competitive Markov decision process model for the energy–water–climate change nexus," Applied Energy, Elsevier, vol. 111(C), pages 186-198.
    25. 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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