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A chance-constrained urban agglomeration energy model for cooperative carbon emission management

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  • Cao, R.
  • Huang, G.H.
  • Chen, J.P.
  • Li, Y.P.
  • He, C.Y.

Abstract

The impacts of climate change need to be mitigated by controlling the emissions of carbon dioxide. The restriction of carbon dioxide emissions will limit fossil-fuel-fired electricity and affect water consumption in energy-related industries. In this study, a chance-constrained urban agglomeration energy model is developed to plan a cooperative energy-water nexus system with carbon dioxide emission constraints at the regional scale. The model can not only reflect uncertainties expressed as random variables and interval values but also manage energy-water nexus systems under cooperation mechanism effectively. The model is applied to the Guangzhou-Shenzhen-Dongguan region, wherein two scenarios with/without cooperative carbon dioxide emission strategies under different water resource risks are analyzed. Results reveal that the system cost of the study region would decrease under the cooperative carbon dioxide emission strategy. Compared with the case without mitigation cooperation, the cost of those with cooperation would reduce by [4.3, 4.8] % (with 6.2% more carbon dioxide emission) in Shenzhen. The results also demonstrate that water consumption would increase as constraint-violation level decreases from 0.2 to 0. The developed model is efficient for facilitating regional dynamic analyses of carbon dioxide emission mitigation and the associated economic cost under different policy scenarios and system risks.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:223:y:2021:i:c:s0360544221001341
    DOI: 10.1016/j.energy.2021.119885
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    as
    1. 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.
    2. Hu, Hui & Xie, Nan & Fang, Debin & Zhang, Xiaoling, 2018. "The role of renewable energy consumption and commercial services trade in carbon dioxide reduction: Evidence from 25 developing countries," Applied Energy, Elsevier, vol. 211(C), pages 1229-1244.
    3. 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.
    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. Wiesberg, Igor Lapenda & Brigagão, George Victor & Araújo, Ofélia de Queiroz F. & de Medeiros, José Luiz, 2019. "Carbon dioxide management via exergy-based sustainability assessment: Carbon Capture and Storage versus conversion to methanol," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 720-732.
    6. Cui, Duo & Deng, Zhu & Liu, Zhu, 2019. "China’s non-fossil fuel CO2 emissions from industrial processes," Applied Energy, Elsevier, vol. 254(C).
    7. Zeng, X.T. & Zhang, J.L. & Yu, L. & Zhu, J.X. & Li, Z. & Tang, L., 2019. "A sustainable water-food-energy plan to confront climatic and socioeconomic changes using simulation-optimization approach," Applied Energy, Elsevier, vol. 236(C), pages 743-759.
    8. Munguía-López, Aurora del Carmen & González-Bravo, Ramón & Ponce-Ortega, José María, 2019. "Evaluation of carbon and water policies in the optimization of water distribution networks involving power-desalination plants," Applied Energy, Elsevier, vol. 236(C), pages 927-936.
    9. Liu, Junling & Wang, Ke & Zou, Ji & Kong, Ying, 2019. "The implications of coal consumption in the power sector for China’s CO2 peaking target," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Cai, Mengting & Huang, Guohe & Chen, Jiapei & Li, Yunhuan & Fan, Yurui, 2018. "A generalized fuzzy chance-constrained energy systems planning model for Guangzhou, China," Energy, Elsevier, vol. 165(PA), pages 191-204.
    15. Chen, J.P. & Huang, G. & Baetz, B.W. & Lin, Q.G. & Dong, C. & Cai, Y.P., 2018. "Integrated inexact energy systems planning under climate change: A case study of Yukon Territory, Canada," Applied Energy, Elsevier, vol. 229(C), pages 493-504.
    16. Guo, Zheng & Cheng, Rui & Xu, Zhaofeng & Liu, Pei & Wang, Zhe & Li, Zheng & Jones, Ian & Sun, Yong, 2017. "A multi-region load dispatch model for the long-term optimum planning of China’s electricity sector," Applied Energy, Elsevier, vol. 185(P1), pages 556-572.
    17. J.-F. Mercure & H. Pollitt & J. E. Viñuales & N. R. Edwards & P. B. Holden & U. Chewpreecha & P. Salas & I. Sognnaes & A. Lam & F. Knobloch, 2018. "Macroeconomic impact of stranded fossil fuel assets," Nature Climate Change, Nature, vol. 8(7), pages 588-593, July.
    18. Lei Gao & Brett A. Bryan, 2017. "Finding pathways to national-scale land-sector sustainability," Nature, Nature, vol. 544(7649), pages 217-222, April.
    19. 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.
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    Cited by:

    1. Kılkış, Şiir, 2022. "Urban emissions and land use efficiency scenarios towards effective climate mitigation in urban systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    2. 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).
    3. Zhu, Y. & Wei, Z. & Li, Y.X. & Du, H.X. & Guo, Y., 2022. "Energy and atmosphere system planning of coal-dependent cities based on an interval minimax-regret coupled joint-probabilistic cost-benefit approach," Energy, Elsevier, vol. 239(PB).

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