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Operational optimization of wastewater reuse integrated energy system

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  • Wang, Yongli
  • Li, Jiapu
  • Wang, Shuo
  • Yang, Jiale
  • Qi, Chengyuan
  • Guo, Hongzhen
  • Liu, Ximei
  • Zhang, Hongqing

Abstract

With the rush in global energy demand and the popularization of renewable energy utilization, the integrated energy system has been rapidly developed, and there have been diverse comprehensive energy resources, which includes wind energy, solar energy, sewage etc. In order to improve the comprehensive energy utilization efficiency of energy systems with sewage resources, this paper proposes an integrated energy system of wastewater reuse and an optimal operation model of it. Firstly, this paper proposes an integrated energy system operation control strategy based on sewage source heat pump and biogas trigeneration energy production. Secondly, the genetic algorithm model with the objective function of comprehensive energy utilization efficiency and economic operation cost is established. Finally, this paper adopts a sewage treatment system area as the simulation target to carry out the simulation analysis of wastewater reuse integrated energy system (WRIES) operation, and constructs an operation optimization scheduling scheme. Simulation results show that compared with no optimization, the operating cost of the system can be reduced more than 9%, and the renewable energy utilization rate can be increased more than 5%. After the thermoelectric ratio adjustment, the results of system operation optimization can be further improved.

Suggested Citation

  • Wang, Yongli & Li, Jiapu & Wang, Shuo & Yang, Jiale & Qi, Chengyuan & Guo, Hongzhen & Liu, Ximei & Zhang, Hongqing, 2020. "Operational optimization of wastewater reuse integrated energy system," Energy, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:energy:v:200:y:2020:i:c:s0360544220304163
    DOI: 10.1016/j.energy.2020.117309
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    as
    1. Popovski, Eftim & Aydemir, Ali & Fleiter, Tobias & Bellstädt, Daniel & Büchele, Richard & Steinbach, Jan, 2019. "The role and costs of large-scale heat pumps in decarbonising existing district heating networks – A case study for the city of Herten in Germany," Energy, Elsevier, vol. 180(C), pages 918-933.
    2. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
    3. Sahu, Bikash Kumar, 2018. "Wind energy developments and policies in China: A short review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1393-1405.
    4. Mathiesen, Brian Vad & Lund, Henrik & Karlsson, Kenneth, 2011. "100% Renewable energy systems, climate mitigation and economic growth," Applied Energy, Elsevier, vol. 88(2), pages 488-501, February.
    5. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2011. "The first step towards a 100% renewable energy-system for Ireland," Applied Energy, Elsevier, vol. 88(2), pages 502-507, February.
    6. Guo, Xiaofeng & Hendel, Martin, 2018. "Urban water networks as an alternative source for district heating and emergency heat-wave cooling," Energy, Elsevier, vol. 145(C), pages 79-87.
    7. Liu, Jian & Cheng, Wen-Long & Nian, Yong-Le, 2018. "The stratigraphic and operating parameters influence on economic analysis for enhanced geothermal double wells utilization system," Energy, Elsevier, vol. 159(C), pages 264-276.
    8. Qin, Xin & Sun, Hongbin & Shen, Xinwei & Guo, Ye & Guo, Qinglai & Xia, Tian, 2019. "A generalized quasi-dynamic model for electric-heat coupling integrated energy system with distributed energy resources," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    9. Mathiesen, B.V. & Lund, H. & Connolly, D. & Wenzel, H. & Østergaard, P.A. & Möller, B. & Nielsen, S. & Ridjan, I. & Karnøe, P. & Sperling, K. & Hvelplund, F.K., 2015. "Smart Energy Systems for coherent 100% renewable energy and transport solutions," Applied Energy, Elsevier, vol. 145(C), pages 139-154.
    10. Mehdizadeh, Ali & Taghizadegan, Navid & Salehi, Javad, 2018. "Risk-based energy management of renewable-based microgrid using information gap decision theory in the presence of peak load management," Applied Energy, Elsevier, vol. 211(C), pages 617-630.
    11. Münster, Marie & Meibom, Peter, 2011. "Optimization of use of waste in the future energy system," Energy, Elsevier, vol. 36(3), pages 1612-1622.
    12. Bo Tang & Gangfeng Gao & Xiangwu Xia & Xiu Yang, 2018. "Integrated Energy System Configuration Optimization for Multi-Zone Heat-Supply Network Interaction," Energies, MDPI, vol. 11(11), pages 1-18, November.
    13. Wang, Yongli & Huang, Yujing & Wang, Yudong & Zeng, Ming & Yu, Haiyang & Li, Fang & Zhang, Fuli, 2018. "Optimal scheduling of the RIES considering time-based demand response programs with energy price," Energy, Elsevier, vol. 164(C), pages 773-793.
    14. Dariush Khezrimotlagh & Yao Chen, 2018. "The Optimization Approach," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 107-134, Springer.
    15. Zhou, Yizhou & Wei, Zhinong & Sun, Guoqiang & Cheung, Kwok W. & Zang, Haixiang & Chen, Sheng, 2018. "A robust optimization approach for integrated community energy system in energy and ancillary service markets," Energy, Elsevier, vol. 148(C), pages 1-15.
    Full references (including those not matched with items on IDEAS)

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