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Holistic analysis and optimization of distributed energy system considering different transport characteristics of multi-energy and component efficiency variation

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  • Gou, Xing
  • Chen, Qun
  • Sun, Yong
  • Ma, Huan
  • Li, Bao-Ju

Abstract

Different natures and nonlinear transport characteristics of electric, thermal and gas energies make it so complex for analyzing distributed energy system (DES). Many researches usually ignored nonlinear heat transfer equations of heat exchange devices and assumed constant efficiencies of energy conversion devices to construct a simplified electric-analogy model of DES. This contribution develops a heat current model of thermal system to consider heat transfer constraints and their influences on energy conversion efficiencies, applies a linearized DistFlow model to describe electric power flow in radial distribution power grid, and then offers a holistic multi-energy transport model of whole DES. On this basis, a hierarchical iteration method is developed for system operation optimization under different working conditions. Results show that the proposed method fully reflects the influences of energy transport constraints on efficiencies of energy conversion devices and further the optimal operation strategy of DES. Specifically, under the consideration of time-of-use electric tariff, the heat generation rate of heat pump has a considerable decrease at 4:00 compared with the results without considering efficiencies variations and power transmission constraints. Besides, the total released heat of heat storage device from 10:00 to 18:00 has a 36.53% reduction if ignoring solar collector efficiency variations.

Suggested Citation

  • Gou, Xing & Chen, Qun & Sun, Yong & Ma, Huan & Li, Bao-Ju, 2021. "Holistic analysis and optimization of distributed energy system considering different transport characteristics of multi-energy and component efficiency variation," Energy, Elsevier, vol. 228(C).
  • Handle: RePEc:eee:energy:v:228:y:2021:i:c:s0360544221008355
    DOI: 10.1016/j.energy.2021.120586
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    as
    1. Li, Jinghua & Fang, Jiakun & Zeng, Qing & Chen, Zhe, 2016. "Optimal operation of the integrated electrical and heating systems to accommodate the intermittent renewable sources," Applied Energy, Elsevier, vol. 167(C), pages 244-254.
    2. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    3. von Wirth, Timo & Gislason, Linda & Seidl, Roman, 2018. "Distributed energy systems on a neighborhood scale: Reviewing drivers of and barriers to social acceptance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2618-2628.
    4. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
    5. Soroudi, Alireza & Ehsan, Mehdi, 2010. "A distribution network expansion planning model considering distributed generation options and techo-economical issues," Energy, Elsevier, vol. 35(8), pages 3364-3374.
    6. Yang, Yun & Zhang, Shijie & Xiao, Yunhan, 2015. "An MILP (mixed integer linear programming) model for optimal design of district-scale distributed energy resource systems," Energy, Elsevier, vol. 90(P2), pages 1901-1915.
    7. Calvillo, C.F. & Sánchez-Miralles, A. & Villar, J., 2015. "Assessing low voltage network constraints in distributed energy resources planning," Energy, Elsevier, vol. 84(C), pages 783-793.
    8. Ozgener, Onder, 2010. "Use of solar assisted geothermal heat pump and small wind turbine systems for heating agricultural and residential buildings," Energy, Elsevier, vol. 35(1), pages 262-268.
    9. Zhao, Tian & Min, Yong & Chen, Qun & Hao, Jun-Hong, 2016. "Electrical circuit analogy for analysis and optimization of absorption energy storage systems," Energy, Elsevier, vol. 104(C), pages 171-183.
    10. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2017. "Comprehensive overview of grid interfaced solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 316-332.
    11. Leonard, Matthew D. & Michaelides, Efstathios E., 2018. "Grid-independent residential buildings with renewable energy sources," Energy, Elsevier, vol. 148(C), pages 448-460.
    12. Morvaj, Boran & Evins, Ralph & Carmeliet, Jan, 2016. "Optimising urban energy systems: Simultaneous system sizing, operation and district heating network layout," Energy, Elsevier, vol. 116(P1), pages 619-636.
    13. Han, Jie & Ouyang, Leixin & Xu, Yuzhen & Zeng, Rong & Kang, Shushuo & Zhang, Guoqiang, 2016. "Current status of distributed energy system in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 288-297.
    14. Chen, Qun & Fu, Rong-Huan & Xu, Yun-Chao, 2015. "Electrical circuit analogy for heat transfer analysis and optimization in heat exchanger networks," Applied Energy, Elsevier, vol. 139(C), pages 81-92.
    15. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 258-277.
    16. Pan, Zhaoguang & Guo, Qinglai & Sun, Hongbin, 2017. "Feasible region method based integrated heat and electricity dispatch considering building thermal inertia," Applied Energy, Elsevier, vol. 192(C), pages 395-407.
    17. Verda, Vittorio & Colella, Francesco, 2011. "Primary energy savings through thermal storage in district heating networks," Energy, Elsevier, vol. 36(7), pages 4278-4286.
    18. Yang, Yun & Zhang, Shijie & Xiao, Yunhan, 2015. "Optimal design of distributed energy resource systems coupled with energy distribution networks," Energy, Elsevier, vol. 85(C), pages 433-448.
    19. Luo, Lizi & Wu, Zhi & Gu, Wei & Huang, He & Gao, Song & Han, Jun, 2020. "Coordinated allocation of distributed generation resources and electric vehicle charging stations in distribution systems with vehicle-to-grid interaction," Energy, Elsevier, vol. 192(C).
    20. Wouters, Carmen & Fraga, Eric S. & James, Adrian M., 2015. "An energy integrated, multi-microgrid, MILP (mixed-integer linear programming) approach for residential distributed energy system planning – A South Australian case-study," Energy, Elsevier, vol. 85(C), pages 30-44.
    21. Chen, Qun & Xu, Yun-Chao & Hao, Jun-Hong, 2014. "An optimization method for gas refrigeration cycle based on the combination of both thermodynamics and entransy theory," Applied Energy, Elsevier, vol. 113(C), pages 982-989.
    22. Liu, Xuezhi & Mancarella, Pierluigi, 2016. "Modelling, assessment and Sankey diagrams of integrated electricity-heat-gas networks in multi-vector district energy systems," Applied Energy, Elsevier, vol. 167(C), pages 336-352.
    23. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2007. "A novel model for photovoltaic array performance prediction," Applied Energy, Elsevier, vol. 84(12), pages 1187-1198, December.
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