Optimization of integrated energy system for low-carbon community considering the feasibility and application limitation

被引:15
作者
Li, Ye [1 ]
Liu, Zihan [1 ]
Sang, Yufeng [1 ]
Hu, Jingfan [2 ]
Li, Bojia [3 ]
Zhang, Xinyu [3 ]
Jurasz, Jakub [4 ]
Zheng, Wandong [1 ]
机构
[1] Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300350, Peoples R China
[2] China Railway Design Corp, Tianjin 300308, Peoples R China
[3] China Acad Bldg Res, 30 Beisanhuan Donglu, Beijing 100013, Peoples R China
[4] Wroclaw Univ Sci & Technol, Fac Environm Engn, PL-50370 Wroclaw, Poland
关键词
Integrated energy system; Two-layer co-optimization; Low-carbon community; Renewable energy;
D O I
10.1016/j.apenergy.2023.121528
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Integrated energy system (IES) is characterized by high self-consumption ratio of on-site generated renewable energy, high efficiency of conventional energy utilization and possesses a significant flexibility in its operation. This overall, constitute to the foundation of low-carbon communities. Considering economic and environmental benefits, this paper proposes a two-layer co-optimization model with the upper layer optimizing the IES configuration and the lower layer optimizing IES operation. A community in Beijing is introduced as a case study to analyze the benefits of IES and compared with the conventional energy system. Multiple scenarios are researched, including (a) IES for low-carbon communities with PV roof area limitation, (b) IES for each of the four building types with PV roof area limitation, (c) IES for low-carbon communities without PV roof area limitation. The results indicate that the optimized IES for community can reduce the cost by 25% and CO2 emissions by 32% per year by considering the limitation of roof area for the PV system. Without this constraint, the costs and emissions could be reduced by 20% and 62%, respectively. In addition, IES is more appropriate for office and commercial buildings since their load characteristics allow for load shifting and community-level IES costs and emissions are 8% and 10% lower than building-level due to the complementary of community load. This study provides suggestions for the IES planning and application in low-carbon community.
引用
收藏
页数:19
相关论文
共 31 条
  • [1] A novel multi-objective stochastic risk co-optimization model of a zero-carbon multi-energy system (ZCMES) incorporating energy storage aging model and integrated demand response
    Alabi, Tobi Michael
    Lu, Lin
    Yang, Zaiyue
    [J]. ENERGY, 2021, 226
  • [2] A novel optimal configuration model for a zero-carbon multi-energy system (ZC-MES) integrated with financial constraints
    Alabi, Tobi Michael
    Lu, Lin
    Yang, Zaiyue
    Zhou, Yuekuan
    [J]. SUSTAINABLE ENERGY GRIDS & NETWORKS, 2020, 23
  • [3] [Anonymous], 2009, BREEAM COMM TECHN GU
  • [4] [Anonymous], 2009, LEED 2009 for neighborhood development
  • [5] Dong XX, 2020, IEEE INT CON AUTO SC, P1526, DOI [10.1109/case48305.2020.9216885, 10.1109/CASE48305.2020.9216885]
  • [6] Optimal configuration and operation of multi-energy complementary distributed energy systems
    Guan, Tingting
    Lin, Haiyang
    Sun, Qie
    Wennersten, Ronald
    [J]. CLEANER ENERGY FOR CLEANER CITIES, 2018, 152 : 77 - 82
  • [7] Two-layer co-optimization method for a distributed energy system combining multiple energy storages
    Guo, Jiacheng
    Liu, Zhijian
    Wu, Xuan
    Wu, Di
    Zhang, Shicong
    Yang, Xinyan
    Ge, Hua
    Zhang, Peiwen
    [J]. APPLIED ENERGY, 2022, 322
  • [8] A two-stage optimal planning and design method for combined cooling, heat and power microgrid system
    Guo, Li
    Liu, Wenjian
    Cai, Jiejin
    Hong, Bowen
    Wang, Chengshan
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2013, 74 : 433 - 445
  • [9] Huan Ma, 2020, 2020 5th International Conference on Power and Renewable Energy (ICPRE), P160, DOI 10.1109/ICPRE51194.2020.9233144
  • [10] IBEC, 2007, CASBEE URB DEV TECHN