A new multi-objective optimization model for an integrated energy system based on life-cycle composite technical, economic and environmental indices

被引:0
|
作者
Han, Zepeng
Han, Wei [1 ]
Song, Xinyang
Lv, Liangguo
Zhang, Na
Sui, Jun
机构
[1] Chinese Acad Sci, Inst Engn Thermophys, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
Integrated energy systems (IES); Life cycle assessment (LCA); Multi-objective optimization; Composite indices; SOLAR-ENERGY; POWER-SYSTEM; EXERGY;
D O I
10.1016/j.enconman.2025.119532
中图分类号
O414.1 [热力学];
学科分类号
摘要
Integrated energy systems offer higher energy, environmental, and economic benefits than conventional separate systems. To comprehensively assess the performance of the integrated energy systems, applying life cycle assessment methods, the life-cycle primary energy saving ratio, renewable energy supply ratio, and electricity supply ratio are aggregated into a composite technical index, the life-cycle carbon dioxide emissions reduction ratio and life-cycle sulfur dioxide emissions reduction ratio are aggregated into a composite environmental index, and the life-cycle annual total costs and life-cycle annual costs saving ratio are aggregated into a composite economic index to fully assess the economic, technical, and environmental performances of the system. A new multi-objective optimization model is constructed with composite technical, economic, and environmental indices as objective functions. Optimization results indicate that under the optimal configuration, the composite technical, economic, and environmental indices of the system reach 0.894, 0.909, and 0.915. Compared to the reference system, the highest life-cycle primary energy saving ratio, life-cycle annual costs saving ratio, life-cycle carbon dioxide emissions reduction ratio, and life-cycle sulfur dioxide emissions reduction ratio are 31.20 %, 22.13 %, 52.70 %, and 88.90 %, respectively. The lowest life-cycle annual total costs are 67750.47 $, and the highest renewable energy supply ratio and electricity supply ratio are 59.22 % and 91.70 %, respectively. The multi-objective optimization model presented in this work offers a different viewpoint for comprehensively evaluating the technical, economic, and environmental performances of the integrated energy systems, which is predicted to guide the design of the integrated energy systems.
引用
收藏
页数:21
相关论文
共 50 条
  • [31] Multi-objective building envelope optimization for life-cycle cost and global warming potential
    Flager, F.
    Basbagill, J.
    Lepech, M.
    Fischer, M.
    EWORK AND EBUSINESS IN ARCHITECTURE, ENGINEERING AND CONSTRUCTION, 2012, : 193 - 200
  • [32] Multi-Objective Optimized Operation of Integrated Energy System Based on Economic and Exergy Analysis
    Li, Yongling
    Zhang, Mi
    Qiu, Chunhua
    Shen, Pengyu
    Gao, Peng
    Huang, Yu
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 1012 - 1017
  • [33] Multi-objective optimization integrated with life cycle assessment for rainwater harvesting systems
    Li, Yi
    Huang, Youyi
    Ye, Quanliang
    Zhang, Wenlong
    Meng, Fangang
    Zhang, Shanxue
    JOURNAL OF HYDROLOGY, 2018, 558 : 659 - 666
  • [34] A New Multi-objective Particle Swarm Optimization for Economic Environmental Dispatch
    Bilil, Hasnae
    Ellaia, Rachid
    Maaroufi, Mohamed
    PROCEEDINGS OF 2012 INTERNATIONAL CONFERENCE ON COMPLEX SYSTEMS (ICCS12), 2012, : 75 - 80
  • [35] Multi-objective optimization of building envelope design for life cycle environmental performance
    Azari, Rahman
    Garshasbi, Samira
    Amini, Pegah
    Rashed-Ali, Hazem
    Mohammadi, Yousef
    ENERGY AND BUILDINGS, 2016, 126 : 524 - 534
  • [36] Multi-objective optimization of series system for heat recovery: Technical and economic tradeoff
    Shi, Yuqi
    Li, Fei
    JOURNAL OF CLEANER PRODUCTION, 2022, 367
  • [37] Multi-Objective Optimization Scheduling of Integrated Energy System Based on Operational Characteristics Clustering
    Ma, Guangchao
    Yan, Ning
    Wang, Mingqiang
    Li, Xiangjun
    Ma, Shaohua
    IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2024, 34 (08)
  • [38] Thermoeconomic multi-objective optimization of a novel biomass-based integrated energy system
    Ahmadi, Pouria
    Dincer, Ibrahim
    Rosen, Marc A.
    ENERGY, 2014, 68 : 958 - 970
  • [39] Multi-Objective Robust Optimization of Integrated Energy System with Hydrogen Energy Storage
    Zhao, Yuyang
    Wei, Yifan
    Zhang, Shuaiqi
    Guo, Yingjun
    Sun, Hexu
    ENERGIES, 2024, 17 (05)
  • [40] Multi-objective optimization and life cycle assessment of mass-integrated combined heat and power system
    Yang, Jiawen
    Li, Chengyun
    Teng, Junfeng
    Zhang, Yikun
    Wang, Yi
    Hou, Yan
    Xia, Li
    Sun, Xiaoyan
    Wang, Lili
    Xiang, Shuguang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 951