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
  • [21] Holistic energy system modeling combining multi-objective optimization and life cycle assessment
    Rauner, Sebastian
    Budzinski, Maik
    ENVIRONMENTAL RESEARCH LETTERS, 2017, 12 (12):
  • [22] Multi-objective techno-economic optimization of a solar based integrated energy system using various optimization methods
    Keshavarzzadeh, Amir Hassan
    Ahmadi, Pouria
    ENERGY CONVERSION AND MANAGEMENT, 2019, 196 : 196 - 210
  • [23] Multi-objective Optimization of Integrated Energy System Based on Weighted Fuzzy Algorithm
    Sun, Zhihao
    Wang, Ruiqi
    Lu, Jun
    Guo, Guanghua
    Fan, Yunpeng
    Li, Ke
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 5782 - 5787
  • [24] Multi-objective sustainability optimization of a solar-based integrated energy system
    Han, Zepeng
    Han, Wei
    Ye, Yiyin
    Sui, Jun
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2024, 202
  • [25] Multi-objective optimization design of regional integrated energy system
    Li, Xueliang
    Wu, Kuihua
    Qi, Lujie
    Cui, Can
    Liu, Dunnan
    Li, Chen
    2020 6TH INTERNATIONAL CONFERENCE ON ENERGY MATERIALS AND ENVIRONMENT ENGINEERING, 2020, 508
  • [26] Life cycle cost and life cycle energy in zero-energy building by multi-objective optimization
    She, Chen
    Jia, Rui
    Hu, Bei-Ning
    Zheng, Ze-Kun
    Xu, Yi-Peng
    Rodriguez, Dragan
    ENERGY REPORTS, 2021, 7 : 5612 - 5626
  • [27] Multi-Objective Reliability-Based Optimization of Life-Cycle Maintenance for Bridges under Cost Uncertainty
    Montazeri, Niloofar
    Touran, Ali
    CONSTRUCTION RESEARCH CONGRESS 2018: SUSTAINABLE DESIGN AND CONSTRUCTION AND EDUCATION, 2018, : 440 - 449
  • [28] A multi-objective optimization model for determining the building design and occupant behaviors based on energy, economic, and environmental performance
    Hong, Taehoon
    Kim, Jimin
    Lee, Minhyun
    ENERGY, 2019, 174 : 823 - 834
  • [29] An integrated life cycle multi-objective optimization model for health-environment-economic nexus in food waste management sector
    Lin, Zuchao
    Ooi, Jun Keat
    Woon, Kok Sin
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 816
  • [30] A life cycle multi-objective economic and environmental assessment of distributed generation in buildings
    Safaei, Amir
    Freire, Fausto
    Antunes, Carlos Henggeler
    ENERGY CONVERSION AND MANAGEMENT, 2015, 97 : 420 - 427