Exergo-environmental cost optimization of a solar-based cooling and heating system considering equivalent emissions of life-cycle chain

被引:10
|
作者
Chen, Yuzhu [1 ]
Li, Xiuxiu [1 ]
Hua, Huilian [1 ]
Lund, Peter D. [1 ,2 ]
Wang, Jun [1 ]
机构
[1] Southeast Univ, Key Lab Solar Energy Sci & Technol Jiangsu Prov, 2 Si Pai Lou, Nanjing 210096, Peoples R China
[2] Aalto Univ, Sch Sci, POB 15100, FI-00076 Espoo, Finland
基金
中国国家自然科学基金;
关键词
Exergo-environmental cost; Multi-objective optimization; Double-effect absorption heat pump; Life cycle assessment; Specific cost saving ratio; Sensitivity analysis; ENERGY; MODEL; DESIGN;
D O I
10.1016/j.enconman.2022.115534
中图分类号
O414.1 [热力学];
学科分类号
摘要
Solar-driven energy systems can effectively reduce the fossil fuel use and pollutant emissions in the built environment. A solar-based cooling and heating (SCH) system employing solar thermal collectors, photovoltaics, a double-effect absorption heat pump, and an electric boiler/chiller is proposed to meet the energy demand of a community. The system and its components are optimized by simultaneously minimizing the specific exergoenvironmental cooling/heating costs over the life-cycle and maximizing the cost saving ratio. Compared to the conventional exergo-economic and exergo-environmental optimization methods without life-cycle equivalent emissions, the results show that the system resulting from the proposed method has higher specific costs, or, 1.10 $/kWh for cooling and 2.77 $/kWh for heating, and the corresponding cost saving ratio is >0.02%-unit lower. The coefficient of performance of the hybrid system in the cooling and heating modes are 4.5 and 1.04, respectively. The specific heating cost shows the highest sensitivity against parameter changes. Increasing the capacity of the heat storage and price of grid power would increase the cost saving benefit, while increasing other parameters such as investment cost would decrease the saving ratio.
引用
收藏
页数:14
相关论文
共 37 条
  • [1] Exergo-environmental cost optimization of a combined cooling, heating and power system using the emergy concept and equivalent emissions as ecological boundary
    Chen, Yuzhu
    Xu, Jinzhao
    Wang, Jun
    Lund, Peter D.
    [J]. ENERGY, 2021, 233
  • [2] Exergo-environmental cost optimization and thermodynamic analysis for a solar-driven combined heating and power system
    Han, Zepeng
    Han, Wei
    Sui, Jun
    [J]. ENERGY, 2024, 302
  • [3] LIFE CYCLE COST FOR A SOLAR HEATING AND COOLING SYSTEM
    Hang, Yin
    Qu, Ming
    [J]. ES2009: PROCEEDINGS OF THE ASME 3RD INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY, VOL 2, 2009, : 845 - 851
  • [4] Performance investigation of a solar-assisted hybrid combined cooling, heating and power system based on energy, exergy, exergo-economic and exergo-environmental analyses
    Wang, Jiangjiang
    Li, Shuwei
    Zhang, Guoqing
    Yang, Ying
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2019, 196 : 227 - 241
  • [5] Multi-objective optimization of an integrated energy system against energy, supply-demand matching and exergo-environmental cost over the whole life-cycle
    Chen, Yuzhu
    Xu, Zhicheng
    Wang, Jun
    Lund, Peter D.
    Han, Yifeng
    Cheng, Tanghua
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2022, 254
  • [6] Bus fleet replacement optimization considering life-cycle carbon emissions and total cost of ownership
    Shen, Jinxing
    Liu, Qinxin
    Zheng, Changjiang
    Liu, Kun
    Ma, Changxi
    [J]. Journal of Southeast University (English Edition), 2024, 40 (02) : 185 - 192
  • [8] Analysis and Optimization Design of a Solar Water Heating System Based on Life Cycle Cost Using a Genetic Algorithm
    Ko, Myeong Jin
    [J]. Energies, 2015, 8 (10): : 11380 - 11403
  • [9] A novel approach to district heating and cooling network design based on life cycle cost optimization
    Best, Robert E.
    Kalehbasti, P. Rezazadeh
    Lepech, Michael D.
    [J]. ENERGY, 2020, 194
  • [10] Multi-objective optimal design of a solar absorption cooling and heating system under life-cycle uncertainties
    Xu, Donghao
    Qu, Ming
    Hang, Yin
    Zhao, Fu
    [J]. SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2015, 11 : 92 - 105