TY - JOUR
T1 - Energy-exergy-economic-environmental (4E) analysis and multi-objective optimization of a cascade LiBr/H2O refrigeration and Organic Rankine cycle integrated system for power generation
AU - Zhou, Tian
AU - Liu, Jiayu
AU - Liu, Jingyuan
AU - Ren, Jingzheng
AU - Ding, Shijie
AU - Yang, Sheng
N1 - Funding Information:
The research appreciates the National Natural Science Foundation of China (No. 51676209, 22008265, and 52076217), the Natural Science Foundation of Hunan Province (Grant Number: 2020JJ5763, 2022JJ40574), the Fundamental Research Funds for the Central Universities of Central South University (2021zzts0662), and the Collaborative Innovation Center of Building Energy Conservation and Environmental Control.
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/5/5
Y1 - 2023/5/5
N2 - This study aims to propose a comprehensive evaluation index which comprises energy, exergy, economy, and environment (4E) for analyzing the novel cascade LiBr/H2O refrigeration and Organic Rankle cycle integrated system for low-grade residual heat recovery. Life cycle assessment (LCA) is used to evaluate the multi-dimensional environmental performances, and a new index, namely Eco-indicator 16 (EI16) is utilized for aggregating multiple environmental impacts in Recipe 2016 method into a quantitative score. Besides, A multi-objective optimization model using net energy generation (NEG), exergy efficiency (ɛ), annual total cost (ATC), and EI16 as the objectives has been developed for sustainability-oriented optimization of the integrated system. NSGA-II is applied for multi-objective optimization, and multiple decision-making methods are used to select the Pareto solution set and obtain the optimal solution. The results show that the payback time is about 5 years under the world average electricity price and interest rate. The optimal working condition increases NEG by 3.27 times, exergy efficiency by 3.26 times, and the ecological index EI16 decreases by 3.23 times at the expense of increasing the ATC by 26.17 %. The system contributes the most to improving the climate and has significant benefits to human health. This study offers guidance for the 4E analysis of a coupled system operating in low-grade residual heat in a cascade.
AB - This study aims to propose a comprehensive evaluation index which comprises energy, exergy, economy, and environment (4E) for analyzing the novel cascade LiBr/H2O refrigeration and Organic Rankle cycle integrated system for low-grade residual heat recovery. Life cycle assessment (LCA) is used to evaluate the multi-dimensional environmental performances, and a new index, namely Eco-indicator 16 (EI16) is utilized for aggregating multiple environmental impacts in Recipe 2016 method into a quantitative score. Besides, A multi-objective optimization model using net energy generation (NEG), exergy efficiency (ɛ), annual total cost (ATC), and EI16 as the objectives has been developed for sustainability-oriented optimization of the integrated system. NSGA-II is applied for multi-objective optimization, and multiple decision-making methods are used to select the Pareto solution set and obtain the optimal solution. The results show that the payback time is about 5 years under the world average electricity price and interest rate. The optimal working condition increases NEG by 3.27 times, exergy efficiency by 3.26 times, and the ecological index EI16 decreases by 3.23 times at the expense of increasing the ATC by 26.17 %. The system contributes the most to improving the climate and has significant benefits to human health. This study offers guidance for the 4E analysis of a coupled system operating in low-grade residual heat in a cascade.
KW - 4E analysis
KW - LiBr/HO refrigeration
KW - Life cycle assessment
KW - Multi-objective optimization
KW - Organic Rankine cycle
UR - http://www.scopus.com/inward/record.url?scp=85147649354&partnerID=8YFLogxK
U2 - 10.1016/j.applthermaleng.2023.120142
DO - 10.1016/j.applthermaleng.2023.120142
M3 - Journal article
AN - SCOPUS:85147649354
SN - 1359-4311
VL - 225
JO - Applied Thermal Engineering
JF - Applied Thermal Engineering
M1 - 120142
ER -