火用
可用能
多目标优化
有机朗肯循环
投资回收期
生命周期评估
工艺工程
环境科学
发电
环境经济学
工程类
生产(经济)
数学优化
经济
功率(物理)
数学
热力学
物理
宏观经济学
作者
Tian Zhou,Jiayu Liu,Jingyuan Liu,Jingzheng Ren,Shangwu Ding,Sheng Yang
标识
DOI:10.1016/j.applthermaleng.2023.120142
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI