期刊
ENERGY CONVERSION AND MANAGEMENT
卷 198, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2019.111830
关键词
Exergoeconomic analysis; Exergoenvironmental analysis; Exergorisk analysis; Multi-criteria decision making; Smart energy management; Weighted multi-objective optimization
资金
- National Research Foundation (NRF) - Korean government (MSIT) [NRF-2017R1E1A1A03070713]
- Korea Ministry of Environment (MOE)
A novel smart management approach is proposed for optimization, management, and analysis of integrated energy systems considering contemporary economic, safety, and environmental policies referred to as 3M methodology. Accordingly, three key scenarios are defined including an urban plant application (S-I), a domestic economic growth policy (S-II), and a sustainable development plan (S-III). The proposed systems are globally optimized considering exergoeconomic, exergorisk, and exergoenvironmental analyses using a weighted multi-objective optimization in accordance with the circumstances of S-I, and S-III. Subsequently, a suitable optimal system is selected using a hybrid deterministic fuzzy-TOPSIS approach among optimal configurations, and the best working fluid is allocated via system-based multi-scale management. The MGS allocating R718, R141b, R123, R142b, and R365mfc had smaller total environmental impact rate, smaller total cost rate, lower heat losses, and lower consumption of cold utility in all scenarios compared to the CGS. In turn, the CGS allocating R718 had the smallest total specific risk (0.602 injury.MJ(-1)) in the S-I than the MGS (0.811 injury.MJ(-1)). However, the MGS allocating R123 had a lower consumption of cold utility in the S-II (3.92 MW) and S-III (3.90 MW).
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据