Optimum selection of ORC working fluid using multi-level fuzzy optimization and non-structural fuzzy decision

doi:10.11949/j.issn.0438-1157.20140855

CIESC Journal ›› 2015, Vol. 66 ›› Issue (3): 1051-1058.DOI: 10.11949/j.issn.0438-1157.20140855

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Optimum selection of ORC working fluid using multi-level fuzzy optimization and non-structural fuzzy decision

XU Junjun¹, LUO Xianglong¹, WANG Yongzhen¹, ZHU Qiannan¹, CHEN Ying¹, MO Songping¹, HUANG Hongyu²

1 School of Material and Energy, Guangdong University of Technology, Guangzhou 510006, Guangdong, China;
2 Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510650, Guangdong, China

Received:2014-06-06 Revised:2014-12-03 Online:2015-03-05 Published:2015-03-05
Supported by:
supported by the National Natural Science Foundation of China (51476037) and the Guangzhou Pearl River Technology Star Project (2013J2200096).

ORC工质选择的多级非结构性模糊决策分析

许俊俊¹, 罗向龙¹, 王永真¹, 朱倩南¹, 陈颖¹, 莫松平¹, 黄宏宇²

1 广东工业大学材料与能源学院, 广东广州 510006;
2 中国科学院广州能源研究所, 广东广州 510650

通讯作者: 罗向龙
基金资助:
国家自然科学基金项目(51476037);广州市珠江科技新星项目(2013J2200096)。

Abstract

Abstract:

Selection of working fluid is one of the key issues in the organic Rankine cycle (ORC) waste-heat power generation technology. Multi-criteria methods for working fluid selection are urgent to be studied. Existing researches are mostly under the constraints of specific thermodynamic and structural conditions. Contradictory findings exist in many studies, because there is no general optimization method for ORC working fluid selection. A method using multi-level fuzzy optimization and non-structural fuzzy decision was developed to solve the problem. Comprehensive considerations of technical,economic performance and environmental protection of ORC systems are presented. Since the factors that influence ORC working fluid selection are multi-level and non-structural,establishment of a three-level fuzzy optimization model to obtain a more satisfactory result is preferable.

Key words: ORC, working fluid selection, multilevel fuzzy optimization, non-structural fuzzy decision, process systems, model, optimal design

摘要：

工质的选择是有机朗肯循环(ORC)系统优化中的关键问题之一。建立了基于多级非结构性模糊决策分析方法的ORC工质优选体系,根据影响因素的非结构性的特点建立三级模糊优选模型,综合考虑ORC系统的技术性能、经济性能和环保性能3方面因素的影响,并针对影响ORC工质优选的因素复杂、确定隶属函数主观因素较强的情况引入非结构性模糊决策法以确定其隶属度与权重。应用此模型对150℃热源条件下某ORC系统进行工质的优选,得到了不同评价级对应的优选工质序列。R123是对应三级评价准则下该ORC系统的最优工质,验证了多级非结构性模糊决策模型在ORC工质优选中的适用性。

关键词: 有机朗肯循环, 工质优选, 多级模糊优化, 非结构性模糊决策, 过程系统, 模型, 优化设计

CLC Number:

TK11⁺5

XU Junjun, LUO Xianglong, WANG Yongzhen, ZHU Qiannan, CHEN Ying, MO Songping, HUANG Hongyu. Optimum selection of ORC working fluid using multi-level fuzzy optimization and non-structural fuzzy decision[J]. CIESC Journal, 2015, 66(3): 1051-1058.

许俊俊, 罗向龙, 王永真, 朱倩南, 陈颖, 莫松平, 黄宏宇. ORC工质选择的多级非结构性模糊决策分析[J]. 化工学报, 2015, 66(3): 1051-1058.

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Optimum selection of ORC working fluid using multi-level fuzzy optimization and non-structural fuzzy decision

ORC工质选择的多级非结构性模糊决策分析

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