Iterative exergoeconomic evaluation and improvement of thermal power plants using fuzzy inference systems

被引：48

作者：

Cziesla, F ^{[1
]}

Tsatsaronis, G ^{[1
]}

机构：

[1] Tech Univ Berlin, Inst Energy Engn, D-10587 Berlin, Germany

来源：

ENERGY CONVERSION AND MANAGEMENT | 2002年 / 43卷 / 9-12期

关键词：

thermal power plants; exergy; exergoeconomics; cost minimization; optimization; fuzz systems; heuristic rules;

D O I：

10.1016/S0196-8904(02)00034-1

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

This paper deals with the increase of cost effectiveness in the design of thermal power plants and presents a combination of the iterative exergoeconomic optimization technique with fuzzy inference systems (FIS). The development of FIS for the iterative exergoeconomic evaluation and improvement of plant components is described. An application to the iterative cost minimization of a simple cogeneration plant is discussed. Several case studies show that the application of fuzzy logic in exergoeconomics is very useful. (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：1537 / 1548

页数：12

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