Journal ArticleDOI
Application of the exergetic cost theory to the CGAM problem
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TLDR
In this article, an optimization strategy for complex thermal systems is presented based on conventional techniques and incorporates assumptions and consequences of the exergetic cost theory (ECT) and of symbolic exergoeconomics.About:
This article is published in Energy.The article was published on 1994-03-01. It has received 149 citations till now.read more
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Journal ArticleDOI
Energy, economy and environment as objectives in multi-criterion optimization of thermal systems design
Andrea Lazzaretto,Andrea Toffolo +1 more
TL;DR: In this paper, a thermal system design can be optimized using energy, economy and environment as separate objectives, and an evolutionary algorithm is used to find the surface of optimal solutions in the space defined by the three objective functions.
Journal ArticleDOI
Evolutionary algorithms for multi-objective energetic and economic optimization in thermal system design
Andrea Toffolo,Andrea Lazzaretto +1 more
TL;DR: In this article, a multi-objective optimization is proposed to find solutions that simultaneously satisfy exergetic and economic objectives in thermal system design, which corresponds to a search for the set of Pareto optimal solutions with respect to the two competing objectives.
Journal ArticleDOI
Exergoenvironmental analysis and optimization of a cogeneration plant system using Multimodal Genetic Algorithm (MGA)
Pouria Ahmadi,Ibrahim Dincer +1 more
TL;DR: In this paper, a combined heat and power plant for cogeneration purposes that produces 50MW of electricity and 33.3 kg/s of saturated steam at 13 bar is optimized using genetic algorithm.
Book
Optimization of Energy Systems
TL;DR: Optimization of Energy Systems comprehensively describes the thermodynamic modelling, analysis and optimization of numerous types of energy systems in various applications for achieving enhanced efficiency, cost effectiveness and sustainability.
References
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Book
Mathematica: A System for Doing Mathematics by Computer
TL;DR: This book will be released simultaneously with Release 2.0 of Mathematica and will cover all the new features of Release 1.0 as mentioned in this paper, including 16 pages of full-color graphics.
Book
Mathematica: a system for doing mathematics by computer (2nd ed.)
TL;DR: This new edition maintains the format of the original book and is the single most important user guide and reference for Mathematica--all users ofMathematica will need this edition.
Journal ArticleDOI
A New Method of Constrained Optimization and a Comparison With Other Methods
TL;DR: A new method for finding the maximum of a general non-linear function of several variables within a constrained region is described, and shown to be efficient compared with existing methods when the required optimum lies on one or more constraints.
Book
Engineering Optimization: Methods and Applications
TL;DR: This book discusses the application of Optimization in Engineering and its applications in Linear Programming, as well as some of the techniques used to design and implement these programs.