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Journal ArticleDOI

Application of the genetic algorithm for optimisation of large solar hot water systems

Mglc Marcel Loomans, +1 more
- 01 May 2002 - 
- Vol. 72, Iss: 5, pp 427-439
TLDR
The sensitivity of the optimum system design to the tap water draw-off and the draw-offs pattern has been determined using the optimisation algorithm.
About
This article is published in Solar Energy.The article was published on 2002-05-01. It has received 46 citations till now. The article focuses on the topics: Systems design & Thermal energy storage.

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Citations
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Journal ArticleDOI

A review of solar thermal technologies

TL;DR: This paper reviews the present day solar thermal technologies and performance analyses of existing designs, mathematical simulation, design and fabrication of innovative designs with suggested improvements have been discussed.
Journal ArticleDOI

Genetic-algorithm based approach to optimize building envelope design for residential buildings

TL;DR: In this article, a simulation optimization tool was developed and applied to optimize building shape and building envelope features to minimize energy use for residential buildings, including wall and roof constructions, foundation types, insulation levels, and window types and areas.
Journal ArticleDOI

Identification of PV solar cells and modules parameters using the genetic algorithms: Application to maximum power extraction

TL;DR: Compared to other methods, this paper finds that the GAs is a very efficient technique to estimate the electrical parameters of PV solar cells and modules.
Journal ArticleDOI

Optimization of Mediterranean building design using genetic algorithms

TL;DR: In this paper, an optimization algorithm that couples pseudo-random optimization techniques, the GA, with a simplified tool for building thermal evaluation (CHEOPS) for the purpose of minimizing the energy consumption of Mediterranean buildings is presented.
Journal ArticleDOI

Determination of design space and optimization of solar water heating systems

TL;DR: In this paper, a methodology is proposed to determine the design space for synthesis, analysis, and optimization of solar water heating systems, which incorporates different design constraints to identify all possible designs or a design space on a collector area vs. storage volume diagram.
References
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Book

Genetic algorithms in search, optimization, and machine learning

TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.

Genetic algorithms in search, optimization and machine learning

TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Journal ArticleDOI

Numerical recipes

Book

Simulated Annealing: Theory and Applications

TL;DR: Performance of the simulated annealing algorithm and the relation with statistical physics and asymptotic convergence results are presented.
Journal ArticleDOI

Chemical laser modeling with genetic algorithms

TL;DR: In this paper, a genetic algorithm technique was used to determine a set of unknown parameters that best matched the Blaze II chemical laser model predictions with experimental data, which can be used as a method to guide experiments to improve chemical laser performance.