A parametric building energy cost optimization tool based on a genetic algorithm

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Title: A parametric building energy cost optimization tool based on a genetic algorithm
Author: Tan, Xiaowei
Abstract: This record of study summarizes the work accomplished during the internship at the Energy Systems Laboratory of the Texas Engineering Experiment Station . The internship project was to develop a tool to optimize the building parameters so that the overall building energy cost is minimized . A metaheuristic : genetic algorithm was identified as the solution algorithm and was implemented in the problem under study . Through two case studies , the impacts of the three genetic algorithm parameters , namely population size , crossover and mutation rates , on the algorithm's overall performance are also studied through statistical tests . Through these statistical tests , the optimum combination of above the mentioned parameters is also identified and applied . Finally , a performance analysis based on the case studies show that the tool achieved satisfactory results .
URI: http : / /hdl .handle .net /1969 .1 /5744
Date: 2007-09-17

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A parametric building energy cost optimization tool based on a genetic algorithm. Available electronically from http : / /hdl .handle .net /1969 .1 /5744 .

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