Mechanical Engineering Final proyect

DEVELOPMENT OF A BUILDING PERFORMANCE OPTMIZATION TOOL

Modelling-based, automated building performance optimization is still, for the most part, only accessible to experienced researchers and practitioners. This paper describes the main features of an easy to use optimization tool, aimed at both architects and engineers with little or no experience in energy modelling as well as advanced researchers and practitioners.

 The tool is capable of performing global optimization of energy models for typical design variables, single and multiple objectives and with the ability to choose from three different optimization algorithms: genetic algorithms, particle swarm and simulated annealing.

A case study demonstrates usability and effectiveness. It resulted in excellent performance of every algorithm, converging to respectable optimization results after only 300 simulations from over four million possible design alternatives.

 
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