Artificial Neural Networks and Genetic Algorithms in Energy Applications in Buildings
The major objective of this chapter is to illustrate how artificial neural networks (ANNs) and genetic algorithms (GAs) may play an important role in modelling and prediction of the performance of various energy systems in buildings. The chapter initially presents artificial neural
networks and genetic algorithms and outlines an understanding of how they operate by way of presenting a number of problems in the different disciplines of energy applications in buildings including environmental parameters, renewable energy systems, naturally ventilated buildings, energy
consumption and conservation, and HVAC systems. The various applications are presented in a thematic rather than a chronological or any other order. Results presented in this chapter are testimony of the potential of artificial neural networks and genetic algorithms as design tools in many
areas of energy applications in buildings.
Keywords: HVAC systems; artificial neural networks; energy consumption and conservation; environmental parameters; genetic algorithms; naturally ventilated buildings; renewable energy systems
Document Type: Research Article
Publication date: 01 May 2009
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