Journal
ENERGY AND BUILDINGS
Volume 60, Issue -, Pages 355-363Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2013.02.006
Keywords
Air handling unit; Data mining; MLP ensemble; Electromagnetism-like algorithm; Dynamic penalty function
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A data-mining approach is applied to optimize the energy consumption of an air handling unit. A multi-perceptron ensemble algorithm is used to model a chiller, a pump, and the supply and return fans. A non-linear model is developed to minimize the total energy consumption of the air-handling unit while maintaining the temperature of the supply air and the static pressure in a predetermined range. A dynamic, penalty-based, electromagnetism-like algorithm is designed to solve the proposed model. In all, 200 test data points are used to validate the proposed algorithm. The computational results show that the energy consumed by the air-handling unit is reduced by almost 23%. (C) 2013 Elsevier B.V. All rights reserved.
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