Optimal Control Strategy for Variable Air Volume Air-Conditioning Systems Using Genetic Algorithms

This study is aimed at developing a real-time optimal control strategy for variable air volume (VAV) air-conditioning in a heating, ventilation, and air-conditioning (HVAC) system using genetic algorithms and a simulated large-scale office building. The two selected control variables are the setting...

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Bibliographic Details
Main Authors: Nam-Chul Seong, Jee-Heon Kim, Wonchang Choi
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/18/5122