HVAC system modeling and control methods: a review and case study

Document Type : Original Article

Authors

1 Department of Electrical Engineering, Bu-Ali Sina University, Mahdieh St., 65178-38695, Hamedan, Iran

2 Basra University for Oil and Gas, Garmat Ali Campus, 61004 Basra, Iraq

10.22109/jemt.2022.298902.1324

Abstract

Improvement of air quality and provision of the residents’ comfort in different buildings are the main tasks of HVAC (heating, ventilating, and air conditioning) systems. A large number of control methods have been applied to HVAC systems to adjust the indoor temperature in buildings and, at the same time minimizing energy consumption to be reflected in minimizing energy cost, furthermore, it reduces the peak load of the power grid, and provide ancillary services such as frequency regulation. This paper reviews different techniques proposed for modeling HVAC systems. Moreover, it provides a comprehensive review of HVAC system control methods, categorizes them, and then extracts their advantages, disadvantages, and main features. Furthermore, an HVAC system model is proposed and compared to the RLF (residential load factor) model with and without the Takagi-Sugeno Fuzzy (TSF) controller, which is applied to control the proposed and RLF HVACs. The results of the proposed HVAC model and the complete RLF model are compared from different aspects. The results demonstrate the efficiency and robustness of the proposed model. The energy consumption of the proposed HVAC system and RLF models, by applying TSF controller along a day are evaluated. The results show that the proposed HVAC system model is saving energy around 10.06% when compared with the RLF model.

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Volume 6, Issue 4 - Serial Number 4
December 2022
Pages 217-231
  • Receive Date: 09 August 2021
  • Revise Date: 24 November 2021
  • Accept Date: 30 May 2022
  • First Publish Date: 16 June 2022