Title: Modelling and simulation on temperature and humidity decoupling of indoor environment

Authors: Yalong Yang; Mingyue Wang; Qiansheng Fang; Hao Wu; Wenmiao Wu; Bao Xie

Addresses: School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, 230022, China; Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui Jianzhu University, Hefei, 230022, China ' School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, 230022, China; Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui Jianzhu University, Hefei, 230022, China ' School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, 230022, China; Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui Jianzhu University, Hefei, 230022, China ' Hefei Water Supply Group Co., Ltd, Hefei, 230011, China ' School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, 230022, China; Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui Jianzhu University, Hefei, 230022, China ' School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, 230022, China; Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui Jianzhu University, Hefei, 230022, China

Abstract: An air conditioning system plays an important role in regulating the indoor environment and improving the indoor thermal comfort. However, there exists hysteresis of the temperature and humidity regulating system of an air conditioning system. The coupling between temperature and humidity control circuits leads to more energy consumption of the air conditioning system. To solve this issue, an improved feed-forward decoupling model with Smith predictor was designed. The simulation results indicate that it can eliminate the coupling between temperature and humidity regulating circuits. This model can have less time-delay, decoupling between temperature and humidity control circuits. Compared with the conventional method, this decoupling model with Smith predictor has the advantages of timely dynamic response, quick increasing time and less overshoot.

Keywords: thermal comfort; air conditioning system; Smith predictor; decoupling model; indoor environment; wireless sensor; mathematical model; relative humidity; absolute moisture; energy-saving.

DOI: 10.1504/IJSPM.2017.085578

International Journal of Simulation and Process Modelling, 2017 Vol.12 No.3/4, pp.377 - 387

Received: 04 Feb 2017
Accepted: 20 Apr 2017
Published online: 30 Jul 2017 *

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