Abstract
Heating, ventilating and air-conditioning (HVAC) systems are typical non-linear time-variable multivariate systems with disturbances and uncertainties. In this paper, an approach based on a combined neuro-fuzzy model for dynamic and automatic regulation of indoor temperature is proposed. The proposed artificial neural network performs indoor temperatures forecasts that are used to feed a fuzzy logic control unit in order to manage the on/off switching of the HVAC system and the regulation of the inlet air speed. Moreover, the used neural network is optimized by the analytical calculation of the embedding parameters, and the goodness of this approach is tested through MATLAB. The fuzzy controller is driven by the indoor temperature forecasted by the neural network module and is able to adjust the membership functions dynamically, since thermal comfort is a very subjective factor and may vary even in the same subject. The paper shows some experimental results, through a real implementation in an embedded prototyping board, of the proposed approach in terms of the evolution of the inlet air speed injected by the fan coils, the indoor air temperature forecasted by the neural network model and the adjusting of the membership functions after receiving user feedback.
Highlights
In the few last years, the scientific community has carried out some works finalized to improve indoor environmental quality (IEQ) in order to ensure the health and the comfort of the occupants inside a building
The proposed fuzzy logic controller (FLC), based on the indoor temperature values forecasted by the NNARX model and on the temperature detected in the room by the data logger, dynamically determines the ON/OFF time and the inlet air speed of the HVAC system
An application of a combined neuro-fuzzy model for the dynamic and automatic regulation of indoor temperature has been presented in order to meet the requirements of thermal comfort
Summary
In the few last years, the scientific community has carried out some works finalized to improve indoor environmental quality (IEQ) in order to ensure the health and the comfort of the occupants inside a building. The IEQ refers to the building performance in providing an indoor environment to its occupants that meets the expectations of maintaining the occupants’ health, well-being and productivity [1]. The lifestyle of modern society leads to spending much time in indoor environments (offices, houses, rooms for games and sports, and many more). For this reason, the indoor quality of the air is considered an important well-being factor. A poor indoor comfort has negative effects, both on users and on buildings’ energy efficiency [2,3]
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