Abstract
Previous research demonstrated that inferential sensors-based control technology can significantly improve the energy efficiency of space heating systems. However, the performance strongly relies on the accuracy and robustness of the dynamic model upon which the inferential model is built. Traditional methods, such as simplified physical model, adaptive neurofuzzy inferential sensor- (ANFIS-) based model, were developed and tested in this research. In attempt to improve both the accuracy and robustness of inferential model, this study aims to investigate how to improve the performance of inferential sensors using physical-rules-based ANFIS in prediction of the hydraulic system temperature in order to adapt the good power needed in the dwellings. This paper presents the structure of this innovative method. The performance is tested using experimental data and is compared with that of previous methods using three performance measures: RMSE, RMS, and [Formula: see text]. The results show that the physical-rule-based ANFIS inferential model is more accurate and robust. The impact of this improvement on the overall control performance is also discussed.
Highlights
The energy performance of a hydraulic space heating system largely depends on how the boiler is controlled [1]
Liao and Dexter proposed an inferential control scheme that can adjust the temperature set point based on the heating load that is estimated based on three operational variables, which are energy consumption, solar radiation, and outdoor temperature, measureable in the boiler room
These three operational variables are introduced into the adaptive set-point heat exchanger control scheme which is proposed in district heating systems [5]
Summary
The energy performance of a hydraulic space heating system largely depends on how the boiler is controlled [1]. Liao and Dexter proposed an inferential control scheme that can adjust the temperature set point based on the heating load that is estimated based on three operational variables, which are energy consumption, solar radiation, and outdoor temperature, measureable in the boiler room. These three operational variables are introduced into the adaptive set-point heat exchanger control scheme which is proposed in district heating systems [5].
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