Title: Fuzzy predictive control of district heating network

Authors: S. Grosswindhager; M. Kozek; Andreas Voigt; Lukas Haffner

Addresses: Institute of Mechanics and Mechatronics, Vienna University of Technology, Wiedner Hauptstr. 8, 1040 Vienna, Austria ' Institute of Mechanics and Mechatronics, Vienna University of Technology, Wiedner Hauptstr. 8, 1040 Vienna, Austria ' VOIGT+WIPP Engineers GmbH, Märzstr. 120, 1150 Vienna, Austria ' VOIGT+WIPP Engineers GmbH, Märzstr. 120, 1150 Vienna, Austria

Abstract: This paper presents a concept for controlling the supply temperature in district heating networks (DHNs) using model predictive control. Due to the inherent non-linearity in the response characteristics caused by varying flow rates the use of fuzzy dynamic matrix control (DMC) is proposed. The fuzzy partitions of the local finite impulse response (FIR) models are constructed by an axis-orthogonal, incremental partitioning scheme. Furthermore, a novel approach for determining future fuzzy trajectory based on heat load forecasts is implemented. It is demonstrated that the fuzzy DMC performs well for the case study considered. In addition, different set point strategies are applied and the results are evaluated with respect to operational costs. In this context it is shown that the trade-off between pumping and heat loss cost plays an important role in minimising overall costs.

Keywords: nonlinear predictive control; district heating systems; fuzzy identification; conditional parametric modelling; dynamic matrix control; fuzzy DMC; temperature control; variable flow rates; heat load forecasting; pumping; heat loss.

DOI: 10.1504/IJMIC.2013.054320

International Journal of Modelling, Identification and Control, 2013 Vol.19 No.2, pp.161 - 170

Published online: 04 Jun 2013 *

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