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Energies 2016, 9(4), 251; doi:10.3390/en9040251

Optimization of the Heating System Use in Aged Public Buildings via Model Predictive Control

1
Automatic Control Group, Department of Thermal Engineering, University of the Basque Country (UPV/EHU), Bilbao 48013, Spain
2
Automatic Control Group, Department of Automatic Control and Systems Engineering, University of the Basque Country (UPV/EHU), Bilbao 48013, Spain
3
Enedi Research Group, Department of Thermal Engineering, University of the Basque Country (UPV/EHU), Bilbao 48013, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Nyuk Hien Wong
Received: 16 January 2016 / Revised: 16 March 2016 / Accepted: 23 March 2016 / Published: 30 March 2016
(This article belongs to the Special Issue Energy Efficient Building Design 2016)
View Full-Text   |   Download PDF [2641 KB, uploaded 30 March 2016]   |  

Abstract

This work presents the implementation of a Model Predictive Control (MPC) scheme used to study the improvement of the thermal quality in aged residential buildings without any rehabilitation. The controller manages the heating system of an experimentally characterized model of a residential dwelling in a social block built during the decade of the 1960s located in the neighborhood of Otxarkoaga (Bilbao, Spain), so as to obtain an optimal energy efficiency performance. Due to the characteristics of the construction in those days, this kind of buildings suffer problems related to the use of awkward building materials and inefficient heating systems. A comparison with traditionally used ON-OFF hysteresis control is presented in order to demonstrate the energetic improvement provided by the MPC scheme. Besides, the variation of different parameters of the MPC is also studied to determine its influence over the energy consumption and comfort conditions. View Full-Text
Keywords: energy-saving policies; energy efficiency; RC-thermal model; model predictive control; system characterization; thermal comfort energy-saving policies; energy efficiency; RC-thermal model; model predictive control; system characterization; thermal comfort
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Carrascal, E.; Garrido, I.; Garrido, A.J.; Sala, J.M. Optimization of the Heating System Use in Aged Public Buildings via Model Predictive Control. Energies 2016, 9, 251.

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