Implementation of a Scenario-based MPC for HVAC Systems: an Experimental Case Study
2014 (English)In: 19th IFAC World Congress on International Federation of Automatic Control: IFAC 2014, Cape Town, South Africa 24 - 29 August 2014, 2014, 599–605- p.Conference paper (Refereed)
Heating, Ventilation and Air Conditioning (HVAC) systems play a fundamental role in maintaining acceptable thermal comfort and air quality levels. Model Predictive Control (MPC) techniques are known to bring significant energy savings potential. Developing effective MPC-based control strategies for HVAC systems is nontrivial since buildings dynamics are nonlinear and influenced by various uncertainties. This complicates the use of MPC techniques in practice. We propose to address this issue by designing a stochastic MPC strategy that dynamically learns the statistics of the building occupancy patterns and weather conditions. The main advantage of this method is the absence of a-priori assumptions on the distributions of the uncertain variables, and that it can be applied to any type of building. We investigate the practical implementation of the proposed MPC controller on a student laboratory, showing its effectiveness and computational tractability.
Place, publisher, year, edition, pages
2014. 599–605- p.
, IFAC proceedings series, ISSN 0741-1146 ; 47:3
Information technology - Automatic control
Informationsteknik - Reglerteknik
Research subject Control Engineering; Enabling ICT (AERI); Attractive built environment (AERI); Intelligent industrial processes (AERI)
IdentifiersURN: urn:nbn:se:ltu:diva-32276DOI: 10.3182/20140824-6-ZA-1003.02629Local ID: 6b84a4a9-19cf-4840-a429-764a07f393daOAI: oai:DiVA.org:ltu-32276DiVA: diva2:1005510
IFAC World Congress : 25/08/2014 - 29/08/2014
Godkänd; 2014; 20141009 (damvar)2016-09-302016-09-30Bibliographically approved