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Physics-based modeling and identification for HVAC systems?
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-1927-1690
2013 (English)In: 2013 European Control Conference, ECC 2013, IEEE , 2013, 1404-1409 p.Conference paper, Published paper (Refereed)
Abstract [en]

Heating, ventilation and air conditioning (HVAC) systems are among the largest energy consumers in many buildings. As is known, modeling and identification play important roles in the study of HVAC systems. A good model is very helpful for improving efficiency of the HVAC system. Very recently, a physics-based model of room temperature was proposed. Motivated by this inspiring work, this paper, based on the physical dynamical systems, proposes, identifies and validates three models for CO2 concentration, temperature and humidity of a test-bed room, respectively. Particularly, our models take into account the effect of occupiers, since the indoor air quality (IAQ) is evidently affected by the number of occupiers. A test-bed has been set up for experiments in a laboratory room on KTH campus. Experimental results verify that our proposed method improves the performance of the physics-based linear parametric models.

Place, publisher, year, edition, pages
IEEE , 2013. 1404-1409 p.
Keyword [en]
Energy consumer, Improving efficiency, Indoor air quality, Linear parametric models, Physics-based modeling, Room temperature, Temperature and humidities, Ventilation and air conditioning
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-143576ISI: 000332509701129Scopus ID: 2-s2.0-84893323157ISBN: 978-303303962-9 (print)OAI: oai:DiVA.org:kth-143576DiVA: diva2:708114
Conference
2013 12th European Control Conference, ECC 2013; Zurich; Switzerland; 17 July 2013 through 19 July 2013
Note

QC 20140326

Available from: 2014-03-26 Created: 2014-03-25 Last updated: 2014-04-24Bibliographically approved

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Wahlberg, Bo

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