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Adaptive predictive control of thermo-active building systems (TABS) based on a multiple regression algorithm: First practical test

  • There is a growing trend for the use of thermo-active building systems (TABS) for the heating and cooling of buildings, because these systems are known to be very economical and efficient. However, their control is complicated due to the large thermal inertia, and their parameterization is time-consuming. With conventional TABS-control strategies, the required thermal comfort in buildings canThere is a growing trend for the use of thermo-active building systems (TABS) for the heating and cooling of buildings, because these systems are known to be very economical and efficient. However, their control is complicated due to the large thermal inertia, and their parameterization is time-consuming. With conventional TABS-control strategies, the required thermal comfort in buildings can often not be maintained, particularly if the internal heat sources are suddenly changed. This paper shows measurement results and evaluations of the operation of a novel adaptive and predictive calculation method, based on a multiple linear regression (AMLR) for the control of TABS. The measurement results are compared with the standard TABS strategy. The results show that the electrical pump energy could be reduced by more than 86%. Including the weather adjustment, it could be demonstrated that thermal energy savings of over 41% could be reached. In addition, the thermal comfort could be improved due to the possibility to specify mean room set-point temperatures. With the AMLR, comfort category I of the comfort norms ISO 7730 and DIN EN 15251 are observed in about 95% of occasions. With the standard TABS strategy, only about 24% are within category I. Adaptive predictive control of thermo-active building systems (TABS) based on a multiple regression algorithm: First practical test. Available from: https://www.researchgate.net/publication/305903009_Adaptive_predictive_control_of_thermo-active_building_systems_TABS_based_on_a_multiple_regression_algorithm_First_practical_test [accessed Jul 7, 2017].show moreshow less

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Metadaten
Document Type:Article (reviewed)
Zitierlink: https://opus.hs-offenburg.de/2261
Bibliografische Angaben
Title (English):Adaptive predictive control of thermo-active building systems (TABS) based on a multiple regression algorithm: First practical test
Author:Martin SchmelasStaff MemberORCiDGND, Thomas FeldmannStaff Member, Patrick Wellnitz, Elmar BollinStaff MemberGND
Year of Publication:2016
Publisher:Elsevier
First Page:367
Last Page:377
Parent Title (English):Energy and Buildings
Volume:129
ISSN:0378-7788 (Print)
ISSN:1872-6178 (Online)
DOI:https://doi.org/10.1016/j.enbuild.2016.08.013
Language:English
Inhaltliche Informationen
Institutes:Forschung / INES - Institut für nachhaltige Energiesysteme
Fakultät Maschinenbau und Verfahrenstechnik (M+V)
Institutes:Bibliografie
GND Keyword:Algorithmus; Haustechnik
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt