Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Control of HVAC systems via scenario-based explicit MPC
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.
Technical University of LuleƄ, Sweden.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2300-2581
Show others and affiliations
2014 (English)In: 2014 IEEE 53rd Annual Conference on Decision and Control (CDC), Institute of Electrical and Electronics Engineers (IEEE), 2014, 5201-5207 p., 7040202Conference paper, Published paper (Refereed)
Abstract [en]

Improving energy efficiency of Heating, Ventilation and Air Conditioning (HVAC) systems is a primary objective for the society. Model Predictive Control (MPC) techniques for HVAC systems have recently received particular attention, since they can naturally account for several factors, such as weather and occupancy forecasts, comfort ranges and actuation constraints. Developing effective MPC based control strategies for HVAC systems is nontrivial, since buildings dynamics are nonlinear and affected by various uncertainties. Further, the complexity of the MPC problem and the burden of on-line computations can lead to difficulties in integrating this scheme into a building management system.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2014. 5201-5207 p., 7040202
Series
Proceedings of the IEEE Conference on Decision and Control, ISSN 0743-1546 ; 2015
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-165780DOI: 10.1109/CDC.2014.7040202ISI: 000370073805060Scopus ID: 2-s2.0-84940423528ISBN: 978-1-4799-7746-8 (print)OAI: oai:DiVA.org:kth-165780DiVA: diva2:808800
Conference
2014 IEEE 53rd Annual Conference on Decision and Control (CDC), 15-17 Dec. 2014, Los Angeles, CA, USA
Funder
Swedish Research CouncilKnut and Alice Wallenberg Foundation
Note

QC 20150430

Available from: 2015-04-29 Created: 2015-04-29 Last updated: 2017-12-12Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Johansson, Karl Henrik

Search in DiVA

By author/editor
Parisio, AlessandraFabietti, LucaVaragnolo, DamianoMolinari, MarcoJohansson, Karl Henrik
By organisation
Automatic ControlACCESS Linnaeus Centre
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 160 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf