Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Implementation of a Scenario-based MPC for HVAC Systems: an Experimental Case Study
School of Electrical Engineering, KTH Royal Institute of Technology.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-4310-7938
Kungliga tekniska högskolan, KTH.
Kungliga tekniska högskolan, KTH.
Show others and affiliations
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, Published paper (Refereed)
Abstract [en]

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.
Series
IFAC proceedings series, ISSN 0741-1146 ; 47:3
Keyword [en]
Information technology - Automatic control
Keyword [sv]
Informationsteknik - Reglerteknik
National Category
Control Engineering
Research subject
Control Engineering; Enabling ICT (AERI); Attractive built environment (AERI); Intelligent industrial processes (AERI)
Identifiers
URN: 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
Conference
IFAC World Congress : 25/08/2014 - 29/08/2014
Note
Godkänd; 2014; 20141009 (damvar)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

Open Access in DiVA

fulltext(1163 kB)56 downloads
File information
File name FULLTEXT01.pdfFile size 1163 kBChecksum SHA-512
0d7ae96c13516e8ae996b679f6b26201bbf5aebd643e4495c99060e658d2cc5612124a2f19c03cf10861faec877d73eaea512ed89905bab1ea3ed1f0afad870c
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Varagnolo, Damiano
By organisation
Signals and Systems
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 56 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 80 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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