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Model predictive control of district heating system

dc.contributor.authorLie-Jensen, Frode
dc.contributor.authorAannø, Andreas
dc.contributor.authorAleksandrova, Elena
dc.contributor.authorWestli, Anders
dc.contributor.authorNielsen, Morten
dc.contributor.authorKomulainen, Tiina M.
dc.date.accessioned2019-01-18T14:56:02Z
dc.date.accessioned2019-01-21T10:23:55Z
dc.date.available2019-01-18T14:56:02Z
dc.date.available2019-01-21T10:23:55Z
dc.date.issued2018-11-19
dc.identifier.citationLie-Jensen, Aannø, Aleksandrova, Westli, Nielsen M, Komulainen TMK. Model predictive control of district heating system. Linköping Electronic Conference Proceedings. 2018en
dc.identifier.issn1650-3686
dc.identifier.issn1650-3686
dc.identifier.issn1650-3740
dc.identifier.urihttps://hdl.handle.net/10642/6528
dc.description.abstractDistrict heating system (DHS) is a widely used and increasingly popular energy source in cities. The uncertainty in the heat load (HL) due to customer demand fluctuations makes unit commitment (UC) and heat production unit (HPU) control a complex task. This case study of the DHS at Fortum Oslo Varme AS (FOV) aims to find a strategy to optimize and fully automate UC and HPU. Our results suggests this can be accomplished by using model predictive control (MPC) to control HPU power and flow rate, mixed integer linear programming (MILP) optimization to solve UC problem, and multiple linear regression (MLR) model to predict the HL. We also show that the fuel cost can be reduced significantly.en
dc.language.isoenen
dc.publisherLinköping University Electronic Pressen
dc.relation.ispartofseriesLinköping Electronic Conference Proceedings;153:007
dc.rightsLiU E-Press publish open access under the Creative Commons license: BY-NC Attribution-Non-commercial.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectDistrict heatingen
dc.subjectModel predictive controlsen
dc.subjectSystem identificationsen
dc.subjectUnit commitment problemsen
dc.subjectHeat load predictionsen
dc.titleModel predictive control of district heating systemen
dc.typeJournal article
dc.typeJournal articleen
dc.typePeer revieweden
dc.date.updated2019-01-18T14:56:02Z
dc.description.versionpublishedVersionen
dc.identifier.doihttp://dx.doi.org/10.3384/ecp1815343
dc.identifier.cristin1660591
dc.source.journalLinköping Electronic Conference Proceedings


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LiU E-Press publish open access under the Creative Commons license: BY-NC Attribution-Non-commercial.
Except where otherwise noted, this item's license is described as LiU E-Press publish open access under the Creative Commons license: BY-NC Attribution-Non-commercial.