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dc.contributor.authorKrogstad, Stian
dc.date.accessioned2015-09-25T11:02:38Z
dc.date.accessioned2017-04-19T13:18:24Z
dc.date.available2015-09-25T11:02:38Z
dc.date.available2017-04-19T13:18:24Z
dc.date.issued2015-09-25
dc.identifier.citationKrogstad, S. Heating of buildings with focus on measurement and control. Master thesis, Telemark University College, 2013
dc.identifier.urihttp://hdl.handle.net/11250/2439071
dc.description.abstractIn Norway 60% of all energy is commonly used for heating, during cold winters this number is seen to rise even higher. Any reduction in the standby power used for heating will result in large power savings. In this thesis it has been proven that a good BAS system can reduce the energy usage with at least 20%. This means large savings can be made both in the power bill each month but also in a more global environmental perspective. The first principle house model is found to inadequately predict house heating times. Augmenting the model with a Kalman filter for estimating disturbances is greatly improving the estimations. Straight forward OLS regression shows good results during experiments using similar conditions. Three controllers are analyzed designed and implemented in Visual Studio (MPC,PID,and LQR). Th
dc.language.isoeng
dc.publisherHøgskolen i Telemark
dc.subjectHeating
dc.subjectBuildings
dc.subjectBuilding automation system
dc.subjectBAS sensors
dc.subjectPower savings
dc.titleHeating of buildings with focus on measurement and control
dc.typeMaster thesisno
dc.description.versionPublished version
dc.rights.holder© Copyright The Author. All rights reserved
dc.subject.nsi573


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