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dc.contributor.authorJankovic, L.
dc.date.accessioned2018-03-14T13:20:52Z
dc.date.available2018-03-14T13:20:52Z
dc.date.issued2016-09-12
dc.identifier.citationJankovic , L 2016 , Development and Analysis of a Predictive Control Algorithm for Embedding in a Microprocessor Controller . in Proceedings of Building Simulation & Optimization 2016 . IBPSA England , Building Simulation and Optimization 2016 , Newcastle , United Kingdom , 12/09/16 .
dc.identifier.citationconference
dc.identifier.otherPURE: 13285782
dc.identifier.otherPURE UUID: 03cf3968-3402-4fe6-bd1e-2a01cd0bafb6
dc.identifier.otherBibtex: urn:5a21c883af6ff7b3bc8414131c8fb129
dc.identifier.otherORCID: /0000-0002-6974-9701/work/62751424
dc.identifier.urihttp://hdl.handle.net/2299/19893
dc.descriptionLjubomir Jankovic, ‘Development and Analysis of a Predictive Control Algorithm for Embedding in a Microprocessor Controller’, in BSO 2016 Proceedings. Paper presented at the 3rd IBPSA England Conference, Newcastle, September 2016. Content in the UH Research Archive is made available for personal research, educational, and non-commercial purposes only. Unless otherwise stated, all content is protected by copyright, and in the absence of an open license, permissions for further re-use should be sought from the publisher, the author, or other copyright holder.
dc.description.abstractThe aim of this paper is to develop a predictive control algorithm and compare it with thermostat based control. The approach is based on modelling thermostat based control in EnergyPlus, and creating a predictive model using Fast Fourier Transform (FFT). Thermostat based control was modelled in EnergyPlus using a simple single zone building with 42% of south glazing. Predictive model was developed as an FFT response function to heat input, thus obtaining an inverse model and applying it several time steps ahead. The heating load and predictive percentage of dissatisfied of thermostat based control and of the predictive control cases were compared. The results show that in this particular study the predictive control approach leads to just over 20% reduction of energy consumption whilst keeping similar level of thermal comfort. In addition to investigating the modelling of predictive control using Fourier series, the aim of the research is to assess the feasibility of embedding this type of control algorithm in a microprocessor controller.en
dc.format.extent8
dc.language.isoeng
dc.publisherIBPSA England
dc.relation.ispartofProceedings of Building Simulation & Optimization 2016
dc.rightsOpen
dc.titleDevelopment and Analysis of a Predictive Control Algorithm for Embedding in a Microprocessor Controlleren
dc.contributor.institutionSchool of Creative Arts
dc.contributor.institutionArt and Design
dc.contributor.institutionTheorising Visual Art and Design
dc.identifier.urlhttp://www.ibpsa.org/proceedings/BSO2016/p1083.pdf
dc.identifier.urlhttp://www.ibpsa.org/?page_id=797
dc.relation.schoolSchool of Creative Arts
dc.description.versiontypeFinal Published version
dcterms.dateAccepted2016-09-12
rioxxterms.versionVoR
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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