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Statements

Subject Item
n2:RIV%2F68407700%3A21720%2F13%3A00207164%21RIV14-MSM-21720___
rdf:type
n13:Vysledek skos:Concept
dcterms:description
Model Predictive Control (MPC) of buildings has gained lot of attention in the recent years. Several research projects have demonstrated that MPC can provide substantial energy savings and improve indoor comfort as compared to traditional control approaches. However, the application of MPC requires extensive knowledge in the areas of mathematical and computer modeling, hard- and software systems, data processing, and optimal control. Therefore its application implies considerable additional cost. The key issue is if corresponding energy savings and comfort improvements can balance this cost. The present paper discusses challenges encountered during the implementation of MPC in two different pilot case studies.The first study focuses on a 50 years old building with Thermally Activated Building Systems (TABS), while the second one deals with a newly built office building. Our experience suggests that a simple (not to be confounded with simplistic) model is sufficient to economically operate MPC on a building. However, firm guidelines allowing investors to assess whether it is worth to embark in MPC for a particular building are still lacking. In our opinion the situation could be much improved if building control would be considered already at the very early stages of the building and technical systems design. In this case we believe that MPC presents an attractive option for optimal supervisory control, in particular for buildings with large thermal storage capacity. Model Predictive Control (MPC) of buildings has gained lot of attention in the recent years. Several research projects have demonstrated that MPC can provide substantial energy savings and improve indoor comfort as compared to traditional control approaches. However, the application of MPC requires extensive knowledge in the areas of mathematical and computer modeling, hard- and software systems, data processing, and optimal control. Therefore its application implies considerable additional cost. The key issue is if corresponding energy savings and comfort improvements can balance this cost. The present paper discusses challenges encountered during the implementation of MPC in two different pilot case studies.The first study focuses on a 50 years old building with Thermally Activated Building Systems (TABS), while the second one deals with a newly built office building. Our experience suggests that a simple (not to be confounded with simplistic) model is sufficient to economically operate MPC on a building. However, firm guidelines allowing investors to assess whether it is worth to embark in MPC for a particular building are still lacking. In our opinion the situation could be much improved if building control would be considered already at the very early stages of the building and technical systems design. In this case we believe that MPC presents an attractive option for optimal supervisory control, in particular for buildings with large thermal storage capacity.
dcterms:title
Beyond Theory: the Challenge of Implementing Model Predictive Control in Buildings Beyond Theory: the Challenge of Implementing Model Predictive Control in Buildings
skos:prefLabel
Beyond Theory: the Challenge of Implementing Model Predictive Control in Buildings Beyond Theory: the Challenge of Implementing Model Predictive Control in Buildings
skos:notation
RIV/68407700:21720/13:00207164!RIV14-MSM-21720___
n13:predkladatel
n14:orjk%3A21720
n4:aktivita
n20:S n20:P
n4:aktivity
P(ED2.1.00/03.0091), S
n4:dodaniDat
n9:2014
n4:domaciTvurceVysledku
n12:8632529
n4:druhVysledku
n7:D
n4:duvernostUdaju
n15:S
n4:entitaPredkladatele
n5:predkladatel
n4:idSjednocenehoVysledku
63167
n4:idVysledku
RIV/68407700:21720/13:00207164
n4:jazykVysledku
n6:eng
n4:klicovaSlova
Predictive control; Energy savings; Controller deployment
n4:klicoveSlovo
n16:Predictive%20control n16:Controller%20deployment n16:Energy%20savings
n4:kontrolniKodProRIV
[E909DE591DBC]
n4:mistoKonaniAkce
Praha
n4:mistoVydani
Praha
n4:nazevZdroje
Clima 2013 - 11th REHVA World Congress & 8th International Conference on IAQVEC - %22Energy Efficient, Smart and Healthy Buildings%22
n4:obor
n17:BC
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
5
n4:projekt
n10:ED2.1.00%2F03.0091
n4:rokUplatneniVysledku
n9:2013
n4:tvurceVysledku
Široký, J. Cigler, Jiří Ferkl, Lukáš Gyalistras, D. Tiet, V.- N.
n4:typAkce
n11:EUR
n4:zahajeniAkce
2013-06-16+02:00
s:numberOfPages
11
n22:hasPublisher
Společnost pro techniku prostředí
n18:isbn
978-80-260-4001-9
n19:organizacniJednotka
21720