About: Model predictive control of a building heating system: The first experience

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://dx.doi.org/10.1016/j.enbuild.2010.10.022
Description	This paper presents model predictive controller (MPC) applied to the temperature control of real building. Conventional control strategies of a building heating system cannot make use of the energy supplied to a building. Moreover dropout of outside temperature can lead to underheating of a building. Presented predictive controller uses both weather forecast and thermal model of a building to inside temperature control. By this, it can utilize thermal capacity of a building and minimize energy consumption. It can also maintain inside temperature at desired level independent of outside weather conditions. The models of multiple input multiple output systems (MIMO) can be identified by means of subspace methods. Oftentimes, the measured data used for identification are not satisfactory and need special treatment. During the 2009/10 heating season, the controller was tested on a large university building and achieved savings of 17-24% compared to the present controller. This paper presents model predictive controller (MPC) applied to the temperature control of real building. Conventional control strategies of a building heating system cannot make use of the energy supplied to a building. Moreover dropout of outside temperature can lead to underheating of a building. Presented predictive controller uses both weather forecast and thermal model of a building to inside temperature control. By this, it can utilize thermal capacity of a building and minimize energy consumption. It can also maintain inside temperature at desired level independent of outside weather conditions. The models of multiple input multiple output systems (MIMO) can be identified by means of subspace methods. Oftentimes, the measured data used for identification are not satisfactory and need special treatment. During the 2009/10 heating season, the controller was tested on a large university building and achieved savings of 17-24% compared to the present controller. (en)
Title	Model predictive control of a building heating system: The first experience Model predictive control of a building heating system: The first experience (en)
skos:prefLabel	Model predictive control of a building heating system: The first experience Model predictive control of a building heating system: The first experience (en)
skos:notation	RIV/68407700:21230/11:00171368!RIV12-MPO-21230___
http://linked.open...avai/predkladatel	Fakulta elektrotechnická
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(FR-TI1/517), S
http://linked.open...iv/cisloPeriodika	2-3
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Ferkl, Lukáš Cigler, Jiří Prívara, Samuel
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	212910
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/11:00171368
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Optimal control; Subspace identification; Model predictive control; Costs effectiveness (en)
http://linked.open.../riv/klicoveSlovo	Model predictive control Optimal control Costs effectiveness Subspace identification
http://linked.open...odStatuVydavatele	NL - Nizozemsko
http://linked.open...ontrolniKodProRIV	[792479D0467A]
http://linked.open...i/riv/nazevZdroje	Energy and Buildings
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	*Control systems for energy consumption optimization in low-energy and passive houses
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	43
http://linked.open...iv/tvurceVysledku	Cigler, Jiří Ferkl, Lukáš Prívara, Samuel Široký, J.
http://linked.open...ain/vavai/riv/wos	000287291300037
issn	0378-7788
number of pages	9 (xsd:int)
http://bibframe.org/vocab/doi	10.1016/j.enbuild.2010.10.022
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	Model predictive control of a building heating system: The first experience Model predictive control of a building heating system: The first experience

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