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  • Low energy buildings have attracted lots of attention in recent years. Most of the research is focused on the building construction or alternative energy sources. In contrary, this paper presents a general methodology of minimizing energy consumption using current energy sources and minimal retrofitting, but instead making use of advanced control techniques. We focus on the analysis of energy savings that can be achieved in a building heating system by applying model predictive control (MPC) and using weather predictions. The basic formulation of MPC is described with emphasis on the building control application and tested in a two months experiment performed on a real building in Prague, Czech Republic.
  • Low energy buildings have attracted lots of attention in recent years. Most of the research is focused on the building construction or alternative energy sources. In contrary, this paper presents a general methodology of minimizing energy consumption using current energy sources and minimal retrofitting, but instead making use of advanced control techniques. We focus on the analysis of energy savings that can be achieved in a building heating system by applying model predictive control (MPC) and using weather predictions. The basic formulation of MPC is described with emphasis on the building control application and tested in a two months experiment performed on a real building in Prague, Czech Republic. (en)
Title
  • Experimental analysis of model predictive control for an energy efficient building heating system
  • Experimental analysis of model predictive control for an energy efficient building heating system (en)
skos:prefLabel
  • Experimental analysis of model predictive control for an energy efficient building heating system
  • Experimental analysis of model predictive control for an energy efficient building heating system (en)
skos:notation
  • RIV/68407700:21230/11:00179562!RIV12-MPO-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(2A-1TP1/084), S
http://linked.open...iv/cisloPeriodika
  • 9
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 198716
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  • RIV/68407700:21230/11:00179562
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  • Building heating system; Energy savings; Model predictive control; Optimization; System identification (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
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  • [EB4D70A58974]
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  • Applied Energy
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  • 88
http://linked.open...iv/tvurceVysledku
  • Cigler, Jiří
  • Prívara, Samuel
  • Široký, Jan
  • Oldewurtel, Frauke
http://linked.open...ain/vavai/riv/wos
  • 000291232300019
issn
  • 0306-2619
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.apenergy.2011.03.009
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  • 21230
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