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Savings through the use of adaptive predictive control of thermo-active building systems (TABS): A case study

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  • Schmelas, Martin
  • Feldmann, Thomas
  • Bollin, Elmar

Abstract

The building sector is one of the main consumers of energy. Therefore, heating and cooling concepts for renewable energy sources become increasingly important. For this purpose, low-temperature systems such as thermo-active building systems (TABS) are particularly suitable. This paper presents results of the use of a novel adaptive and predictive computation method, based on multiple linear regression (AMLR) for the control of TABS in a passive seminar building. Detailed comparisons are shown between the standard TABS and AMLR strategies over a period of nine months each. In addition to the reduction of thermal energy use by approx. 26% and a significant reduction of the TABS pump operation time, this paper focuses on investment savings in a passive seminar building through the use of the AMLR strategy. This includes the reduction of peak power of the chilled beams (auxiliary system) as well as a simplification of the TABS hydronic circuit and the saving of an external temperature sensor. The AMLR proves its practicality by learning from the historical building operation, by dealing with forecasting errors and it is easy to integrate into a building automation system.

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  • Schmelas, Martin & Feldmann, Thomas & Bollin, Elmar, 2017. "Savings through the use of adaptive predictive control of thermo-active building systems (TABS): A case study," Applied Energy, Elsevier, vol. 199(C), pages 294-309.
    • Handle: RePEc:eee:appene:v:199:y:2017:i:c:p:294-309
    DOI: 10.1016/j.apenergy.2017.05.032
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    References listed on IDEAS

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    1. Široký, Jan & Oldewurtel, Frauke & Cigler, Jiří & Prívara, Samuel, 2011. "Experimental analysis of model predictive control for an energy efficient building heating system," Applied Energy, Elsevier, vol. 88(9), pages 3079-3087.
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    4. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2013. "Modeling of TABS-based thermally manageable buildings in Simulink," Applied Energy, Elsevier, vol. 104(C), pages 791-800.
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