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Modeling of TABS-based thermally manageable buildings in Simulink

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  • Ma, Peizheng
  • Wang, Lin-Shu
  • Guo, Nianhua

Abstract

Since Willis Carrier’s invention of air conditioning in 1911, we traditionally think about building conditioning in terms of the heating and cooling of a building’s indoor air. A better idea is the heating and cooling of a building’s mass. The latter has been called the radiant method, of which a most attractive strain is the thermally activated building systems (TABS) proposed by Robert Meierhans in 1990s. In this paper, a resistor–capacitor (RC) model is built in Matlab/Simulink for studying the system requirement of a TABS-equipped building-room. Specifically, what is the requirement in the envelope thermal resistance and activated TABS thermal mass of the room so that it is able to keep the room’s indoor operative temperature within the comfort range with its surroundings at neutral mean ambient temperature? Systematic simulations show that at neutral ambient temperature, the room’s manageability requires the correct selection of thermal mass at normal value and thermal resistance within minimum envelope resistance range (MERR). With its surroundings at above neutral ambient temperature, the room with the required mass-envelope combination functions robustly, albeit with a slightly larger operative temperature variation. We introduce the term thermally manageable building, defined as buildings that can be managed with off-peak equipment, either mechanical equipment (e.g., a chiller) or (natural energy gradient driven) low-power equipment (e.g., a cooling tower). Simulation results also show that while the mean operative temperature level is maintained by cooling equipment (mechanical or low-power one), the operative temperature variation is primarily a function of a building’s thermal mass and a building’s envelope thermal resistance and, only to a small extent, a weak function of mean ambient temperature and the diurnal temperature amplitude.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:104:y:2013:i:c:p:791-800
    DOI: 10.1016/j.apenergy.2012.12.006
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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.
    2. Lehmann, B. & Dorer, V. & Gwerder, M. & Renggli, F. & Tödtli, J., 2011. "Thermally activated building systems (TABS): Energy efficiency as a function of control strategy, hydronic circuit topology and (cold) generation system," Applied Energy, Elsevier, vol. 88(1), pages 180-191, January.
    3. Gwerder, M. & Tödtli, J. & Lehmann, B. & Dorer, V. & Güntensperger, W. & Renggli, F., 2009. "Control of thermally activated building systems (TABS) in intermittent operation with pulse width modulation," Applied Energy, Elsevier, vol. 86(9), pages 1606-1616, September.
    4. Gwerder, M. & Lehmann, B. & Tödtli, J. & Dorer, V. & Renggli, F., 2008. "Control of thermally-activated building systems (TABS)," Applied Energy, Elsevier, vol. 85(7), pages 565-581, July.
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    1. 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.
    2. María M. Villar-Ramos & Iván Hernández-Pérez & Karla M. Aguilar-Castro & Ivett Zavala-Guillén & Edgar V. Macias-Melo & Irving Hernández-López & Juan Serrano-Arellano, 2022. "A Review of Thermally Activated Building Systems (TABS) as an Alternative for Improving the Indoor Environment of Buildings," Energies, MDPI, vol. 15(17), pages 1-31, August.
    3. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2015. "Maximum window-to-wall ratio of a thermally autonomous building as a function of envelope U-value and ambient temperature amplitude," Applied Energy, Elsevier, vol. 146(C), pages 84-91.
    4. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2015. "Energy storage and heat extraction – From thermally activated building systems (TABS) to thermally homeostatic buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 677-685.
    5. Ibrahim, Mohamad & Wurtz, Etienne & Biwole, Pascal Henry & Achard, Patrick, 2014. "Transferring the south solar energy to the north facade through embedded water pipes," Energy, Elsevier, vol. 78(C), pages 834-845.
    6. Wang, Lin-Shu & Ma, Peizheng, 2016. "The homeostasis solution – Mechanical homeostasis in architecturally homeostatic buildings," Applied Energy, Elsevier, vol. 162(C), pages 183-196.
    7. Xu, Xinhua & Yu, Jinghua & Wang, Shengwei & Wang, Jinbo, 2014. "Research and application of active hollow core slabs in building systems for utilizing low energy sources," Applied Energy, Elsevier, vol. 116(C), pages 424-435.
    8. Lim, Jae-Han & Song, Jin-Hee & Song, Seung-Yeong, 2014. "Development of operational guidelines for thermally activated building system according to heating and cooling load characteristics," Applied Energy, Elsevier, vol. 126(C), pages 123-135.
    9. Wu, Wentao & Zhang, Wei & Benner, Jingru & Malkawi, Ali, 2020. "Critical evaluation of analytical methods for thermally activated building systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    10. Romaní, Joaquim & Cabeza, Luisa F. & de Gracia, Alvaro, 2018. "Development and experimental validation of a transient 2D numeric model for radiant walls," Renewable Energy, Elsevier, vol. 115(C), pages 859-870.
    11. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2014. "Modeling of hydronic radiant cooling of a thermally homeostatic building using a parametric cooling tower," Applied Energy, Elsevier, vol. 127(C), pages 172-181.

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