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Data-Based RC Dynamic Modelling to Assessing the In-Situ Thermal Performance of Buildings. Analysis of Several Key Aspects in a Simplified Reference Case toward the Application at On-Board Monitoring Level

Author

Listed:
  • Yessenia Olazo-Gómez

    (Tecnológico Nacional de México/CENIDET, Cuernavaca, Morelos CP 62490, Mexico)

  • Héctor Herrada

    (Energy Efficiency in Buildings R&D Unit, CIEMAT, 28040 Madrid, Spain)

  • Sergio Castaño

    (Energy Efficiency in Buildings R&D Unit, CIEMAT, 28040 Madrid, Spain)

  • Jesús Arce

    (Tecnológico Nacional de México/CENIDET, Cuernavaca, Morelos CP 62490, Mexico)

  • Jesús P. Xamán

    (Tecnológico Nacional de México/CENIDET, Cuernavaca, Morelos CP 62490, Mexico)

  • María José Jiménez

    (Energy Efficiency in Buildings R&D Unit, CIEMAT, 28040 Madrid, Spain)

Abstract

This paper reports the application of RC dynamic models for assessing thermal performance of buildings from in-situ tests (obtaining the U value for the walls, and the UA value and gA value for the whole buildings). The following aspects which are relevant to this approach have been systematically analyzed: The effect of the solar radiation on the heat flux through the opaque walls versus the performance of the models including this effect, the optimum number of nodes required to represent the thermal systems, the assignment of inputs and outputs and the length of the test period. Additionally, several options modelling relevant effects using unmeasured variables were studied to evaluate the feasibility to reduce the cost and intrusiveness of the measurement devices required to obtain accurate results. Data series recorded under different experimental conditions were considered to analyze the robustness and validity of the results. The performance of the models for each of these different test conditions is discussed. The uncertainties estimated using the described method for the U values of the opaque walls, and the UA and gA values of the whole building, are, respectively, 2.8%, 4.2% and 2.3%. The feasibility to model relevant effects using unmeasured variables has been demonstrated. A simplified and well-known building has been used as a case study, reinforcing and complementing the validation criteria.

Suggested Citation

  • Yessenia Olazo-Gómez & Héctor Herrada & Sergio Castaño & Jesús Arce & Jesús P. Xamán & María José Jiménez, 2020. "Data-Based RC Dynamic Modelling to Assessing the In-Situ Thermal Performance of Buildings. Analysis of Several Key Aspects in a Simplified Reference Case toward the Application at On-Board Monitoring ," Energies, MDPI, vol. 13(18), pages 1-30, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4800-:d:413420
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    References listed on IDEAS

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    1. Tian, Wei & Heo, Yeonsook & de Wilde, Pieter & Li, Zhanyong & Yan, Da & Park, Cheol Soo & Feng, Xiaohang & Augenbroe, Godfried, 2018. "A review of uncertainty analysis in building energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 285-301.
    2. Sánchez, M.N. & Soutullo, S. & Olmedo, R. & Bravo, D. & Castaño, S. & Jiménez, M.J., 2020. "An experimental methodology to assess the climate impact on the energy performance of buildings: A ten-year evaluation in temperate and cold desert areas," Applied Energy, Elsevier, vol. 264(C).
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    1. Zhang, Xiang & Rasmussen, Christoffer & Saelens, Dirk & Roels, Staf, 2022. "Time-dependent solar aperture estimation of a building: Comparing grey-box and white-box approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    2. Zhang, Xiang & Saelens, Dirk & Roels, Staf, 2022. "Estimating dynamic solar gains from on-site measured data: An ARX modelling approach," Applied Energy, Elsevier, vol. 321(C).
    3. Nicolas A. Campbell & Patrick E. Phelan & Miguel Peinado-Guerrero & Jesus R. Villalobos, 2021. "Improved Air-Conditioning Demand Response of Connected Communities over Individually Optimized Buildings," Energies, MDPI, vol. 14(18), pages 1-17, September.
    4. María José Jiménez & José Alberto Díaz & Antonio Javier Alonso & Sergio Castaño & Manuel Pérez, 2020. "Non-Intrusive Measurements to Incorporate the Air Renovations in Dynamic Models Assessing the In-Situ Thermal Performance of Buildings," Energies, MDPI, vol. 14(1), pages 1-15, December.

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