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
| Autor: | Jesús P. Xamán, Jesús Arce, Yessenia Olazo-Gómez, Sergio Castaño, María José Jiménez, Héctor Herrada |
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| Rok vydání: | 2020 |
| Předmět: |
Control and Optimization
Computer science 020209 energy outdoor testing Energy Engineering and Power Technology 02 engineering and technology 010501 environmental sciences Radiation Dynamic modelling lcsh:Technology 01 natural sciences thermal parameters Robustness (computer science) in-situ tests Thermal 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Engineering (miscellaneous) 0105 earth and related environmental sciences lcsh:T building energy performance Renewable Energy Sustainability and the Environment performance indicators dynamic analysis R-value (insulation) building envelope Reliability engineering On board Heat flux Performance indicator Reference case Building envelope Energy (miscellaneous) |
| Zdroj: | Energies Volume 13 Issue 18 Energies, Vol 13, Iss 4800, p 4800 (2020) |
| ISSN: | 1996-1073 |
| DOI: | 10.3390/en13184800 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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