Proposition of a simplified method for predicting hourly indoor temperatures in test cells
Test cells can be used for testing the thermal performance of different passive systems and building components. Predictive methods for estimating indoor air temperatures can further enhance the number of configurations tested without increasing the amount of test cells to be built. Thus, direct com...
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ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
2017
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ojs-article-695702017-06-30T15:35:30Z Proposition of a simplified method for predicting hourly indoor temperatures in test cells Krüger, Eduardo Leite Fernandes, Leandro Cardoso, Grace Tibério Kawamura, Emilio Eiji indoor temperature predictions; thermal performance; test cells Test cells can be used for testing the thermal performance of different passive systems and building components. Predictive methods for estimating indoor air temperatures can further enhance the number of configurations tested without increasing the amount of test cells to be built. Thus, direct comparisons can be drawn for identical background climatic conditions. In its most basic form, formulas are generated by linear regression from relatively short data sets, which provide daily indoor temperature conditions. However, for more detailed analyses, daily indoor temperature predictions may not suffice. In this paper, a method for obtaining hourly indoor air temperature predictions is proposed. It is based on rising and decreasing rates of the indoor temperature fluctuation relative to outdoors, which translates to warming or cooling trends of indoor thermal conditions. The applicability of the method is for test cells. It is a simple method yet capable of predicting the thermal behavior of complex physical processes. The method was tested using measured data from experiments in a test cell, built with conventional building materials in Brazil. Results showed high performance with mean bias of 0.27 °C to measured data and Pearson’s r 0.99. When compared to traditional regression-based models, the method proposed showed better results. ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2017-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://seer.ufrgs.br/ambienteconstruido/article/view/69570 Ambiente Construído; v. 17, n. 3 (2017); 57-70 Ambiente Construído; v. 17, n. 3 (2017); 57-70 Ambiente Construído; v. 17, n. 3 (2017); 57-70 1678-8621 1415-8876 eng https://seer.ufrgs.br/ambienteconstruido/article/view/69570/42236 Direitos autorais 2017 Ambiente Construído https://creativecommons.org/licenses/by/4.0 |
| institution |
Universidade Federal do Rio Grande do Sul |
| collection |
OJS |
| language |
eng |
| format |
Online |
| author |
Krüger, Eduardo Leite Fernandes, Leandro Cardoso, Grace Tibério Kawamura, Emilio Eiji |
| spellingShingle |
Krüger, Eduardo Leite Fernandes, Leandro Cardoso, Grace Tibério Kawamura, Emilio Eiji Proposition of a simplified method for predicting hourly indoor temperatures in test cells |
| author_facet |
Krüger, Eduardo Leite Fernandes, Leandro Cardoso, Grace Tibério Kawamura, Emilio Eiji |
| author_sort |
Krüger, Eduardo Leite |
| title |
Proposition of a simplified method for predicting hourly indoor temperatures in test cells |
| title_short |
Proposition of a simplified method for predicting hourly indoor temperatures in test cells |
| title_full |
Proposition of a simplified method for predicting hourly indoor temperatures in test cells |
| title_fullStr |
Proposition of a simplified method for predicting hourly indoor temperatures in test cells |
| title_full_unstemmed |
Proposition of a simplified method for predicting hourly indoor temperatures in test cells |
| title_sort |
proposition of a simplified method for predicting hourly indoor temperatures in test cells |
| description |
Test cells can be used for testing the thermal performance of different passive systems and building components. Predictive methods for estimating indoor air temperatures can further enhance the number of configurations tested without increasing the amount of test cells to be built. Thus, direct comparisons can be drawn for identical background climatic conditions. In its most basic form, formulas are generated by linear regression from relatively short data sets, which provide daily indoor temperature conditions. However, for more detailed analyses, daily indoor temperature predictions may not suffice. In this paper, a method for obtaining hourly indoor air temperature predictions is proposed. It is based on rising and decreasing rates of the indoor temperature fluctuation relative to outdoors, which translates to warming or cooling trends of indoor thermal conditions. The applicability of the method is for test cells. It is a simple method yet capable of predicting the thermal behavior of complex physical processes. The method was tested using measured data from experiments in a test cell, built with conventional building materials in Brazil. Results showed high performance with mean bias of 0.27 °C to measured data and Pearson’s r 0.99. When compared to traditional regression-based models, the method proposed showed better results. |
| publisher |
ANTAC - Associação Nacional de Tecnologia do Ambiente Construído |
| publishDate |
2017 |
| url |
https://seer.ufrgs.br/ambienteconstruido/article/view/69570 |
| work_keys_str_mv |
AT krugereduardoleite propositionofasimplifiedmethodforpredictinghourlyindoortemperaturesintestcells AT fernandesleandro propositionofasimplifiedmethodforpredictinghourlyindoortemperaturesintestcells AT cardosogracetiberio propositionofasimplifiedmethodforpredictinghourlyindoortemperaturesintestcells AT kawamuraemilioeiji propositionofasimplifiedmethodforpredictinghourlyindoortemperaturesintestcells |
| _version_ |
1709370581493743616 |