Validation of univariate statistical models for predicting indoor temperature in simple envelopes
DOI:
https://doi.org/10.32870/rvcs.v0i18.298Keywords:
empirical models, statistical models, buildings, inside temperatureAbstract
In the search for simple empirical techniques for estimating the interior temperature of areas enclosed in simple geometric envelopes, a descriptive, conclusive investigation is proposed, in which, through the use of statistical techniques, models for predicting interior temperature are validated. It is expected that the results will confirm the reliability of a simple model and avoid the use of more complex methods for estimating interior temperature, such as thermal-energy simulation tools. The feasibility of avoiding the use of simulation techniques, replacing them with records obtained with sensors that are then processed to obtain the univariate statistical model, would shed light on the use of simpler models. However, the conclusions indicate on the one hand important restrictions in the use of univariate statistical models for predicting interior temperature, but on the other hand they point out the potential use of these models only in some cases identified by a relevant thermal stability condition.Metrics
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