Abstract
Currently, more and more emphasis is being placed on reducing energy consumption in buildings to reduce greenhouse gases in the atmosphere. Building performance simulation is very useful to predict energy demand and indoor environment quality. An indispensable element of the simulation is the validation and calibration of the model, which is an arduous process. The aim of the study was to present a four-level validation (using measurement results) and calibration of a thermal model of a naturally ventilated single-family house. Numerical calculations using co-simulation between EnergyPlus and Contam were performed. The results of the one-year simulation measurements of the indoor temperature and ventilation airflows were compared. After the calibration was performed, a high convergence of the results was found. The normalized mean bias error for hourly and monthly values did not exceed 1% and the coefficient of variation of the root mean squared error was a maximum of 7% with a simultaneous high correlation of the results in the range from 0.85 to 0.89. It was found that the final results were significantly influenced by the appropriate modeling of air exchange in the building, including the opening of windows.
Subject
Atmospheric Science,Environmental Science (miscellaneous)
Reference45 articles.
1. An EnergyPlus Whole Building Energy Model calibration method for office buildings using occupant behaviour data mining and empirical data;Lam;In Proceeding of the Building Simulation Conference,2014
2. Building model calibration using energy and environmental data
3. Analysis of the model reliability for building thermal simulation;Sarna,2020
4. Impacts of airflows, internal heat and moisture gains on accuracy of modeling energy consumption and indoor parameters in passive building
5. A review of methods to match building energy simulation models to measured data
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