Energy Modeling and Calibration of Testbed KTH 2.0 – Prediction of the Space Heating Power and Temperatures in the Bedrooms

Abstract

Building energy modeling is a critical factor for improving the operational performance and reducing the energy use of the building impacting the environment. The goal of this study is to focus on the energy modeling and calibration of the Testbed KTH 2.0 in order to predict and improve the accuracy of the space heating power and indoor temperatures of the bedrooms. For that purpose, the manual calibration was implemented to minimize the difference between the simulation results extracted from IDA ICE and measured data collected from Building Management System (BMS). The data from BMS as well as the local weather data were processed to support robust and precise comparison. Through a screening sensitivity analysis and iterative adjustments, the energy model was successfully calibrated to reflect the actual conditions of the Testbed KTH 2.0. The final results illustrated strong agreement with the actual measurements meeting ASHRAE 14 guideline for model accuracy using MBE and CV(RMSE) values to quantify the error range. This work illustrates a practical and replicable approach and method in energy model calibration that can be used in future application of building energy simulation and analysis.

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