Proceedings of BSO Conference 2022: 6th Conference of IBPSA-England
Development of Reduced Order Thermal Network Models for Indian Wall Assemblies
Aashi Kansal, Elangovan RajasekarIndian Institute of Technology, RoorkeeAbstract: Thermal network models simplify yet realistically represent various thermodynamic processes associated with the building. They enable estimation of building energy demand with relatively less computational resources compared to conventional simulations. Researchers have attempted to establish the tradeoff between model accuracy and computational intensity. There is a need to develop validated thermal network models for different wall assemblies. This paper presents thermal network models for various Indian wall assemblies with different U values.
A thermal network model of a residential building is developed in open modelica and validated using real time data from a test bed located in Hyderabad, India. According to Koppen Gieger classification Hyderabad has tropical wet and dry climate. The building is a residential test bed having an area of 40 sqm. Thermal network models of Indian wall assemblies are developed as per VDI 6007 guidelines. The 3R2C model of bedroom yields a MAE (Mean Absolute Error) value of 0.76 ̊C. The effect of model order reduction (5C, 4C, 3C, 2C) on prediction accuracy is discussed. Keywords: reduced order models, thermal networks, resistors, capacitorsPaper:bso2022_4