Paper Conference

Proceedings of BauSim Conference 2022: 9th Conference of IBPSA-Germany and Austria

     

DEVELOPMENT OF A PYTHON-BASED SIMPLIFIED HOURLY BUILDING MODEL FOR NON-DOMESTIC BUILDING STOCK OPERATIONAL ENERGY SIMULATIONS

Julian Bischof, Simon Knoll, Aidan Duffy

DOI: https://doi.org/10.26868/29761662.2022.5
Abstract: Building stock (BS) energy simulation is an important tool for exploring a BS's greenhouse gas mitigation measures. Simulation presents the challenge of finding the trade-off between detail and computational requirements. This paper presents the development and validation of such a model based on the simplified hourly method of the ISO 13790, implemented in Python. The model was validated using 464 sample buildings from recently collected German nondomestic building stock data. The validation displayed an acceptable level of accuracy for the aggregated building stock with a bias of 19.3 % and 11.2 % for space heating and electricity use, respectively.
Paper:
bausim2022_Bischof_Julian