SENSITIVITY OF INPUT DATA IN BUILDING HEATING ENERGY DEMAND SIMULATION

Geiger, A.; Nichersu, A.; Hagenmayer, V.

doi:https://doi.org/10.3217/978-3-85125-786-1-53

Paper Conference

Proceedings of BauSim Conference 2020: 8th Conference of IBPSA-Germany and Austria

SENSITIVITY OF INPUT DATA IN BUILDING HEATING ENERGY DEMAND SIMULATION

A. Geiger, A. Nichersu, V. Hagenmayer

DOI: https://doi.org/10.3217/978-3-85125-786-1-53
Abstract: In the present paper, the sensitivity of input parameters in heating energy demand simulation is analyzed, be it related to spatial model geometry, building physics, or occupant behavior. To this end, based on the standardized data model CityGML Energy ADE 2.0, input data is prepared and simulated with the opensource energy simulation tool EnergyPlus. Results illustrate a possible need to review energy data collection efforts. The parameters displaying the most significant impact during testing: the presence of a cellar, the infiltration rate, and occupancy behavior (setpoint temperature and heating scheduling) are generally omitted during mass data-gathering efforts.
Pages: 450 - 457
Paper:
bausim2020_53

Paper Conference

Proceedings of BauSim Conference 2020: 8th Conference of IBPSA-Germany and Austria

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SENSITIVITY OF INPUT DATA IN BUILDING HEATING ENERGY DEMAND SIMULATION