BES Model Validation: Validation Datasets from the Fraunhofer IBP Twin Houses

South-west exterior view of one of the twin houses at Fraunhofer IBP in Holzkirchen as the basis of the BES Model Validation.
© Fraunhofer IBP
South-west exterior view of one of the twin houses at Fraunhofer IBP in Holzkirchen as the basis of the BES Model Validation.
Interior view of the living room of a twin house with temperature measurement tree and electric convector.
© Fraunhofer IBP
Interior view of the living room of a twin house with temperature measurement tree and electric convector.
Experimental procedure of the IEA EBC Annex 71 dataset.
© Fraunhofer IBP
Experimental procedure of the IEA EBC Annex 71 dataset.

As part of IEA EBC Annexes 58 and 71, two comprehensive empirical validation experiments for dynamic building energy simulation (BES) programs were conducted at Fraunhofer IBP in Holzkirchen. The experiments are based on two identical Twin Houses, whose thermal and energy performance was measured under realistic yet controlled boundary conditions. The resulting BES validation datasets contain information on building geometry, envelope constructions, building services systems, occupancy profiles, weather data, and the collected measurement data. They enable simulation models to be built in a transparent and reproducible manner, allow simulation results to be checked against measured data, and support the assessment of the accuracy and predictive capability of building energy simulations under near-realistic conditions.

 

The objective of the BES Model Validation was to provide a robust basis for the empirical testing of building energy simulation (BES) programs. To this end, experiments were designed beyond simple single-zone test cells and idealized boundary conditions: the Twin Houses were operated under defined heating, ventilation, occupancy, and moisture scenarios, thereby representing the key building physics processes of real residential buildings. At the same time, geometry, building components, thermal bridges, building services systems, meteorological boundary conditions, and operational profiles were documented in detail to allow modelers to replicate the buildings in a reproducible manner.

 

The focus is on the quality and transparency of the validation datasets. These comprise experiment specifications, supplementary technical documentation, photographs and drawings, as well as measurement data in tabular form. By providing this information, the datasets support research, software development, and quality assurance in the field of building energy simulation.

Project goals

The underlying measurement campaigns were conducted in the Twin Houses of Fraunhofer IBP at the Holzkirchen field test site during summer 2013, spring 2014, and winter 2018/19. The Annex 71 dataset from winter 2018/19 is more complex than its predecessor, the Annex 58 dataset, as it includes synthetic occupants (heat and moisture sources as well as natural ventilation by window) and a heat pump system with underfloor heating. Both experiments consisted of several test phases, including initialization, co-heating, defined occupancy phases, fault detection scenarios, phases with internal moisture gains, pseudo-random binary sequence (PRBS) excitation phases, and free-floating operation. In Annex 71, one Twin House was heated using electric convectors, while the second was heated via an air-source heat pump with underfloor heating and domestic hot water (DHW) preparation. Synthetic occupancy profiles represent internal heat and moisture gains, window and door opening events, and domestic hot water tapings. The dataset includes, among other parameters, indoor air temperatures, heating power, system temperatures, weather data, air change rate information (tracer gas data), and operational states. The data were prepared for a two-stage validation procedure comprising a blind phase and an open phase.

Project partners

  • University of Strathclyde
  • IEA EBC Annex 58 and 71 Research Consortium