• Energy Research

Abstract Hygrothermal simulation represents an established method for the performance evaluation of building constructions. Some validation cases are known where the validity of these models was approved in form of a comparison between measured and simulated quantities under controlled boundary conditions. A further step is commonly not explained but also included, the calibration of uncertainly known model settings, e.g. surface exchange coefficients or measured material properties with a relevant uncertainty range. This paper summarizes a calibration procedure, which was carried out for the data analysis of a hygrothermal test stand with two- and three-dimensional junctions, including brickwork and joist ends. The calibration procedure is based on the definition of quantitative criteria (target values) that describe the accordance between measured and simulated data series. Starting with the thermal two-dimensional simulation model, uncertain parameters are defined with their start values, ranges and steps of variation. This is used as an input for the identification of the best-fitting parameter combination via generic optimization algorithm. The final calibrated simulation model shows a remarkably better accordance to the measurement results. The procedure is systematic and reproducible.

Database prepared in Excel including four elements, as background information for RIBuild Deliverable D1.1 about the historic building stock: Historic buildings stock energy consumption (1) Historic building stock description (2) Building construction elements (3) Case studies (4) Element (1)-(3) are referring to the historic building stock in RIBuild partner countries in general, while element (4) contains examples of carried out renovation projects, involving internal insulation of a historic building. If available, the case study sheets contain information about the floor area, present use, the building envelope (thickness, materials), renovation history, pre- and post-energy usage and renovation cost. Further, information about typical defects and the main driving forces for the renovation project, planning or design tools used, whether the goal with the renovation was achieved and the satisfaction of the users. Overview of data files to be found in 'RIBuild data WP1' as part of this dataset.