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Building simulation modelling of the historic building Linderhof Palace taking account visitors

: Bichlmair, Stefan; Kilian, Ralf; Krus, Martin; Sedlbauer, Klaus

Swan, Lukas (Conference Organizing Chair) ; Dahlhousie University, Halifax; International Building Performance Simulation Association -IBPSA-, Canadian Chapter:
Proceedings of eSim 2012 : The biennial Canadian Conference on Building Simulation, Halifax, Nova Scotia. May 1-4, 2012
Halifax, 2012
Biennial Canadian Conference on Building Simulation (eSim) <7, 2012, Halifax>
Conference Paper
Fraunhofer IBP ()

This paper is part of a research project for preventive conservation of cultural heritage of Fraunhofer Institute for Building Physics IBP at Holzkirchen called "Climate Stability of Historic Buildings". Within this project the behaviour of the room climate in Linderhof Palace of the Bavarian King Ludwig II is investigated. The room climate plays a decisive role for the durable preservation of art. The real measured room climate is replicated by a building simulation model ased on the adjacent room climates. The results are compared with the measured data of the considered room. In rder to adjust the simulation model to the real room climate further investigations had to be made on building aterials and construction details. By using a passive tracer gas method the air change rates of specific rooms were easured. Also a new model is developed and described to correctly simulate the influences of the visitors in Linderhof alace. In order to proof the input parameters and to calibrate the model with the measured room climate sensitivity analyses were made and simulated data were compared with real data. Additionally the simulation is tested on a modified climate analysis which is typically used for preventive conservation. A scenario to the controversial discussed visitor’s influence is simulated regarding to proof the influence of visitors to the room climate and also to verify the simulation. With this paper it is accomplished to grasp the complex boundary conditions and successfully apply them in a building simulation model of the Kings bedroom. The results of the computation fit well to the compared measured data.