2013
DOI: 10.1016/j.buildenv.2013.06.001
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Inverse modeling of simplified hygrothermal building models to predict and characterize indoor climates

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Cited by 68 publications
(32 citation statements)
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“…Thus, the full building simulations give a better representation of the hygrothermal performance of the building but this is at a high cost of developing the model and relatively long times for computing. A second but simplified approach using state-spacemodels as transfer functions between the outdoor and indoor conditions was also applied for the prediction of indoor temperature and relative humidity [13,14]. The simplified hygrothermal building model is a simple mathematical function that calculates the indoor climate from the outdoor climate.…”
Section: Building Simulationsmentioning
confidence: 99%
“…Thus, the full building simulations give a better representation of the hygrothermal performance of the building but this is at a high cost of developing the model and relatively long times for computing. A second but simplified approach using state-spacemodels as transfer functions between the outdoor and indoor conditions was also applied for the prediction of indoor temperature and relative humidity [13,14]. The simplified hygrothermal building model is a simple mathematical function that calculates the indoor climate from the outdoor climate.…”
Section: Building Simulationsmentioning
confidence: 99%
“…Interference is nonetheless inevitable, and may even generate artificial or induced microclimates with steep temperature (T) and humidity (RH) fluctuations that may destabilise the fragile balance between indoor climate and conservation of the artistic and architectural heritage [1,4,5,7,10,11].…”
Section: Introductionmentioning
confidence: 99%
“…This model type needs sufficient amount of measurement data for parameter identification and some information about the properties of the building. Generally, the methodology adopts a simplified physical model structure and then its parameters are estimated using measured data [36,37].…”
Section: Introductionmentioning
confidence: 99%