Master's Thesis Carlos Domingos

 

Improvement of a physiological human model

At the institute for Energy Efficient Buildings and Indoor Climate the 33 node thermal comfort
model (33NCM)was developed for the analysis of inhomogeneous indoor environments. Themodel
can be separated into a physiological model, which calculates the thermal body state and a psychological
model which calculates the thermal sensation and comfort based on the thermal body
state. The model can be used as stand-alone or in coupled mode with computational fluid dynamics
(CFD) calculations of the thermal boundary conditions indoors.
The master thesis has its focus on the physiologicalmodel programmed inModelica. From a literature
review data sets formodel validation was extracted. From the data analysis and the model testing
an approach for the model improvementwas developed. The usability and stability of themodel
were improved, e.g. through the integration of records, perspiration and a redraft of if-statements.
The results were summarized to be usable for a validation manual. The model improvements were
finally integrated in a coupled simulation between the comfort model and a CFD calculation for a
small computational domain with one person. For different boundary conditions themodel stability
was checked.