Autocorrelation

Improving the knowledge on uncertainty for fan pressurization measurement is of first importance. It allows to assess the reliability of the measurement, which is essential when comparing the results with benchmarks or standards, but it also gives a better understanding, and thus a chance of improving, the measurement procedure. In this context, recent studies on alternative regression techniques highlights the importance of identifying and quantifying the sources of uncertainty.

Parameter identification techniques are a powerful tool for the determination of thermophysical properties of building components. However, their correct application often demands a certain degree of experience.Especially in short or/and heavily disturbed data sets a formal use of a parameter identification software can lead to completely wrong results.This paper illustrates these problems by means of some simulation calculations and encourages to a discussion about possible solutions.