This paper presents the development of a simulation tool based on the Matlab computational environment for building temperature performance analysis with automatic control. The simulation tool contains mathematical models for buildings, HVAC (Heating, Ventilation and Air Conditioning) systems, sensors, weather data and control algorithms. The building mathematical model is described in terms of...

The objective of this study was to explore the potential a machine learning algorithm, Support Vector Machine Regression (SVR), forecast long-term hygrothermal responses and moisture performance light wood frame massive timber walls. Hygrothermal simulations were performed using 31-year long series climate data in three cities across Canada. Then, first 5 years used each case train model, which...

Material properties are requisite for all coupled heat and moisture transfer analysis, crucial to obtain clear insight into optimized control of the hygrothermal processes in building envelopes built environment. Unfortunately, current databases reported studies fail provide hygric porous materials exhaustively. This study characterized three – calcium silicate, autoclaved aerated concrete cera...

Wood shrinks during drying with the departure of bond water. Along the fibre direction, the magnitude of this shrinkage is mainly governed by the orientation of cellulose microfibrils (MF) in the cell wall. However, tension wood has an unexpectedly high longitudinal shrinkage considering the fact that MFs are oriented nearly parallel to the cell direction. This effect is thought to be due to th...