Coupling strategies for combined simulation using multizone and building envelope models

Combined heat, air, moisture and pollutant simulations (CHAMPS) at the building system level are essential for improving energy efficiency and indoor environmental quality. This paper discusses the technical challenges and possible solutions to the problem of coupling an envelope model (CHAMSBES) with a multizone/network model for inter-zonal air and pollutant transport. A representative multizone solver was written, which solves the coupled heat, air, moisture and pollutant transport equations.


We already have had theoretical model to predict temperature and humidity variations in a room. Manyworks have estimated the accuracy of the numerical model, but they might be influenced by the airmovement. Thus, theoretically the temperature and humidity variations should be solved with airmovement in a room. In this paper, I calculated the minute temperature and moisture distributions in aroom which has the moisture buffering effects by the porous walls. The room space is regarded asrectangular box which has two hole, inlet and outlet for ventilation.

A synergy-facade in a paslink test cell

This paper describes a modular facade system, which supplies the room behind with the necessary amounts of heat, light and fresh air. Aims of the development of this facade were both to achieve a high degree of comfort for the users and to save energy in comparison to a conventional facade. The experimental investigations to assess and to optimize the facade system were performed in a PASLINK test cell. These test cells allow measurements of the thermal and solar performance of facade elements in original dimensions and under natural climate conditions.

On controlling indoor thermal and moisture content for an occupied building.

The focus of this paper is on controlling ventilation rate to provide acceptable temperature and relative humidity in the space being ventilated. To this end, a system of heat and moisture balance equations for building indoor and components is described. The system is solved numerically. Based on a series of indoor temperature and moisture measurements for our experimental house and well-mixed air distribution in room, moisture generation rate is estimated. The model is validated by simulating the experimental house. Good agreement between the simulated and measured results is obtained.