IBPSA2005

This paper gives an overview of recent developments and results of a new integrated heat, air and moisture (HAM) modeling toolkit in Matlab named HAMLab. The recent developments include integration of a whole building model with building systems and controllers, 2D/3D HAM transport in constructions and 2D airflow respectively. The results include a short review on HAM models, a motivation of the selected simulation environment Matlab and extensive verification/ validation results. Furthermore, the integration capabilities are demonstrated by applications.

This paper represents the next step in the development of occupant responsive optimal control for double-skin systems that was presented at the IBPSA 2003 conference. The presented occupant responsive optimal control (Park et al, 2003b) optimizes in real-time the performance of the facade in terms of energy, daylighting, visual comfort and thermal comfort.

Burn Intensive Care Units (ICU) have among the most stringent design criteria for patient rooms in hospital design. Communication between the healthcare professionals, the architect designing the room layout and the mechanical engineer designing the HVAC system is critical to ensure that their design converges to meet the required therapeutic criteria. A Computational Fluid Dynamic (CFD) analysis played an important part in this process for a University Medical Center, and a physical test of the final set-up helped to fine-tune and confirm the design.

Among  the  tools  which  serve  to  predict  heat  and mass transfer in a mechanically ventilated room, the CPD is increasingly used . However, this type of tool needs a correct description of  the  boundary conditions, especially concerning the air inlet. The ventilation inlet is often geometrically complex and many  models  exist   in   order   to   simplify   their eq uivalent bou ndary conditions included in CFD codes.

Computational Fluid Dynamics (CFD) simulation technique was used to study the effect of air distribution and supply parameters on ventilation performance and comfort of occupants in a government office building in Ottawa, Canada. The floor studied had two separate ceiling-based air supply systems, a slot system and a nozzle system with personal environmental control capability. In situ measurements were used to validate the results of the CFD simulation. Good agreements between the measured and predicted data were observed.

Hygrothermal modeling of building envelope has received much attention and development in recent years; to increase its flexibility and accessibility is a consequential task. A powerful multi-physics simulation program, FEMLAB is applied to explore an efficient method of hygrothermal modeling. This paper presents a hygrothermal model and its application to analyze moisture behavior of typical North American building envelope systems. Comparison between simulation and experiment is made.

The aim of this paper is to show the influence of the atmospheric boundary layer profile on the distribution of velocity in a building having two large openings. The knowledge of the flow form inside a building is useful to define a thermal environment favourable with thermal comfort and good air quality. In computational fluid dynamics, several profiles of atmospheric boundary layer can be used like logarithmic profiles or power profiles. This paper shows the impact of these profiles on the indoor airflow. Non-ventilated or ventilated parts of room are found.

This paper focuses initially on the calculation of the flows of exergy corresponding to the energy demand of buildings for the following uses: heating and cooling in the air handling units, local (room level) heating and cooling, lighting, ventilators and electrical appliances. The calculation method is presented as well as its implementation in the existing energy-calculation software.

Building performance simulation tools have significantly improved in quality and depth of analysis capability over the past thirty-five years. Yet despite these increased capabilities, simulation programs still depend on user entry for significant data about building components, loads, and other typically scheduled inputs. This often forces users to estimate values or find previously compiled sets of data for these inputs.