The present paper presents a numerical analysis of the difference in comfort level inside a room of a residential building when roof top turbine ventilator is installed. This analysis simulates various comfort factors which includes the indoor air movement, room temperature, Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD). Various test cases of ventilator exhaust rate were examined. The results showed that general comfort satisfying international standards in building can be achieved. This study also presents a qualitative and quantitative study of indoor air temperature and overall indoor air flow pattern. A promising conclusion that can be drawn from this study is that wind driven ventilators can play an important role in the design of a cost effective and energy efficient ventilation system inside a building.
Inadequate ventilation in a building can result in problems with moisture, unpleasant smell, lack of oxygen, and unacceptable content of poisons gases such as CO. Contaminants such as formaldehyde or radon can also accumulate in poorly ventilated homes, causing health problems. However, since resistance to pollutant varies from person to person, it is hard to accurately quantify the impact of ventilation on human beings. Various methods have been proposed based on the consideration of factors such as direct medical costs and lost earnings due to major illness as well as increased employee sickness days and lost productivities while on the job. From such studies, the productivity loss in the United States of America attributed directly to indoor air quality (IAQ) has been estimated to be approximately 14 minutes per day [
The last century has seen tremendous progress in technological development that is underpinning the progress of the modern day human civilization. The focus on these developments has been placed on energy efficiency and sustainable buildings for most governments around the world. Moreover, recent price hike in fossil and energy accelerates people’s awareness and attention in focusing the use of more sustainable solutions other than relying on fossil fuel. As a result, natural ventilation has become an increasingly attractive way of reducing energy consumption and cost in recent decades.
Engineers have exhausted ideas to evaluate the most cost effectiveness measures to achieve a renewable and sustainable goal. The Aerodynamic Research team at the University of New South Wales over the last decade has been actively applying novel aerodynamic concepts [4- 12] to harness the benefit of renewable energy by developing various methodologies and techniques [13-26] for cost effective environmental friendly devices.
Most of the measures applied on buildings sector have aimed to improve performance across all the metrics that include: saving building energy consumption, water efficiency, green house gas emissions reduction, indoor environmental quality improvement and stewardship of resources and sensitivity of their impacts [
Typical wind driven turbine ventilators as shown in
Experimental studies and CFD models have been applied to evaluate various indoor environments, such as apartments, offices, classrooms and factories [29-32]. The fundamental aerodynamic behaviour of rotating ventilator has been analysed in both numerically and experimentally [
The present paper extends the previous studies of Lien and Ahmed [
Commercial CFD packages are frequently used for indoor environment simulations and calculations [35-37].
In the present work the latest version of FLUENT is used. The equations for the conservation of mass, momentum and turbulence scales are solved in FLUENT using the control volume method in a three-dimensional bodycoordinate system. Recognising the results of CFD studies largely depend on the meshing quality, turbulence models, boundary conditions and difference schemes, a brief outline of them as used in the present modelling is summarised here.
A model house living room with dimension of 5 m long × 4 m wide × 3 m height was simulated in this study and is shown in
The accuracy of CFD simulations relies on the appropriate setting of physical boundary conditions. The controlled boundary conditions of the present work includes: the outside ambient condition, indoor heat sources generation, ventilator exhaust rate (air outlet), vent air inlet, humidity and radiation. The amount of heat generated by occupants and electrical appliances are represented by heat fluxes. Assumption of these heat fluxes are applied, i.e. the occupant metabolic rate is 70 W/m2, each lamps
generates 34 W of heat and 300 W for the Television unit. Atmospheric pressure was applied on the inlet and outlet condition. The air humidity set to at 50%.
The standard k-e model has been widely used in the industrial sector for its effectiveness in various engineering applications. For many cases, the choice of standard k-e was a good compromise except for natural ventilation with significant indoor thermal loads [
In the present work, RNG k-e based model is used to predict airflow velocity and temperatures in the model house room.
Following ISO 7730 [
• Local indoor air velocity < 0.25 m/s.
• Desired range of room temperature 24˚C - 26˚C.
• Predicted Mean Vote (PMV) margin –0.5 - 0.5.
• Predicted Percentage of Dissatisfied (PPD) ≤ 10%.
These comfort variables are monitored at all testing pole and compared with the benchmark values.
Four different ventilation exhaust rate of were 1 m/s, 1.5 m/s, 2 m/s, 3 m/s were simulated. For the purpose of observation, the exhaust rate was set at 1.5 m/s and the various flow pattern and temperature contour were plotted at three cut planes (z = 0.8 m, 2 m, 3.3 m) along the XY and YZ direction
The ventilated flows at three cut-planes were calculated and shown in Figures 3 and 4. The flow pattern results agree well with the experimental and numerical work by Stamou and Katsiris, 2006 [
1) The floor layer and incoming flow region The incoming flow (23˚C) through the vent is cooler than the room temperature (approximately 26˚C to 30˚C). A floor layer is formed as the cool air enters the room via the inlet, bends downwards due to buoyancy force.
2) The buoyant plumes region Large buoyant vertical plumes are formed, see Figures 3 and 4. These are originated from the heat sources; the occupant, the television unit, and the lights.
3) The ceiling layer and the outlet flow region The plumes from the heat sources travelled upwards until struck the ceiling and flowing along towards all directions. This phenomenon is shown in Figures 3 and 4 (Cut planes A and C).
4) The exit flow and re-circulation region The ventilator draws exhaust flow to exit from the ventilation duct and this creates a re-circulation region in the centre of the room. Other re-circulation regions were observed near the heat sources, largely caused by the buoyant plumes. The temperature profiles generally increases with the room vertical height. Higher temperature is observed in the region of the buoyant jets and the ceiling layer. The room temperature, except the buoyant plumes region, can be divided into three main zones: the cooler, the intermediate and the warmer. The results also indicate that the horizontal temperature variation is considerably less than the vertical profiles.
After analysed the flow field, the comfort level in the occupied zone is evaluated. Environment variables i.e. air temperature, air velocity and mean radiant temperature were calculated at 8 testing poles as shown in
The temperature plots indicated that the temperature showed an increasing trend with the height. The overall room temperature varied from 26.3˚C to 28.8˚C, except a low region of 24.7˚C, which was near the air inlet vent of 23˚C. Due to the fact that the overall flow pattern strongly depends on temperature change, the temperature gradient needs to be observed. From the results, it can be concluded that all temperature curves showed the gradient with three stages:
1) From floor to approximately 0.5 m At this range the temperature changed relatively rapid due to the heat convection between the bottom ground cold air and the hot air inside the room.
2) From 0.5 to 1.4 m in height The decreasing change of temperature gradient was observed. This indicated that the air temperature in the middle layer of the room varied very small; finally.
3) From 1.4 to 2.5 m in height The temperature gradient in this section is relatively smaller compare to the previous sections. The main flow driving force in this section is the buoyancy effect.
The air velocity variation plots indicate that peak air movement occurred near both ground and ceiling regions. The region between these two peaks has air velocity less than 0.05 m/s. It is noted that, areas with high air movement is at the bottom region of pole 2 and the top region of pole 7 which correspond well with the boundary conditions as they were located near the air inlet and outlet. The minimum air velocity movement region was around 0.5 m except for pole 4. This coincides with the observations of the flow pattern described in the previous section as the interaction of two bottom layer flow in opposite directions.
The PMV value largely depend on temperature, hence the trend of PMV plot as shown in
After observing the trend of the interested comfort variables, the mean values of variable are recalculated for
the regions of 0 to 2.5 m height with different ventilator exhaust rate (1, 1.5, 2 and 3 m/s). The results are shown in tabulated form where the temperature and air velocity are shown in
This study focused on the study of indoor air quality and comfort level when the turbine ventilator is installed. Four major comfort qualities: air velocity, temperature, PMV and PPD are evaluated and compared with ISO Standard 7730. Each of these aspects is discussed in this section.
The simulated results of the four exhaust rate indicate that air movement velocity at all test poles are within the range of 0.04 - 0.21 m/s. The highest air velocity was observed at the region near the inlet vent and the lowest one located at pole 8. According to ISO Standard 7730, the modelled air velocities are well within the comfort criteria of 0.25 m/s.
The results in
The acceptance to climate change for each individual is different, hence the evaluation process for comfort level is a very subjective task [
efforts by researchers have been spent to develop the international standards for maintaining comfortable indoor environment. The common used standards are ASHRAE [
The present study defines the value for the metabolic or activity rate in present study was set at 1.2 met (70 W/m2) and clothes thermal resistance was taken equal to 0.55 clo (0.085 W/m2). Based on the data obtained from the various exhaust rate, the corresponding range of PMV and PPD vales are 0.39 - 0.35 and 8.45% - 7.89%, respectively. The calculated PMV-PPD index indicates that the indoor air quality is satisfactory for thermal comfort. The positive value of PMV shows the indoor environment is slightly warmer than the ideal condition but still within the acceptable range.
From the analysis it can be concluded that the installation of ventilator improves the indoor comfort level for all test cases. The standard room comfort requirement as per set out by ISO 7730 can be achieved. However the indoor temperature is still slightly warmer than the optimum condition. The result of this investigation also implies that to further enhance the room temperature for the optimum condition, higher exhaust rate are required. This can be done through a larger capacity ventilator or a hybrid roof top ventilator. Recent experiment investigation by Lai [
The indoor air quality of a model house living room with installation of a rooftop turbine ventilator was simulated using CFD analysis. The results indicate that with the presence of the rooftop ventilator, the indoor air quality can meet the general requirements for comfort standards in various building codes. The results also showed that the comfort level increases with the exhaust rate induced by the turbine ventilator. This study presents a quantitative as well as qualitative study for indoor air quality that offered further scope to investigate the indoor air flow pattern inside a room. Thus a promising conclusion that can be drawn from this study is that CFD analysis could be used as a cost effective aid to future optimize the indoor air quality within a room.