ASHRAE LV-11-C011-2011 Prediction of Air Mixing from High Sidewall Diffusers in Cooling Mode.pdf
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1、El Hassan Ridouaneg3g76g86g3g68g3g51g82g86g87g71g82g70g87g82g85g68g79g3g53g72g86g72g68g85g70g75g72g85g3g82g73g3g53g72g86g76g71g72g81g87g76g68g79g3g37g88g76g79g71g76g81g74g3g54g92g86g87g72g80g86g3g68g87g3g87g75g72g3g49g68g87g76g82g81g68g79g3g53g72g81g72g90g68g69g79g72g3g40g81g72g85g74g92g3g47g68g69g8
2、2g85g68g87g82g85g92g15g3g42g82g79g71g72g81g15g3g38g82g17g3Keith Gawlikg3g76g86g3g68g3g54g72g81g76g82g85g3g40g81g74g76g81g72g72g85g3g82g73g3g55g75g72g85g80g68g79g3g54g92g86g87g72g80g86g3g68g87g3g87g75g72g3g49g68g87g76g82g81g68g79g3g53g72g81g72g90g68g69g79g72g3g40g81g72g85g74g92g3g47g68g69g82g85g68g87
3、g82g85g92g15g3g42g82g79g71g72g81g15g3g38g50g17g3 g3 g3Prediction of Air Mixing from High Sidewall Diffusers in Cooling Mode El Hassan Ridouane, PhD Keith Gawlik, PhD Member ASHRAE Member ASHRAE ABSTRACT Computational Fluid Dynamics (CFD) modeling was used to evaluate the performance of high sidewall
4、 air supply in cooling mode. The research focused on the design, placement, and operation of air supply diffusers located high on a sidewall and return grilles located near the floor on the same sidewall. Parameters of the study are the supply velocity, supply temperature, diffuser size and room dim
5、ensions. Thermal loads characteristic of high performance homes were applied at the walls and room temperature was controlled via a thermostat. The results are intended to provide information to guide the selection of high sidewall supply diffusers to provide proper room air mixing and thermal comfo
6、rt for cooling of high performance homes. INTRODUCTION As Building America (BA) homes begin to reach the 40 to 50% performance levels, the downsizing of space conditioning systems will begin to reach the point where the air flow volumes required to meet the small remaining heating and cooling loads
7、will not be large enough to maintain uniform mixing of room air. This project focused on resolving this technical barrier so that uniform temperatures can be maintained within future homes even though the cooling and heating capacities required to heat and cool the homes are significantly smaller th
8、an current homes. In addition, well insulated homes with advanced windows do not require perimeter heating, so centralized, compact duct systems in interior walls can be used. Compact systems are 20-25% less expensive than traditional designs, and offer higher system efficiency through reduced duct
9、leakage and duct length, and by having the ducts in conditioned spaces (Griffiths and Zoeller, 2001). High sidewall diffusers are one of the simplest and most promising approaches of delivering conditioned air in very high performance homes since they are not blocked by furniture and, with proper de
10、sign, can provide good mixing of the conditioned air in the space. This report describes simulated performance of high sidewall diffusers for typical residential applications. The task addressed the evaluation of these systems for cases in which the room is recovering from a temperature setback stat
11、e. This was considered to be a worst case operating condition for the high sidewall diffuser system, even though it may not represent the most common operating mode. However, if the system performs well in terms of providing good air mixing during transient setback recovery, it will likely perform w
12、ell during steady-state, part load and design load operation. A design guide to evaluate the performance of high sidewall air supply for residential applications was developed by Temple (2003). Following this guide, representative room and diffuser geometries, air supply flow rates, and temperatures
13、 were identified and modeled using Fluent CFD software. The model addressed thermal loads that are representative of high performance homes. A fixed load density of 10 Btu/h.ft2(31.52 W/m2) was considered in this study. This density was multiplied by the floor area and the outcome was distributed be
14、tween the ceiling and at the exterior wall opposite to the diffuser jet. These loads were distributed based on R-20 wall and R-30 ceiling. A 4 in. (0.1 m) by 4 in. (0.1 m) thermostat with a dead-band between 70F (294.3 K) and 72F (295.4 K) was built into the model to control the room temperature. Th
15、e thermostat was mounted on the wall parallel to the diffuser jet at 4 ft. (1.22 m) from the floor (see Figure 1). g3LV-11-C011 2011 ASHRAE 872011. American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (www.ashrae.org). Published in ASHRAE Transactions, Volume 117, Part 1.
16、For personal use only. Additional reproduction, distribution, or transmission in either print or digital form is not permitted without ASHRAES prior written permission.NUMERICAL MODEL The analysis considered two different rooms: Room A is 12 ft (3.66 m) long 11 ft (3.35 m) wide 9 ft (2.74 m) high, s
17、upplied by an 8 in. (0.2 m) 4 in. (0.1 m) diffuser and Room B is 12 ft (3.66 m) long 9 ft (2.74 m) wide 9 ft (2.74 m) high, supplied by a 10 in. (0.25 m) 6 in. (0.15 m) diffuser. The diffusers were based on available products and used the geometry and open area of the J #23#23#23Figure 1 Sketch of t
18、he computational domain (not to scale) showing the locations of supply, return, and thermostat in the room. Thermal loads are applied only to the ceiling and to the right wall Symmetry plane Supply L W/2 H Thermal load Thermal load Thermostat Return 88 ASHRAE TransactionsCOMFORT CRITERIA The air dif
19、fusion performance index (ADPI) was calculated at the end of the simulation when one air change was supplied to the room. ADPI is defined in a zone between 0.1 m and 1.7 m from the floor (ASHRAE 1992) and is a simple comfort criterion based on local temperature, average temperature in the whole room
20、, and local air speed. ADPI uses effective draft temperature, ;#23#23#23)30(07.0)( =xavgVTT ;#23#23#23;#23#23#23;#23#23#23;#23#23#23;#23#23#23;#23#23#23;#23#23#23;#23#23#23(1);#23#23#23;#23#23#23;#23#23#23where T is the local air temperature F, Tavgis the average temperature in the occupied zone F,
21、and Vxthe local air speed fpm. A high percentage of occupants are comfortable in indoor environments when the effective draft temperature is between -3F (-1.5C) and 2F (1C) and local air speed below 70 fpm (0.35 m/s) for maximum comfort (ASHRAE 2009). In the zone of interest, effective draft tempera
22、ture and air speed were determined for each cell. The number of cells meeting these requirements was compared to the total number of cells to determine the ADPI for the simulation. Acceptable comfort level exists in the room when ADPI is in the range between 70 and 90%. Good comfort level is guarant
23、eed when the ADPI is 90% or higher. RESULTS AND DISCUSSION The results will be presented first for Room A and then for Room B by the temperature distribution and comfort level for different operating conditions. The time history of the thermostat temperature in Room A supplied by TSof 55F (285.9 K)
24、is presented in Figure 2 for two different supply velocities. The corresponding velocity variations at the diffuser are plotted in Figure 3. The time at which one air change was supplied to the room is marked on Figure 2. The temperature at the thermostat decreased quickly with the supply velocity o
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