ASHRAE OR-05-17-1-2005 Modeling Filter Bypass Impact on Filter Efficiency《模拟滤波器旁路 过滤效率》.pdf
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1、OR-05-17-1 Modeling Filter Bypass: Impact on Filter Efficiency Matthew Ward ABSTRACT Current models and test methods for determining filter eficiency ignore filter bypass, the air that circumvents filter media because ofgaps around thefilter orjlter housing. In this papel; we develop a general model
2、 to estimate the size-resolved particle removal eficiency, including bypass, of HVACfilters. The model applies the measuredpressure drop of the filter to determine the air-ow through the bypass cracks and accounts for particle loss in the bypass cracks. We consider a particle size range of 0.01 to 1
3、 O ,um, nine typical commercial and resi- dentialfilters in clean and dust-loaded configurations, and a wide range of bypass gaps typical of those found in realfilter installations. The model suggests that gaps on the order of 1 mm around well-seatedfilters have little efect on the perfor- mance of
4、mostfilters. For high pressure dropfilters, small gaps decrease filter performance and large gaps substantially decrease filter performance. Because higher eficiencyjlters also typically have a largerpressure drop, bypass tends to have a larger effect on highperformancejlters. The resultsprovided he
5、re suggest that bypass can dramatically affectfilterperfor- mance. INTRODUCTION Filtration in HVAC systems is the most widely used method for protecting people and equipment from airborne particulate matter. To aid in filter selection, there are several standards that address HVAC filtration efficac
6、y, including ASHRAE Standard 52.2, Method of Testing General Ventila- tion Air-Cleaning Devices for Removal Eficiency by Particle Size (ASHRAE 1999) and ASHRAE Standard 52. I, Gravimet- ric and Dust-Spot Procedures for Testing Air-Cleaning Devices Used in General Ventilation for Removing Particulate
7、 Jeffrey Siegel, PhD Member ASHRAE Matter (ASHRAE 1992). The result of an ASHRAE Standard 52.2 test includes the Minimum Efficiency Reporting Value (MERV), which classifies filters according to their efficiency. Standard 52.2, as well as most other filter test methodologies, are tests of the filter
8、media, rather than the installed filter system. When applied to real systems, filter test results implicitly assume that no bypass exists around filters. Exam- ination of most residential and commercial HVAC systems suggests that this is not a good assumption: both small and large gaps are common. T
9、he purpose of this paper is to simu- late the effect of filter bypass on common filters. HVAC filtration has been widely studied, and severa1 studies have measured particle-size resolved efficiencies for a variety of filters (e.g., Hanley et al. 1994; Raynor and Chae 2003). Filter efficiency curves
10、are typically U-shaped with very small particles ( 5 pm) removed by inertial mechanisms. Although most measurements have been made with filter bypass intentionally sealed, there are numerous anecdotal reports of particle bypass. Braun (1 986) reported that catastrophic filter bypass led to fouling o
11、f an evaporator coil. Ottney (1 993) and several others suggest that eliminating filter bypass is an important component of achieving accept- able indoor air quality. Siegel (2002) simulated filter bypass and suggested that even moderate amounts of filter bypass can dramatically increase HVAC heat e
12、xchanger fouling. Despite its obvious importance, we know of no existing mathematical models for filter bypass, and decision makers have limited information available on the effect of bypass. In this paper we present a model of filter bypass that predicts the amount of air that will bypass a filter
13、and the effect on overall filter efficiency. The most important independent parameters Matthew Ward is a graduate student and Jeffrey Siegel is an assistant professor in the Department of Civil Engineering, The University of Texas at Austin. 02005 ASHRAE. 1 o91 are the size (i.e., gap width) and geo
14、metry of the gaps around the filter and the efficiency and pressure drop of the filter. We report several parameters including the volumetric airflow that bypasses the filter (QB) and the effective filter efficiency as a function of particle diameter (qe$ for the filter system (filter + bypass). We
15、apply our model to a variety of commonly used HVAC filters in order to understand the interplay between filter efficiency, pressure drop, and bypass. From these simu- lations, we calculate the effective MERV (MERV Mosley et al. 2001; Carrie and Modera 2002). To account for PB, we adapted the model o
16、f Liu and Nazaroff (2001) for particle penetration efficiency through a building envelope crack. As shown in Equation 4, Liu and Nazaroff (2001) modeled parti- cle penetration through a rectangular crack as the product of penetration due to individual particle removal mechanisms. PB = PgXPdXPi“PgXPd
17、 (4) Pg, particle penetration due to gravitational settling, is assumed to be independent of Pd, particle penetration due to dimision, since these two particle removal mechanisms are significant for different sized particles. Pi, particle penetration due to impaction, and Pg are not independent, and
18、 particles with enough inertia to be removed by impaction usually are removed by gravitational settling. Therefore, we have neglected Pi in order to avoid overestimating the removal of larger particles in the gaps. The model of Liu and Nazaroff was intended for cracks in buildings where AP is less t
19、han 10 Pa, whereas the AP across an HVAC filter can be greater than 100 Pa. However, Liu and Nazaroffs reasoning should extend to HVAC filter gaps because it is based on the Baker et al. (1987) relationship between QB and AP, which was vali- dated for AP up to 100 Pa and applies theoretically for hi
20、gher AP. Liu and Nazaroff (2003) later experimentally validated their model. Model Parameters The model was applied to ten different HVAC filters with particle size, pressure drop, and gap shape varied. The face velocity (and, hence, QF) was held constant for each filter. Table 1 describes each filt
21、er. Effective particle removal efficiency, qeP was compared for each filter with five gap shapes, while AP and QF were held constant. The gap configurations were characterized as 1092 ASHRAE Transactions: Symposia Table 1. Filter Characteristics U-Shaped Straight-Through U-Shaped 1 mm gap 1 mm gap 1
22、0 mm gap Dimension No Bypass 2 bends O bends 2 bends H O 1mtl-I lmm 10 mm L O W O Filter perimeter Filter perimeter Filter perimeter Filter depth + 2x20 m Filter depth Filter depth + 2x20 mm Filter Name Furnace filter* Self-charging panel filter* Pleated panel filter* Panel electronic filter* Pleate
23、d paper-media filter* Pocket filter* MERV t MERV 1 1 MERV lSt Straight-Through 10 mm gap O bends 10 mm Filter depth Filter perimeter Filter Depth (m) 0.025 0.025 0.025 0.025 O. 150 0.560 0.127 0.102 0.051 Filter Face Area (m2) 0.372 0.372 0.258 0.372 0.372 0.372 0.315 0.330 0.372 Face Velocity his)
24、1.30 1.30 1.87 1.30 1.30 i .30 1.50 2.50 2.50 Display Element Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 Fig. 9 Fig. 10 follows: the first was the no bypass case; the second, H= 1 mm and n = 2, was chosen to represent the lower bound on QB in which a filter is well seated around its perimeter
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