ASHRAE OR-16-C024-2016 Modeling the Impact of Residential HVAC Filtration on Indoor Particles of Outdoor Origin (RP-1691).pdf
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1、 P. Azimi and D. Zhao are Ph.D. candidates in the Department of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago, IL. B. Stephens is an assistant professor in the Department of Civil, Architectural and Environmental Engineering, Illinois Institute of Tech
2、nology, Chicago, IL. Modeling the Impact of Residential HVAC Filtration on Indoor Particles of Outdoor Origin (RP-1691) Parham Azimi Dan Zhao Brent Stephens, PhD, PE Student Member ASHRAE Student Member ASHRAE Associate Member ABSTRACT Exposure to ambient fine particles (PM2.5: particles 2.5 m in di
3、ameter) and ultrafine particles (UFPs: particles 100 nm in diameter) has adverse effects on human health. Residential buildings greatly impact human exposure to outdoor particles because people spend more than 90% of their time indoors (and much of that time at home), and outdoor particles can infil
4、trate through building envelopes and mechanical ventilation systems with varying efficiencies. In this work, we model the impact of various combinations of central forced air HVAC filters and mechanical ventilation systems on indoor concentrations of fine and ultrafine particles of outdoor origin in
5、 six types of residential buildings including old, existing, and new homes relying on infiltration alone as well as new homes with supply-only, exhaust-only, and central-fan-integrated-supply (CFIS) with continuous exhaust ventilation. A typical 2025 ft2 (188.1 m2) one-story single-family home was m
6、odeled in all ASHRAE climate zones in addition to the 15 most polluted cities in the U.S., providing a total of 22 locations. Hourly outdoor pollutant concentrations were obtained from US EPA for each site. Hourly HVAC runtime fractions and air exchange rates were estimated using a combination of BE
7、opt and EnergyPlus. These inputs fed into a dynamic simulation in MATLAB to solve a discrete time-varying mass balance on indoor particles of outdoor origin in a well-mixed single zone based on physical particle source and removal mechanisms. Estimates of annual average PM2.5 infiltration factors ra
8、nged from 0.4 to 0.2, for filters with a minimum efficiency reporting value (MERV) of 5 and high-efficiency particulate air (HEPA) filter in the old homes respectively. In the existing homes relying on infiltration alone, as well as in the new homes with supply-only ventilation systems, the annual a
9、verage PM2.5 infiltration factor ranged from 0.2 to 0.15 with MERV 5 and HEPA filters respectively. PM2.5 infiltration factors were less than 0.05 for new homes relying on infiltration only, with exhaust-only ventilation, and CFIS ventilation for all HVAC filters. The modeled infiltration factors fo
10、r UFPs were lower in comparison with PM2.5 infiltration factors, but with similar trends ranging from 0.22 and 0.15 for old homes with MERV 5 and HEPA filters, respectively, to under 0.02 in new homes relying on infiltration alone for all filters. These data clearly demonstrate that higher-efficienc
11、y HVAC filters can meaningfully reduce indoor proportions of outdoor PM2.5 and UFPs inside residences, but both home vintage and climate zone strongly influence the results. In general, high efficiency HVAC filtration appears to have a greater influence on indoor PM2.5 and UFPs of outdoor origin in
12、older, less efficient homes with lower airtightness and longer system runtimes. INTRODUCTION Residential buildings can greatly impact human exposure to outdoor particle matter because Americans spend nearly 90% of their time indoors and nearly 70% of their time at home, on average (Klepeis et al. 20
13、01). Further, airborne particles of outdoor origin can infiltrate into residential buildings with varying efficiencies (Chen and Zhao 2011; B. Stephens and Siegel 2012). Therefore, much of human exposure to particles of outdoor origin in the U.S. actually occurs indoors, particularly inside residenc
14、es (Baxter et al. 2013). Relying on ambient concentrations alone without considering the mechanisms that influence indoor concentrations of outdoor particles can result in significant exposure misclassification for a large portion of the population. Moreover, high efficiency particle air filters ins
15、talled in central HVAC systems are increasingly being used to reduce indoor concentrations of particulate matter inside residences (Brauner et al. 2007). Several previous investigations have explored the impacts of HVAC filters on particle concentrations in residences through a combination of measur
16、ement and modeling, but they remain of limited value to ASHRAE membership for a combination of reasons, including: they have (1) considered only a narrow range of particle sizes or classes, (2) relied on filter classifications other than MERV, (3) investigated only a narrow range and variety of filt
17、ers, (4) not considered impacts of different types of mechanical ventilations, and/or (5) relied on static assumptions or modeled values for crucial input parameters (for modeling studies) or often failed to fully characterize the most influential parameters (for measurement studies). In this study,
18、 we have modeled the impact of a variety of central forced air HVAC filters on the indoor proportion of outdoor PM2.5 and UFPs in six common types of single-family homes located in multiple locations in the U.S., including three vintages of homes relying on infiltration alone (e.g., older, existing,
19、 and new homes) as well as a new home with three types of mechanical ventilation systems. METHODS Selection of Cities The selection of cities for modeling was designed to capture all 15 U.S. climate zones (thus yielding a wide variety of heating and cooling system operation), as well as the top 15 c
20、ities with the highest annual average outdoor PM2.5 concentrations summarized in the most recent Integrated Science Assessment for Particulate Matter (data coverage of 2005-2007) (US EPA 2009). A total of 22 cities were selected for modeling since some of the most polluted cities were in the same cl
21、imate zone as shown in Table 1. Table 1: List of Selected Cities, States, and Climate Zones City, State, (Climate zone) City, State, (Climate zone) City, State, (Climate zone) City, State, (Climate zone) Boston, MA, (5A) Birmingham, AL, (3A) Bismarck, ND, (7A) Riverside, CA, (3B) New York, NY, (4A)
22、St. Louis, MO, (4A) Colstrip, MT, (6B) Los Angeles, CA, (3B) Philadelphia, PA, (4A) Chicago, IL, (5A) Pinedale, WY, (7B) San Francisco, CA, (3C) Pittsburgh, PA, (5A) Miami, FL, (1A) Denver, CO, (5B) Seattle, WA, (4C) Detroit, MI, (5A) Houston, TX, (2A) Phoenix, AZ, (2B) Atlanta, GA, (3A) Blaine (Min
23、neapolis), MN, (6A) Albuquerque, NM, (4B) Model Home Characteristics and Beopt Modeling The same basic home geometry was used in each climate zone, although envelope characteristics differed by location and vintage. A 2,025 ft2 (188.1 m2) single-family home with three bedrooms, two bathrooms, 8 foot
24、 high ceilings, a natural gas furnace, and a central forced-air air-conditioning system was chosen as the basis for all vintages in all locations as it represents a very typical size and geometry for homes in the U.S. Basic home characteristics were all first input into BEopt for each home type, and
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