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A comparative study of the effects of ventilation-purification strategies on air quality and energy consumption in Beijing, China

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Abstract

In countries suffering from heavy ambient air pollution, ventilation is a problem, as ventilation intakes outdoor air pollutants, such as particulate matter with an aerodynamic diameter less than 2.5 um (PM2.5), while removing indoor air pollutants. Thus, it is important to identify appropriate ventilation-purification strategies to build healthy indoor environments with low energy consumption. This study reports the comparison of two sets of strategies, i.e., mechanical ventilation with filters and natural ventilation with indoor air cleaners, in respect to energy consumption and the PM2.5 and carbon dioxide (CO2) exposure of occupants in a typical apartment in Beijing, China. A dynamic mass balance model was employed to calculate the PM2.5 and CO2 exposure concentrations, while the energy consumption of heating and cooling was simulated with the Designer’s Simulation Toolkit. It was found that natural ventilation with air cleaners provided lower PM2.5 exposure compared with that of mechanical ventilation with filters; however, mechanical ventilation achieved a lower CO2 exposure concentration. The annual cooling, heating, and fan energy consumption of natural ventilation strategies are lower than those of mechanical ventilation strategies. With respect to natural ventilation, an infiltration rate of 0.3–0.4 h−1 was the preferred setting, which led to low PM2.5 and CO2 exposure with lower energy consumption. The basic requirements for controlling indoor PM2.5 could be met if the threshold is set at 25 µg/m3. The results provide guidelines on how to combine multiple ventilation purification strategies to improve indoor air quality with lower energy usage.

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References

  • ASHRAE (2013). Standard 62.1-2013. Ventilation for Acceptable Indoor Air Quality. Atlanta, GA, USA: American Society of Heating Refrigeration, and Air-Conditioning Engineers.

    Google Scholar 

  • Beijing Municipal Commission of Urban Planning (2012). Design Standard for Energy Efficiency of Residential Buildings DB11/891-2012. (in Chinese)

  • Ben-David T, Waring MS (2016). Impact of natural versus mechanical ventilation on simulated indoor air quality and energy consumption in offices in fourteen US cities. Building and Environment, 104: 320–336.

    Google Scholar 

  • Ben-David T, Rackes A, Waring MS (2017). Alternative ventilation strategies in US offices: Saving energy while enhancing work performance, reducing absenteeism, and considering outdoor pollutant exposure tradeoffs. Building and Environment, 116: 140–157.

    Google Scholar 

  • Ben-David T, Waring MS (2018). Interplay of ventilation and filtration: Differential analysis of cost function combining energy use and indoor exposure to PM2.5 and ozone. Building and Environment, 128: 320–335.

    Google Scholar 

  • Berglund B, Brunekreef B, Knöppe H, Lindvall T, Maroni M, et al. (1992). Effects of indoor air pollution on human health. Indoor Air, 2: 2–25.

    Google Scholar 

  • Boxer PA (1990). Indoor air quality: A psychosocial perspective. Journal of Occupational and Environmental Medicine, 32: 425–428.

    Google Scholar 

  • Chen X, Yang H (2018). Integrated energy performance optimization of a passively designed high-rise residential building in different climatic zones of China. Applied Energy, 215: 145–158.

    Google Scholar 

  • Chen C, Zhao Y, Zhao B (2018). Emission rates of multiple air pollutants generated from Chinese residential cooking. Environmental Science & Technology, 52: 1081–1087.

    Google Scholar 

  • Chen J, Brager GS, Augenbroe G, Song X (2019). Impact of outdoor air quality on the natural ventilation usage of commercial buildings in the US. Applied Energy, 235: 673–684.

    Google Scholar 

  • Cho W, Song D, Hwang S, Yun S (2015). Energy-efficient ventilation with air-cleaning mode and demand control in a multi-residential building. Energy and Buildings, 90: 6–14.

    Google Scholar 

  • Ciuzas D, Prasauskas T, Krugly E, Jurelionis A, Seduikyte L, Martuzevicius D (2016). Indoor air quality management by combined ventilation and air cleaning: An experimental study. Aerosol and Air Quality Research, 16: 2550–2559.

    Google Scholar 

  • Cui X, Mohan B, Islam MR, Chou SK, Chua KJ (2017). Energy saving potential of an air treatment system for improved building indoor air quality in Singapore. Energy Procedia, 143: 283–288.

    Google Scholar 

  • Fisk WJ, Rosenfeld AH (1997). Estimates of improved productivity and health from better indoor environments. Indoor Air, 7: 158–172.

    Google Scholar 

  • Fisk WJ (2000). Health and productivity gains from better indoo renvironments and their relationship with building energye fficiency. Annual Review of Energy and the Environment, 25: 537–566.

    Google Scholar 

  • Guo R, Hu Y, Liu M, Heiselberg P (2019). Influence of design parameters on the night ventilation performance in office buildings based on sensitivity analysis. Sustainable Cities and Society, 50: 101661.

    Google Scholar 

  • Han K, Zhang JS, Guo B (2014). A novel approach of integrating ventilation and air cleaning for sustainable and healthy office environments. Energy and Buildings, 76: 32–42.

    Google Scholar 

  • He Y, Liu M, Kvan T, Peng S (2017). An enthalpy-based energy savings estimation method targeting thermal comfort level in naturally ventilated buildings in hot-humid summer zones. Applied Energy, 187: 717–731.

    Google Scholar 

  • Hesaraki A, Myhren JA, Holmberg S (2015). Influence of different ventilation levels on indoor air quality and energy savings: A case study of a single-family house. Sustainable Cities and Society, 19: 165–172.

    Google Scholar 

  • Hong T, Jiang Y (1997). A new multizone model for the simulation of building thermal performance. Building and Environment, 32: 123–128.

    Google Scholar 

  • Hong T, Zhang J, Jiang Y (1997). IISABRE: An integrated building simulation environment. Building and Environment, 32: 219–224.

    Google Scholar 

  • Ji W, Zhao B (2015). Contribution of outdoor-originating particles, indoor-emitted particles and indoor secondary organic aerosol (SOA) to residential indoor PM2.5 concentration: A model-based estimation. Building and Environment, 90: 196–205.

    Google Scholar 

  • Ji W, Li H, Zhao B, Deng F (2018). Tracer element for indoor PM2.5 in China migrated from outdoor. Atmospheric Environment, 176: 171–178.

    Google Scholar 

  • Lam JC, Wan KKW, Tsang CL, Yang L (2008). Building energy efficiency in different climates. Energy Conversion and Management, 49: 2354–2366.

    Google Scholar 

  • Li Y, Chen Z (2003). A balance-point method for assessing the effect of natural ventilation on indoor particle concentrations. Atmospheric Environment, 37: 4277–4285.

    Google Scholar 

  • MacIntosh DL, Minegishi T, Kaufman M, Baker BJ, Allen JG, et al. (2010). The benefits of whole-house in-duct air cleaning in reducing exposures to fine particulate matter of outdoor origin: A modeling analysis. Journal of Exposure Science and Environmental Epidemiology, 20: 213–224.

    Google Scholar 

  • Martins NR, Carrilho da Graça G (2017). Impact of outdoor PM2.5 on natural ventilation usability in California’s nondomestic buildings. Applied Energy, 189: 711–724.

    Google Scholar 

  • Maula H, Hongisto V, Naatula V, Haapakangas A, Koskela H (2017). The effect of low ventilation rate with elevated bioeffluent concentration on work performance, perceived indoor air quality, and health symptoms. Indoor Air, 27: 1141–1153.

    Google Scholar 

  • Ministry of Environment Protection of China (2012). Ambient air quality standards, GB 3095–2012. Beijing: Standards Press of China. (in Chinese)

    Google Scholar 

  • Ministry of Environment Protection of China (2013). Exposure Factors Handbook of Chinese Population: Adult Edition. Beijing: China Environmental Science Press. (in Chinese)

    Google Scholar 

  • Ministry of Housing and Urban-Rural Development of China (2010). Design Standard for Energy Efficiency of Residential Buildings in Severe Cold and Cold Zones. JGJ26–2010. China: Beijing: China Architecture and Building Press. (in Chinese)

    Google Scholar 

  • Oropeza-Perez I, Østergaard PA (2014a). Energy saving potential of utilizing natural ventilation under warm conditions—A case study of Mexico. Applied Energy, 130: 20–32.

    Google Scholar 

  • Oropeza-Perez I, Østergaard PA (2014b). Potential of natural ventilation in temperate countries—A case study of Denmark. Applied Energy, 114: 520–530.

    Google Scholar 

  • Quang TN, He C, Morawska L, Knibbs LD (2013). Influence of ventilation and filtration on indoor particle concentrations in urban office buildings. Atmospheric Environment, 79: 41–52.

    Google Scholar 

  • Rackes A, Waring MS (2013). Modeling impacts of dynamic ventilation strategies on indoor air quality of offices in six US cities. Building and Environment, 60: 243–253.

    Google Scholar 

  • Rackes A, Waring MS (2014). Using multiobjective optimizations to discover dynamic building ventilation strategies that can improve indoor air quality and reduce energy use. Energy and Buildings, 75: 272–280.

    Google Scholar 

  • Rackes A, Waring MS (2017). Alternative ventilation strategies in US offices: Comprehensive assessment and sensitivity analysis of energy saving potential. Building and Environment, 116: 30–44.

    Google Scholar 

  • Rosbach J, Krop E, Vonk M, van Ginkel J, Meliefste C, et al. (2016). Classroom ventilation and indoor air quality—Results from the FRESH intervention study. Indoor Air, 26: 538–545.

    Google Scholar 

  • Sharpe T, Farren P, Howieson S, Tuohy P, McQuillan J (2015). Occupant interactions and effectiveness of natural ventilation strategies in contemporary new housing in Scotland, UK. International Journal of Environmental Research and Public Health, 12: 8480–8497.

    Google Scholar 

  • Shi S, Chen C, Zhao B (2015). Air infiltration rate distributions of residences in Beijing. Building and Environment, 92: 528–537.

    Google Scholar 

  • Shi S, Zhao B (2016). Occupants’ interactions with windows in 8 residential apartments in Beijing and Nanjing, China. Building Simulation, 9: 221–231.

    Google Scholar 

  • Shi S, Chen C, Zhao B (2017). Modifications of exposure to ambient particulate matter: Tackling bias in using ambient concentration as surrogate with particle infiltration factor and ambient exposure factor. Environmental Pollution, 220: 337–347.

    Google Scholar 

  • Standardization Administration of China (2015). Air Cleaner, GB/T 18801–2015. Beijing: Standards Press of China. (in Chinese)

    Google Scholar 

  • Sundell J, Levin H, Nazaroff WW, Cain WS, Fisk WJ, et al. (2011). Ventilation rates and health: Multidisciplinary review of the scientific literature. Indoor Air, 21: 191–204.

    Google Scholar 

  • Sundell J (2004). On the history of indoor air quality and health. Indoor Air, 14: 51–58.

    Google Scholar 

  • Tong Z, Chen Y, Malkawi A (2017). Estimating natural ventilation potential for high-rise buildings considering boundary layer meteorology. Applied Energy, 193: 276–286.

    Google Scholar 

  • Tong Z, Chen Y, Malkawi A, Liu Z, Freeman RB (2016). Energy saving potential of natural ventilation in China: The impact of ambient air pollution. Applied Energy, 179: 660–668.

    Google Scholar 

  • Wang B, Malkawi A (2019). Design-based natural ventilation evaluation in early stage for high performance buildings. Sustainable Cities and Society, 45: 25–37.

    Google Scholar 

  • WHO (2006). Air Quality Guidelines: Global Update 2005: Particulate Matter, Ozone, Nitrogen Dioxide, and Sulfur Dioxide. World Health Organization.

  • Yan D, Xia J, Tang W, Song F, Zhang X, et al. (2008). DeST—An integrated building simulation toolkit Part I: Fundamentals. Building Simulation, 1: 95–110.

    Google Scholar 

  • You R, Cui W, Chen C, Zhao B (2013). Measuring the short-term emission rates of particles in the “personal cloud” with different clothes and activity intensities in a sealed chamber. Aerosol and Air Quality Research, 13: 911–921.

    Google Scholar 

  • Yu T, Heiselberg P, Lei B, Zhang C, Pomianowski M, et al. (2016). Experimental study on the dynamic performance of a novel system combining natural ventilation with diffuse ceiling inlet and TABS. Applied Energy, 169: 218–229.

    Google Scholar 

  • Zhang X, Xia J, Jiang Z, Huang J, Qin R, et al. (2008). DeST—An integrated building simulation toolkit Part II: Applications. Building Simulation, 1: 193–209.

    Google Scholar 

  • Zhao B, Chen C, Zhou B (2018). Is there a timelier solution to air pollution in today’s cities? The Lancet Planetary Health, 2: e240.

    Google Scholar 

Download references

Acknowledgements

This research was supported by the China Postdoctoral Science Foundation (No. 2019M650013), Fundamental Research Funds for the Central Universities (No. FRF-TP-18-083A1), and National Natural Science Foundation of China (No. 51908032). Professor Da Yan and Dr. Jingjing An helped to build the energy simulation model, and we greatly appreciate their assistance.

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Authors and Affiliations

  1. School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Wenjing Ji

  2. Department of Building Science, School of Architecture, Tsinghua University, Beijing, 100084, China

    Chen Chen & Bin Zhao

  3. Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing, 100084, China

    Bin Zhao

Authors
  1. Wenjing Ji
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  2. Chen Chen
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  3. Bin Zhao
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Correspondence to Bin Zhao.

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A comparative study of the effects of ventilation-purification strategies on air quality and energy consumption in Beijing, China

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Ji, W., Chen, C. & Zhao, B. A comparative study of the effects of ventilation-purification strategies on air quality and energy consumption in Beijing, China. Build. Simul. 14, 813–825 (2021). https://doi.org/10.1007/s12273-020-0694-2

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  • DOI: https://doi.org/10.1007/s12273-020-0694-2

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