IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p12526-d931100.html
   My bibliography  Save this article

Assessment of Thermal Comfort and Air Quality of Room Conditions by Impinging Jet Ventilation Integrated with Ductless Personalized Ventilation

Author

Listed:
  • Bin Yang

    (School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
    School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China)

  • Pengju Liu

    (School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Yihang Liu

    (School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Dacheng Jin

    (School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Faming Wang

    (Department of Biosystems, KU Leuven, 3001 Leuven, Belgium)

Abstract

Advanced ventilation methods are responsible for creating an appropriate temperature environment with satisfactory inhaled air quality. The ductless personalized ventilation system integrated with impinging jet ventilation shows the good ventilation performance. In order to investigate the effect of using such an integrated system on thermal comfort and air quality improvement. Twenty subjects participated in a chamber test at 25 °C, 27 °C, and 29 °C, respectively, with operating DPV devices at three modes (no flow, pre-set flow, and user control flow). Votes on thermal comfort, thermal sensation, thermal acceptability, and perceived air quality were collected from the them. The results showed that overall thermal sensation votes with DPV running at the user control flow mode were close to neutral (0.1, 0.4, and 0.5, respectively, at 25 °C, 27 °C, and 29 °C). Thermal comfort and perceived air quality were improved at all three temperatures studied in the user control DPV flow mode, with 90% of occupants reporting that the thermal environments were acceptable. An integrated system of this type could raise the acceptable HVAC temperature setpoint to 29 °C, resulting in an average energy savings of 34% over the neutral condition at 25 °C. Hence, occupants are advised to use the DPV’s user-control mode. Lastly, it is concluded that the integrated system could greatly improve thermal comfort, perceived air quality, and save HVAC energy, despite some issues with dry eyes at 29 °C.

Suggested Citation

  • Bin Yang & Pengju Liu & Yihang Liu & Dacheng Jin & Faming Wang, 2022. "Assessment of Thermal Comfort and Air Quality of Room Conditions by Impinging Jet Ventilation Integrated with Ductless Personalized Ventilation," Sustainability, MDPI, vol. 14(19), pages 1-17, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12526-:d:931100
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/12526/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/19/12526/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    2. Bin Yang & Tze-Huan Lei & Pengfei Yang & Kaixuan Liu & Faming Wang, 2021. "On the Use of Wearable Face and Neck Cooling Fans to Improve Occupant Thermal Comfort in Warm Indoor Environments," Energies, MDPI, vol. 14(23), pages 1-15, December.
    3. Xu, Guangyue & Dong, Haoyun & Xu, Zhenci & Bhattarai, Nishan, 2022. "China can reach carbon neutrality before 2050 by improving economic development quality," Energy, Elsevier, vol. 243(C).
    4. Ferenc Szodrai & Ferenc Kalmár, 2019. "Simulation of Temperature Distribution on the Face Skin in Case of Advanced Personalized Ventilation System," Energies, MDPI, vol. 12(7), pages 1-11, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jing, Gang & Cai, Wenjian & Zhang, Xin & Cui, Can & Yin, Xiaohong & Xian, Huacai, 2019. "An energy-saving oriented air balancing strategy for multi-zone demand-controlled ventilation system," Energy, Elsevier, vol. 172(C), pages 1053-1065.
    2. Niamsuwan, Sathit & Kittisupakorn, Paisan & Suwatthikul, Ajaree, 2015. "Enhancement of energy efficiency in a paint curing oven via CFD approach: Case study in an air-conditioning plant," Applied Energy, Elsevier, vol. 156(C), pages 465-477.
    3. Svetlana Ratner & Yuri Chepurko & Larisa Drobyshecskaya & Anna Petrovskaya, 2018. "Management of Energy Enterprises: Energy-efficiency Approach in Solar Collectors Industry: The Case of Russia," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 237-243.
    4. Yang, Xiaohu & Yu, Jiabang & Guo, Zengxu & Jin, Liwen & He, Ya-Ling, 2019. "Role of porous metal foam on the heat transfer enhancement for a thermal energy storage tube," Applied Energy, Elsevier, vol. 239(C), pages 142-156.
    5. Wang, Wenqing & Kolditz, Olaf & Nagel, Thomas, 2017. "Parallel finite element modelling of multi-physical processes in thermochemical energy storage devices," Applied Energy, Elsevier, vol. 185(P2), pages 1954-1964.
    6. Shunbin Zhong & Huafu Shen & Ziheng Niu & Yang Yu & Lin Pan & Yaojun Fan & Atif Jahanger, 2022. "Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    7. Yang, Shiyu & Wan, Man Pun & Ng, Bing Feng & Dubey, Swapnil & Henze, Gregor P. & Chen, Wanyu & Baskaran, Krishnamoorthy, 2020. "Experimental study of model predictive control for an air-conditioning system with dedicated outdoor air system," Applied Energy, Elsevier, vol. 257(C).
    8. Chi Yong & Mu Tong & Zhongyi Yang & Jixian Zhou, 2023. "Conventional Natural Gas Project Investment and Decision Making under Multiple Uncertainties," Energies, MDPI, vol. 16(5), pages 1-30, February.
    9. Yuan, Zhipeng & Liu, Qi & Luo, Baojun & Li, Zhenming & Fu, Jianqin & Chen, Jingwei, 2018. "Thermodynamic analysis of different oil flooded compression enhanced vapor injection cycles," Energy, Elsevier, vol. 154(C), pages 553-560.
    10. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    11. Zu, Kan & Qin, Menghao & Cui, Shuqing, 2020. "Progress and potential of metal-organic frameworks (MOFs) as novel desiccants for built environment control: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    12. Cui, X. & Islam, M.R. & Mohan, B. & Chua, K.J., 2016. "Theoretical analysis of a liquid desiccant based indirect evaporative cooling system," Energy, Elsevier, vol. 95(C), pages 303-312.
    13. Yang, Zili & Zhang, Kaisheng & Hwang, Yunho & Lian, Zhiwei, 2016. "Performance investigation on the ultrasonic atomization liquid desiccant regeneration system," Applied Energy, Elsevier, vol. 171(C), pages 12-25.
    14. Xian, Yujiao & Hu, Zhihui & Wang, Ke, 2023. "The least-cost abatement measure of carbon emissions for China's glass manufacturing industry based on the marginal abatement costs," Energy, Elsevier, vol. 284(C).
    15. Wang, Kai & Peng, Jinqing & Li, Sihui & Li, Houpei & Zou, Bin & Ma, Tao & Ji, Jie, 2024. "Compressor speed control for optimizing energy matching of PV-driven AC systems during the cooling season," Energy, Elsevier, vol. 298(C).
    16. Zhou, Yuren & Lork, Clement & Li, Wen-Tai & Yuen, Chau & Keow, Yeong Ming, 2019. "Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    17. Yuan, Jun & Nian, Victor & Su, Bin & Meng, Qun, 2017. "A simultaneous calibration and parameter ranking method for building energy models," Applied Energy, Elsevier, vol. 206(C), pages 657-666.
    18. Ryu, Jun & Bahadur, Jitendra & Hayase, Shuzi & Jeong, Sang Mun & Kang, Dong-Won, 2023. "Efficient and stable energy conversion using 2D/3D mixed Sn-perovskite photovoltaics with antisolvent engineering," Energy, Elsevier, vol. 278(PB).
    19. Xiaoxue Liu & Fuzhen Cao & Shuangshuang Fan, 2022. "Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods," IJERPH, MDPI, vol. 19(18), pages 1-27, September.
    20. Zhao, Rui & Zhou, Xiao & Han, Jiaojie & Liu, Chengliang, 2016. "For the sustainable performance of the carbon reduction labeling policies under an evolutionary game simulation," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 262-274.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12526-:d:931100. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.