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Building Simulation

, Volume 12, Issue 5, pp 905–919 | Cite as

Performance analysis of a ductless personalized ventilation combined with radiant floor cooling system and displacement ventilation

  • Jiying LiuEmail author
  • Daniel Alejandro Dalgo
  • Shengwei Zhu
  • Hui Li
  • Linhua Zhang
  • Jelena Srebric
Research Article Indoor/Outdoor Airflow and Air Quality
  • 65 Downloads

Abstract

This study conducted the numerical simulation to evaluate the performance of a ductless personalized ventilation (DPV) combined with radiant floor cooling system (RFCS) and displacement ventilation (DV) system. In the non-DPV cases, DV supplies air at temperature of 16 °C and 20 °C, respectively with a flow rate of 2.4 ACH. In the cases with DPV, DPV supplies personalized air, which is drawn at the height of 0.1 m or 0.2 m above the floor, to the face of a seated occupant at flow rates of 3 L/s, 5 L/s and 7 L/s, respectively. The horizontal distance of 0.3 m is designed between DPV air supply opening and occupant face at the height of 1.2m. For all the cases, the floor cooling temperature is set to 20 °C. The vertical air temperature difference at 1.1 m and 0.1 m (ΔT1.1−0.1), the contaminant removal effectiveness (ε) and the draft rate at the occupant face (DRface) are mainly used as evaluation indices to quantify the ventilation effectiveness and thermal comfort effect. According to the results, DPV remarkably decreases ΔT1.1−0.1 with a maximum reduction of 1.79 °C compared to non-DPV case. DPV significantly influences the temperature adjacent to the face at the breathing zone, with a maximum reduction of 4.44 °C from non-DPV case to DPV case. DPV cases also effectively improve ε at breathing region compared to the non-DPV case. The DRface ranges from 9.01% to 21.33% when different flow rates of DPV are used. In summary, the case using DPV flow rate of 5 L/s and at intake height of 0.1 m presented relatively better ventilation effectiveness and thermal comfort environment around the occupant.

Keywords

computational fluid dynamics (CFD) ductless personalized ventilation (DPV) displacement ventilation (DV) radiant floor cooling system (RFCS) 

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Notes

Acknowledgements

This study is sponsored by the National Natural Science Foundation of China (No. 51608310, No. 51806126), and the Innovation Team of the Co-Innovation Center for Green Building of Shandong Province in Shandong Jianzhu University. This study is also supported by the project “Robotic Personal Conditioning Device” sponsored by DOE ARPA-E (DE-AR0000530).

References

  1. Ahmed AQ, Gao S, Kareem AK (2017). Energy saving and indoor thermal comfort evaluation using a novel local exhaust ventilation system for office rooms. Applied Thermal Engineering, 110: 821–834.CrossRefGoogle Scholar
  2. Al Assaad D, Ghali K, Ghaddar N, Habchi C (2017). Mixing ventilation coupled with personalized sinusoidal ventilation: Optimal frequency and flow rate for acceptable air quality. Energy and Buildings, 154: 569–580.CrossRefGoogle Scholar
  3. Al Assaad D, Habchi C, Ghali K, Ghaddar N (2018a). Effectiveness of intermittent personalized ventilation in protecting occupant from indoor particles. Building and Environment, 128: 22–32.CrossRefGoogle Scholar
  4. Al Assaad D, Habchi C, Ghali K, Ghaddar N (2018b). Simplified model for thermal comfort, IAQ and energy savings in rooms conditioned by displacement ventilation aided with transient personalized ventilation. Energy Conversion and Management, 162: 203–217.CrossRefGoogle Scholar
  5. Alain M, Kamel G, Nesreen G (2012). A simplified combined displacement and personalized ventilation model. HVAC&R Research, 18: 737–749.Google Scholar
  6. Alotaibi S, Chakroun W, Habchi C, Ghali K, Ghaddar N (2018). Effectiveness of contaminant confinement in office spaces equipped with ceiling personalized ventilation system. Building Simulation, 11: 773–786.CrossRefGoogle Scholar
  7. Alsaad H, Voelker C (2018). Performance assessment of a ductless personalized ventilation system using a validated CFD model. Journal of Building Performance Simulation, 11: 689–704.CrossRefGoogle Scholar
  8. ANSYS (2014). ANSYS FLUENT Theory Guide, Release 16.1. Canonsburg, PA, USA: ANSYS Inc.Google Scholar
  9. ASHRAE (2004). ASHRAE Standard 55. Thermal Environmental Conditions for Human Occupancy, Atlanta, GA, USA: American Society of Heating Air-Conditioning and Refrigeration Engineers.Google Scholar
  10. ASHRAE (2009). ASHRAE Handbook—Fundamentals. Atlanta, GA, USA: American Society of Heating Air-Conditioning and Refrigeration Engineers.Google Scholar
  11. Bolashikov ZD, Nikolaev L, Melikov AK, Kaczmarczyk J, Fanger PO (2003). Personalized ventilation: Air terminal devices with high efficiency. In: Proceedings of the 7th Healthy Buildings, Singapore.Google Scholar
  12. Cao S-J, Deng H-Y (2019). Investigation of temperature regulation effects on indoor thermal comfort, air quality, and energy savings toward green residential buildings. Science and Technology for the Built Environment, 25: 309–321.CrossRefGoogle Scholar
  13. Causone F, Baldin F, Olesen BW, Corgnati SP (2010). Floor heating and cooling combined with displacement ventilation: Possibilities and limitations. Energy and Buildings, 42: 2338–2352.CrossRefGoogle Scholar
  14. Cermak R, Melikov AK, Forejt L, Kovar O (2006). Performance of personalized ventilation in conjunction with mixing and displacement ventilation. HVAC&R Research, 12: 295–311.CrossRefGoogle Scholar
  15. Cermak R, Melikov AK (2007). Protection of occupants from exhaled infectious agents and floor material emissions in rooms with personalized and underfloor ventilation. HVAC&R Research, 13: 23–38.CrossRefGoogle Scholar
  16. Cheong DKW, Huang S (2013). Performance evaluation of personalized ventilation system with two types of air terminal devices coupled with displacement ventilation in a mock-up office. HVAC&R Research, 19: 974–985.CrossRefGoogle Scholar
  17. Chui EH, Raithby GD (1993). Computation of radiant heat transfer on a nonorthogonal mesh using the finite-volume method. Numerical Heat Transfer, Part B: Fundamentals, 23: 269–288.CrossRefGoogle Scholar
  18. Dalewski M, Melikov AK, Vesely M (2014). Performance of ductless personalized ventilation in conjunction with displacement ventilation: Physical environment and human response. Building and Environment, 81: 354–364.CrossRefGoogle Scholar
  19. Du J, Chan M, Pan D, Deng S (2017). A numerical study on the effects of design/operating parameters of the radiant panel in a radiation-based task air conditioning system on indoor thermal comfort and energy saving for a sleeping environment. Energy and Buildings, 151: 250–262.CrossRefGoogle Scholar
  20. EN ISO 7730 (2005). Ergonomics of the thermal environment—Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria. Geneva, Switzerland.Google Scholar
  21. Gao N, Niu J (2004). CFD study on micro-environment around human body and personalized ventilation. Building and Environment, 39: 795–805.CrossRefGoogle Scholar
  22. Halvoňová B, Melikov AK (2010a). Performance of “ductless” personalized ventilation in conjunction with displacement ventilation: Impact of disturbances due to walking person(s). Building and Environment, 45: 427–436.CrossRefGoogle Scholar
  23. Halvoňová B, Melikov AK (2010b). Performance of “ductless” personalized ventilation in conjunction with displacement ventilation: Impact of intake height. Building and Environment, 45: 996–1005.CrossRefGoogle Scholar
  24. Halvonová B, Melikov AK (2010c). Performance of ductless personalized ventilation in conjunction with displacement ventilation: impact of workstations layout and partitions. HVAC&R Research, 16: 75–94.CrossRefGoogle Scholar
  25. Heidarinejad M, Dalgo DA, Mattise NW, Srebric J (2018). Personalized cooling as an energy efficiency technology for city energy footprint reduction. Journal of Cleaner Production, 171: 491–505.CrossRefGoogle Scholar
  26. Kong M, Zhang J, Wang J (2015). Air and air contaminant flows in office cubicles with and without personal ventilation: A CFD modeling and simulation study. Building Simulation, 8: 381–392.CrossRefGoogle Scholar
  27. Kong X, Deng Y, Li L, Gong W, Cao S (2017). Experimental and numerical study on the thermal performance of ground source heat pump with a set of designed buried pipes. Applied Thermal Engineering, 114: 110–117.CrossRefGoogle Scholar
  28. Krajčík M, Tomasi R, Simone A, Olesen BW (2013). Experimental study including subjective evaluations of mixing and displacement ventilation combined with radiant floor heating/cooling system. HVAC&R Research, 19: 1063–1072.CrossRefGoogle Scholar
  29. Krajčík M, Tomasi R, Simone A, Olesen BW (2016). Thermal comfort and ventilation effectiveness in an office room with radiant floor cooling and displacement ventilation. Science and Technology for the Built Environment, 22: 317–327.CrossRefGoogle Scholar
  30. Li R, Sekhar SC, Melikov AK (2011). Thermal comfort and indoor air quality in rooms with integrated personalized ventilation and under-floor air distribution systems. HVAC&R Research, 17: 829–846.Google Scholar
  31. Liu J, Xie X, Qin F, Song S, Lv D (2016). A case study of ground source direct cooling system integrated with water storage tank system. Building Simulation, 9: 659–668.CrossRefGoogle Scholar
  32. Makhoul A, Ghali K, Ghaddar N (2012). The energy saving potential and the associated thermal comfort of displacement ventilation systems assisted by personalised ventilation. Indoor and Built Environment, 22: 508–519.CrossRefGoogle Scholar
  33. Makhoul A, Ghali K, Ghaddar N (2013). Thermal comfort and energy performance of a low-mixing ceiling-mounted personalized ventilator system. Building and Environment, 60: 126–136.CrossRefGoogle Scholar
  34. Mao N, Pan D, Li Z, Xu Y, Song M, Deng S (2017). A numerical study on influences of building envelope heat gain on operating performances of a bed-based task/ambient air conditioning (TAC) system in energy saving and thermal comfort. Applied Energy, 192: 213–221.CrossRefGoogle Scholar
  35. Melikov AK, Cermak R, Majer M (2002). Personalized ventilation: evaluation of different air terminal devices. Energy and Buildings, 34: 829–836.CrossRefGoogle Scholar
  36. Melikov AK (2004). Personalized ventilation. Indoor Air, 14: 157–167.CrossRefGoogle Scholar
  37. Melikov A, Ivanova T, Stefanova G (2012a). Seat headrest-incorporated personalized ventilation: Thermal comfort and inhaled air quality. Building and Environment, 47: 100–108.CrossRefGoogle Scholar
  38. Melikov AK, Skwarczynski MA, Kaczmarczyk J, Zabecky J (2012b). Use of personalized ventilation for improving health, comfort, and performance at high room temperature and humidity. Indoor Air, 23: 250–263.CrossRefGoogle Scholar
  39. Pérez-Lombard L, Ortiz J, Pout C (2008). A review on buildings energy consumption information. Energy and Buildings, 40: 394–398.CrossRefGoogle Scholar
  40. Rahmati B, Heidarian A, Jadidi AM (2018). Investigation in performance of a hybrid under-floor air distribution with improved desk displacement ventilation system in a small office. Applied Thermal Engineering, 138: 861–872.CrossRefGoogle Scholar
  41. Rhee K-N, Kim KW (2015). A 50 year review of basic and applied research in radiant heating and cooling systems for the built environment. Building and Environment, 91: 166–190.CrossRefGoogle Scholar
  42. Rhee K-N, Olesen BW, Kim KW (2017). Ten questions about radiant heating and cooling systems. Building and Environment, 112: 367–381.CrossRefGoogle Scholar
  43. Schiavon S, Melikov AK, Sekhar C (2010). Energy analysis of the personalized ventilation system in hot and humid climates. Energy and Buildings, 42: 699–707.CrossRefGoogle Scholar
  44. Sekhar C, Zheng L (2018). Study of an integrated personalized ventilation and local fan-induced active chilled beam air conditioning system in hot and humid climate. Building Simulation, 11: 787–801.CrossRefGoogle Scholar
  45. Shahzad S, Calautit JK, Calautit K, Hughes B, Aquino AI (2018). Advanced Personal Comfort System (APCS) for the workplace: A review and case study. Energy and Buildings, 173: 689–709.CrossRefGoogle Scholar
  46. Shao X, Li X, Ma X, Liang C (2017). Multi-mode ventilation: An efficient ventilation strategy for changeable scenarios and energy saving. Building and Environment, 115: 332–344.CrossRefGoogle Scholar
  47. Shen C, Gao N, Wang T (2013). CFD study on the transmission of indoor pollutants under personalized ventilation. Building and Environment, 63: 69–78.CrossRefGoogle Scholar
  48. Shih T-H, Liou WW, Shabbir A, Yang Z, Zhu J (1995). A new k-ε eddy viscosity model for high reynolds number turbulent flows. Computers & Fluids, 24: 227–238.CrossRefzbMATHGoogle Scholar
  49. Sideroff CN, Dang TQ (2008). Verification and validation of CFD for the personal micro-environment. ASHRAE Transactions, 114(2): 45–56.Google Scholar
  50. Veselý M, Zeiler W (2014). Personalized conditioning and its impact on thermal comfort and energy performance—A review. Renewable and Sustainable Energy Reviews, 34: 401–408.CrossRefGoogle Scholar
  51. Yang J, Sekhar C, Cheong D, Raphael B (2014). Performance evaluation of an integrated Personalized Ventilation-Personalized Exhaust system in conjunction with two background ventilation systems. Building and Environment, 78: 103–110.CrossRefGoogle Scholar
  52. Zhou Y, Deng Y, Wu P, Cao S-J (2017). The effects of ventilation and floor heating systems on the dispersion and deposition of fine particles in an enclosed environment. Building and Environment, 125: 192–205.CrossRefGoogle Scholar
  53. Zhu S, Dalgo D, Srebric J, Kato S (2017). Cooling efficiency of a spot-type personalized air-conditioner. Building and Environment, 121: 35–48.CrossRefGoogle Scholar

Copyright information

© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Jiying Liu
    • 1
    • 2
    Email author
  • Daniel Alejandro Dalgo
    • 2
  • Shengwei Zhu
    • 1
  • Hui Li
    • 3
  • Linhua Zhang
    • 3
  • Jelena Srebric
    • 2
  1. 1.School of Thermal EngineeringShandong Jianzhu UniversityJinanChina
  2. 2.Department of Mechanical EngineeringUniversity of MarylandCollege ParkUSA
  3. 3.Key Laboratory of Renewable Energy Utilization Technologies for Buildings, Ministry of EducationShandong Jianzhu UniversityJinanChina

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