ANALYZING AND EVALUATING A PMV-BASED THERMAL COMFORT MODEL IN CONTROLLING AIR CONDITIONING SYSTEM
DOI:
https://doi.org/10.11113/jt.v77.6801Keywords:
Thermal comfort, Predicted Mean Vote (PMV), air conditioning systemAbstract
The usage of air conditioning system to create a thermally comfortable environment in tropical countries is often a must, not necessarily luxurious any longer. However, the extreme usage of the system will lead towards higher consumption of energy and higher cost. A promising energy efficient model developed based on the Predictive Mean Vote (PMV) is analyzed and evaluated here to distinguish its workability. This model only requires the user to enter their respective PMV value (from -1 to +1) and the respective parameters will be inserted into the air conditioning system, which is based on the standard thermal comfort ISO 7730. Analyses and evaluations were done based on the measurements from human subjects and their feelings towards the surroundings were recorded to see the performance of the model. From here, more than 91% of the subjects agree with the parameters used in defining their thermal comfort. This proves the workability of the model towards controlling the air conditioning system in creating a thermal comfort ambience at lower energy consumption, and further simulative investigations are appreciated before implementation.
References
International Standard Oganization. 1994. ISO 7730: Moderate Thermal Environments – Determination of the PMV and PPD Indices And Specification Of The Conditions For Thermal Comfort.
Kreider, J. F., P. S. Curtiss and A. Rabl. 2002. Heating and cooling of Buildings: Design for Efficiency. 2nd Ed. New York: Mc-Graw Hill.
Leon, I., K. Kohlhof, O. Gerhards, and O. Martinez. 2002. Microsystem For Smart Control Of Thermal Comfort. VIII IBERCHIP Workshop. Guadalajara, Mexico.
Shukor, S. A. A., K. Kohlhof, K., and Z.A.Z. Jamal. 2007. Development of a PMV-based Thermal Comfort Modelling. The 18th IASTED International Conference on Modelling and Simulation. Montreal, Canada. 30 May - 1 June 2007. 670-675.
Omori, T., S. Tanabe, and T. Akimoto. 2007. Evaluation Of Thermal Comfort And Energy Consumption In A Room With Different Heating Systems. 6th International Conference in Indoor Air Quality, Ventilation and Energy Conservation in Buildings (IAQVEC) 2007.
Omori, T. and S. Tanabe. 2007. Coupled Simulation Of Convection-Radiation-Thermoregulation For Predicting Human Thermal Sensation. 10th International Conference on Air Distribution in Rooms 2007.
Zhang, Y., G. Zhou, K. Lin, Q. Zhang and H. Di. 2007. Application Of Latent Heat Thermal Energy Storage In Buildings: State-Of-The-Art And Outlook. Building and Environment. 42(6): 2197-2209.
Wong, N. H. and S. S. Khoo. 2003. Thermal Comfort In Classrooms In The Tropics. Energy and Buildings. 35: 337-351
Kwong, Q. J., Nor Mariah Adam, B. B. Sahari. 2014. Thermal Comfort Assessment And Potential For Energy Efficiency Enhancement In Modern Tropical Building: A Review. Energy and Buildings. 68: 547-557.
Katsuno, J., H. B. Rijal and S. Kikuchi. 2012. Investigation Of The Comfort Temperature And Adaptive Model In Japanese Houses In Summer. 7th Windsor Conference: The Changing Context Of Comfort In An Unpredictable World. Cumberland Lodge, Windsor, UK. 12-15 April 2012.
Dear, R., J. Kim, C. Candido and M. Deuble. 2014. Summertime Thermal Comfort in Australian School Classrooms. 8th Windsor Conference: Counting The Cost Of Comfort In A Changing World. Cumberland Lodge, Windsor, UK. 10-13 April 2014.
Indraganti, M., R. Ooka, H.B. Rijal and G.S. Brager. Adaptive Model Of Thermal Comfort For Offices In Hot And Humid Climates Of India. Building and Environment. 74: 39-53.
Rijal, H. B., M. A. Humphreys and J. F. Nicol. 2014. Development Of The Adaptive Model For Thermal Comfort In Japanese Houses. 8th Windsor Conference: Counting the Cost of Comfort In A Changing World. Cumberland Lodge, Windsor, UK. 10-13 April 2014.
Fanger, P.O. 1972. Thermal Comfort. New York: McGraw-Hill.
Innova AirTech Instruments. 2002. Thermal Comfort. Ballerup: Innova AirTech Instrument.
ASHRAE Standard 55. 1992. Thermal Environmental Conditions For Human Occupancy.
Abdul Shukor, S.A. 2004. Smart Thermal Chmfort System: The Fundamental Control Algorithm. MEng thesis, Kolej Universiti Teknologi Tun Husein Onn. (unpublished).
Paulev, P. and G. Zubieta-Calleja. 2004. New Human Physiology. http://www.zuniv.net/physiology/book/index.htm [Accessed on 7 September 2015].
Malaysian Meteorological Department. 2010. Climate Information for Chuping Meteorological Station. http://www.met.gov.my/images/pdf/MetadataAgromet/MainStation /smchuping_en.pdf [Accessed on 19 May 2015].
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.