Internet-of-Things (IoT) for Human Thermal Comfort: A Simulative Investigation

Ch’ng Shen Yi, S.A. Abdul Shukor, N.A. Rahim, K. Kohlhof, Z.A.Z. Jamal

Abstract


Human thermal comfort is very important especially in an indoor environment as it can influence human’s health and welfare. In tropical countries like Malaysia, air conditioning system has become a necessary tool in creating a thermally comfortable ambience in an indoor environment. However, the current control mechanism of the system would allow the user to set into maximum cooling – at minimum temperature with maximum fan speed – which not only consumes more energy, but is not creating a thermally comfortable environment as well, as extreme coolness could also bring negative effect towards the human. Therefore, it is essential to integrate human thermal comfort factor into air conditioning system control as well. This paper will highlight the possibility of integrating thermal comfort control into air conditioning system in creating a comfortable indoor environment. It adopts an enhanced version of Predictive Mean Vote (PMV) approach, specifically in creating thermal comfort ambience for a small sedentary work-based indoor space, in tropical countries. As the Internet-of-Things has become a trend in the smart home application, its element is also integrated here, where an Android-based application is developed and tested towards controlling a hardware simulative model which represents an air conditioning system based on the user-defined PMV value. It is shown that the application is able to control the fan speed and temperature through the LED brightness as demanded by the user. It is not only expected to work with a real air conditioning system in the future to create a thermally comfortable environment, but could also allow the system to be operated in energy and cost-efficient manner.

Keywords


Air Conditioning System Control; AndroidBased Application; Human Thermal Comfort; Internet-OfThings; Predictive Mean Vote (PMV);

Full Text:

PDF

References


International Standard Organization, “ISO 7730: Moderate Thermal Environments – Determination of the PMV and PPD Indices And Specification Of The Conditions For Thermal Comfort,” 1994.

M. Feldmeier, and J. A. Paradiso, “Personalized HVAC control system,” IEEE Internet of Things, 2010, pp. 1-8.

A. Rabbani, and S. Keshav, “The SPOT* Personal Themal Comfort System,” BuildSys@SenSys, 2016, pp. 75-84.

J. Serra, D. Pubill, A. Antonopoulos, and C. Verikoukis, “Smart HVAC control in IoT: Energy consumption minimization with user comfort constraints,” The Scientific World Journal, 2014.

M. Soliman, T. Abiodun, T. Hamouda, J. Zhao, and C. H. Lung, “Smart home: Integrating internet of things with web services and cloud computing,” in Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on, vol. 2, 2013, pp. 317-320.

R. Piyare, “Internet of things: Ubiquitous home control and monitoring system using android based smart phone,” International Journal of Internet of Things, 2(1), 2013, pp. 5-11.

S. A. A. Shukor, K. Kohlhof, and Z. A. Z. Jamal, “Development of a PMV-based Thermal Comfort Modelling,” in 18th IASTED International Conference on Modelling and Simulation, 2007, pp. 670- 675.

A. S. Ahmad, S. A. Shukor, K. Kohlhof, Z. A. Z. Jamal, and A. Mohamad, “Analyzing and evaluating a PMV-based thermal comfort model in controlling air conditioning system,” Jurnal Teknologi, 77:28, 2015, pp. 99-106.

P. O. Fanger, Thermal comfort. New York: McGrawHill, 1972.

ASHRAE Standard 55, Thermal Environmental Conditions For Human Occupancy, 1992.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

ISSN: 2180-1843

eISSN: 2289-8131