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DC Field | Value | Language |
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dc.contributor.author | Shazmin Aniza, Abdul Shukor | - |
dc.contributor.author | Karl Kohlhof | - |
dc.contributor.author | Zul Azhar, Zahid Jamal | - |
dc.date.accessioned | 2009-08-11T00:49:54Z | - |
dc.date.available | 2009-08-11T00:49:54Z | - |
dc.date.issued | 2007-05 | - |
dc.identifier.citation | p.670-675 | en_US |
dc.identifier.isbn | 978-0-88986-663-8 | - |
dc.identifier.uri | http://www.actapress.com/Content_of_Proceeding.aspx?proceedingID=440#pages | - |
dc.description | Link to publisher's homepage at http://www.iasted.org/ | en_US |
dc.description.abstract | This paper concentrates on the modelling development for a PMV-based thermal comfort system. Operators can define their own expression towards the surroundings by inserting the respective value of PMV and the system will generate the compressor and fan of the air conditioning system to create a thermally comfortable environment. This algorithm has already defined its respective values of air temperature and air velocity for different values of relative humidity and PMV. Apart from that, it also has been completed with duty cycle so that the air conditioning system will works smartly with lower cost and energy consumed. | en_US |
dc.language.iso | en | en_US |
dc.publisher | International Association of Science and Technology for Development (IASTED)/ACTA Press | en_US |
dc.relation.ispartofseries | Proceedings of the IASTED International Conference on Modelling and Simulation 2007 | en_US |
dc.subject | Climatic modelling | en_US |
dc.subject | Predicted Mean Vote (PMV | en_US |
dc.subject | Thermal comfort | en_US |
dc.subject | Air conditioning | en_US |
dc.subject | Heating | en_US |
dc.subject | Thermal comfort system | en_US |
dc.title | Development of a PMV-based thermal comfort modelling | en_US |
dc.type | Article | en_US |
Appears in Collections: | School of Mechatronic Engineering (Articles) Zul Azhar Zahid Jamal, Dato' Prof. Dr. Shazmin Aniza Abdul Shukor, Assoc. Prof. Dr. |
Files in This Item:
File | Description | Size | Format | |
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Abstract.pdf | 7.04 kB | Adobe PDF | View/Open |
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