HVAC visual analytics
Ensuring thermal comfort is an important problem in any buildings. The predicted mean vote (PMV) model was widely used in assessing the thermal comfort. The thermal comfort was predicted based on a group of people. This model uses human dependent variables and thermal environment variables. Furtherm...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2014
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| Online Access: | http://hdl.handle.net/10356/61478 |
| _version_ | 1811687454644633600 |
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| author | Chin, Hui Ting |
| author2 | Soh Yeng Chai |
| author_facet | Soh Yeng Chai Chin, Hui Ting |
| author_sort | Chin, Hui Ting |
| collection | NTU |
| description | Ensuring thermal comfort is an important problem in any buildings. The predicted mean vote (PMV) model was widely used in assessing the thermal comfort. The thermal comfort was predicted based on a group of people. This model uses human dependent variables and thermal environment variables. Furthermore, other models were looked into and the thermal comfort for other countries were also examined.
In this project, two models will be used to analyse thermal comfort, namely PMV model and PMVSET model. The PMVSET model was proposed for hot-humid climate environment. Data that were needed for this project was collected by the use of sensors. The numerical values for thermal comfort will be computed using MATLAB software. A comparison will be made based on these two models. |
| first_indexed | 2024-10-01T05:16:34Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/61478 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:16:34Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/614782023-07-07T16:42:39Z HVAC visual analytics Chin, Hui Ting Soh Yeng Chai School of Electrical and Electronic Engineering DRNTU::Engineering Ensuring thermal comfort is an important problem in any buildings. The predicted mean vote (PMV) model was widely used in assessing the thermal comfort. The thermal comfort was predicted based on a group of people. This model uses human dependent variables and thermal environment variables. Furthermore, other models were looked into and the thermal comfort for other countries were also examined. In this project, two models will be used to analyse thermal comfort, namely PMV model and PMVSET model. The PMVSET model was proposed for hot-humid climate environment. Data that were needed for this project was collected by the use of sensors. The numerical values for thermal comfort will be computed using MATLAB software. A comparison will be made based on these two models. Bachelor of Engineering 2014-06-10T08:12:48Z 2014-06-10T08:12:48Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/61478 en Nanyang Technological University 53 p. application/pdf |
| spellingShingle | DRNTU::Engineering Chin, Hui Ting HVAC visual analytics |
| title | HVAC visual analytics |
| title_full | HVAC visual analytics |
| title_fullStr | HVAC visual analytics |
| title_full_unstemmed | HVAC visual analytics |
| title_short | HVAC visual analytics |
| title_sort | hvac visual analytics |
| topic | DRNTU::Engineering |
| url | http://hdl.handle.net/10356/61478 |
| work_keys_str_mv | AT chinhuiting hvacvisualanalytics |