Automating of air-conditioning mechanical ventilation (ACMV) operation using artificial intelligence
In facilities management, energy consumption resulting from the use of Air-Conditioning Mechanical Ventilation (ACMV) Systems represents the highest cost in a building’s lifecycle. A portion of this cost can be attributed to the mismatch of ACMV system output settings to the room’s occupancy level a...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/78431 |
| _version_ | 1826120841887219712 |
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| author | Muhammad Ilyasa' Idris |
| author2 | Li King Ho Holden |
| author_facet | Li King Ho Holden Muhammad Ilyasa' Idris |
| author_sort | Muhammad Ilyasa' Idris |
| collection | NTU |
| description | In facilities management, energy consumption resulting from the use of Air-Conditioning Mechanical Ventilation (ACMV) Systems represents the highest cost in a building’s lifecycle. A portion of this cost can be attributed to the mismatch of ACMV system output settings to the room’s occupancy level as well as ‘characteristic behaviour’. The main goal of this project is to examine how an occupant interacts and behaves in a typical room and evaluating if such behaviour can be modelled and predicted. Data collected by sensors deployed in the room will be processed using analytic methods of Machine Learning (ML) to produce models that can forecast the temperature and humidity levels preferred by the occupant. |
| first_indexed | 2024-10-01T05:23:04Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/78431 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:23:04Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/784312023-03-04T18:28:42Z Automating of air-conditioning mechanical ventilation (ACMV) operation using artificial intelligence Muhammad Ilyasa' Idris Li King Ho Holden School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering In facilities management, energy consumption resulting from the use of Air-Conditioning Mechanical Ventilation (ACMV) Systems represents the highest cost in a building’s lifecycle. A portion of this cost can be attributed to the mismatch of ACMV system output settings to the room’s occupancy level as well as ‘characteristic behaviour’. The main goal of this project is to examine how an occupant interacts and behaves in a typical room and evaluating if such behaviour can be modelled and predicted. Data collected by sensors deployed in the room will be processed using analytic methods of Machine Learning (ML) to produce models that can forecast the temperature and humidity levels preferred by the occupant. Bachelor of Engineering (Mechanical Engineering) 2019-06-20T02:36:28Z 2019-06-20T02:36:28Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78431 en Nanyang Technological University 57 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Mechanical engineering Muhammad Ilyasa' Idris Automating of air-conditioning mechanical ventilation (ACMV) operation using artificial intelligence |
| title | Automating of air-conditioning mechanical ventilation (ACMV) operation using artificial intelligence |
| title_full | Automating of air-conditioning mechanical ventilation (ACMV) operation using artificial intelligence |
| title_fullStr | Automating of air-conditioning mechanical ventilation (ACMV) operation using artificial intelligence |
| title_full_unstemmed | Automating of air-conditioning mechanical ventilation (ACMV) operation using artificial intelligence |
| title_short | Automating of air-conditioning mechanical ventilation (ACMV) operation using artificial intelligence |
| title_sort | automating of air conditioning mechanical ventilation acmv operation using artificial intelligence |
| topic | DRNTU::Engineering::Mechanical engineering |
| url | http://hdl.handle.net/10356/78431 |
| work_keys_str_mv | AT muhammadilyasaidris automatingofairconditioningmechanicalventilationacmvoperationusingartificialintelligence |