A simulation study on model predictive control for building automation
Air Conditioning and Mechanical Ventilation (ACMV) systems are found in almost all buildings and are responsible for a huge portion of the energy expenditure. The energy usage of ACMV systems are monitored inside the Building Management System (BMS). The conventional control system being used in the...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/142789 |
| _version_ | 1826119603818856448 |
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| author | Yeo, Wei Jie |
| author2 | Wan Man Pun |
| author_facet | Wan Man Pun Yeo, Wei Jie |
| author_sort | Yeo, Wei Jie |
| collection | NTU |
| description | Air Conditioning and Mechanical Ventilation (ACMV) systems are found in almost all buildings and are responsible for a huge portion of the energy expenditure. The energy usage of ACMV systems are monitored inside the Building Management System (BMS). The conventional control system being used in the current times include: PID controllers, On/Off controllers and If/Else controllers, the building model utilizing these controllers are referred to as the baseline model in this study. The focus of this study is on a different kind of control system called Model Predictive Control (MPC).
This study aims to investigate the benefits of using MPC compared to conventional controllers, particularly the PID controller, such benefits include not only energy savings but also increased thermal comfort. The simulation study will be done by using different software which includes: Sketchup, Openstudio, Energyplus, Matlab and BCVTB. A baseline model and MPC model will be created and simulated to generate a detailed report on the building performance. The comparison will be focused on the energy consumption and thermal comfort levels. |
| first_indexed | 2024-10-01T05:02:46Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/142789 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:02:46Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1427892023-03-04T18:16:09Z A simulation study on model predictive control for building automation Yeo, Wei Jie Wan Man Pun School of Mechanical and Aerospace Engineering MPWAN@ntu.edu.sg Engineering::Mechanical engineering Air Conditioning and Mechanical Ventilation (ACMV) systems are found in almost all buildings and are responsible for a huge portion of the energy expenditure. The energy usage of ACMV systems are monitored inside the Building Management System (BMS). The conventional control system being used in the current times include: PID controllers, On/Off controllers and If/Else controllers, the building model utilizing these controllers are referred to as the baseline model in this study. The focus of this study is on a different kind of control system called Model Predictive Control (MPC). This study aims to investigate the benefits of using MPC compared to conventional controllers, particularly the PID controller, such benefits include not only energy savings but also increased thermal comfort. The simulation study will be done by using different software which includes: Sketchup, Openstudio, Energyplus, Matlab and BCVTB. A baseline model and MPC model will be created and simulated to generate a detailed report on the building performance. The comparison will be focused on the energy consumption and thermal comfort levels. Bachelor of Engineering (Mechanical Engineering) 2020-06-30T08:07:27Z 2020-06-30T08:07:27Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/142789 en B331 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Mechanical engineering Yeo, Wei Jie A simulation study on model predictive control for building automation |
| title | A simulation study on model predictive control for building automation |
| title_full | A simulation study on model predictive control for building automation |
| title_fullStr | A simulation study on model predictive control for building automation |
| title_full_unstemmed | A simulation study on model predictive control for building automation |
| title_short | A simulation study on model predictive control for building automation |
| title_sort | simulation study on model predictive control for building automation |
| topic | Engineering::Mechanical engineering |
| url | https://hdl.handle.net/10356/142789 |
| work_keys_str_mv | AT yeoweijie asimulationstudyonmodelpredictivecontrolforbuildingautomation AT yeoweijie simulationstudyonmodelpredictivecontrolforbuildingautomation |