| URN | etd-0719122-150927 | Statistics | This thesis had been viewed 64 times. Download 1 times. |
| Author | Jun-Jie Chen | ||
| Author's Email Address | chenpek6@gmail.com | ||
| Department | Institute Of Mechanical Engineering | ||
| Year | 2021 | Semester | 2 |
| Degree | Master | Type of Document | Master's Thesis |
| Language | zh-TW.Big5 Chinese | Page Count | 62 |
| Title | Air conditioning system power consumption modeling analysis of an exhibition hall | ||
| Keyword | |||
| Abstract | The largest energy consumption of large buildings is the energy consumption of air conditioning system, which will inevitably be discussed when reviewing energy performance. Especially in large exhibition halls, there are many factors of energy consumption to air conditioners. How to establish an energy baseline of air conditioner is worth discussing. This thesis takes a large exhibition hall in northern Taiwan as an example, discusses and analyzes its air-conditioning power consumption and establishes its energy baseline. Considering the factors such as ambient temperature, relative humidity and number of visitors, it tries to establish the energy consumption model by linear regression method and artificial neural network method respectively based on the data, which collected in past two years for modeling analysis and comparison. After correcting the model, it is concluded that the accuracy range of both can be within 75%. |
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| Files | indicate access worldwide | ||
| Date of Defense | 2022-07-07 | Date of Submission | 2022-07-19 |