|
Factors affecting electricity consumption of hotel buildings in Thailand |
|---|---|
| รหัสดีโอไอ | |
| Creator | Siriluk Chiarakorn |
| Title | Factors affecting electricity consumption of hotel buildings in Thailand |
| Contributor | Suwajee Tangon, Jaruwan Chontanawat |
| Publisher | Asia-Pacific Journal of Science and Technology |
| Publication Year | 2561 |
| Journal Title | Asia-Pacific Journal of Science and Technology |
| Journal Vol. | 23 |
| Journal No. | 1 |
| Page no. | 1-11 |
| Keyword | Electricity Consumption Intensity, Factors, Hotel Buildings, Thailand |
| URL Website | https://www.tci-thaijo.org/index.php/APST/index |
| Website title | https://tci-thaijo.org/index.php/APST/article/view/112302 |
| ISSN | 2539-6293 |
| Abstract | This paper presents a study on energy performance of Thailand's hotel buildings. Energy consumption data, hotel characteristics and operational data were collected from 63 hotels through a technical survey. The annual Electricity Consumption Intensities (ECI) of the sampled hotels were then calculated and the parameters affecting electricity consumption of the hotels were analyzed using Pearson correlation. Results indicated that most of the sampled hotels in Thailand consumed electricity, liquefied petroleum gas (LPG) and diesel fuel. Electricity was the primary energy source, accounting for 69% to 94% of the consumption in various hotels. Electricity was mainly used in air conditioning (57%), followed by lighting (18%), escalators (9%), water heating (8%), and fans and pumps (8%). The average annual ECIs of hotel buildings in Thailand were 321.84 kWh/m2, 35,210.40 kWh/guest room and 2,292.36 kWh/room night. Pearson correlations showed that worker density had a positive correlation with the monthly ECI in kWh/m2 with a 99% confidence level, whereas Occupancy Rates (OR) had a negative correlation with the monthly ECI in kWh/room night at a 95% confidence level. A predictive model was determined based on a stepwise linear regression. It indicated that the optimization of some hotel operational factors, such as the number of room nights, number of workers, worker density and OR could lead to significant decreases in electricity consumption in Thai hotel buildings. |
