Prediction for Overheating Risk Based on Deep Learning in a Zero Energy Building
| Autor: | Yue Yuan, Jisoo Shim, Joowook Kim, Seungkeon Lee, Doosam Song |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Insolation
Meteorology field measurement 020209 energy Geography Planning and Development TJ807-830 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law TD194-195 01 natural sciences Renewable energy sources long short-term memory neural network (LSTM) 0202 electrical engineering electronic engineering information engineering GE1-350 overheating Overheating (electricity) 0105 earth and related environmental sciences Zero-energy building Environmental effects of industries and plants Renewable Energy Sustainability and the Environment business.industry zero energy building Thermal comfort Building energy prediction model Environmental sciences Air conditioning Environmental science Passive house Occupancy rate business |
| Zdroj: | Sustainability, Vol 12, Iss 8974, p 8974 (2020) Sustainability Volume 12 Issue 21 |
| ISSN: | 2071-1050 |
| Popis: | The Passive House standard has become the standard for many countries in the construction of the Zero Energy Building (ZEB). Korea also adopted the standard and has achieved great success in building energy savings. However, some issues remain with ZEBs in Korea. Among them, this study aims to discuss overheating issues. Field measurements were carried out to analyze the overheating risk for a library built as a ZEB. A data-driven overheating risk prediction model was developed to analyze the overheating risk, requiring only a small amount of data and extending the analysis throughout the year. The main factors causing overheating during both the cooling season and the intermediate seasons are also analyzed in detail. The overheating frequency exceeded 60% of days in July and August, the midsummer season in Korea. Overheating also occurred during the intermediate seasons when air conditioners were off, such as in May and October in Korea. Overheating during the cooling season was caused mainly by unexpected increases in occupancy rate, while overheating in the mid-term was mainly due to an increase in solar irradiation. This is because domestic ZEB standards define the reinforcement of insulation and airtight performance, but there are no standards for solar insolation through windows or for internal heat generation. The results of this study suggest that a fixed performance standard for ZEBs that does not reflect the climate or cultural characteristics of the region in which a ZEB is built may not result in energy savings at the operational stage and may not guarantee the thermal comfort of occupants. |
| Databáze: | OpenAIRE |
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