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Development of a mobile application for building energy prediction using performance prediction model
- Development of a mobile application for building energy prediction using performance prediction model
- Kim, Yu-Ri; Kang, Hae Jin
- Multidisciplinary Digital Publishing Institute
| Title |
Development of a mobile application for building energy prediction using performance prediction model
Similar Titles
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| Material Type | Article |
| Author(English) |
Kim, Yu-Ri; Kang, Hae Jin |
| Publisher |
Basel, Switzerland : Multidisciplinary Digital Publishing Institute |
| Date | 2016-03 |
| Journal Title; Vol./Issue | Energies:vol. 9(no. 3) |
| Pages | 16 |
| Subject Country | South Korea(Asia and Pacific) |
| Language | English |
| File Type | Link |
| Subject | Industry and Technology < Energy |
| Holding | MDPI |
| License |  |
Abstract
Recently, the Korean government has enforced disclosure of building energy performance, so that such information can help owners and prospective buyers to make suitable investment plans. Such a building energy performance policy of the government makes it mandatory for the building owners to obtain engineering audits and thereby evaluate the energy performance levels of their buildings. However, to calculate energy performance levels (i.e., asset rating methodology), a qualified expert needs to have access to at least the full project documentation and/or conduct an on-site inspection of the buildings. Energy performance certification costs a lot of time and money. Moreover, the database of certified buildings is still actually quite small. A need, therefore, is increasing for a simplified and user-friendly energy performance prediction tool for non-specialists. Also, a database which allows building owners and users to compare best practices is required. (The rest omitted)
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