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Development of a mobile application for building energy prediction using performance prediction model

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  • Development of a mobile application for building energy prediction using performance prediction model
  • Kim, Yu-Ri; Kang, Hae Jin
  • Multidisciplinary Digital Publishing Institute


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Title Development of a mobile application for building energy prediction using performance prediction model
Similar Titles
Material Type Articles
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

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)