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Energies 2016, 9(3), 160; doi:10.3390/en9030160

Development of a Mobile Application for Building Energy Prediction Using Performance Prediction Model

1
Department of Architecture, Chung-Ang University, 84 Heuksoek-ro, Dongjak-gu, Seoul 06974, Korea
2
Sustainable Design Team, SAMOO Architects and Engineers, 295 Olympic-ro, Songpa-gu, Seoul 05510, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Enrico Sciubba
Received: 20 August 2015 / Revised: 17 February 2016 / Accepted: 26 February 2016 / Published: 4 March 2016
(This article belongs to the Special Issue Energy Conservation in Infrastructures)
View Full-Text   |   Download PDF [4155 KB, uploaded 4 March 2016]   |  

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. In this regard, the current study developed a simplified performance prediction model through experimental design, energy simulations and ANOVA (analysis of variance). Furthermore, using the new prediction model, a related mobile application was also developed. View Full-Text
Keywords: energy performance certification; prediction model; mobile application; energy simulation; analysis of variance (ANOVA) energy performance certification; prediction model; mobile application; energy simulation; analysis of variance (ANOVA)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Kim, Y.-R.; Kang, H.J. Development of a Mobile Application for Building Energy Prediction Using Performance Prediction Model. Energies 2016, 9, 160.

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