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Open AccessArticle

Energy Performance Assessment According to Data Acquisition Levels of Existing Buildings

Department of Architecture, Ajou University, Suwon 443-749, Korea
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Energies 2019, 12(6), 1149; https://doi.org/10.3390/en12061149
Received: 3 March 2019 / Revised: 18 March 2019 / Accepted: 20 March 2019 / Published: 25 March 2019
(This article belongs to the Special Issue Energy Efficiency in Plants and Buildings 2019)
Existing buildings are likely to consume more energy and emit more greenhouse gases than new buildings because of inevitable deteriorations in physical performance. Accordingly, retrofitting of existing buildings is considered essential to reduce energy consumption and greenhouse gas emissions from the building sector. However, assessing the energy performance of existing buildings accurately has limitations because building materials undergo physical deterioration and the actual operational conditions differ from as-built documentation. There is also a difference in the level of data acquisition required for building energy performance assessment depending on the conditions of the building. The aim of this paper is to present types of methods for energy performance assessment of existing buildings considering this data acquisition level. We analyzed various assessment methods, which were classified into three prototypes of methods according to the required level of data acquisition. Type 1 assessed the target building based on literature sources. Type 2 conducted on-site audit and assessed the target building based on additional collected data. Type 3 assessed the target building by further estimating the building properties through analysis of the measured energy data. The applicability of the proposed methods were demonstrated using case studies of three buildings located in Seoul, South Korea. View Full-Text
Keywords: building energy performance assessment; asset rating; existing building; data acquisition level building energy performance assessment; asset rating; existing building; data acquisition level
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MDPI and ACS Style

Cho, K.H.; Kim, S.S. Energy Performance Assessment According to Data Acquisition Levels of Existing Buildings. Energies 2019, 12, 1149. https://doi.org/10.3390/en12061149

AMA Style

Cho KH, Kim SS. Energy Performance Assessment According to Data Acquisition Levels of Existing Buildings. Energies. 2019; 12(6):1149. https://doi.org/10.3390/en12061149

Chicago/Turabian Style

Cho, Kyung H.; Kim, Sun S. 2019. "Energy Performance Assessment According to Data Acquisition Levels of Existing Buildings" Energies 12, no. 6: 1149. https://doi.org/10.3390/en12061149

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