Browse > Article
http://dx.doi.org/10.5659/JAIK.2022.38.11.289

Limitations and Improvement of Energy Performance Index - Focusing on Comparison between ECO2 and EnergyPlus -  

Lee, Seung-Ju (Dept. of Architecture & Architectural Engineering, Seoul National University)
Yoo, Young-Seo (Dept. of Architecture & Architectural Engineering, Seoul National University)
Park, Chul-Hong (Dept. of Architecture & Architectural Engineering, Seoul National University)
Park, Cheol-Soo (Dept. of Architecture and Architectural Engineering.Institute of Engineering Research.Institute of Construction and Environmental Engineering, Seoul National University)
Publication Information
Journal of the Architectural Institute of Korea / v.38, no.11, 2022 , pp. 289-296 More about this Journal
Abstract
The issues and limitations of the current prescriptive domestic building energy code compliance, or EPI was addressed. In order to convert it into being performance-based, a global sensitivity analysis, Sobol was used. For this purpose, a medium office building developed by US DOE was selected. The Sobol sensitivity indices per design variables were substituted for weights (a) and (b) to calculate a new EPI. Based on the comparison between the new EPI, ECO2 calculation and EnergyPlus simulation results, it was found that the new EPI becomes more proportional to Energy Use Intensity (EUI) calculated from EnergyPlus (R2 = 89.3%).
Keywords
Energy Performance Index; Global Sensitivity Analysis; Polynomial Regression; Building Energy Assessment;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Kim, Y. J., & Park, C. S. (2008). Uncertainty analysis of ventilation strategies in residential apartment buildings. Journal of the Architectural Institute of Korea, Planning and Design section, 24(8), 311-320.
2 Korea Institute of Construction Technology. (2017). Construction report/Published data. Codil. Retrieved Oct 4, 2022 from https://scienceon.kisti.re.kr/srch/selectPORSrchReport.do?cn=TRKO201700004332
3 Ostertagova, E. (2012). Modelling using polynomial regression. Procedia Engineering, 48, 500-506.   DOI
4 Park, C. S. (2006). Normative assessment of technical building performance. Journal of Architecture Institute (Planning), 22(11), 337-344.
5 Saltelli, A., Ratto, M., Tarantola, S., & Campolongo, F. (2006). Sensitivity analysis practices: Strategies for model-based inference. Reliability Engineering & System Safety, 91(10-11), 1109-1125.   DOI
6 Saltelli, A., Tarantola, S., Campolongo, F., & Ratto, M. (2004). Sensitivity analysis in practice: a guide to assessing scientific models. Chichester, England.
7 Tian, W. (2013). A review of sensitivity analysis methods in building energy analysis. Renewable and Sustainable Energy Reviews, 20, 411-419.   DOI
8 Yoo, Y. S., Yi, D. H., Kim, S. S., & Park, C. S. (2020). Rational building energy assessment using global sensitivity analysis. Journal of the Architectural Institute of Korea Structure & Construction, 36(5), 177-185.
9 Amiri, A., Ottelin, J., & Sorvari, J. (2019). Are LEED-certified buildings energy-efficient in practice?. Sustainability, 11(6), 1672.   DOI
10 Bloem, H. (2013). Evaluating and modelling nearly-zero energy buildings; are we ready for 2018, IBPSA World conference 2013 (discussion in a keynote speech)
11 Kim, Y. A., Jang, H. I., Park, C. Y., Jang, D. H., & Lee, K. H. (2016). Comparison of cooling and heating load analysis characteristics of the energy performance assessment tools for green remodeling. Journal of Korean Institute of Architectural Sustainable Environment and Building System, 10(6), 449-455.
12 Hopfe, C. J. (2009). Uncertainty and Sensitivity Analysis in Building Performance Simulation for Decision Support and Design Optimization. Ph.D. Dissertation, Eindhoven University of Technology.
13 Malkawi, A., & Augenbroe, G. (2004). Advanced Building Simulation. 1st ed., Routledge, 5.
14 Jo, J. (2017). A study on evaluation criteria and evaluation tool for Energy Performance of internal and external building. Special projectII-Zero Energy Building Policies and Trends of Internal and External Building, SSangyong, 74, 16-23.
15 KEA. (2016). Building Energy Efficiency Certification, Korea Energy Agency.
16 KEA. (n.d) Building energy code compliance, Korea Energy Agency, Retrieved July 18, 2022 from https://dco.energy.or.kr/renew_eng/energy/buildings/worksheet.aspx
17 Kim, S. H., Kwak, Y. H., & Kim, C. S. (2018). The analysis on energy performance of collective housing using ECO2 and DesignBuilder softwares. Korea Inst. Ecol. Archit. Environ. J.(KIEAE J.), 18, 47-54.
18 de Wilde, P. (2014). The gap between predicted and measured energy performance of buildings: A framework for investigation. Automation in Construction, 41, 40-49.   DOI