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x-Ray Approach to Develop Energy Model for Existing Buildings
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 Title & Authors
x-Ray Approach to Develop Energy Model for Existing Buildings
Yoon, Seong-Hwan; Park, Cheol-Soo;
Energy consumption by existing buildings accounts for a significant portion of the energy use in building stock. To improve energy performance of existing buildings, it is necessary to have a scientific and objective energy model to assess building energy performance as well as decision making for building energy retrofit. Such energy model must be very simple, easy-to-develop, accurate enough and easy-to-use so that it can be used for a large portfolio of existing buildings. With this in mind, the paper presents a new concept so called building energy x-Ray approach. The approach utilizes ISO 13790 simple hourly calculation method as well as other EN energy standards, rather than resorting to full-blown dynamic simulation tools (e.g. EnergyPlus) which is too time-effort-cost intensive. The x-Ray approach, implementable in MATLAB environment, was applied to two existing office buildings. The paper reports the results of such application in terms of accuracy, usability, and limitations.
energy model;existing buildings;ISO 13790;building energy;calibration;
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대한건축학회논문집:계획계, 2015. vol.31. 11, pp.199-209 crossref(new window)
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한국건축친환경설비학회 논문집, 2016. vol.10. 6, pp.449-455
The development of an energy-efficient remodeling framework in South Korea, Habitat International, 2016, 53, 430  crossref(new windwow)
Bayesian Calibration of Energy Model for Existing Buildings, Journal of the architectural institute of Korea planning & design, 2014, 30, 10, 189  crossref(new windwow)
국가에너지위원회, 제1차 국가에너지 기본 계획, 2008

국토교통부, 지역별/용도별 건축물 현황, 2013 (

김영진, 박철수, 몬테카를로 방법을 이용한 공동주택 환기 전략의 불확실성 분석, 대한건축학회논문집 제24권 8호, p.p.311-320, 2008

박철수, 규범적 건물성능평가방법, 대한건축학회논문집, 22(11), 2006

설비공학편람, 설비공학편람, 제 4권 위생.소방 및 환경, 대한설비공학회, 2004

윤성환, 김영진, 박철수, 기존 건축물 에너지 리트로핏을 위한 확률적 접근, 대한건축학회 춘계학술발표대회 논문집 제33권 제1호, p.p.293-294, 2013년 4월 27일, 인천 포스코R&D센터, 2013

윤성환, 박철수, Grey Box 방법을 이용한 이중외피 집중 시뮬레이션 모델 개발, 대한건축학회논문집 제24권 4호, p.p.199-208, 2008

이동현, 김영진, 박철수, 김인한, 베이지언 확률적 보정을 이용한 에너지 시뮬레이션, 대한건축학회 논문집 제 29권 제 2호, p.p.243-250, 2013

EAN테크놀로지, 한국수자원공사 대전본사 본관동 리모델링 계획보고서, 2012

ESCOPro, OO-타워 에너지 진단 보고서, 2010

Ahn, K.U., Kim, D.W., Yoon, S.H., Kim, Y.J. and Park, C.S., Data availability and validity issues for dynamic simulation of a high-rise office building, The 1st Asia conference of International Building Performance simulation Association, November 25-27, Shanghai, China, 2012

ASHRAE, Cooling and heating load calculation principles, Atlanta, 1998

ASHRAE, ASHRAE Guildeline 14: Measurement of energy and demand savings, Atlanta, 2002

ASHRAE, ASHRAE handbook fundamentals, Atlanta, 2009

Brohus, H., Frier, C., Heiselberg, P. and Haghighat, F., Quantification of uncertainty in predicting building energy consumption: A stochastic approach, Energy and Buildings, Vol.55, p.p.127-140, 2012 crossref(new window)

Corrado, V. and Fabrizio, E., Assessment of building cooling energy need through a quasi-steady state model: simplified correlation for gain-loss mismatch, Energy and Building, 39(5), p.p.569-579, 2007 crossref(new window)

Dijk, H. and Spiekman, M., Energy Performance of Building: Outline for Harmonised EP Procedures, Final Report EU SAVE ENPER project, Task B6, TNO Building and Construction Research, Delft(NL), 2004

DOE, EnergyPlus 6.0 Input Output Reference: The Encyclopedic Reference to EnergyPlus Input and Output, US Department Of Energy, 2010

EN ISO 13790, Energy performance of buildings - Calculation of energy use for space heating and cooling, 2008

EN ISO 13786, Thermal performance of building components - dynamic thermal characteristics - calculation methods, 2008

EN 15193, Energy performance of buildings-Energy requirements for lighting, 2008

EN 15241, Ventilation for buildings-Calculation methods for energy losses due to ventilation and infiltration in buildings, 2011

EN 15242, Ventilation for buildings-Calculation methods for the determination of air flow rates in buildings including infiltration, 2007

EN 15316-2-3, Heating systems in buildings-Method for calculation of system energy requirements and system efficiencies-Part 2-3: Space heating distribution systems, 2007

EN 15316-3-1, Heating systems in buildings-Method for calculation of system energy requirements and system efficiencies-Part 3-1: Domestic hot water systems, characterisation of needs, 2008

EN 15316-3-2, Heating systems in buildings-Method for calculation of system energy requirements and system efficiencies-Part 3-2: Domestic hot water systems, distribution, 2008

EN 15316-3-3, Heating systems in buildings-Method for calculation of system energy requirements and system efficiencies-Part 3-3: Domestic hot water systems, generation, 2008

Heo, Y.S., Bayesian calibration of building energy models for energy retrofit decision-making under uncertainty, Georgia Institute of Technology, Atlanta, GA, USA, 2011 (Ph.D. Thesis), 2011

IBPSA, Proceedings of the International Building Performance Simulation Association Conferences, (87, 91, 93, 95, 97, 99, 2001, 03, 05, 07, 09, 11, 13), 1987-2013

Jokisalo, J. and Kurnitski, J., Performance of EN ISO 13790 utilisation factor heat demand calculation method in a cold climate, Energy and Building Vol.39, p.p.236-247, 2007 crossref(new window)

Kim, Y.J., Yoon, S.H. and Park, C.S., Stochastic comparison between simplified energy calculation and dynamic simulation, Energy and Buildings, Vol.64, p.p.332-342, 2013 crossref(new window)

Kokogiannakis, G., Strachan, P. and Clarke, J., Comparison of the simplified methods of the ISO 13790 standard and detailed modelling programs in a regulatory context, Journal of Building Performance Simulation, 1(4), p.p.209-219, 2008 crossref(new window)

NEN 2916, Energy performance of non-residential buildings, determination method, 1998

Park, C.S. and Augenbroe, G., A Building Performance Toolkit for GSA Interim progress report, College of Architecture, Georgia Institute of Technology, 2002

Yan, Y., Zhou, J., Lin, Y. and Yang, W., Adaptive optimal control model for building cooling and heating sources, Energy and Buildings, Vol.40, p.p.1394-1401, 2008 crossref(new window)

Yoon, S.H., Park, C.S. and Augenbroe, G., On-line parameter estimation and optimal control strategy of a double-skin system, Building and Environment, Vol.46, No.5, p.p.1141-1150, 2011 crossref(new window)