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      KCI등재

      Inverse Model Toolkit을 이용한 리모델링 건축물의 에너지 성능평가 사례

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      https://www.riss.kr/link?id=A100093269

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      다국어 초록 (Multilingual Abstract)

      Several models and methods have been developed to verify the improvement of energy performance in retrofit buildings. The verification is important to confirm the effectiveness of new technologies or retrofits. Inverse model toolkit proposed by ASHRAE...

      Several models and methods have been developed to verify the improvement of energy performance in retrofit buildings. The verification is important to confirm the effectiveness of new technologies or retrofits. Inverse model toolkit proposed by ASHRAE evaluates the changes of the energy performance of retrofit buildings by using actual energy consumption data. In this study, the inverse model toolkit was used to analyze heating and cooling energy performance of an office building. Analyzed coefficients of correlation of actual energy consumption with estimated energy consumption was above 0.92 and well fitted. It was confirmed that energy consumption of natural gas decreased by 43.4% and also that electricity decreased by 13.8%, after the retrofit of the case building. For the energy usage, cooling energy was increased by 7.4%, heating energy was decreased by 42.3%, hot water and cooking were increased by 3.4%, lighting and electronics were decreased by 19.3%, and the total energy was decreased by 18.9%.

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      목차 (Table of Contents)

      • Abstract
      • 1. 서론
      • 2. Inverse Model Toolkit 개요
      • 3. 연구 방법
      • 4. 분석 결과
      • Abstract
      • 1. 서론
      • 2. Inverse Model Toolkit 개요
      • 3. 연구 방법
      • 4. 분석 결과
      • 5. 결론
      • References
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      참고문헌 (Reference)

      1 Rabl, A., "Steady state models for analysis of commercial building energy data" 9.239-9.261, 1992

      2 Statistics Korea, Korean statistical information service, "Statistics of building permission commencement works"

      3 Statistics Korea, Korean statistical information service, "Statistics of building"

      4 Schrock, D. W., "Predicting energy usage in a supermarket" Texas A&M University 44-54, 1989

      5 Fels, M. F., "PRISM : An introduction" 9 (9): 5-18, 1986

      6 Fels, M. F., "PRISM (Advanced Version 1.0) Users Guide"

      7 Kissock, J. K., "Modeling commercial building energy use with artificial neural networks" 3 : 1290-1295, 1994

      8 Haberl, J. S., "Literature review of uncertainty of analysis methods(Inverse Model Toolkit)" Texas Commission on Environmental Quality 2004

      9 Kissock, J. K., "Inverse Modeling Toolkit : Numerical Algorithms" ASHRAE 2002

      10 ASHRAE, "Guideline 14-2002-Measurement of energy and demand savings"

      1 Rabl, A., "Steady state models for analysis of commercial building energy data" 9.239-9.261, 1992

      2 Statistics Korea, Korean statistical information service, "Statistics of building permission commencement works"

      3 Statistics Korea, Korean statistical information service, "Statistics of building"

      4 Schrock, D. W., "Predicting energy usage in a supermarket" Texas A&M University 44-54, 1989

      5 Fels, M. F., "PRISM : An introduction" 9 (9): 5-18, 1986

      6 Fels, M. F., "PRISM (Advanced Version 1.0) Users Guide"

      7 Kissock, J. K., "Modeling commercial building energy use with artificial neural networks" 3 : 1290-1295, 1994

      8 Haberl, J. S., "Literature review of uncertainty of analysis methods(Inverse Model Toolkit)" Texas Commission on Environmental Quality 2004

      9 Kissock, J. K., "Inverse Modeling Toolkit : Numerical Algorithms" ASHRAE 2002

      10 ASHRAE, "Guideline 14-2002-Measurement of energy and demand savings"

      11 Rabl, A., "Energy signature models for commercial buildings : test with measured data and interpretation" 19 (19): 143-154, 1992

      12 Kissock, J. K., "EModel Version 1.4de" Texas A&M University 1994

      13 Christensen, C., "Building energy simulation accuracy" National Renewable Energy Laboratory 2010

      14 Kissock, J. K., "A methodology to measure energy savings in commercial buildings" Texas A&M University 1993

      15 Goldberg, M. L., "A geometrical approach to nondifferentiable regression models as related to methods for assessing residential energy conservation" Princeton University 1982

      16 Ruch, D., "A four-parameter change-point model for predicting energy consumption in commercial buildings" 114 (114): 77-83, 1992

      17 Ruch, D., "A four-parameter change-point model for predicting energy consumption in commercial buildings" 114 (114): 77-83, 1992

      18 Ruch, D., "A development and comparison of NAC estimates for linear and changepoint energy models for commercial buildings" 20 (20): 87-95, 1993

      19 Ruch, D., "A change-point principal component analysis (CP/PCA) method for predicting energy usage in commercial buildings : The PCA Model" 115 (115): 77-84, 1993

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      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 계속평가 신청대상 (등재유지)
      2017-01-01 평가 우수등재학술지 선정 (계속평가)
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1999-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.8 0.8 0.62
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.51 0.44 0.622 0.03
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