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      아파트 건물에서 재실자 활동량이 고려된 PMV제어에 따른 연간 국가 차원의 1차 에너지 및 온실가스 감축량 분석

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      다국어 초록 (Multilingual Abstract)

      In this study, the effects of considering hourly metabolic rate variations for predicted mean vote (PMV) control on the heating and cooling energy and greenhouse gas emission were investigated. The case adopting PMV control taking the hourly metabolic rate into account was comparatively analyzed against the conventional dry-bulb air temperature control, using a detailed simulation technique. Under the assumption that all the apartments in Korea adopt the PMV control incorporating real-time metabolic rate measurements, nationwide reductions of primary energy and greenhouse gas emission were analyzed. As a result, PMV control considering hourly metabolic rate variations is expected to reduce national primary energy by 6.2% compared to conventional dry-bulb air temperature control, corresponding to reduction of 10,342 GWh. In addition, it turned out that 6.6% of tCO2 emission can be reduced by adopting PMV control, corresponding to nationwide reduction of greenhouse gas emission by approximately 1,720,000 tCO2.
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      In this study, the effects of considering hourly metabolic rate variations for predicted mean vote (PMV) control on the heating and cooling energy and greenhouse gas emission were investigated. The case adopting PMV control taking the hourly metabolic...

      In this study, the effects of considering hourly metabolic rate variations for predicted mean vote (PMV) control on the heating and cooling energy and greenhouse gas emission were investigated. The case adopting PMV control taking the hourly metabolic rate into account was comparatively analyzed against the conventional dry-bulb air temperature control, using a detailed simulation technique. Under the assumption that all the apartments in Korea adopt the PMV control incorporating real-time metabolic rate measurements, nationwide reductions of primary energy and greenhouse gas emission were analyzed. As a result, PMV control considering hourly metabolic rate variations is expected to reduce national primary energy by 6.2% compared to conventional dry-bulb air temperature control, corresponding to reduction of 10,342 GWh. In addition, it turned out that 6.6% of tCO2 emission can be reduced by adopting PMV control, corresponding to nationwide reduction of greenhouse gas emission by approximately 1,720,000 tCO2.

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      목차 (Table of Contents)

      • Abstract
      • 1. 서론
      • 2. 이론적 배경
      • 3. 시뮬레이션 모델 구축 및 해석조건
      • 4. 결과 분석 및 고찰
      • Abstract
      • 1. 서론
      • 2. 이론적 배경
      • 3. 시뮬레이션 모델 구축 및 해석조건
      • 4. 결과 분석 및 고찰
      • 5. 결론
      • REFERENCES
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      참고문헌 (Reference)

      1 김승남, "친환경건축물인증제 및 건축물에너지효율등급제의 에너지 및 탄소저감 효과 분석 - 서울시 공동주택 단지를 중심으로" 한국도시설계학회 15 (15): 81-102, 2014

      2 김상훈, "실내 온열환경 쾌적 제어를 위한단순 PMV 회귀모델의 적용에 관한 시뮬레이션 연구" 한국에너지학회 24 (24): 69-77, 2015

      3 김동섭, "신 기후체제 협약에 따른 국내 제지산업의 환경경영 방안 모색" 한국펄프·종이공학회 48 (48): 75-82, 2016

      4 Hong, S., "Thermal comfort, energy and cost impacts of PMV control considering individual metabolic rate variations in residential building" 11 (11): 1767-1-1767-21, 2018

      5 Korea Energy Agency, "Thermal Conversion Standard"

      6 Apartment Management Information System, "Residential Area Under Mandatory Management"

      7 "Predicting Thermal Comfort - AREN 3050-CU-Boulder–GradeBuddy"

      8 장향인, "PMV 제어에 따른 사무소 건물의 실내열환경과 에너지소비량 분석" 한국태양에너지학회 33 (33): 15-22, 2013

      9 Hong, S., "PMV based thermal comfort variations depending on MET change" 128-, 2017

      10 "National Green House Gas Inventory Report" Green House Gas General Information Center 2017

      1 김승남, "친환경건축물인증제 및 건축물에너지효율등급제의 에너지 및 탄소저감 효과 분석 - 서울시 공동주택 단지를 중심으로" 한국도시설계학회 15 (15): 81-102, 2014

      2 김상훈, "실내 온열환경 쾌적 제어를 위한단순 PMV 회귀모델의 적용에 관한 시뮬레이션 연구" 한국에너지학회 24 (24): 69-77, 2015

      3 김동섭, "신 기후체제 협약에 따른 국내 제지산업의 환경경영 방안 모색" 한국펄프·종이공학회 48 (48): 75-82, 2016

      4 Hong, S., "Thermal comfort, energy and cost impacts of PMV control considering individual metabolic rate variations in residential building" 11 (11): 1767-1-1767-21, 2018

      5 Korea Energy Agency, "Thermal Conversion Standard"

      6 Apartment Management Information System, "Residential Area Under Mandatory Management"

      7 "Predicting Thermal Comfort - AREN 3050-CU-Boulder–GradeBuddy"

      8 장향인, "PMV 제어에 따른 사무소 건물의 실내열환경과 에너지소비량 분석" 한국태양에너지학회 33 (33): 15-22, 2013

      9 Hong, S., "PMV based thermal comfort variations depending on MET change" 128-, 2017

      10 "National Green House Gas Inventory Report" Green House Gas General Information Center 2017

      11 Lee, K., "Modelling Technique of EnergyPlus with the Theory of HVAC System" Hansol Academy 2018

      12 Kim, S., "Method for calculating greenhouse gas emissions" 35 (35): 73-82, 2008

      13 Jetté, M., "Metabolic equivalents (METS) in exercise testing, exercise prescription and evaluation of functional capacity, department of kinanthropology" 13 (13): 555-565, 1990

      14 Federation of European Heating, Ventilation and Air-Conditioning Association, "Indoor Environment and Productivity in Office Environment-Summary of the Key Contents of REHVA Guidebook No 6"

      15 International Organization for Standardization, "ISO Standard 7730-1984, Moderate Thermal Environments - Determination of the PMV and PPD Indices and Specification of the Conditions for Thermal Comfort"

      16 International Organization for Standardization, "ISO 18523-2 (2018), Energy Performance of Buildings -Schedule and Condition of Building, Zone and Space Usage for Energy Calculation, Part 2 Residential Buildings, Annex A"

      17 The U. S. Department of Energy, "EnergyPlus Engineering Reference"

      18 Cho, J., "Development of an energy evaluation methodology to make multiple predictions of the HVAC&R system energy demand for office buildings" 80 : 169-183, 2014

      19 Korea Energy Agency, "Calculation of Tones CO2Conversion and Carbon Emission Coefficient"

      20 Korea Energy Agency, "Building Energy Efficiency Rating System"

      21 Intergovernmental Panel on Climate Change, "2006 IPCC Guidelines for National Greenhouse Gas Inventories"

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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 등재학술지 유지 (등재유지) KCI등재
      2011-03-25 학술지명변경 한글명 : 대한건축학회 논문집(구조계) -> 대한건축학회논문집 구조계
      외국어명 : Journal of the Architectural Institute of Korea(Structure & Construction) -> Journal of the Architectural Institute of Korea Structure & Construction
      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 0.35 0.35 0.33
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.29 0.27 0.614 0.04
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