Impact Analysis of Indoor Cooling Temperature Regulation for
Buildings Sectors Using GCAM

doi:10.12972/ksmer.2016.53.1.010

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2016 Vol.53, Issue 1 Preview Page Next Page

Research Paper

Impact Analysis of Indoor Cooling Temperature Regulation for Buildings Sectors Using GCAM GCAM을 이용한 건물부문 실내온도 규제의 효과 분석: 백민호·Zulfikar Yurnaidi·오재익·김수덕
Minho Baek, Zulfikar Yurnaidi, Jaeick Oh and Suduk Kim

28 February 2016. pp. 10-18

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Abstract

This paper attempts to extend its impact analysis of indoor cooling temperature control to all typesof buildings, which currently is only the obligation of public buildings under the Rational Energy UtilizationRegulations, using Global Change Assessment Model (GCAM). Once the updates of building sector informationfor GCAM with its base year of 2005, model simulations are conducted for the cases of indoor temperature controlof 18°C, 26°C, 28°C, respectively. Cumulative impacts expected up to 2030 since 2015 are 173.2 MTOE, USD64.4Bil., 360.5 MTCO2 for primary energy consumption reduction, energy import reduction and CO2 emissionreduction, respectively for the case of 28°C. Considering the fact that this amounts to 64.6% of total energyimports of 2013, it is recommended to reform the current indoor temperature regulation being extended tocommercial buildings with properly designed incentive structure.

Keywords

Indoor Cooling Temperature Regulation

Energy Census

GCAM (Global Change Assessment Model)

본 연구는 공공기관 냉방온도 준수의무를 전체 건물부문에 적용하였을 경우 예상되는 효과를 분석한다.2005년 에너지총조사 건물부문 자료를 이용하여 기준년도 에너지소비량을 설정하고, 서울지역 시간대별 기온데이터를 이용하여 18°C, 26°C, 28°C 기준의 연간 냉방도일을 산정하여 시나리오를 구성하여, Global ChangeAssessment Model (GCAM)을 사용하여 시뮬레이션하였다. 2015년부터 2030년까지 시나리오별 최대 누적 1차에너지수입량 및 비용, 온실가스배출 저감량은 각각 173.2 MTOE, USD64.4Bil., 360.5 MTCO2이며, 상업용건물의 절감효과가 가장 큰 것을 확인하였다. 최대 누적비용 절감액이 2013년 에너지수입 총액의 64.6%에 달하는규모라는 점에서, 에너지절감과 국제수지개선, 온실가스 저감을 위해 인센티브 구조를 제공함으로써 여름철상업용 건물부문의 실내온도 규제정책을 에너지이용합리화의 한 방안으로 고려해 봄직하다.

키워드

건물실내온도 규제

에너지총조사

GCAM (Global Change Assessment Model)

References

Baek, M.H., Yurnaidi, Z., Oh, J.I. and Kim, S.D., 2015a, “Impact Analysis of Indoor Temperature Regulation on Korean Building Sector,” Proceeding of 2015 Economics Joint Conference, Korea Resource Economics Association, Yonsei University (Seoul), Daewoo Hall Annex B103, 24th February, pp. 147-177.
Baek, M.H., Yurnaidi, Z., Oh, J.I. and Kim, S.D., 2015b, “Analyzing the Long-Term Impact of Energy Efficiency Improvement Programs on Large Commercial Buildings Using GCAM-EML,” Korean Energy Economic Review, Vol. 14, No. 3, pp. 229-264.
Brenkert, A.L., Smith, A.J., Kim, S.H. and Pitcher, H.M., 2003, Model Documentation for the MiniCAM, Pacific Northwest National Laboratory, WA, USA, pp. 1-69.
Chaturvedi, V., Eom, J.Y., Clarke, L.E. and Shukla, P.R., 2014, “Long term building energy demand for India: Disaggregating end use energy services in an integrated assessment modeling framework,” Energy Policy. Vol. 64, pp. 226–242.
Eom, J., Kyle, G.P., Clarke, L.E., Patel, P.L. and Kim, S.H., 2012, China’s Building Energy Use: A Long-Term Perspective based on a Detailed Assessment, Pacific Northwest National Laboratory, WA, USA, pp. 1-47.
EPA (Environmental Protection Agency), 2015. 12. 20, http://www3.epa.gov/climatechange/science/indicators/health-society/heating-cooling.html.
GCAM Buildings, 2015. 11. 20, http://wiki.umd.edu/gcam/ index.php/Buildings.
IPCC (Intergovernmental Panel on Climate Change), 2007, Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, Pachauri, R.K and Reisinger, A.(eds.)]. IPCC, Geneva, Switzerland, 104, pp. 55-62.
KEEI (Korea Energy Economics Institute), 2013, Yearbook of Energy Statistics, Gyeonggi-Do. pp. 22-71.
KMA (Korea Meteorological Administration) Encyclopedia, 2015. 12. 20, http://web.kma.go.kr/communication/encyclopedia/ list.jsp.
Kyle, P., 2010, Documentation of GCAM Calibration (Internal Material), Pacific Northwest National Laboratory, WA, USA, pp. 1-16.
Lee, S.I. and Kim, C.H., 2014, A Unified System for Energy Conservation and Efficiency Program Evaluation: Assessing the Models for Energy Policy Analysis, Korea Energy Economics Institute, Ulsan, pp. 1-107.
Maurer, E.P., Adam, J.C. and Wood, A.W., 2009, Climate model based consensus on the hydrologic impacts of climate change to the Rio Lempa basin of Central America. Hydrol Earth Syst Sci, 13 pp. 183-194.
MCIE (Ministry of Commerce Industry and Energy), 2006, the 9th Edition(2005) Energy Consumption Survey, Gyeonggi-Do, pp. 1-1067.
MKE (Ministry of Knowledge Economy), 2009, the 10th Edition (2008) Energy Consumption Survey, Gyeonggi-Do, pp. 1-719.
MKE (Ministry of Knowledge Economy), 2011, Regulations on Energy Use Rationalization of Public Buildings. MKE notification 2011-154, Gyunggi-do. pp. 1-14.
MKE (Ministry of Knowledge Economy), 2012, the 11th Edition (2011) Energy Consumption Survey, Gyeonggi-Do, pp. 1-687.
MOTIE (Ministry of Trade, Industry and Energy), 2014, The 5th amendment of Regulations on Energy Use Rationalization of Public Buildings, MOTIE Notification 2014-196, Gyunggi-do. pp. 1-32.
Pang, T., 1997, An Introduction to Computational Physics, 2nd Ed., Cambridge University Press, New York, United States, pp. 1-402.
Park, K.H., Lee, C.S. and Yang, J.E., 2010, A Study on the Major Countries’ Energy Saving Program in the Summer Season: Focused on the Building Indoor Temperature Regulations, Korea Energy Economics Institute, Gyeonggi-Do. pp. 1-70.
Sohn, J.C. and Kim, S.D., 2015, “Comparative Analyses of Korean Energy Balance Tables from KEEI and IEA (in 2009),” Environmental and Resource Economics Review, Vol. 24, No. 1. pp. 109-139.
Yu, S., Eom, J.Y., Zhou, Y., Evans, M. and Clarke, L., 2014, “Scenarios of building energy demand for China with a detailed regional representation,” Energy, Volume 67, pp. 284-297.
Zhou, Y., Clarke, L., Eom, J.Y., Kyle, P., Patel, P., Kim, S.H., Dirks, J., Jensen, E., Liu, Y., Rice, J., Schmidt, L. and Seiple, T., 2014, “Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework,” Applied Energy, Vol. 113, pp. 1077-1088.
Zhou, Y., Eom, J.Y. and Clarke, L., 2013, “The effect of global climate change, population distribution, and climate mitigation on building energy use in the U.S. and China,” Climatic Change, Vol. 119, No. 3, pp. 979-992.

Information

Publisher :The Korean Society of Mineral and Energy Resources Engineers
Publisher(Ko) :한국자원공학회
Journal Title :Journal of the Korean Society of Mineral and Energy Resources Engineers
Journal Title(Ko) :한국자원공학회지
Volume : 53
No :1
Pages :10-18
DOI :https://doi.org/10.12972/ksmer.2016.53.1.010

[1] Baek, M.H., Yurnaidi, Z., Oh, J.I. and Kim, S.D., 2015a, “Impact Analysis of Indoor Temperature Regulation on Korean Building Sector,” Proceeding of 2015 Economics Joint Conference, Korea Resource Economics Association, Yonsei University (Seoul), Daewoo Hall Annex B103, 24th February, pp. 147-177.

[2] Baek, M.H., Yurnaidi, Z., Oh, J.I. and Kim, S.D., 2015b, “Analyzing the Long-Term Impact of Energy Efficiency Improvement Programs on Large Commercial Buildings Using GCAM-EML,” Korean Energy Economic Review, Vol. 14, No. 3, pp. 229-264.

[3] Brenkert, A.L., Smith, A.J., Kim, S.H. and Pitcher, H.M., 2003, Model Documentation for the MiniCAM, Pacific Northwest National Laboratory, WA, USA, pp. 1-69.

[4] Chaturvedi, V., Eom, J.Y., Clarke, L.E. and Shukla, P.R., 2014, “Long term building energy demand for India: Disaggregating end use energy services in an integrated assessment modeling framework,” Energy Policy. Vol. 64, pp. 226–242.

[5] Eom, J., Kyle, G.P., Clarke, L.E., Patel, P.L. and Kim, S.H., 2012, China’s Building Energy Use: A Long-Term Perspective based on a Detailed Assessment, Pacific Northwest National Laboratory, WA, USA, pp. 1-47.

[6] EPA (Environmental Protection Agency), 2015. 12. 20, http://www3.epa.gov/climatechange/science/indicators/health-society/heating-cooling.html.

[7] GCAM Buildings, 2015. 11. 20, http://wiki.umd.edu/gcam/ index.php/Buildings.

[8] IPCC (Intergovernmental Panel on Climate Change), 2007, Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, Pachauri, R.K and Reisinger, A.(eds.)]. IPCC, Geneva, Switzerland, 104, pp. 55-62.

[9] KEEI (Korea Energy Economics Institute), 2013, Yearbook of Energy Statistics, Gyeonggi-Do. pp. 22-71.

[10] KMA (Korea Meteorological Administration) Encyclopedia, 2015. 12. 20, http://web.kma.go.kr/communication/encyclopedia/ list.jsp.

[11] Kyle, P., 2010, Documentation of GCAM Calibration (Internal Material), Pacific Northwest National Laboratory, WA, USA, pp. 1-16.

[12] Lee, S.I. and Kim, C.H., 2014, A Unified System for Energy Conservation and Efficiency Program Evaluation: Assessing the Models for Energy Policy Analysis, Korea Energy Economics Institute, Ulsan, pp. 1-107.

[13] Maurer, E.P., Adam, J.C. and Wood, A.W., 2009, Climate model based consensus on the hydrologic impacts of climate change to the Rio Lempa basin of Central America. Hydrol Earth Syst Sci, 13 pp. 183-194.

[14] MCIE (Ministry of Commerce Industry and Energy), 2006, the 9th Edition(2005) Energy Consumption Survey, Gyeonggi-Do, pp. 1-1067.

[15] MKE (Ministry of Knowledge Economy), 2009, the 10th Edition (2008) Energy Consumption Survey, Gyeonggi-Do, pp. 1-719.

[16] MKE (Ministry of Knowledge Economy), 2011, Regulations on Energy Use Rationalization of Public Buildings. MKE notification 2011-154, Gyunggi-do. pp. 1-14.

[17] MKE (Ministry of Knowledge Economy), 2012, the 11th Edition (2011) Energy Consumption Survey, Gyeonggi-Do, pp. 1-687.

[18] MOTIE (Ministry of Trade, Industry and Energy), 2014, The 5th amendment of Regulations on Energy Use Rationalization of Public Buildings, MOTIE Notification 2014-196, Gyunggi-do. pp. 1-32.

[19] Pang, T., 1997, An Introduction to Computational Physics, 2nd Ed., Cambridge University Press, New York, United States, pp. 1-402.

[20] Park, K.H., Lee, C.S. and Yang, J.E., 2010, A Study on the Major Countries’ Energy Saving Program in the Summer Season: Focused on the Building Indoor Temperature Regulations, Korea Energy Economics Institute, Gyeonggi-Do. pp. 1-70.

[21] Sohn, J.C. and Kim, S.D., 2015, “Comparative Analyses of Korean Energy Balance Tables from KEEI and IEA (in 2009),” Environmental and Resource Economics Review, Vol. 24, No. 1. pp. 109-139.

[22] Yu, S., Eom, J.Y., Zhou, Y., Evans, M. and Clarke, L., 2014, “Scenarios of building energy demand for China with a detailed regional representation,” Energy, Volume 67, pp. 284-297.

[23] Zhou, Y., Clarke, L., Eom, J.Y., Kyle, P., Patel, P., Kim, S.H., Dirks, J., Jensen, E., Liu, Y., Rice, J., Schmidt, L. and Seiple, T., 2014, “Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework,” Applied Energy, Vol. 113, pp. 1077-1088.

[24] Zhou, Y., Eom, J.Y. and Clarke, L., 2013, “The effect of global climate change, population distribution, and climate mitigation on building energy use in the U.S. and China,” Climatic Change, Vol. 119, No. 3, pp. 979-992.

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