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Analysis of Energy Saving Potential in High-Performance Building Technologies under Korean Climatic Conditions

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  • Chul-Ho Kim

    (Department of Architecture, College of Engineering, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul 02841, Korea)

  • Seung-Eon Lee

    (Building and Urban Research Institute, Korea Institute of Civil Engineering and Building Technology, 283 Goyangdae-Ro, Ilsanseo-Gu, Goyang-Si, Gyeonggi-Do 10223, Korea)

  • Kang-Soo Kim

    (Department of Architecture, College of Engineering, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul 02841, Korea)

Abstract

This study aims to suggest a basis for the selection of technologies for developing high-performance buildings to reduce energy consumption and greenhouse gas emissions. Energy-saving technologies comprising 15 cases were categorized into passive, active, and renewable energy systems. EnergyPlus v8.8.0 was used to analyze the contribution of each technology in reducing the primary energy consumptions and CO 2 emissions in the Korean climate. The primary energy consumptions of the base model were 464.1 and 485.1 kWh/m²a in the Incheon and Jeju region, respectively, and the CO 2 emissions were 83.4 and 87.4 kgCO 2 /m²a, respectively. Each technology (cases 1–15) provided different energy-saving contributions in the Korean climate depending on their characteristics. The heating, cooling, and other energy-saving contributions of each technology indicate that their saving rates can be used when selecting suitable technologies during the cooling and heating seasons. Case 15 (active chilled beam with dedicated outdoor air system + ground source heat pump) showed the highest energy saving rate. In case 15, the Incheon and Jeju models were reduced by 189.4 (59.2%) and 206.2 kWh/m²a (57.4%) compared to the base case, respectively, and the CO 2 emissions were reduced by up to 32.7 (60.8%) and 35.6 kgCO 2 /m²a (59.3%), respectively.

Suggested Citation

  • Chul-Ho Kim & Seung-Eon Lee & Kang-Soo Kim, 2018. "Analysis of Energy Saving Potential in High-Performance Building Technologies under Korean Climatic Conditions," Energies, MDPI, vol. 11(4), pages 1-34, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:884-:d:140456
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    References listed on IDEAS

    as
    1. Ki-Hyung Yu & Seong-Hoon Yoon & Hae-Kwon Jung & Kee Han Kim & Kyoo-Dong Song, 2015. "Influence of Lighting Loads upon Thermal Comfort under CBAD and UFAD Systems," Energies, MDPI, vol. 8(6), pages 1-19, June.
    2. Zhao, Hai-xiang & Magoulès, Frédéric, 2012. "A review on the prediction of building energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3586-3592.
    3. Schicktanz, M.D. & Wapler, J. & Henning, H.-M., 2011. "Primary energy and economic analysis of combined heating, cooling and power systems," Energy, Elsevier, vol. 36(1), pages 575-585.
    4. Ayoub, Nasser & Yuji, Naka, 2012. "Governmental intervention approaches to promote renewable energies—Special emphasis on Japanese feed-in tariff," Energy Policy, Elsevier, vol. 43(C), pages 191-201.
    5. Sanchez, Marla C. & Brown, Richard E. & Webber, Carrie & Homan, Gregory K., 2008. "Savings estimates for the United States Environmental Protection Agency's ENERGY STAR voluntary product labeling program," Energy Policy, Elsevier, vol. 36(6), pages 2098-2108, June.
    6. Mattias Gustafsson & Richard Thygesen & Björn Karlsson & Louise Ödlund, 2017. "Rev-Changes in Primary Energy Use and CO 2 Emissions—An Impact Assessment for a Building with Focus on the Swedish Proposal for Nearly Zero Energy Buildings," Energies, MDPI, vol. 10(7), pages 1-14, July.
    7. Hurtado, L.A. & Rhodes, J.D. & Nguyen, P.H. & Kamphuis, I.G. & Webber, M.E., 2017. "Quantifying demand flexibility based on structural thermal storage and comfort management of non-residential buildings: A comparison between hot and cold climate zones," Applied Energy, Elsevier, vol. 195(C), pages 1047-1054.
    8. Yongtao Shen & Ruihua Wei & Lihong Xu, 2018. "Energy Consumption Prediction of a Greenhouse and Optimization of Daily Average Temperature," Energies, MDPI, vol. 11(1), pages 1-17, January.
    9. Delia D’Agostino & Paolo Zangheri & Luca Castellazzi, 2017. "Towards Nearly Zero Energy Buildings in Europe: A Focus on Retrofit in Non-Residential Buildings," Energies, MDPI, vol. 10(1), pages 1-15, January.
    10. Giuliano Dall'O' & Valentina Belli & Mauro Brolis & Ivan Mozzi & Mauro Fasano, 2013. "Nearly Zero-Energy Buildings of the Lombardy Region (Italy), a Case Study of High-Energy Performance Buildings," Energies, MDPI, vol. 6(7), pages 1-22, July.
    11. Pasut, Wilmer & Bauman, Fred & De Carli, Michele, 2014. "The use of ducts to improve the control of supply air temperature rise in UFAD systems: CFD and lab study," Applied Energy, Elsevier, vol. 134(C), pages 490-498.
    12. Walter, Travis & Sohn, Michael D., 2016. "A regression-based approach to estimating retrofit savings using the Building Performance Database," Applied Energy, Elsevier, vol. 179(C), pages 996-1005.
    13. Paolo Maria Congedo & Delia D’Agostino & Cristina Baglivo & Giuliano Tornese & Ilaria Zacà, 2016. "Efficient Solutions and Cost-Optimal Analysis for Existing School Buildings," Energies, MDPI, vol. 9(10), pages 1-24, October.
    14. Congedo, Paolo Maria & Baglivo, Cristina & D'Agostino, Delia & Zacà, Ilaria, 2015. "Cost-optimal design for nearly zero energy office buildings located in warm climates," Energy, Elsevier, vol. 91(C), pages 967-982.
    15. Weiss, Martin & Dittmar, Lars & Junginger, Martin & Patel, Martin K. & Blok, Kornelis, 2009. "Market diffusion, technological learning, and cost-benefit dynamics of condensing gas boilers in the Netherlands," Energy Policy, Elsevier, vol. 37(8), pages 2962-2976, August.
    16. Gregory Briner & Andrew Prag, 2013. "Establishing and Understanding Post-2020 Climate Change Mitigation Commitments," OECD/IEA Climate Change Expert Group Papers 2013/3, OECD Publishing.
    17. Massimo Tavoni & Elmar Kriegler & Keywan Riahi & Detlef P. van Vuuren & Tino Aboumahboub & Alex Bowen & Katherine Calvin & Emanuele Campiglio & Tom Kober & Jessica Jewell & Gunnar Luderer & Giacomo Ma, 2015. "Post-2020 climate agreements in the major economies assessed in the light of global models," Nature Climate Change, Nature, vol. 5(2), pages 119-126, February.
    18. Satyavada, Harish & Baldi, Simone, 2018. "Monitoring energy efficiency of condensing boilers via hybrid first-principle modelling and estimation," Energy, Elsevier, vol. 142(C), pages 121-129.
    19. Li, Cheng & Hong, Tianzhen & Yan, Da, 2014. "An insight into actual energy use and its drivers in high-performance buildings," Applied Energy, Elsevier, vol. 131(C), pages 394-410.
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    Cited by:

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