IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i4p855-d139709.html
   My bibliography  Save this article

Analysis of Energy-Related Greenhouse Gas Emission in the Korea’s Building Sector: Use National Energy Statistics

Author

Listed:
  • Tae-Hyoung Kim

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

  • Young-Sun Jeong

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

Abstract

Every country in the world is striving to deal with climate change such as global warming and environmental pollution caused by greenhouse gas emission as well as the depletion of fossil fuel including oil, coal, gas, etc. Countries have set long-term greenhouse gas emission reduction targets in this effort. Korea announced its goal to reduce the national greenhouse gas in medium- and long-term by 25.7% of the observed value of 2030 greenhouse gas emission (BAU) in 2011, and set to reduce the greenhouse gas by 18.2% in the building sector. In addition, according to IPCC (Intergovernmental Panel on Climate Change), greenhouse gas emission in the building sector takes up about 19% of entire emission, a very high percentage along with 31% from the industry sector. This paper calculates the national and building sector greenhouse gas emission based on energy consumption statistics, in order for Korea to achieve Post-2020 greenhouse gas reduction target, predict building sector’s greenhouse gas emission, and implement and reduction policy. The greenhouse gas emission from buildings is about 124.9 million ton CO 2 equivalent as of 2015, taking up about 20% of greenhouse gas emission in Korea’s entire sectors, and decreased in 1998 from 105.0 million ton CO 2 eq in 1997. However, the greenhouse gas emission consistently increased from 119.3 million ton CO 2 eq in 2007 to 127.1 million ton CO 2 eq in 2010 and 127.3 million ton CO 2 eq in 2013.

Suggested Citation

  • Tae-Hyoung Kim & Young-Sun Jeong, 2018. "Analysis of Energy-Related Greenhouse Gas Emission in the Korea’s Building Sector: Use National Energy Statistics," Energies, MDPI, vol. 11(4), pages 1-17, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:855-:d:139709
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/4/855/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/4/855/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francesco Calise & Massimo Dentice D’Accadia & Carlo Barletta & Vittoria Battaglia & Antun Pfeifer & Neven Duic, 2017. "Detailed Modelling of the Deep Decarbonisation Scenarios with Demand Response Technologies in the Heating and Cooling Sector: A Case Study for Italy," Energies, MDPI, vol. 10(10), pages 1-33, October.
    2. Miimu Airaksinen & Pellervo Matilainen, 2011. "A Carbon Footprint of an Office Building," Energies, MDPI, vol. 4(8), pages 1-14, August.
    3. Kangji Li & Lei Pan & Wenping Xue & Hui Jiang & Hanping Mao, 2017. "Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study," Energies, MDPI, vol. 10(2), pages 1-23, February.
    4. Davide Astiaso Garcia & Fabrizio Cumo & Mariagrazia Tiberi & Valentina Sforzini & Giuseppe Piras, 2016. "Cost-Benefit Analysis for Energy Management in Public Buildings: Four Italian Case Studies," Energies, MDPI, vol. 9(7), pages 1-17, July.
    5. Young-Sun Jeong, 2017. "Assessment of Alternative Scenarios for CO 2 Reduction Potential in the Residential Building Sector," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    6. Rui Jiang & Rongrong Li, 2017. "Decomposition and Decoupling Analysis of Life-Cycle Carbon Emission in China’s Building Sector," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nestor Shpak & Solomiya Ohinok & Ihor Kulyniak & W³odzimierz Sroka & Armenia Androniceanu, 2022. "Macroeconomic Indicators and CO2 Emissions in the EU Region," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 24(61), pages 817-817, August.
    2. Wilhelm Jan Tic & Joanna Guziałowska-Tic, 2023. "A System of Improving Energy and Ecological Efficiency, Using the Example of Fuel Oil Combustion in Power Plant Boilers," Energies, MDPI, vol. 16(3), pages 1-15, January.
    3. Mengru Song & Yanjun Wang & Cheng Wang & Walter Musakwa & Yiye Ji, 2024. "Spatial and Temporal Characteristics of Carbon Emissions from Construction Industry in China from 2010 to 2019," Sustainability, MDPI, vol. 16(14), pages 1-25, July.
    4. Ji, Changyoon & Hong, Taehoon & Kim, Hakpyeong, 2022. "Statistical analysis of greenhouse gas emissions of South Korean residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    5. Younghoon Kwak & Jeong-A Kang & Jung-Ho Huh & Tae-Hyoung Kim & Young-Sun Jeong, 2019. "An Analysis of the Effectiveness of Greenhouse Gas Reduction Policy for Office Building Design in South Korea," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    6. Yi Yuan & Yingjie Li & Jianli Zhao, 2018. "Development on Thermochemical Energy Storage Based on CaO-Based Materials: A Review," Sustainability, MDPI, vol. 10(8), pages 1-24, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Emanuele Bonamente & Franco Cotana, 2015. "Carbon and Energy Footprints of Prefabricated Industrial Buildings: A Systematic Life Cycle Assessment Analysis," Energies, MDPI, vol. 8(11), pages 1-17, November.
    3. Changyu Zhou & Guohe Huang & Jiapei Chen, 2019. "A Type-2 Fuzzy Chance-Constrained Fractional Integrated Modeling Method for Energy System Management of Uncertainties and Risks," Energies, MDPI, vol. 12(13), pages 1-21, June.
    4. Sara Bellocchi & Michele Manno & Michel Noussan & Michela Vellini, 2019. "Impact of Grid-Scale Electricity Storage and Electric Vehicles on Renewable Energy Penetration: A Case Study for Italy," Energies, MDPI, vol. 12(7), pages 1-32, April.
    5. Ainur Tukhtamisheva & Dinar Adilova & Karolis Banionis & Aurelija Levinskytė & Raimondas Bliūdžius, 2020. "Optimization of the Thermal Insulation Level of Residential Buildings in the Almaty Region of Kazakhstan," Energies, MDPI, vol. 13(18), pages 1-16, September.
    6. Changyu Zhou & Guohe Huang & Jiapei Chen, 2018. "A Multi-Objective Energy and Environmental Systems Planning Model: Management of Uncertainties and Risks for Shanxi Province, China," Energies, MDPI, vol. 11(10), pages 1-21, October.
    7. Flores, Francisco & Feijoo, Felipe & DeStephano, Paelina & Herc, Luka & Pfeifer, Antun & Duić, Neven, 2024. "Assessment of the impacts of renewable energy variability in long-term decarbonization strategies," Applied Energy, Elsevier, vol. 368(C).
    8. Monjurul Hasan, A S M & Trianni, Andrea & Shukla, Nagesh & Katic, Mile, 2022. "A novel characterization based framework to incorporate industrial energy management services," Applied Energy, Elsevier, vol. 313(C).
    9. Chao-Qun Ma & Jiang-Long Liu & Yi-Shuai Ren & Yong Jiang, 2019. "The Impact of Economic Growth, FDI and Energy Intensity on China’s Manufacturing Industry’s CO 2 Emissions: An Empirical Study Based on the Fixed-Effect Panel Quantile Regression Model," Energies, MDPI, vol. 12(24), pages 1-16, December.
    10. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.
    11. Benjamin Kubwimana & Hamidreza Najafi, 2023. "A Novel Approach for Optimizing Building Energy Models Using Machine Learning Algorithms," Energies, MDPI, vol. 16(3), pages 1-16, January.
    12. Liang, Wei & Gan, Ting & Zhang, Wei, 2019. "Dynamic evolution of characteristics and decomposition of factors influencing industrial carbon dioxide emissions in China: 1991–2015," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 93-106.
    13. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
    14. Haiyan Duan & Shipei Zhang & Siying Duan & Weicheng Zhang & Zhiyuan Duan & Shuo Wang & Junnian Song & Xian’en Wang, 2019. "Carbon Emissions Peak Prediction and the Reduction Pathway in Buildings during Operation in Jilin Province Based on LEAP," Sustainability, MDPI, vol. 11(17), pages 1-23, August.
    15. El Asri, Najat & Nouira, Youness & Maaroufi, Ibtissam & Marfak, Abdelghafour & Saleh, Nour & Mharzi, Mohammed, 2022. "The policy of energy management in public buildings procurements through the study of the process of delegated project management - Case of Morocco," Energy Policy, Elsevier, vol. 165(C).
    16. Ascione, Fabrizio & Bianco, Nicola & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2019. "A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin," Applied Energy, Elsevier, vol. 241(C), pages 331-361.
    17. Mohamed Hamdy & Gerardo Maria Mauro, 2017. "Multi-Objective Optimization of Building Energy Design to Reconcile Collective and Private Perspectives: CO 2 -eq vs. Discounted Payback Time," Energies, MDPI, vol. 10(7), pages 1-26, July.
    18. Younghoon Kwak & Jeong-A Kang & Jung-Ho Huh & Tae-Hyoung Kim & Young-Sun Jeong, 2019. "An Analysis of the Effectiveness of Greenhouse Gas Reduction Policy for Office Building Design in South Korea," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    19. Bellocchi, Sara & Manno, Michele & Noussan, Michel & Prina, Matteo Giacomo & Vellini, Michela, 2020. "Electrification of transport and residential heating sectors in support of renewable penetration: Scenarios for the Italian energy system," Energy, Elsevier, vol. 196(C).
    20. Kaiser Ahmed & Margaux Carlier & Christian Feldmann & Jarek Kurnitski, 2018. "A New Method for Contrasting Energy Performance and Near-Zero Energy Building Requirements in Different Climates and Countries," Energies, MDPI, vol. 11(6), pages 1-22, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:855-:d:139709. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.