LAPSE:2023.27136v1
Published Article

LAPSE:2023.27136v1
Scenario Analysis for GHG Emission Reduction Potential of the Building Sector for New City in South Korea
April 4, 2023
Abstract
A new government report on climate change shows that global emissions of greenhouse gases have increased to very high levels despite various policies to reduce climate change. Building energy accounts for 40% of the world’s energy consumption and accounts for 33% of the world’s greenhouse gas emissions. This study applied the LEAP (Long-range energy alternatives planning) model and Bass diffusion method for predicting the total energy consumption and GHG (Greenhouse Gas) emissions from the residential and commercial building sector of Sejong City in South Korea. Then, using the Bass diffusion model, three scenarios were analyzed (REST: Renewable energy supply target, BES: Building energy saving, BEP: Building energy policy) for GHG reduction. The GHG emissions for Sejong City for 2015−2030 were analyzed, and the past and future GHG emissions of the city were predicted in a Business-as-Usual (BAU) scenario. In the REST scenario, the GHG emissions would attain a 24.5% reduction and, in the BES scenario, the GHG emissions would attain 12.81% reduction by 2030. Finally, the BEP scenario shows the potential for a 19.81% GHG reduction. These results could be used to guide the planning and development of the new city.
A new government report on climate change shows that global emissions of greenhouse gases have increased to very high levels despite various policies to reduce climate change. Building energy accounts for 40% of the world’s energy consumption and accounts for 33% of the world’s greenhouse gas emissions. This study applied the LEAP (Long-range energy alternatives planning) model and Bass diffusion method for predicting the total energy consumption and GHG (Greenhouse Gas) emissions from the residential and commercial building sector of Sejong City in South Korea. Then, using the Bass diffusion model, three scenarios were analyzed (REST: Renewable energy supply target, BES: Building energy saving, BEP: Building energy policy) for GHG reduction. The GHG emissions for Sejong City for 2015−2030 were analyzed, and the past and future GHG emissions of the city were predicted in a Business-as-Usual (BAU) scenario. In the REST scenario, the GHG emissions would attain a 24.5% reduction and, in the BES scenario, the GHG emissions would attain 12.81% reduction by 2030. Finally, the BEP scenario shows the potential for a 19.81% GHG reduction. These results could be used to guide the planning and development of the new city.
Record ID
Keywords
building energy policy, building energy saving, CO2 emission, greenhouse gas (GHG), long-range energy alternatives planning system (LEAP), renewable energy supply target
Subject
Suggested Citation
Kim SH, Lee S, Han SY, Kim JH. Scenario Analysis for GHG Emission Reduction Potential of the Building Sector for New City in South Korea. (2023). LAPSE:2023.27136v1
Author Affiliations
Kim SH: Energy ICT Convergence Research Department, Korea Institute of Energy Research, 152, Gajeong-ro Yuseong-gu, Daejeon 34129, Korea
Lee S: Energy ICT Convergence Research Department, Korea Institute of Energy Research, 152, Gajeong-ro Yuseong-gu, Daejeon 34129, Korea
Han SY: Energy ICT Convergence Research Department, Korea Institute of Energy Research, 152, Gajeong-ro Yuseong-gu, Daejeon 34129, Korea
Kim JH: Energy ICT Convergence Research Department, Korea Institute of Energy Research, 152, Gajeong-ro Yuseong-gu, Daejeon 34129, Korea
Lee S: Energy ICT Convergence Research Department, Korea Institute of Energy Research, 152, Gajeong-ro Yuseong-gu, Daejeon 34129, Korea
Han SY: Energy ICT Convergence Research Department, Korea Institute of Energy Research, 152, Gajeong-ro Yuseong-gu, Daejeon 34129, Korea
Kim JH: Energy ICT Convergence Research Department, Korea Institute of Energy Research, 152, Gajeong-ro Yuseong-gu, Daejeon 34129, Korea
Journal Name
Energies
Volume
13
Issue
20
Article Number
E5514
Year
2020
Publication Date
2020-10-21
ISSN
1996-1073
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Original Submission
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PII: en13205514, Publication Type: Journal Article
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LAPSE:2023.27136v1
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https://doi.org/10.3390/en13205514
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