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Residual-based district scale vulnerability screening and GHG reduction prioritization for building stock
Bon Seo1, Sangho Choi1, ByungYun Lee1
1School of Architecture, Soongsil University, Seoul, 06978, Republic of Korea.
This study identifies high-energy-use districts in Seoul, prioritizing them for decarbonization efforts. Targeting these areas for energy use intensity reduction offers significant greenhouse gas mitigation potential.
Area of Science:
- Urban planning
- Environmental science
- Building energy efficiency
Background:
- Buildings significantly contribute to urban greenhouse gas emissions.
- District-level variations in building energy inefficiency are crucial for effective decarbonization planning.
- High-density cities require tailored strategies due to diverse building stocks and urban forms.
Purpose of the Study:
- To analyze district-level energy consumption data in Seoul.
- To identify factors influencing energy use intensity (EUI) across different districts.
- To prioritize interventions for building stock decarbonization.
Main Methods:
- Analysis of electricity and gas consumption data for 25 Seoul districts.
- K-means clustering to group districts by EUI.
- Regression modeling to identify key EUI drivers.
- Residual-based assessment and spatial analysis (Moran's I) to pinpoint priority districts.
Main Results:
- Summer and winter peaks strongly correlated with electricity and gas EUI, respectively.
- Seven 'dual-high' districts identified as priorities for intervention.
- Spatial analysis confirmed clustered patterns of high energy use.
- A 10% EUI reduction in priority districts could cut GHG emissions by 577 ktCO2.
Conclusions:
- The study provides a framework for identifying districts with high energy use.
- Differentiated, district-level decarbonization strategies are essential for high-density cities.
- Prioritizing 'dual-high' districts offers substantial greenhouse gas reduction potential.
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