건물 용도 조정을 통한 도시 에너지 사용량 패턴 평탄화 가능성 검토
Exploring the Potential of Urban Energy Usage Pattern Flattening through Building Usage Adjustment
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Energy consumption in urban areas is rapidly increasing, and the variability of time-of-use energy demand is growing due to differing energy usage patterns among building types. This results in surges in peak-time electricity demand, threatening the stability of power grids. Therefore, flattening urban energy consumption is essential to enhance energy efficiency and reduce the strain on power grids. This study proposes a method to minimize the variability in time-of-use energy consumption by adjusting the proportions of building uses, focusing on Seohyeon-dong in Bundang-gu, Seongnam, South Korea. To achieve this, we analyzed the energy consumption patterns of various building types and applied the Harmony Search optimization algorithm to adjust the energy usage ratios for each building type, ultimately deriving optimal flattening results. The study results demonstrated a reduction in peak loads, with electricity consumption becoming more evenly distributed throughout the day. These results confirmed significant improvements in grid stability and overall energy efficiency in the region. Future research will aim to apply this optimization algorithm to a broader range of cities and building types to validate its effectiveness. Additionally, the study will explore strategies to maximize practical energy savings, contributing to long-term sustainability goals, including reducing greenhouse gas emissions and promoting the integration of renewable energy.
Abstract
Energy consumption in urban areas is rapidly increasing, and the variability of time-of-use energy demand is growing due to differing energy usage patterns among building types. This results in surges in peak-time electricity demand, threatening the stability of power grids. Therefore, flattening urban energy consumption is essential to enhance energy efficiency and reduce the strain on power grids. This study proposes a method to minimize the variability in time-of-use energy consumption by adjusting the proportions of building uses, focusing on Seohyeon-dong in Bundang-gu, Seongnam, South Korea. To achieve this, we analyzed the energy consumption patterns of various building types and applied the Harmony Search optimization algorithm to adjust the energy usage ratios for each building type, ultimately deriving optimal flattening results. The study results demonstrated a reduction in peak loads, with electricity consumption becoming more evenly distributed throughout the day. These results confirmed significant improvements in grid stability and overall energy efficiency in the region. Future research will aim to apply this optimization algorithm to a broader range of cities and building types to validate its effectiveness. Additionally, the study will explore strategies to maximize practical energy savings, contributing to long-term sustainability goals, including reducing greenhouse gas emissions and promoting the integration of renewable energy.
