실제 에너지 사용량 기반 공공 어린이집의 그린리모델링 효과 분석을 위한 데이터셋 구축 및 분석

Abstract

Energy efficiency improvement in the building sector has gained considerable attention as a policy to achieve carbon neutrality. Green Remodeling (GR) projects targeting public buildings are actively being undertaken to enhance building energy performance. However, most GR impact assessments rely heavily on simulation-based approaches, with empirical analyses using energy consumption data remaining limited. This study investigated GR projects at public daycare centers completed in 2020. A dataset was compiled by integrating pre- and post-GR energy consumption data and their associated technological measures. Core GR interventions, including insulation reinforcement, window replacement, and heating and cooling system upgrades, were identified from energy performance reports. Energy consumption data from 2019 and 2022 were analyzed to measure the effectivity of GR by comparing pre- and post-retrofit energy consumption data. Additionally, a change-point model was applied to the dataset, incorporating weather data to estimate heating and cooling sensitivities (slopes) and base loads (intercepts). The dataset structure was organized according to energy impact categories outlined in IEA EBC Annex 53: Climatic conditions, building envelope, energy systems, occupant profiles, operational patterns, and indoor air quality. By integrating energy consumption data with the technical details of GR measures, this study presents a robust empirical dataset. This dataset can provide support for future research on individual GR intervention effectiveness and increasing evaluation model accuracy.