Short- and long-term ecological consequences of methodological discrepancies in building energy efficiency calculations
建物エネルギー効率計算における方法論の不一致の短期的・長期的生態学的影響 (AI 翻訳)
Volodymyr Chupa, Iryna Vashchyshak, Serhii Maksymiuk, Kyrylo Novytskyi
🤖 gxceed AI 要約
日本語
本論文は、建物エネルギー消費計算における準定常法と時間動的アプローチの方法論的不一致が、年間エネルギー需要やCO2排出量推定に及ぼす影響を定量評価した。不一致の主因として時間モデルの選択、気候データ形式、熱慣性の記述、内部発熱の解釈を特定し、誤差範囲を明確化した。「不一致ゾーン」概念を提案し、簡略化手法の適用可否を判断する閾値Tを導入した。また、個別建物の乖離を建物ストックレベルに集約する方法論を提示し、規制要件策定や炭素フットプリント削減に貢献する。
English
This paper quantifies the ecological consequences of methodological discrepancies between quasi-stationary and hourly dynamic building energy consumption calculations, showing differences in annual energy demand and CO2 emissions of tens of percent and hundreds of kilograms. It identifies key sources: time model, climate data format, thermal inertia, and internal heat gains. Proposes a 'zone of discrepancy' concept with a threshold T for using simplified methods, and a deterministic aggregation methodology for building stock-level assessment, enhancing regulatory precision and carbon footprint reduction.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、ZEH基準や省エネルギー法に基づく建築物のエネルギー消費性能向上が進む中、計算方法の違いが補助金効果やCO2削減目標の評価に影響する可能性がある。本論文の方法論的一貫性の重要性を示す知見は、日本の建築エネルギー基準の策定や改訂に示唆を与える。
In the global GX context
Globally, building energy performance regulations (e.g., EPBD in EU, ASHRAE in US) rely on calculation methods with varying accuracy. This paper provides empirical evidence of the magnitude of discrepancies between simplified and detailed methods, offering a framework for harmonization and improved carbon accounting, which is critical for meeting national decarbonization targets under TCFD/ISSB-aligned disclosures.
👥 読者別の含意
🔬研究者:Provides a quantitative framework to assess methodological discrepancies in building energy calculations and their impact on carbon emission estimates.
🏢実務担当者:The 'zone of discrepancy' concept helps decide when simplified methods are acceptable for energy audits and retrofit planning.
🏛政策担当者:Highlights the need for standardized calculation methods to ensure reliable energy savings and carbon reduction targets.
📄 Abstract（原文）
In the context of global decarbonisation, the accuracy of assessing building energy efficiency has become a critical factor for predicting environmental impacts and achieving vital climate goals. Existing discrepancies between national and international calculation methodologies have created significant risks during the planning of large-scale thermal modernisation strategies. This article aims aimed to quantitatively assess the ecological consequences of methodological discrepancies between quasi-stationary and hourly dynamic approaches to calculating building energy consumption. A comprehensive approach was developed, including hierarchical modelling and a detailed methodology for converting energy consumption into carbon emission mass with a thorough assessment. It was established that the key sources of methodological discrepancy are the choice of the time model, the format of presenting climatic data, the description of thermal inertia, and the algorithm for interpreting internal heat gains. Research proved that the difference in annual energy demand when changing calculation methods reaches several tens of percent. This was equivalent to deviations in carbon dioxide emission mass in the range of hundreds of kilograms. To address this, the concept of a “zone of discrepancy” was proposed, introducing a threshold T to determine the feasibility of using simplified methodologies depending on the required accuracy. A methodology for aggregating individual deviations to the building stock level, based on a deterministic comparison of representative scenarios, is justified. These mathematical dependencies for quantitative assessment increase environmental monitoring reliability, allowing specialists to develop precise regulatory requirements and reduce the construction sector’s carbon footprint
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.63341/esbur/1.2026.79first seen 2026-07-30 05:13:57
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。