トルコの4つ星ホテルにおけるカーボンフットプリントの定量的評価(2022年~2024年)
Quantitative Assessment of the Carbon Footprint of a Four-Star Hotel in Türkiye over the Period 2022–2024 (原題)
Ahmet Alic, İsmail Ekmekçi
🤖 gxceed AI 要約
日本語
イスタンブールの4つ星ホテルを対象に、ISO 14064-1とGHGプロトコルに基づき2022年から2024年のカーボンフットプリントを定量評価。総排出量は1444.93 tCO2eから1592.61 tCO2eに増加し、電力が約47.1%を占める。機械室やエレベーターのベースロード需要、R-404A冷媒漏洩、赤身肉調達や有機廃棄物のScope 3排出が主要因。感度分析で系統炭素強度への高い弾力性を確認し、改善策を提示。
English
This study quantifies the carbon footprint of a four-star hotel in Istanbul from 2022 to 2024 using ISO 14064-1 and GHG Protocol. Total emissions rose from 1444.93 to 1592.61 tCO2e, with electricity accounting for 47.1% in 2024. Key hotspots include baseload energy from mechanical rooms and lifts, R-404A refrigerant leakage, and Scope 3 from red meat and organic waste. Sensitivity analysis shows high elasticity to grid carbon intensity, leading to actionable recommendations.
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SSBJ開示が始まり、ホスピタリティ業界でもScope 1・2・3算定が求められる。本論文のホテル特有の排出ホットスポット(冷媒、食品調達、ベースロード電力)は、日本の観光・宿泊業の脱炭素戦略に示唆を与える。
In the global GX context
Globally, this paper contributes to hospitality sector decarbonization, aligning with TCFD/ISSB disclosure expectations. It provides a replicable methodology for hotels to identify operational hotspots and prioritize actions, relevant for tourism-dependent economies and supply chain reporting.
👥 読者別の含意
🔬研究者:Provides a detailed case study of hotel carbon accounting with sensitivity analysis, useful for benchmarking and methodology refinement.
🏢実務担当者:Offers actionable recommendations for hotel engineers and operators to reduce emissions, including refrigerant management and supply chain changes.
🏛政策担当者:Highlights grid-level barriers and the need for policies supporting renewable energy and refrigerant phase-down in the hospitality sector.
📄 Abstract(原文)
This study provides a comprehensive quantitative assessment of the carbon footprint of a four-star hotel in Istanbul, Türkiye, spanning the period from 2022 to 2024, to identify critical operational emission drivers. Methodologically grounded in ISO 14064-1 and the Greenhouse Gas Protocol, the research integrates direct (Scope 1), indirect energy (Scope 2), and selected value-chain (Scope 3) emissions. The operational data underwent rigorous uncertainty and sensitivity analyses, alongside multi-tier benchmarking against global, climatic, and regional datasets. Findings reveal that total emissions increased from 1444.93 tCO2e in 2022 to 1592.61 tCO2e in 2024, predominantly driven by grid-connected electricity, which accounted for approximately 47.1% of the total footprint in 2024. Key operational hotspots include the continuous baseload energy demands of mechanical rooms and lifts, fugitive R-404A refrigerant leakage, and Scope 3 impacts from red meat procurement and organic waste. Furthermore, sensitivity analyses confirmed the footprint’s high elasticity to the national grid’s carbon intensity. Despite the facility outperforming benchmarked peers in overall eco-efficiency, the study concludes with actionable, stratified recommendations for facility engineers, hotel operators, and tourism policymakers to overcome technical, supply-chain, and grid-level barriers to decarbonization.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18178612first seen 2026-08-26 04:45:41
- semanticscholar https://doi.org/10.3390/su18178612first seen 2026-08-30 05:02:48 · last seen 2026-09-22 04:54:03
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