グリーン慣行を取り入れた熱帯ホテルの運用エネルギーコストモデルに関する批判的レビュー：ハイブリッドフレームワークと政策介入
A Critical Review of Operational Energy Cost Models for Tropical Hotels with Green Practices: Hybrid Frameworks and Policy Interventions (原題)
H. Young, E Setyowati, Agung Dwiyanto
🤖 gxceed AI 要約
日本語
熱帯ホテルのエネルギー消費は冷房・給湯・照明が主で、気候や稼働率に依存する。本レビューは236件から48件を抽出し、EnergyPlus等のシミュレーションと機械学習を組み合わせたハイブリッドモデルや再生可能エネルギーの技術経済評価を整理。気候応答設計と行動・政策シナリオを統合した枠組みを提案し、データ制約やCSR行動の定量化不足を指摘。将来は匿名データやフィールド実験の必要性を強調。
English
This critical review examines operational energy cost modeling for tropical hotels, where cooling, hot water, and lighting dominate energy use. Screening 236 records, 48 studies were analyzed, covering simulation tools (EnergyPlus, TRNSYS), machine learning, and techno-economic models for renewables. A hybrid framework integrating climate-responsive design, behavioral scenarios, and policy is proposed. Gaps include proprietary data limits and lack of staff behavior quantification. Future work should use anonymized datasets and field experiments.
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
日本のホテル業界は省エネ法やZEB基準への対応が進むが、熱帯地域特有の冷房負荷や行動要因を扱う本レビューは、海外展開する日本企業のエネルギー管理やGX投資判断に示唆を与える。
In the global GX context
Globally, the hospitality sector faces pressure to align with TCFD and CSRD disclosures. This review provides a framework for integrating energy modeling with policy scenarios, aiding hotels in setting science-based targets and reporting energy performance, especially in tropical regions where cooling loads are high.
👥 読者別の含意
🔬研究者:Provides a structured overview of hybrid energy modeling approaches and identifies research gaps in behavioral and data aspects for tropical hotels.
🏢実務担当者:Offers a framework for assessing energy cost reduction and renewable integration in hotel operations, useful for sustainability reporting and efficiency investments.
🏛政策担当者:Highlights the need for policy interventions that support data sharing and behavioral programs to enhance energy efficiency in the hospitality sector.
📄 Abstract（原文）
The main energy consumers in tropical hotels are cooling, hot water, and electric power for lighting, all of which depend on climatic conditions, occupancy, and management. However, many areas lack a clear definition of cost. This review aims to appraise the current state of operational energy cost modeling for hotels in the tropics and clarify its main contribution: an integrated, policy-responsive framework. We used a critical review approach to screen 236 records and identified 48 studies on hotel energy use, models, economic analysis, occupant behavior, and associated policies. We extracted data on climate context, model type (EnergyPlus, TRNSYS, Modelica, or machine learning), cost metrics, and behavioral elements. The article explains hybrid modeling: climate-specific baselines are established by simulations, hypothetical scenarios are tested by machine learning software, and techno-economic models assess the viability of renewable resources. Nevertheless, proprietary data restrictions limit empirical support, and few studies quantify staff behavior regarding CSR. A hypothetical framework for the relationship between climate-responsive design, hybrid simulation, economic modules, and behavior-policy scenarios for a tropical hotel is presented. Future research should incorporate anonymized datasets, field experiments that combine technical and behavioral interventions, and accessible repositories of surrogate models to improve operational energy-cost models for tropical hotels.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.13189/cea.2026.140442first seen 2026-09-08 04:43:25
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