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繊維製造プロセスにおける多エネルギー需要の脱炭素化変革モデル

Decarbonization Transformation Model of Multi-Energy Demand for Textile Manufacturing Processes (原題)

Sogut MZ, Kilikevičius A

Research Squareプレプリント2026-08-24#エネルギー転換経営インパクト: コスト削減対象セクター: textile
DOI: 10.21203/rs.3.rs-10397338/v1
原典: https://doi.org/10.21203/rs.3.rs-10397338/v1

🤖 gxceed AI 要約

日本語

本研究は、繊維企業の複数熱需要を最適化し、コジェネレーションの効率を約17%改善することで、化石燃料消費を累積約76%削減できることを示した。平均総合効率約59%のコジェネプロセスを対象に、熱管理モデルを開発し、環境持続可能性への提言を行った。

English

This study optimizes multiple heat demands in a textile enterprise, showing that improving cogeneration efficiency by about 17% can reduce fossil fuel consumption by approximately 76%. A holistic thermal management model was developed to enhance operational performance and support environmental sustainability.

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

日本の製造業、特に繊維産業ではエネルギーコスト削減とGHG排出削減が課題であり、本モデルは工場の熱管理最適化に応用可能。SSBJ開示や省エネ法対応にも貢献し得る。

In the global GX context

Globally, this contributes to industrial decarbonization by demonstrating efficiency gains in cogeneration, relevant for energy-intensive sectors facing pressure to reduce Scope 1 and 2 emissions under frameworks like TCFD and ISSB.

👥 読者別の含意

🔬研究者:Provides a quantitative model for optimizing multi-energy demand in industrial processes, useful for energy systems research.

🏢実務担当者:Offers a practical approach to improve cogeneration efficiency and reduce fuel costs in textile manufacturing.

🏛政策担当者:Highlights potential for energy efficiency improvements in industrial sectors, informing policy on industrial decarbonization.

📄 Abstract（原文）

<title>Abstract</title> <p>The responsibility of efficient management in multi-energy production of industrial processes using multiple energy should develop measures to ensure economic and environmental sustainability. For processes that manage multiple heat needs, such as textiles, resource efficiency can be seen as a direct optimization problem. Especially in fossil fuel-based consumption of businesses, management strategies can be evaluated together with a carbon purification perspective. This study aimed to improve the multiple energy use optimization developed under the responsibility of energy management in a textile enterprise and to reduce its environmental impact. In this context, multiple consumption data were taken as a basis and the cogeneration outputs supported by the process were investigated as well as their environmental impacts. In the study, it was seen that the need for operational heat loads in the enterprise was optimized with multiple heat management and the efficiency model could be improved. In the analyzes, it was seen that the average overall efficiency potential of the cogeneration process, which is approximately 59%, can lead to a cumulative reduction of approximately 76% in fossil fuel consumption as a result of approximately 17% improvement with low thermal processes with optimization. At the end of the study, a holistic thermal management model was developed to improve the operational performance of cogeneration processes, and recommendations targeting environmental sustainability were also presented.</p>

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