Electrifying Textile Steam Generation: Technologies, Feasibility, and Decarbonisation Pathways for Bangladesh
繊維産業の蒸気生成電化:技術、実現可能性、バングラデシュの脱炭素経路 (AI 翻訳)
Kazy Mohammad Iqbal Hossain
🤖 gxceed AI 要約
日本語
バングラデシュの繊維・アパレル産業の温室効果ガス排出の約81%を占める蒸気ボイラーの電化を評価。高温度ヒートポンプ(HTHP)はLCOHが12〜30USD/GJと最も低く、現状のグリッドでも排出削減効果がある一方、電気ボイラーはグリッド脱炭素後に有効。2050年までにプロセス熱のGHG強度を90%以上削減可能な段階的ロードマップを提示。
English
This review evaluates six electrification pathways for steam generation in Bangladesh's textile sector, which accounts for 81% of its GHG emissions. High-temperature heat pumps (HTHPs) offer the lowest levelised cost of heat (USD 12–30/GJ) and already reduce emissions under current grid conditions, while electric boilers become viable as the grid decarbonizes. A phased roadmap combining HTHPs, heat recovery, and storage could eliminate over 90% of process-heat GHG intensity by 2050.
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
日本でも繊維産業の脱炭素が課題となる中、本論文が示すグリッド炭素強度ブレークイーブン分析の手法は、電化投資のタイミング判断に応用可能。バングラデシュ特有の事情ではあるが、産業電化におけるグリッド連携の重要性を示す好事例。
In the global GX context
This paper provides a rigorous techno-economic framework for industrial electrification in a developing-country context, emphasizing the critical interaction between grid carbon intensity and technology choice. It offers a replicable methodology for assessing electrification roadmaps globally, particularly relevant for supply chain decarbonization initiatives (e.g., buyer-driven incentives).
👥 読者別の含意
🔬研究者:Techno-economic comparison of electrification technologies with grid carbon intensity threshold for industrial steam generation.
🏢実務担当者:Textile manufacturers can use the LCOH and roadmap to plan investments in heat pumps and electric boilers.
🏛政策担当者:Bangladesh policymakers should address grid reliability and carbon pricing; global buyers can leverage green financing to accelerate adoption.
📄 Abstract(原文)
Industrial steam generation is the single largest source of fossil fuel consumption in the textile industry and a major contributor to its greenhouse gas (GHG) footprint. In Bangladesh, whose textile and ready-made garment (RMG) sector supplies more than 84% of national export revenue, the two sub-sectors together emitted approximately 6,044 Gg CO₂e in 2022, of which natural gas combustion in steam boilers accounted for about 81%. Converting fossil-fired steam generation to electrified alternatives is therefore one of the highest-leverage decarbonisation options available to the sector. This review synthesises evidence from peer-reviewed studies, techno-economic modelling, and institutional reports to evaluate the technical performance, economic feasibility, CO₂ abatement potential, and implementation barriers of six electrification pathways: electric resistance boilers, electrode boilers, high-temperature heat pumps (HTHPs), mechanical vapour recompression (MVR), solar heat for industrial processes (SHIP), and green hydrogen boilers, together with electro-thermal energy storage (ETES) as an enabling technology. HTHPs offer the lowest levelised cost of heat (LCOH), at roughly USD 12–30/GJ under current grid conditions with a coefficient of performance (COP) of 2.5–5.0, while electric boilers (95–99% efficiency) provide a technologically mature, drop-in option that is penalised by high electricity-to-gas price ratios. A distinctive feature of the analysis is a grid-carbon-intensity break-even framing, which shows why heat pumps, but not electric boilers, already cut emissions against Bangladesh's present grid (around 550–650 gCO₂/kWh). A phased, grid-aligned roadmap combining near-term HTHP deployment, waste-heat recovery, and thermal storage, followed by full electric-boiler and hydrogen deployment as the grid decarbonises, could eliminate more than 90% of process-heat GHG intensity by 2050. Financial access gaps, grid-reliability constraints, and the absence of carbon pricing are identified as binding barriers, for which targeted green financing, buyer-driven incentives, and efficiency mandates are proposed as enabling conditions.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.20944/preprints202607.1992.v1first seen 2026-07-29 06:27:03
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