Carbon Footprint of Cotton Spinning Mills: An Analytical Framework for Energy Accounting, Emission Modelling, and Decarbonisation Strategy
綿紡績工場のカーボンフットプリント：エネルギー会計、排出モデリング、脱炭素戦略のための分析フレームワーク (AI 翻訳)
Sujai Balasubramaniam
🤖 gxceed AI 要約
日本語
本稿は綿紡績工場のカーボンフットプリントを定量化する理論的な分析フレームワークを提示する。工程別エネルギー消費モデル、ゆりかごから工場ゲートまでのLCA構造、再生可能エネルギー導入や設備更新による排出削減ポテンシャル評価の3つのモジュールから構成される。インドの系統排出係数を用いた試算では、紡績段階の排出原単位は糸1kgあたり0.8～2.3kg CO2eとなる。
English
This paper presents a theoretical analytical framework for quantifying carbon footprint of cotton spinning mills, consisting of three modules: process-level energy accounting, cradle-to-factory-gate LCA, and decarbonisation strategy evaluation. Using Indian grid emission factors, spinning-stage emission intensities range from 0.8 to 2.3 kg CO2e per kg yarn. On-site renewable energy offers the highest reduction potential.
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
インドのデータに基づくが、日本の繊維産業でも同様の方法論が応用可能。SSBJ対応やサプライチェーン排出量算定において、製造工程ごとのエネルギー使用と排出削減策を検討する際の参考となる。
In the global GX context
While focused on Indian textile mills, the analytical framework is transferable to other manufacturing contexts and contributes to global disclosure scholarship on Scope 2 emissions and decarbonisation strategies in energy-intensive industries.
👥 読者別の含意
🔬研究者:Provides a structured methodology for carbon footprint assessment in textile manufacturing that can be adapted to other sectors.
🏢実務担当者:Offers a framework to evaluate emission reduction measures such as renewable energy and machine upgrades in spinning mills.
🏛政策担当者:Illustrates how sector-specific energy accounting can inform decarbonisation policies for industrial clusters.
📄 Abstract（原文）
The carbon footprint of a cotton ring-spinning mill is governed by a set of interacting variables — specific energy consumption (SEC), the prevailing grid emission factor, yarn count, cotton fibre type, and spinning technology — whose combined effect determines the mill's annual Scope 2 greenhouse gas (GHG) emission and its cradle-to-factory-gate life-cycle carbon burden. This article presents a structured analytical framework for quantifying, attributing, and reducing this carbon footprint, developed entirely from published energy audit data and life-cycle assessment (LCA) literature. No original experimental measurements are reported herein; the framework is explicitly theoretical and analytical in character. Three interconnected analytical modules are presented: (i) a process-level energy accounting model disaggregating SEC across machine stages from blow-room preparation through cone winding, supported by ten governing equations in formal notation; (ii) a cradle-to-factory-gate LCA structure decomposing total CO₂e emissions across cotton cultivation, ginning, spinning, and packaging stages; and (iii) a decarbonisation strategy model quantifying the emission reduction potential of renewable energy integration, machine modernisation, motor efficiency upgrades, and process optimisation interventions. Within the parameter values modelled herein, ring-spinning SEC ranges from approximately 1.0 to 2.5 kWh per kilogram of yarn, translating — at Indian grid emission factors of 0.70 to 0.82 kg CO₂/kWh — to spinning-stage emission intensities of approximately 0.8 to 2.3 kg CO₂e per kilogram of yarn. The full cradle-to-factory-gate life-cycle burden spans approximately 2.0 to 5.0 kg CO₂e per kilogram of yarn within the scope of this conceptual analysis. On-site renewable energy deployment offers the highest single-intervention reduction potential within this framework. All conclusions are explicitly scoped to stated parameter values and require mill-specific calibration before operational application.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.20589210first seen 2026-06-23 05:48:29 · last seen 2026-06-23 05:49:01
🔔 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。