Carbon Footprint Assessment and GHG Reduction Guidelines for the Rubberwood Processing Industry in Yala Province
ヤラー県におけるゴム木材加工産業のカーボンフットプリント評価とGHG削減ガイドライン (AI 翻訳)
J. Kaewmanee, Adulsman Sukkaew
🤖 gxceed AI 要約
日本語
タイ・ヤラー県のゴム木材加工工場を対象に、ISO 14067に準拠したゆりかごからゲートまでのカーボンフットプリントを評価。総GHG排出原単位は40.83 kgCO2-eq/m³で、原材料と加工残渣が約90%を占める。在庫管理最適化やバイオマス燃料転換、AI活用による効率改善など、複数の削減経路を提示。単一工場の事例だが、タイのNDCやカーボンニュートラル目標、CBAMなど政策枠組みへの適合を示す。
English
This study assesses the cradle-to-gate carbon footprint of a rubberwood processing factory in Yala, Thailand, following ISO 14067. The total GHG emission intensity is 40.83 kgCO2-eq/m³, with raw materials and residues accounting for ~90%. Mitigation pathways include inventory optimization (15-30% reduction), biomass fuel substitution (50-85%), and AI-assisted efficiency improvements (5-15%). The case study aligns with Thai national policies and CBAM, providing empirical baseline data for the sector.
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
本論文はタイの事例だが、日本企業が東南アジアから調達する木材製品のスコープ3排出量算定に活用可能。TGOカーボンラベルやCBAMへの対応は、日本企業のサプライチェーンGHG管理においても示唆に富む。
In the global GX context
This paper offers empirical carbon footprint data for a tropical timber processing industry, relevant to global supply chain decarbonization and CBAM compliance. The methodological framework (ISO 14067) and mitigation pathways are transferable to other wood-processing sectors worldwide.
👥 読者別の含意
🔬研究者:Provides a replicable LCA methodology for carbon footprint assessment in the rubberwood industry and identifies key emission hotspots.
🏢実務担当者:Offers concrete GHG reduction strategies (e.g., inventory management, biomass fuel, AI optimization) with estimated reduction potentials for wood processing facilities.
🏛政策担当者:Demonstrates alignment of industry-level mitigation with national NDCs and carbon neutrality targets, supporting policy design for the forestry sector.
📄 Abstract（原文）
This study presents a Cradle-to-Gate carbon footprint assessment (CFP) of a representative rubberwood (Hevea brasiliensis) processing factory in Yala Province, Thailand, conducted in accordance with the Life Cycle Inventory (LCI) framework and ISO 14067:2018. The functional unit was defined as one cubic meter (1 m³) of processed rubberwood leaving the factory gate. The total greenhouse gas (GHG) emission intensity was calculated as 40.83 kgCO₂-eq/m³, with raw materials and processing residues identified as the dominant emission sources, accounting for approximately 90% of total emissions. Electricity (2.33 kgCO₂-eq/m³) and diesel fuel (0.11 kgCO₂-eq/m³) constituted secondary contributors, while consumables and auxiliary materials contributed negligibly. The findings should be interpreted as a single-factory case study rather than an industry-wide representative baseline. Potential mitigation pathways, drawn from analogous studies, include optimized inventory management (15–30% reduction potential), biomass fuel substitution (50–85%), operational efficiency improvements through preventive maintenance and AI-assisted optimization (5–15%), and waste valorization through biochar conversion. These hotspots align with Thai national policy frameworks, including the Nationally Determined Contribution (NDC), Carbon Neutrality (2050), Net Zero (2065), the TGO Carbon Label Program, the EU Carbon Border Adjustment Mechanism (CBAM), the Bio-Circular-Green (BCG) economic model, and the energy policies under the Power Development Plan (PDP) and the Department of Alternative Energy Development and Efficiency (DEDE). The study provides empirical baseline data for the rubberwood processing sector and serves as a methodological reference for future, larger-scale assessments.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.55164/ajstr.v29i7.263215first seen 2026-06-19 05:37:16
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