アジアにおける持続可能なバイオマスエネルギー潜在量：リモートセンシングを用いた評価とエネルギー不足緩和・炭素排出削減への示唆
Sustainable biomass energy potential in Asia: assessment using remote sensing and implications for energy shortage alleviation and carbon emission reduction (原題)
Zhaosheng Wang, Yong Li
🤖 gxceed AI 要約
日本語
本研究はMODISのNPPデータとAHP・クラスタリング分析を用いてアジアのバイオマスエネルギー理論潜在量を評価した。結果、理論潜在量は327.68 EJ（約4年分の消費量）で、森林が49.3%を占め、中国・インド・インドネシアで高い。利用シナリオでは、エネルギー不足国を最大27.7%減らし、50%代替で33-44%のCO2削減が可能と示唆。
English
This study assesses theoretical biomass energy potential in Asia using MODIS NPP data, AHP, and clustering. It finds 327.68 EJ (about four years of consumption), with forests contributing 49.3%, highest in China, India, and Indonesia. Scenarios suggest reducing energy-shortage countries by up to 27.7% and achieving 33-44% CO2 reductions with 50% substitution.
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
日本はバイオマス発電のFIT導入が進むが、持続可能性や輸入依存が課題。本研究成果はアジア域内のバイオマス資源賦存量の把握に寄与し、日本の調達戦略や国際協力の検討に示唆を与える。
In the global GX context
This continental-scale assessment provides a benchmark for biomass potential in Asia, relevant to global renewable energy targets and SDGs 7 and 13. It offers a methodological framework applicable to other regions and informs policy on bioenergy deployment and carbon neutrality.
👥 読者別の含意
🔬研究者:Provides a comprehensive methodology for assessing biomass potential using remote sensing and multi-criteria analysis, applicable to other regions.
🏢実務担当者:Useful for energy companies and utilities in Asia to identify high-potential areas for biomass sourcing and investment.
🏛政策担当者:Informs national and regional energy planning and carbon reduction strategies by quantifying biomass resource availability.
📄 Abstract（原文）
Biomass energy represents a cornerstone of sustainable renewable resources, critical for energy security and low-carbon transitions. As the global leader in energy consumption, Asia faces pressing challenges of energy shortage and carbon emission reduction, evaluating biomass energy potential (BEP) is vital for addressing shortages and advancing sustainability. This study employs MODIS-derived Net Primary Productivity (NPP) data to assess theoretical biomass energy reserves across the continent, integrating Analytic Hierarchy Process (AHP) and clustering analysis to evaluate the degree of energy shortage in Asian countries. Results reveal that 8.5% of countries face severe shortages, 19.1% moderate, and 27.7% mild, with Asia holding 327.68 ± 11.11 EJ (equivalent to 111.95 ± 3.79 billion tons of standard coal) in theoretical reserves —approximately four years of regional consumption. Forests contribute 49.3%, with highest potentials in China, India, and Indonesia. Illustrative utilization scenarios suggest potential to reduce the proportion of shortage-affected countries by up to 27.7% and achieve 33%–44% CO 2 reductions via 50% substitution under assumed conditions. This continental-scale original assessment, drawing on recent technological advances in remote sensing and multi-criteria decision analysis, underscores biomass’s theoretical role in Asia’s energy landscape, offering insights for policy frameworks supporting carbon neutrality and global Sustainable Development Goals (SDGs 7 and 13), while acknowledging practical constraints such as land competition and low biomass collection efficiency.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.ecmx.2026.102252first seen 2026-09-04 05:08:13
🔔 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。