残渣から資源へ：AI駆動の洞察による廃バイオマスの熱化学変換によるエネルギーと燃料の生産
From Residue to Resource: Thermochemical Conversion of Waste Biomass to Energy and Fuels with Artificial Intelligence Driven Insights (原題)
Chitra Singh, Lovepreet Kaur, Ravi P. Singh
🤖 gxceed AI 要約
日本語
本稿は、廃棄物系バイオマスの熱化学変換（燃焼、ガス化、熱分解など）の包括的な概要を提供し、低炭素エネルギーシステムへの貢献を論じる。AIやプロセスモデリングが変換効率の最適化やサプライチェーン管理に果たす役割を強調し、統合バイオリファイナリーやネガティブエミッション戦略の将来展望を示す。
English
This chapter provides a comprehensive overview of thermochemical conversion of waste biomass into energy and fuels, highlighting its role in low-carbon transitions. It emphasizes the growing use of AI and process modeling to optimize efficiency and manage supply chains, and discusses future integrated biorefineries and negative-emissions strategies.
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
日本では、バイオマス発電のFIT/FIP制度やカーボンニュートラル目標に関連し、廃棄物系バイオマスの有効活用は重要。本稿は技術概要を提供し、日本のバイオマス利用拡大やSSBJ開示における再生可能エネルギー調達の文脈で参考になる。
In the global GX context
Globally, this aligns with the push for renewable energy and negative emissions technologies. It offers a broad technical overview that can inform corporate strategies for biomass utilization and contribute to discussions on sustainable energy transitions under frameworks like the Paris Agreement.
👥 読者別の含意
🔬研究者:バイオマス熱化学変換の全体像とAI適用の可能性を把握するためのレビューとして有用。
🏢実務担当者:廃棄物バイオマスをエネルギー源として検討する際の技術的選択肢の理解に役立つ。
🏛政策担当者:バイオマスエネルギー政策の技術的基盤を理解するための参考資料。
📄 Abstract（原文）
Biomass thermochemical conversion represents a versatile and robust pathway for transforming diverse organic residues into heat, power, fuels, and renewable carbon products, supporting global transitions toward low-carbon and resource-efficient energy systems. With the global technical potential of biomass projected to reach nearly 160 EJ by 2050, thermochemical routes offer distinct advantages over biochemical processes due to their ability to process heterogeneous, non-edible, and waste-derived feedstocks. This chapter provides a comprehensive overview of biomass thermochemical conversion, encompassing feedstock classification, key physicochemical properties governing reactor performance, and major conversion pathways including combustion, gasification, pyrolysis, carbonization, and liquefaction. Particular emphasis is placed on pyrolysis as the foundational step underlying most thermochemical processes and on advanced gasification and combined heat and power systems for flexible energy utilization. The chapter further highlights the growing role of process modeling, computational tools, and artificial intelligence in optimizing conversion efficiency, managing biomass supply chains, and enabling intelligent, data-driven operation. Emerging challenges related to feedstock heterogeneity, process complexity, product upgrading, and scale-up are critically discussed alongside future opportunities for integrated biorefineries and negative-emissions strategies. Overall, the chapter aims to support the rational design and deployment of next-generation thermochemical systems for sustainable bioenergy and renewable carbon solutions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5772/intechopen.1017182first seen 2026-09-08 04:36:43
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