Green Hydrogen Systems for Sustainable Industry, Mobility, and National Energy Strategy
持続可能な産業、モビリティ、国家エネルギー戦略のためのグリーン水素システム (AI 翻訳)
Murali Krishna Pasupuleti
🤖 gxceed AI 要約
日本語
本論文は、グリーン水素システムを社会技術インフラとして捉え、研究・モデリング・ガバナンス・導入の統合的フレームワークを提示する。統計モデリング、機械学習、デジタルツイン、政策ガバナンス等を横断し、透明性と再現性を重視する。多地域への適用可能性を持ち、研究者・実務家・政策立案者を対象とする。
English
This paper develops an integrated framework for studying, modeling, governing, and deploying green hydrogen systems as socio-technical infrastructure. It covers statistical modeling, machine learning, digital twins, and policy governance, emphasizing transparency and reproducibility. Applicable across multiple regions, it targets researchers, practitioners, and policymakers.
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
日本は国家水素戦略を掲げており、本フレームワークは水素サプライチェーン設計や規格調整、投資判断に活用可能。SSBJやGX政策との連動が期待される。
In the global GX context
Globally, green hydrogen is central to industrial decarbonization and energy security. This framework supports rigorous system design and policy coordination, relevant to ISSB-aligned reporting and transition finance.
👥 読者別の含意
🔬研究者:Provides a multi-year inquiry program structure for hydrogen systems research.
🏢実務担当者:Offers decision frameworks for designing deployable hydrogen systems.
🏛政策担当者:Guides standards, procurement, investment, and public accountability coordination.
📄 Abstract（原文）
Abstract: Green hydrogen has emerged as a strategic vector for deep decarbonization, industrial transformation, mobility transition, and national energy security, yet its value depends on rigorous system design rather than symbolic adoption. This manuscript develops an integrated academic framework for studying, modeling, governing, and deploying green hydrogen systems across diverse regional contexts. It advances from foundational definitions, uncertainty reasoning, and research design to statistical modeling, causal inference, machine learning, big data engineering, reproducibility, digital twins, sectoral applications, and policy governance. The book treats hydrogen as a socio-technical infrastructure connecting renewable electricity, water stewardship, electrochemical conversion, storage, logistics, certification, industrial demand, public finance, and institutional trust. It emphasizes transparent assumptions, functional-unit discipline, causal identification, trustworthy prediction, reproducible analytics, and governance artifacts. By linking methodological rigor with practical decision frameworks, the manuscript supports researchers developing multi-year inquiry programs, practitioners designing deployable systems, and policymakers coordinating standards, procurement, investment, and public accountability. The work is globally applicable, with analytical relevance for South Asia, Europe, Africa, and the Americas, and is intended for adaptation into academic courses, research handbooks, strategic roadmaps, and policy laboratories. Keywords green hydrogen, electrolysis, renewable energy, energy transition, industrial decarbonization, mobility corridors, national energy strategy, techno-economic analysis, causal inference, machine learning, MLOps, digital twins, certification, water stewardship, energy security, climate action, hydrogen storage, governance, policy analytics, reproducibility, risk management, hydrogen infrastructure
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.62311/nesx/rb-978-81-686373-4-4first seen 2026-06-11 05:03:18
🔔 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。