gxceed
← 論文一覧に戻る

Green Hydrogen Supply Chain Design Towards Social Sustainability: A Case Study in Brazil

社会的持続可能性に向けたグリーン水素サプライチェーン設計:ブラジルにおけるケーススタディ (AI 翻訳)

L. Santana, F. Pessoa, Ana Barbosa-Póvoa

Systems and Control Transactions2026-06-19#水素経営インパクト: 調達リスク対象セクター: energy
DOI: 10.69997/sct.198240
原典: https://doi.org/10.69997/sct.198240

🤖 gxceed AI 要約

日本語

本研究は、グリーン水素サプライチェーン(GHSC)の設計において、経済的側面と社会的持続可能性を同時に考慮する数理計画モデルを提案する。太陽光発電、風力発電、PPAをエネルギー源とし、パイプラインとトラック輸送を比較。ブラジル・バイーア州の事例分析から、経済性と社会指標のトレードオフを明らかにし、政策立案者や企業にバランスの取れた戦略を提供する。

English

This study develops a mathematical programming model for green hydrogen supply chain design that integrates economic and social sustainability. Considering solar, wind, and PPA as energy sources, and comparing pipeline versus truck transport, it applies the model to a case study in Bahia, Brazil. Results reveal trade-offs between economic costs and social indicators, offering insights for balanced 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

ブラジルの事例だが、グリーン水素の社会的持続可能性評価の枠組みは日本の水素サプライチェーン設計にも示唆を与える。特に、経済性と地域社会発展のバランスは日本の地域分散型エネルギー政策にも関連する。

In the global GX context

This paper addresses the underexplored social dimension of green hydrogen supply chains, offering a modeling framework applicable globally. For hydrogen-importing countries like Japan, understanding trade-offs between cost and social impacts in producing regions is critical for responsible sourcing.

👥 読者別の含意

🔬研究者:Provides a mathematical model integrating social indicators into GHSC design, useful for extending to other regions and indicators.

🏢実務担当者:Companies involved in hydrogen projects can use the trade-off analysis to inform site selection and community engagement strategies.

🏛政策担当者:Highlights the need to incorporate social sustainability criteria into hydrogen subsidy and certification schemes.

📄 Abstract(原文)

When designing and planning Green Hydrogen Supply Chains (GHSCs), sustainability considerations are increasingly recognized as essential, particularly in light of decarbonization goals and climate policy targets. Existing research has largely focused on economic and environmental however, social sustainability aspects remain significantly underexplored. This work aims to develop a mathematical programming model to design a GHSC, considering simultaneously economic and social aspects. Solar PV, wind power, and PPA (wind) as energy sources are integrated, while transportation options include the construction of new pipelines, compared to the use of existing highways for trucks carrying liquefied or compressed hydrogen to deliver hydrogen to an oil refinery. The model is applied to a case study conducted in the Brazilian state of Bahia, where different social indicators will be explored, characterizing the case study context while allowing generalization to other contexts. Results allow us to establish a trade-off analysis between economic and social concerns, offering valuable insights for both policymakers and companies, supporting strategies that strike a balance between economic competitiveness and regional social development.

🔗 Provenance — このレコードを発見したソース

🔔 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。