gxceed
← 論文一覧に戻る

Research on optimal configuration of regional hydrogen energy supply chain based on renewable Energy

再生可能エネルギーに基づく地域水素エネルギーサプライチェーンの最適構成に関する研究 (AI 翻訳)

Yufan Li, Liting Zhang, Lifei Song

Journal of Physics Conference Series📚 査読済 / ジャーナル2026-06-01#水素Origin: CN経営インパクト: コスト削減対象セクター: energy
DOI: 10.1088/1742-6596/3255/1/012018
原典: https://doi.org/10.1088/1742-6596/3255/1/012018

🤖 gxceed AI 要約

日本語

本論文は、再生可能エネルギーをベースとした地域水素サプライチェーンの最適化モデルを開発し、上海臨港新区を対象に実証分析を行った。動的計画モデルにより、貯蔵容量8.3％、輸送車両11.1％、水素コスト4.2％の削減を達成。CO2排出コストの低減がサプライチェーン全体のコストを30.3％削減することを示した。

English

This study develops an optimization model for a renewable energy-based regional hydrogen supply chain, applied to Shanghai Lingang New Area. A dynamic MILP model reduces hydrogen storage by 8.3%, transportation fleet by 11.1%, and terminal hydrogen cost by 4.2%. Reducing CO2 emission cost from 2 to 0.15 CNY/kg lowers total supply chain cost by 30.3%.

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

中国の上海臨港新区を事例とした水素サプライチェーン最適化モデル。日本でも地域水素サプライチェーン設計に応用可能。炭素価格が水素コストに与える影響を示唆。

In the global GX context

This paper models a regional hydrogen supply chain with carbon pricing, relevant for global hydrogen strategy. The dynamic MILP approach reduces costs compared to static models, which is useful for policymakers and industry planning hydrogen infrastructure.

👥 読者別の含意

🔬研究者:Provides a MILP optimization framework for hydrogen supply chain with real-time scheduling and carbon pricing sensitivity analysis.

🏢実務担当者:Can be used by energy companies developing regional hydrogen hubs to optimize storage and transportation under carbon pricing.

🏛政策担当者:Demonstrates how CO2 emission cost reductions (from green hydrogen subsidies) significantly lower total supply chain cost, reinforcing the importance of carbon pricing policies.

📄 Abstract（原文）

Abstract In the context of global energy transition and China’s dual carbon goals, hydrogen is emerging as a key clean energy carrier with significant potential for decarbonizing energy systems. This study develops an optimization model for a renewable energy-based regional hydrogen supply chain, applied to Shanghai Lingang New Area. A mixed-integer linear programming (MILP) approach with real-time scheduling is employed to address uncertainties associated with renewable energy output and carbon pricing mechanisms. The proposed network consists of 7 nodes and 21 links, with the objective of minimizing the levelized cost of hydrogen (LCOH). Compared to a static scheduling model, the dynamic model achieves reductions of 8.3% in hydrogen storage capacity, 11.1% in transportation fleet size, and 4.2% in terminal hydrogen cost. Furthermore, when the CO2 emission cost is reduced from 2 CNY/kg to 0.15 CNY/kg—reflecting current green hydrogen policy incentives—the total supply chain cost drops by 30.3%, from 44.28 CNY/kg to 30.84 CNY/kg. These findings underscore the critical role of carbon pricing in enhancing the economic viability of green hydrogen.

🔗 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。