← 論文一覧に戻る

双炭目標下における再生可能エネルギー供給チェーンの相乗的最適化

Synergistic Optimization of Renewable Energy Supply Chains under the Dual Carbon Goals (原題)

Jiachang Yuan

Zenodoプレプリント2026-08-24#エネルギー転換Origin: CN経営インパクト: コスト削減対象セクター: renewable_energy
DOI: 10.5281/zenodo.22078536
原典: https://zenodo.org/records/22078536
📄 PDF

🤖 gxceed AI 要約

日本語

中国のダブルカーボン目標下で、風力・太陽光企業のサプライチェーン最適化を検討。LONGiの事例で、ブロックチェーンによる炭素データ基盤、多目的最適化、動的炭素税、共有倉庫等の3層フレームワークを提案し、コスト15.3%削減、炭素排出39.6%削減、復旧時間58.3%短縮を実証。

English

Under China's Dual Carbon Goals, this study proposes a three-tier collaborative optimization framework for renewable energy supply chains, integrating blockchain-based carbon data pools, multi-objective optimization, dynamic carbon taxation, and shared warehousing. A LONGi case study shows 15.3% cost reduction, 39.6% lifecycle carbon emission cut, and 58.3% faster disruption recovery.

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

中国の政策文脈だが、日本の再エネ企業やサプライチェーン排出量算定（Scope3）にも示唆。ブロックチェーンによる炭素トレーサビリティや共有倉庫の協調は、日本のGX実践でも応用可能。

In the global GX context

While China-specific, the framework offers transferable insights for global renewable supply chains, particularly on carbon traceability and resilience. It aligns with ISSB/CSRD disclosure needs for Scope 3 and supply chain decarbonization.

👥 読者別の含意

🔬研究者:Provides a tri-objective optimization model and synergy blockage theory for renewable supply chains under carbon constraints.

🏢実務担当者:Offers a practical framework for cost and carbon reduction in renewable supply chains, including blockchain-based traceability.

🏛政策担当者:Highlights policy-geography-technology synergies and the role of carbon pricing and green funds in enabling supply chain decarbonization.

📄 Abstract（原文）

Under China's strategic commitment to peak carbon emissions by 2030 and achieve carbon neutrality by 2060 (the "Dual Carbon Goals"), renewable energy enterprises face unprecedented pressure to simultaneously expand capacity, reduce costs, enhance supply chain resilience, and minimize carbon footprints. This study systematically investigates supply chain synergy optimization for wind and solar power enterprises within the Dual Carbon policy framework. Employing a multi-method approach integrating literature review, system analysis, and a case study of LONGi Green Energy, this research identifies three core synergy barriers: geographic fragmentation and policy decoupling, carbon traceability credibility crises, and inherent conflicts among efficiency, decarbonization, and resilience objectives. A three-tier collaborative optimization framework is proposed, comprising: (1) an information synergy layer based on blockchain-enabled carbon data pools; (2) an operational synergy engine integrating multi-objective optimization models with dynamic carbon taxation and shared warehousing; and (3) a carbon synergy mechanism incorporating tiered supplier incentives and green transition funds. Empirical validation through the LONGi case demonstrates significant improvements: total supply chain costs reduced by 15.3%, lifecycle carbon emissions per watt decreased by 39.6%, and disruption recovery time shortened by 58.3%. This research contributes a "policy-geography-technology" three-dimensional synergy blockage theory, a tri-objective dynamic equilibrium model, and a responsibility-sharing carbon governance framework, offering both theoretical advancements and practical pathways for sustainable energy supply chain management. Keywords: Dual Carbon Goals, Renewable Energy, Supply Chain Synergy, Carbon Traceability, Supply Chain Resilience, Blockchain, Multi-Objective Optimization, Green Supply Chain.

🔗 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。