Design and Optimization of the Turkish Green Supergrid: Multi-Commodity Network Planning from Altai to the Danube
トルコ・グリーンスーパーグリッドの設計と最適化：アルタイからドナウまでのマルチコモディティネットワーク計画 (AI 翻訳)
M. Ökten
🤖 gxceed AI 要約
日本語
本研究は、アルタイ山脈からドナウ川に至るトルコ・グリーンスーパーグリッドの技術経済的実現可能性を評価した。MILPモデルを用いて6ノードのエネルギー網を最適化し、フルグリーン・移行期・現状維持の3シナリオでシミュレーション。年間設備投資は約6.8億ユーロで安定し、欧州向け水素需要を満たすためエディルネに8503MWの電解槽が必要と判明した。
English
This study assesses the techno-economic feasibility of the Turkish Green Supergrid from the Altai to the Danube using a multi-commodity optimization model. A 6-node network is modeled with MILP under three scenarios: Fully Green, Transition, and Business As Usual. Results show stable annualized CAPEX of €0.68 billion, requiring 8503 MW electrolyzer capacity at Edirne to meet European hydrogen demand. Repurposing natural gas pipelines like TANAP is critical.
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
日本には直接関係しないが、水素・再生可能エネルギー導入による国際エネルギー回廊構想の事例として参考になる。特に、既存ガスパイプラインの水素転用や複数国間の協力枠組は、アジア地域でのGX連携に示唆を与える。
In the global GX context
This paper provides a novel modeling framework for multi-commodity energy networks integrating hydrogen, renewables, and natural gas across borders. It demonstrates the strategic value of repurposing gas pipelines for hydrogen and the role of supergrids in Europe's decarbonization, offering lessons for regional energy corridors globally.
👥 読者別の含意
🔬研究者:Provides a mixed-integer linear programming model for optimizing combined electricity, hydrogen, and natural gas flows in a large-scale cross-border energy system.
🏢実務担当者:Offers insights on infrastructure investment needs (e.g., electrolyzer capacity, pipeline repurposing) for building a green supergrid connecting Central Asia to Europe.
🏛政策担当者:Highlights the strategic importance of international energy corridors for energy security and green transition, with concrete cost estimates and scenario analysis.
📄 Abstract（原文）
This study investigates the techno-economic feasibility of the Turkish Green Supergrid, which extends from the Altai Mountains to the Danube and encompasses the members of the Organization of Turkic States (OTS). The main objective of the study is to demonstrate, using a multi-vector optimization model, how Central Asia's high renewable energy potential and existing natural gas infrastructure can be integrated with Europe's decarbonization goals (Green Deal). In the study, a 6-node energy network stretching from Nur-Sultan to Edirne was modeled using the Mixed-Integer Linear Programming (MILP) method. The model was run under three different scenarios—Fully Green (S0), Transition Process (S1), and Business As Usual (S2)—to minimize annual costs. The simulations simultaneously optimize electricity (HVDC), hydrogen, and natural gas flows. Simulation results revealed that the annualized capital expenditures (CAPEX) for the backbone infrastructure remained consistent across scenarios, stabilizing at approximately 0.68 billion €/year . It was determined that 8503 MW of electrolyzer capacity needed to be installed at the Edirne (Thrace) node to meet European export demand. The conversion (repurposing) of existing natural gas pipelines (TANAP, etc.) to carry hydrogen and the strengthening of the Trans-Caspian crossing have been identified as the most critical components of the project. The Turkish Green Supergrid is not just an energy transmission project, but a strategic necessity for regional energy security and green transformation. The findings prove that this infrastructure is a No-Regret investment and creates a resilient energy corridor for Europe and OTS countries against geopolitical uncertainties.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.64808/engineeringperspective.1839385first seen 2026-05-15 20:12:46
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