Superstructure Optimization of CCUS Value Chain: Case Study on Sohar Freezone in Oman
CCUSバリューチェーンの超構造最適化：オマーン・ソハールフリーゾーンのケーススタディ (AI 翻訳)
S. Al-Salmani, M. Qyyum
🤖 gxceed AI 要約
日本語
本論文は、オマーンのソハール港フリーゾーンを対象に、CCUSバリューチェーンの超構造最適化フレームワークを開発。MILPモデルにより、CO2回収技術、輸送手段（パイプライン、トラック、船舶）、利用・貯蔵オプションを同時最適化し、年間7～14MtのCO2削減（30～70%削減）を50～85USD/tCO2のコストで達成可能と示した。感度分析では、港湾ハブと船舶輸送の組み合わせがコストを23～31%削減することを確認。
English
This paper develops a superstructure optimization framework for designing an integrated CCUS value chain, applied to Sohar Port and Freezone in Oman. Using a mixed-integer linear programming (MILP) model, it simultaneously selects capture technologies, transport modes (pipeline, truck, shipping), and CO2 utilization or storage options. The results show that 7-14 MtCO2 annual net reduction (30-70% cluster decarbonization) can be achieved at 50-85 USD/tCO2 levelized cost. Sensitivity analysis reveals that port-based CO2 hubs with short-haul shipping reduce costs by 23-31% compared to single-mode configurations.
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
日本ではCCUSの実装が進みつつあるが、本論文の超構造最適化アプローチは、港湾・産業クラスターの統合的脱炭素計画に応用可能。特に、複数の輸送モードを考慮したコスト最適化は、日本のコンビナートや臨海部のCCUS戦略に示唆を与える。
In the global GX context
This paper provides a decision-support tool for CCUS value chain design that integrates techno-economic, spatial, and policy dimensions. While applied to Oman, the methodology is transferable to other industrial clusters globally, especially those near ports. The MILP framework with GIS-based route generation offers a replicable approach for optimizing CCUS infrastructure under regional policy constraints.
👥 読者別の含意
🔬研究者:A novel MILP framework for CCUS superstructure optimization that integrates capture, transport, and storage with GIS-based routing, offering a replicable methodology for industrial clusters.
🏢実務担当者:Practical insights into cost-effective CCUS deployment for industrial clusters, including the benefits of port-based CO2 hubs and multimodal transport.
🏛政策担当者:Evidence for policy design: shows that integrated CCUS value chain optimization can achieve 30-70% decarbonization at 50-85 USD/tCO2, with port hubs reducing costs by over 20%.
📄 Abstract（原文）
Sohar Port and Freezone is well-positioned to drive Oman`s economic future through continued expansion, increased reliance on sustainable energy, and the integration of advanced digital tools. Sohar contributes 25% of the current GHG emissions in Oman. Decarbonizing Sohar industrial clusters is a strategic challenge for emerging economies striving to attain net-zero objectives. This research develops a superstructure optimization framework for designing an integrated Carbon Capture, Utilization and Storage (CCUS) value chain, specifically applied to the Sohar Port and Freezone in Oman. A mixed-integer linear programming (MILP) formulation that simultaneously selects capture technologies, identifies optimal transport modes (pipeline, trucking, and shipping), and allocates CO2 flows among utilization and geological storage alternatives. The novelty of this work lies in the multi-scale integration of techno-economic, spatial, and policy dimensions, coupled with GIS-based route generation into the optimization model. Currently, the total CO2 emission from Sohar Freezone is around 20.3 MtCO2/yr, after applying the CCUS value chain optimization, 7 – 14 MtCO2 annual net reduction could be achieved, corresponding to 30-70% cluster-level decarbonization at 50 – 85 USD/tCO2 levelized cost of CO2 capture, transport, and storage. Sensitivity analysis reveals that port-based CO2 hubs, combined with short-haul shipping to offshore storage, reduce the system cost by 23–31% compared to single-mode configurations. The framework offers decision–support tools for policymakers and industrial stakeholders, integrating techno-economic optimization with regional carbon control policies. The Sohar case study demonstrates the capabilities of computational superstructure design to expedite CCUS implementation in the industrial clusters in the Gulf region.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.69997/sct.173782first seen 2026-06-22 05:14:37
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