Pareto-Optimal Pathways for Refinery Decarbonization: Retrofit of Small Modular Nuclear Reactors
製油所脱炭素化のパレート最適経路：小型モジュール原子炉のレトロフィット (AI 翻訳)
Aditya S Khatu, Sampriti Chattopadhyay, Ana I Torres
🤖 gxceed AI 要約
日本語
製油所の脱炭素化に向け、小型モジュール原子炉（SMR）を熱電併給に導入するレトロフィットの経済性と環境性を評価する最適化フレームワークを提案。多期間混合整数二次制約計画問題を定式化し、コストとCO2排出のパレート最適解を導出。中規模製油所のケーススタディで、SMR導入が低コストで排出削減に寄与し、高圧蒸気供給に有効であることを示した。柔軟運用と蓄熱によりさらにコスト削減が可能。
English
This study develops a superstructure optimization framework to evaluate retrofitting refineries with small modular nuclear reactors (SMRs) for cogeneration. A multi-period mixed-integer quadratically constrained program generates a Pareto frontier of cost and CO2 emissions. Case studies show SMRs reduce costs at lower or comparable emissions, primarily for high-pressure steam, with flexible operation and thermal storage further cutting costs.
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
日本の製油所はエネルギー供給構造高度化法やGX推進法の下で脱炭素化が急務。本研究成果はSMR導入の経済的合理性を示し、国内の石油精製業界がカーボンニュートラル戦略を検討する際の定量的根拠となる。
In the global GX context
Globally, refineries face pressure to decarbonize under frameworks like the Paris Agreement and emerging disclosure standards. This study provides a quantitative method for evaluating SMR retrofits, contributing to the transition finance and climate strategy literature by demonstrating cost-effective pathways for hard-to-abate industrial sectors.
👥 読者別の含意
🔬研究者:Provides a novel optimization framework for evaluating SMR retrofits in refineries, useful for energy systems modeling and decarbonization pathway research.
🏢実務担当者:Offers a decision-support tool for refinery operators to assess SMR-based cogeneration investments, balancing cost and emissions.
🏛政策担当者:Highlights the potential of SMRs as a cost-effective decarbonization option for industrial clusters, informing energy policy and subsidy design.
📄 Abstract（原文）
Refineries are major sources of direct CO2 emissions, primarily from steam generation, fluid catalytic cracking, and hydrogen production. This study develops a superstructure optimization framework to evaluate the economic and environmental viability of retrofitting existing refineries with small modular nuclear reactors (SMRs) for cogeneration of heat and electricity. A multi-period mixed-integer quadratically constrained program is formulated, simultaneously minimizing the present cost of retrofitting and CO2 emissions over the time horizon. This problem is solved to generate a Pareto frontier via the e-constraint method. Two cases are analyzed for a medium-scale refinery, considering 1) inflexible operation under average annual electricity prices and 2) flexible operation under hourly prices with the possibility of installation of storage devices. Compared to a benchmark without SMRs in the superstructure, allowing their installation leads to reduced costs at lower or comparable emission levels. The results show that SMRs are primarily used for high-pressure steam generation. Flexible operation and the inclusion of thermal energy storage further reduce costs. Overall, SMRs appear in multiple non-dominated solutions, highlighting their potential as a cost-effective refinery decarbonization strategy.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.69997/sct.186922first seen 2026-06-20 06:43:41 · last seen 2026-07-03 06:15:01
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