Development of Prediction Model for SOx Removal in Small Marine Scrubber

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K15224
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 24020:Marine engineering-related
• Research Institution: National Institute of Maritime, Port and Aviation Technology
• Principal Investigator: Ma Xiao 国立研究開発法人海上・港湾・航空技術研究所, その他部局等, 研究員 (10825920)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: 排ガス処理 / SOx / 湿式スクラバ / 混相流 / 相変化

Outline of Final Research Achievements

One effective technique for the efficient removal of sulfur oxides (SOx) from ship exhaust gases is the use of a jet scrubber. This device works by injecting cleaning water droplets at high velocity in the same direction as the exhaust gas, effectively removing SOx. Despite the acknowledged high efficiency of this method, accurately predicting the amount of SOx removal has remained a challenge. In this research, we have developed an analytical model capable of quantitatively predicting SOx removal by jet scrubbers. This model takes into account various factors, including evaporation, that occur within the scrubber. In addition, we have obtained detailed information on the size distribution of scrubbing water droplets injected into the scrubber through direct visualization and measurement.

Free Research Field

船舶海洋工学

Academic Significance and Societal Importance of the Research Achievements

本研究は船舶由来の排ガス中に含まれるSOxを主対象とし、スクラバによる除去効率を定量的に解析できるようになった。任意のガス種の物性を組み込むことで、当該解析モデルはスクラバによるガス処理効果・効率を提供できる。今後船舶由来の排ガスに対してさらなる規制強化が予測されている中で、代替燃料の開発や、新しい主機の開発について、ガス処理の視点から環境対策技術の開発に資する重要な役割を果たしており、学術的・社会的意義を有している。