Case

Optimizing Fuel Efficiency and Environmental Impact in Offshore Shipping

DOF partnered with the Terravera Foundation to model the emissions impact of fleet operations and identify strategic opportunities for decarbonization. The assessment utilized digital twins and scenario analysis to quantify the effects of variables like engine setup, transit speed, and biofouling on fuel efficiency and CO2 emissions. These models empower DOF to make science-based decisions, such as optimal vessel selection for specific projects, which can significantly reduce Scope 1 emissions while advancing their long-term goal of achieving net-zero by 2050.

With modelling from Terravera DOF explored how biofouling and its impact on fuel consumption and emissions be quantified and minimized to improve efficiency in offshore operations.

Challenge

DOF lacked precise data and tools to assess and manage the impact of biofouling on vessel performance, particularly in terms of fuel consumption and associated emissions. The variability in biofouling growth across different vessel conditions and the challenge of connecting these factors to operational outcomes presented significant obstacles.

How We Collaborated

  • Digital Twin Implementation: Developed a comprehensive digital twin for DOF's fleet, integrating data on fuel consumption, biofouling rates, and chemical usage across vessel lifecycles.

  • Value Chain Mapping: Analyzed the entire lifecycle, from steel extraction for hull production to vessel maintenance and eventual decommissioning, with specific focus on potential environmental indicators like carbon emissions, biodiversity impact, and labor safety.

  • Growth Rate Analysis: Measured biofouling growth across different vessels under static conditions, providing targeted solutions for cleaning schedules and fuel efficiency improvements. For example, vessels like Skandi Vega and Skandi Hera demonstrated significant growth rates, necessitating customized strategies.

The value chain map highlights key environmental indicators, providing a roadmap for sustainable operations.

Results and Insights

  • Fuel Efficiency: Identified optimal fuel strategies, leading to reduced CO₂ emissions and operational costs.

  • Maintenance Optimization: Tailored biofouling prevention strategies based on vessel-specific data, significantly improving efficiency.

  • Reduced Chemical Usage: Streamlined cleaning processes to minimize environmental harm while maintaining operational standards.

Through data-driven collaboration, DOF is now equipped with actionable insights to enhance sustainability, reduce costs, and maintain compliance with environmental standards. This case underscores the potential of digital solutions in revolutionizing the maritime industry's approach to sustainability.

 

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