DOF
Case
Optimizing Fuel Efficiency and Environmental Impact in Offshore Shipping
How can 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.
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.