WEBINAR / EVENT
Maritime Decarbonization: Simulating the Maritime Industry’s Transition to Net-Zero Emissions
Join us on April 20th for a one-hour webinar with Mathias Hintze, Analyst and Frederik Lehn, Model Developer at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping to learn how they are supporting maritime decarbonization by modelling likely transition scenarios towards net-zero emissions for the industry.
April 20, 2023
WEBINAR / EVENT
Maritime Decarbonization: Simulating the Maritime Industry’s Transition to Net-Zero Emissions
Join us on April 20th for a one-hour webinar with Mathias Hintze, Analyst and Frederik Lehn, Model Developer at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping to learn how they are supporting maritime decarbonization by modelling likely transition scenarios towards net-zero emissions for the industry.
April 20, 2023
WEBINAR / EVENT
Maritime Decarbonization: Simulating the Maritime Industry’s Transition to Net-Zero Emissions
Join us on April 20th for a one-hour webinar with Mathias Hintze, Analyst and Frederik Lehn, Model Developer at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping to learn how they are supporting maritime decarbonization by modelling likely transition scenarios towards net-zero emissions for the industry.
April 20, 2023
Watch On-Demand
In this webinar, Mathias Hintze, Analyst and Frederik Lehn, Model Developer at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping explain how they are supporting maritime decarbonization by modelling likely transition scenarios towards net-zero emissions for the industry. Shipping is a hard-to-abate sector and consequently requires new types of fuel and technology to decarbonize. These fuels and technologies have different cost and availability outlooks. Further, the sector is impacted by policy decisions and market dynamics. To combine insights across the value chain, the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping has developed a simulation model, NavigaTE. NavigaTE is designed to simulate the transition of the maritime industry. This is done by modeling the decision processes of the different actors along the maritime value chain. A core part of NavigaTE is the fuel selection algorithm which is solved at every time-step using Gurobi’s Linear Programming (LP) Solver.
Topics covered:
What decarbonization in shipping could look like
How the maritime industry can leverage modelling and data-driven decisions in its transition to net-zero emissions
How NavigaTE is designed and used to simulate decisions across a diverse group of stakeholders
How an LP solver is used in an unconventional way as part of a larger simulation algorithm
Why Gurobi is necessary in their work
Watch On-Demand
In this webinar, Mathias Hintze, Analyst and Frederik Lehn, Model Developer at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping explain how they are supporting maritime decarbonization by modelling likely transition scenarios towards net-zero emissions for the industry. Shipping is a hard-to-abate sector and consequently requires new types of fuel and technology to decarbonize. These fuels and technologies have different cost and availability outlooks. Further, the sector is impacted by policy decisions and market dynamics. To combine insights across the value chain, the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping has developed a simulation model, NavigaTE. NavigaTE is designed to simulate the transition of the maritime industry. This is done by modeling the decision processes of the different actors along the maritime value chain. A core part of NavigaTE is the fuel selection algorithm which is solved at every time-step using Gurobi’s Linear Programming (LP) Solver.
Topics covered:
What decarbonization in shipping could look like
How the maritime industry can leverage modelling and data-driven decisions in its transition to net-zero emissions
How NavigaTE is designed and used to simulate decisions across a diverse group of stakeholders
How an LP solver is used in an unconventional way as part of a larger simulation algorithm
Why Gurobi is necessary in their work
Watch On-Demand
In this webinar, Mathias Hintze, Analyst and Frederik Lehn, Model Developer at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping explain how they are supporting maritime decarbonization by modelling likely transition scenarios towards net-zero emissions for the industry. Shipping is a hard-to-abate sector and consequently requires new types of fuel and technology to decarbonize. These fuels and technologies have different cost and availability outlooks. Further, the sector is impacted by policy decisions and market dynamics. To combine insights across the value chain, the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping has developed a simulation model, NavigaTE. NavigaTE is designed to simulate the transition of the maritime industry. This is done by modeling the decision processes of the different actors along the maritime value chain. A core part of NavigaTE is the fuel selection algorithm which is solved at every time-step using Gurobi’s Linear Programming (LP) Solver.
Topics covered:
What decarbonization in shipping could look like
How the maritime industry can leverage modelling and data-driven decisions in its transition to net-zero emissions
How NavigaTE is designed and used to simulate decisions across a diverse group of stakeholders
How an LP solver is used in an unconventional way as part of a larger simulation algorithm
Why Gurobi is necessary in their work
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Mathias Hintze
Analyst, Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping
Mathias Hintze works as an Analyst at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping, where he has been working with enabling sustainable shipping via decarbonization through modelling and analytics. Mathias has been working at the Center for three years with this focus. Prior to joining the Center, he worked for A.P. Møller Holding and Boston Consulting Group (BCG). His educational background is a M.Sc. in Engineering with a focus on mathematical modelling and optimization from Technical University of Denmark (DTU). In his thesis, he worked with primary school timetabling in Denmark using mixed integer programming (MIP).
Frederik Lehn
Model Developer, Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping
Frederik Lehn works as a Model Developer at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping, where he is leading the development of the python-based simulator, NavigaTE. Frederik started his career as an Engineer working with large scale fluid dynamics simulations and subsequently as a Product Owner of a software product used for uncertainty modelling and optimization. Frederik holds a B.Sc. in Applied Mathematics and an M.Sc. in Petroleum Engineering from the Technical University of Denmark (DTU) where he has focused on solving partial differential equations, uncertainty modelling and non-linear optimization.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Mathias Hintze
Analyst, Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping
Mathias Hintze works as an Analyst at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping, where he has been working with enabling sustainable shipping via decarbonization through modelling and analytics. Mathias has been working at the Center for three years with this focus. Prior to joining the Center, he worked for A.P. Møller Holding and Boston Consulting Group (BCG). His educational background is a M.Sc. in Engineering with a focus on mathematical modelling and optimization from Technical University of Denmark (DTU). In his thesis, he worked with primary school timetabling in Denmark using mixed integer programming (MIP).
Frederik Lehn
Model Developer, Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping
Frederik Lehn works as a Model Developer at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping, where he is leading the development of the python-based simulator, NavigaTE. Frederik started his career as an Engineer working with large scale fluid dynamics simulations and subsequently as a Product Owner of a software product used for uncertainty modelling and optimization. Frederik holds a B.Sc. in Applied Mathematics and an M.Sc. in Petroleum Engineering from the Technical University of Denmark (DTU) where he has focused on solving partial differential equations, uncertainty modelling and non-linear optimization.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Analyst, Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping
Mathias Hintze
Mathias Hintze works as an Analyst at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping, where he has been working with enabling sustainable shipping via decarbonization through modelling and analytics. Mathias has been working at the Center for three years with this focus. Prior to joining the Center, he worked for A.P. Møller Holding and Boston Consulting Group (BCG). His educational background is a M.Sc. in Engineering with a focus on mathematical modelling and optimization from Technical University of Denmark (DTU). In his thesis, he worked with primary school timetabling in Denmark using mixed integer programming (MIP).
Model Developer, Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping
Frederik Lehn
Frederik Lehn works as a Model Developer at the Mærsk Mc-Kinney Møller Center for Zero Carbon Shipping, where he is leading the development of the python-based simulator, NavigaTE. Frederik started his career as an Engineer working with large scale fluid dynamics simulations and subsequently as a Product Owner of a software product used for uncertainty modelling and optimization. Frederik holds a B.Sc. in Applied Mathematics and an M.Sc. in Petroleum Engineering from the Technical University of Denmark (DTU) where he has focused on solving partial differential equations, uncertainty modelling and non-linear optimization.
