ABB, Deltamarin, and VTT Simulate and Optimize Ship Energy Flows
- System-level ship energy optimization enabled
- Cost- and fuel-saving design improvements identified
- Testing costs reduced by tens of thousands of euros
“Simulink and Simscape enabled us to create a dynamic model of a complex energy system that spans several physical domains. By simulating this model, we can see how a new energy subsystem will perform before it is built, and provide customers with an accurate estimate of their return on investment.”Juha Orivuori, ABB
Rising fuel costs and tightening International Maritime Organization (IMO) regulations have sparked demand for more powerful ship energy systems that use less fuel.
To help meet this demand, ABB, Deltamarin, and VTT Technical Research Centre of Finland partnered to build a ship energy flow simulator using MATLAB®, Simulink®, and Simscape™. The simulator enables engineers to test, evaluate, and implement novel technologies with fewer prototypes, as well as to design and retrofit optimized energy systems based on customer requirements and ship operating profiles.
“It is practically impossible to prototype a major energy subsystem for today’s vessels—it takes too long and is too expensive,” says Juha Orivuori, lead development engineer at ABB. “Simulink and Simscape enable us to simulate each individual subsystem as part of a complete ship energy system so that we know how it will work before we implement it.”
Increasing a ship’s cargo capacity can reduce unit operating costs, but larger ships require more complex power plants with more sophisticated mechanical, electrical, hydraulic, and thermohydraulic subsystems. Because the behavior of these subsystems is interdependent, improving the performance of one subsystem may actually reduce overall efficiency. As a result, selecting and dimensioning propulsion, main power systems, all the auxiliaries, and cooling and heating for new and existing ships is a challenging optimization problem.
In the past, engineers used spreadsheets to calculate ranges for component sizes, but they found several drawbacks with this approach. The spreadsheets were not always reusable across projects, and colleagues found them difficult to review and understand. The approach was impractical for analyzing the system at various ship speeds and drafts or under wind, sea state, and other operating conditions. Spreadsheets were not suitable for dynamic analysis, and they could not be compared with data measured at sea or used to develop control systems.
To understand and identify interactions between different subsystems, Deltamarin, ABB, and VTT needed to model the complete ship energy flow with mechanical, electrical, hydraulic, thermal, pneumatic, and thermohydraulic components. They then needed to simulate this multidomain physical model to perform system-level optimizations.
A small team of engineers from ABB, Deltamarin, and VTT built the ship energy flow simulator using Simulink and Simscape. Working in Simulink, the team created a top-level model incorporating the main engine, diesel generator, electric alternating current (AC), propeller, cooling water, and steam subsystems.
The team developed component models based on first principles using Simscape blocks from the mechanical, electrical, thermal, pneumatic, and hydraulic domains. They used measurements taken from actual ship systems to set parameter values in the models and validate simulation results.
“One advantage of creating the models based on first principles is that the models are easy to understand,” says Guangrong Zou, research scientist at VTT. “We can clearly see how well a Simscape model is working even if we do not have measurements to fully validate it.”
Using the Simscape language, they defined three custom physical domains—thermalfluid, steam, and electrical AC—and built libraries of new Simscape components based on those domain definitions, including a new thermalfluid library with more than 50 components.
The team developed MATLAB scripts to automate model configuration and simulation runs. They also used MATLAB to generate plots and postprocess simulation results.
To meet the needs of ship designers who use spreadsheets to perform energy balance equations, the team built an interface to the simulator that enables designers to provide simulation inputs and review simulation outputs in Microsoft® Excel®.
The group has modeled and performed energy flow simulations for cruise ships, container ships, and other ship types, and ABB is using the simulator with its onboard Energy Monitoring and Management (EMMA™) system to understand the efficiency of existing vessels.
System-level ship energy optimization enabled. “While basic machinery can be modeled in spreadsheets, we could not achieve all our goals in Excel,” says Mia Elg, development manager at Deltamarin. “Simulink and Simscape enable us to run multidomain simulations and energy balance calculations with dynamic operating profiles and to perform energy optimization for today’s ships and future ships.”
Cost- and fuel-saving design improvements identified. “Simulink simulations showed that the main water cooling pump was not optimally dimensioned or controlled, and that design changes to this pump alone could reduce a ship’s annual fuel consumption by 2.5%,” says Elg. Zou adds, “This is only the beginning of the savings in the machinery auxiliary systems: Simulations showed that control optimizations for a three-way valve resulted in up to 45% more heat energy recovered.”
Testing costs reduced by tens of thousands of euros. “When we are testing a new system on a vessel, the daily costs can be significant,” says Orivuori. “With Simulink and Simscape we find and fix problems via simulation—in a virtual lab at no extra cost—that would be very expensive to resolve aboard a vessel.”
ABB: Juha Orivuori, lead development engineer, and Kalevi Tervo, lead development engineer
Deltamarin: Mia Elg, development manager, and Su Len Quach, energy and environmental efficiency, concept development
VTT: Kari Tammi, research professor and research manager; Aki Kinnunen, senior scientist; and Guangrong Zou, research scientist
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