Monitoring and optimising waste heat recovery for diesel ... · Monitoring and optimising waste heat recovery for diesel-electric vessel propulsion ... • Ship Diesel Engines with

Unrestricted © Siemens AG 2017 Realize innovation.

Monitoring and optimising waste heat recovery for

diesel-electric vessel propulsionEric Link – LMS Imagine.Lab Amesim

Unrestricted © Siemens AG 2017

18.10.2017Page 2 Siemens PLM Software

Table of content

1. Industry Challenges

2. WHR Potential

3. WHR Decission Support Application

4. Summary



Table of content


2. WHR Potential


4. Summary




Technology agendas

• How to do trade-off between various power drive architectures ?

• How to optimize the efficiency of internal combustion engines ?

• How to save time and cost in sub-systems specification and design ?

• How to rapidly assess the performance of fluid, electric and

mechanical systems?

20% CO2 reduction by 2020

50% CO2 reduction by 2050

Environmental laws Slow Steaming Emission Regulations High Efficiency



Table of content


2. WHR Potential


4. Summary



2. WHR Potential

Oil Cooler

3.8 %

4.820 kW TC Oil Cooler

0.9 %

1.216 kW

Radiation &

Convection

0.6 %

776 kW

Shaft Power

48 %

59.360 kW

Fuel (LHV)

100 %

123.281 kW

Scavenge Air Cooler

16 %

19.800 kW

Jacket Water Cooler

6.7 %

8.240 kWExhaust Gas

24 %

30.457 kW



2. WHR Potential

Scavenge Air Cooler

16 %

19.800 kW

Jacket Water Cooler

6.7 %

8.240 kW

Exhaust Gas

24 %

30.457 kW

46,7 %

58.497 kW

Theoretical Usable

Energy



2. WHR Potential

• Ship Diesel Engines with hybrid

diesel-electric propulsion

• Waste Heat Recovery (WHR) can

increase efficiency up to 13 %

• WHR-Systems use the thermal

energy of the exhaust gas

• To maximize efficiency a combined

system of exhaust gas turbine and

Rankine Cycle is used



2. WHR Potential



2. WHR Potential

1 Main Engine 12 Power-Turbine

2 TC-Turbine 13 HP Steam Turbine

3 TC-Compressor 14 LP Steam Turbine

4 Feed water pre-heater 15 Generator

5Sea water heat

exchanger16 LP Service Steam

6Exhaust gas heat

exchanger17 HP Service Steam

7 HP Superheater 18 Vacuum Condenser

8 HP Evaporator 19 Deaerator Tank

9 LP Evaporator 20Condensate pre

heater

10 HP Steam Drum 21Shaft-Generator-

Motor

11 LP Steam Drum 22 Propeller

LP Steam

HP Steam

Air

Exhaust gas

Water

Shaft



Table of content


2. WHR Potential


4. Summary




• Siemens EcoMain is a communication platform for

ships

• Data Backbone for several applications

• WHR-Application monitors the running system on

board

• Comparison of actual state and ideal state

• Discover malfunctions by the help of exergy analysis




Project tasks

Waste Heat Recovery

–

Decission Support

Application

Working thermodynamical model of WHR

Ensure accuracy for a wide operational range

Integrate exergy analysis in simulation model

Connect WHR-model to live measurement data on board

Feed simulation results back to monitoring system on board




LMS Imagine.Lab Amesim

• Simulation platform for mechatronic system simulation

• Physical modeling approach

• Dedicated libraries and components

• Extensive analysis tools

• Easy-to-use solver technology




Authoring

Platform

Thermal Mechanical Electrical

Physical

Libraries Fluids

Oil, Cooling

circuits

Air Condition

Fuel System

…

IC Engine,

Exhaust

Aftertreatment

Powertrain,

Gearbox

…

Actuation

systems:

Electric,

Mechanic

Pneumatic

Hydraulic

Energy

Systems:

Fuel Cell

Power

Electronic

Battery…

Vehicle

Energy

Management

Thermal

Management

…

Vehicle

Dynamics

Controls

Braking

Steering,

Anti-roll …

Application

Solutions

Unrivalled Numerical Core

Model Creation, Analysis & Optimization

Library Extension

Collaboration & IP Protection

Productivity & Interfaces

Imagine.Lab

Amesim




LP Steam

HP Steam

Air

Exhaust gas

Water

Shaft

Main

Engine

Control

Mechanical

Thermo

Electrical

Fluids



LMS Amesim Demo




Thermodynamical model

Physical modeling of WHR

components

System Simulation with LMS Imagine.Lab Amesim

Multiphysical approach to combine all physical domains of WHR system

Validation with measurement and design data

Flexible model with ability to change components and system layout

Generic interfaces in LMS Amesim can couple the parameters and results of the

simulation model to any other data process

Interface to connect to EcoMAIN API




Thermodynamical model

Physical modeling of WHR

components

System Simulation with LMS Imagine.Lab Amesim

Multiphysical approach to combine all physical domains of WHR system

Validation with measurement and design data

Flexible model with ability to change components and system layout




Live Data Connection

Python scripts can

customize simulation

models

Python script to set parameters from measurement data and starts simulation

Python script connects to EcoMAIN API

The python script is build to ensure no user interaction is required

A control mechanism ensures that no invalid measurement data is set into the model




Exergy Analysis

Thermoeconomic model for

failure prediction

Exergy destruction rate of a component can indicate its efficiency

Reference values for the exergy destruction rates are compared to current values

Derivatives are introduced to distinguish between normal operational behavior and

anomalies

Exergy Destruction Rate:

𝐸𝑉 = 𝑇0 ∗ 𝑆𝑖𝑟𝑟 𝐸𝑉 = 𝐸𝑝ℎ.𝑖+1 − 𝐸𝑝ℎ.𝑖 𝐸𝑝ℎ = ℎ𝑖 − ℎ0 ∗ 𝑇0 ∗ (𝑠𝑖 − 𝑠0)

Low Pressure

Steam Turbine

Mass flow sensor

Enthalpy sensor

Entropy sensor




2. WHR Potential


4. Summary

Agenda



4. Summary

Thermodynamical model Live Data Connection

No required user interactionExergy Analysis



4. Summary

Drive innovation

• Explore a wider range of ideas

• Early validation of technical feasibility

• Test and compare new ideas via simulation

Streamline process

• Reduce time with virtual system integration

• Increase reusability through knowledge

capitalization

Improve quality

• Explore a wider range of ideas

• Early validation of technical feasibility

• Test and compare new ideas via simulation

Reduce costs

• Reduce costs with fewer prototypes

• Minimize risk on test beds

• Reduce products breaks and failures



MAN Diesel & Turbo speeds fuel injection system development by a factor of

five

Business challenges:

• Remain a leader in marine engine innovation

• Meet shipping companies’ needs for lower

emissions and reduced fuel costs

Keys to success:

• Adapting HFO fuel systems to gas injection

constraints

• Simulating the behavior of different fuel injection

systems using LMS Imagine.Lab Amesim

• Rapidly making design modifications by

changing parameters of off-the-shelf components

“With the upgrade of our existing PLM system, we

have seen significant improvements in data

management and migration, BOM control, and

collaboration. All of these improvements have

helped us reduce costs and speed time-to-market.

Our company has become more competitive and

stronger in the global market, and we will be sure

to further enhance our innovation process based

on the needs of the users in out next stage of PLM

expansion”

Moon Kim

Team Leader

LS

“To work with our in-house code, it is

necessary to be an expert in hydraulics

mathematics and programming. Using LMS

Imagine.Lab Amesim, the training process for

new colleagues is much simpler.”

Mikkel Thamsborg

R&D Project Manager, R&D Injection and Hydraulics Department



Simulation of a waste heat recovery (WHR) system on a large scale container

ship engine

Business challenges:

• Predict the system‘s behavior under changing

conditions

• Connect simulation model to live ship data

• Increase flexibility to adapt the model to system

changes

Keys to success:

• Fully working thermodynamic model of the

WHR-System

• Reusable components for upcoming projects

• Possibility to use the model for future system

design

“This project is a customized solution where a

former model, written in commercial code, is

transferred into a state-of-the-art simulation

platform for improved quality of the results and

easier maintenance of the model .”

Kay Tigges: Application Management

Siemens Marine

Quelle: https://man.cwshops.com/shop/images/artikel/pdf2/34411407.pdf



Thank you



Contact Data

Eric Link

LMS Imagine.Lab Amesim

Presales Solutions Consultant

[email protected]

+49 (89) 96979 3996

+49 (173) 485 2712

mailto:[email protected]

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Monitoring and optimising waste heat recovery for diesel ... · Monitoring and optimising waste heat recovery for diesel-electric vessel propulsion ... • Ship Diesel Engines with