Digital Ship ForumYoungsoo Lee, Senior Research Engineer

Samsung Heavy Industries Co., Ltd.

Estimating LNGC OPEX via Model-driven Approach

Contents

1. Introduction

2. Component Model Implementation

3. Co-simulation with Multiple Simulators

4. Estimating LNGC OPEX via Co-simulation

5. Future Work

1. Introduction: Conventional Approach Traditional development process

Concept of Operations

RequirementsAnd

Architecture

DetailedDesign

Implementation

Operation and

Maintenance

SystemVerification

and Validation

Integration, Test, and Verification

VerificationAnd

Validation

ProjectDefinition

Time

Project Test &

Integration

1. Introduction: Conventional Approach Cost of defects by phase created and foundCost rapidly increases if defect is found in later phase

1. Introduction: Model-driven Approach Verification and Validation at Each Phase Significantly reduces the development Cost and Time

1. Introduction: Model-driven Approach Resources are Front-loaded Significantly reduces the development Cost and Time

1. Introduction: Problem Statements Requirements for successful Model-Driven Approach in ship buildings

Models Integration

SubsystemsEquipmentsEnvironmentsOperations

Multi-domainMulti-tools

Various participants

1. Introduction: Problem Statements As a pilot project : selecting a Suitable Engine for a Clean and Energy Efficient Vessel

Engine

Affect Many Sub-systemsCompressor, Pump, Control

Various TypesDiesel, Duel Fuel1

2Dynamic EnvironmentsWeather, Route3

1. Introduction: Problem Statements Compare fuel efficiency in the Engine selection

Engine Cost OPEX (FOC)• Diesel • CAPEX (fixed) • Vessel

• Duel Fuel • OPEX • Route

• Weather

• Oil Price

Modeling

2. Component Model ImplementationComponent Models of Vessel that are related to OPEX estimating

EngineM/E, G/E

Fuel S. S.

HVAC

Completed Not yet

Propulsion

EnvironmentWeather, Route

2. Component Model ImplementationAn Engine Model

EngineM/E, G/E

• Load

• Mode

• Ambient Temperature

• Engine FOC

2. Component Model ImplementationThe Propulsion & Environment Model - EN-SAVER

• Route

• Weather

• Optimal trim

EN-SAVER1)

Environment

1) EN-SAVER : SHI energy efficiency Management solution

• Optimal Operation

2. Component Model ImplementationThe Propulsion & Environment Model - EN-SAVER

• Trim

• Operation

• Vessel shape

• Required Propulsion Power

EN-SAVER

Propulsion

2. Component Model ImplementationA HVAC Model

HVAC

• Whether

• Ship structure

• HVAC Power Consumption

• Reefer

2. Component Model ImplementationA Fuel Supplying System Model

Fuel S. S.

• M/E FOC

• G/E FOC

• Fuel S. S. Power Consumption

3. Co-Simulation with Multiple SimulatorsSimulators of every model are Different

EngineM/E, G/E

Fuel S. S.

HVAC

Prop.

C#

Env.

3. Co-Simulation with Multiple Simulators

SIOT

Simulation Integration platform : Smart Integration Of Technology (SIOT) A Software Environment for co-simulation of different simulation programs

Engine

F. S. S.

HVAC

Env.Prop.

4. Estimating LNGC OPEX via Co-simulation

EN-GINE

Fuel S. S.

HVAC

Weather & Route

Co-simulation model on SIOT platform

EnvironmentPropulsion

4. Estimating LNGC OPEX via Co-simulationOPEX evaluation flow

WeatherRoute

Co-Sim.

FOC OPEX

Oil Price

4. Estimating LNGC OPEX via Co-simulationEnd-user interface

4. Estimating LNGC OPEX via Co-simulationResult analysis & plotting

4. Estimating LNGC OPEX via Co-simulationResult export to Excel – FOC Analysis

4. Estimating LNGC OPEX via Co-simulationResult export to Excel – OPEX Analysis

5. Future Plan

Cooperate with Vendor / Research Inst.Equipment Model Development & StandardizationIntegration & Validation platform

Apply MDD to Various AreaConcept VerificationEarly Stage System Sizing & Optimiza-tion

1

2

Questions?

Thank you!