1c – business case of the unmanned vessels

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SST.2012.5.2-5: Grant no. 314286 E-guided vessels: The 'autonomous' ship Business case of the unmanned vessel MUNIN Final Event June 10 th 2015, Hamburg, Germany Dipl.-Ing.oec. Lutz Kretschmann Research Associate Fraunhofer CML http://www.unmanned-ship.org

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Page 1: 1c – Business case of the unmanned vessels

SST.2012.5.2-5: Grant no. 314286 E-guided vessels: The 'autonomous' ship

Business case of the unmanned vessel

MUNIN Final Event June 10th 2015, Hamburg, Germany

Dipl.-Ing.oec. Lutz Kretschmann Research Associate

Fraunhofer CML

http://www.unmanned-ship.org

Page 2: 1c – Business case of the unmanned vessels

Agenda

Introduction

Methodology of analysis

Cost of the unmanned autonomous ship

Business case scenarios

2

Page 3: 1c – Business case of the unmanned vessels

From Research and Innovation to Market Deployment

3

Successful introduction of innovative technologies depends on:

Technical feasibility

Regulatory compliance

Proven safety

Economic viability

Page 4: 1c – Business case of the unmanned vessels

Trade-off Between Increased Capital Costs and Reduced Crew Costs

4

Crew in SCC

Crew on board

Capital cost

0

50

100

150

200

250

1850 1900 1950 2000 2050

Future development?

Short term application

MUNIN long term vision

Principal correlation of crew size and new building cost

Crew size development of ocean going ships

Source: Fraunhofer CML

Page 5: 1c – Business case of the unmanned vessels

Agenda

Introduction

Methodology of analysis

Cost of the unmanned autonomous ship

Business case scenarios

5

Page 6: 1c – Business case of the unmanned vessels

Scope of Analysis

6

Unmanned ship

Reduced crew

New ship designs

Improved safety

Intelligent ship

Optimized (weather) routing

Onboard energy efficiency management

Voyage performance management

Condition monitoring and management

Efficient ship

Hull form optimization

Energy-saving devices

Machinery technology

Innovations in waterborne transport

Source: Fraunhofer CML

Page 7: 1c – Business case of the unmanned vessels

Shipping Cash-flow Model

If cost over lifetime of unmanned autonomous bulker is lower than cost of conventional bulker it will generate a higher free cash flow

7

Capital Cost Operating Cost Voyage Cost

Ship Revenue Depends on: 1. Cargo capacity 2. Productivity 3. Freight rates

Free cash flow

Source: Stopford 2009

Page 8: 1c – Business case of the unmanned vessels

Methodology of Analysis

8

Cost model of conv. bulker: 1. Capital Cost 2. Operational Cost 3. Voyage Cost

a. Identify differences b. Model & calculate effects

Cost model of MUNIN bulker: 1. Capital Cost 2. Operational Cost 3. Voyage Cost

1

2

3

Source: Fraunhofer CML

100%

50%

Cost-NPV

MUNIN bulker

Conventional bulker Calculate Net Present Value of cost over lifetime Compare Cost-NPV under different scenarios If Cost-NPV of MUNIN bulker is lower than Cost-

NPV of conventional bulker unmanned autonomous ship is favorable

4

Page 9: 1c – Business case of the unmanned vessels

Agenda

Introduction

Methodology of analysis

Cost of the unmanned autonomous ship

Business case scenarios

9

Page 10: 1c – Business case of the unmanned vessels

Operating Cost – Changes for the MUNIN Bulker

10

Operating cost conventional bulker

Insurance

General Costs

13%

45%

Operating Cost

15%

Maint. & Repair

13%

Stores & Consumables

14%

Crew Cost

Changes

Source: Fraunhofer CML

Page 11: 1c – Business case of the unmanned vessels

Unmanned Ship Requires Land Based Services

11

Additional cost for land based services: 1. Shore control center

• Personnel cost • Equipment, rent, etc.

2. Maintenance crews in port

Crew is shifted from ship to shore

On board crew related cost is reduced

Source: Fraunhofer CML

Page 12: 1c – Business case of the unmanned vessels

Voyage Cost and Fuel Price

Impossible to predict how fuel prices

develop in future

Necessary to predict how fuel prices

develop in future

Approach based on forecast for

crude oil prices (IEA World Energy

Outlook)

Oil price is converted into fuel prices

(HFO/MDO) based on past ratio

12

0

200

400

600

800

1.000

1.200

HFO

MDO

20

14

20

13

20

12

20

11

20

10

20

09

20

08

20

07

20

06

20

05

HFO

Crude Oil

MDO 2020 2025 2030 2035

Crude Oil [USD/barrel] 119.5 121.9 123.6 125

Crude oil an fuel price development USD per tone

Source: IEA World Energy Outlook 2012, Fraunhofer CML

Forecast base case

Page 13: 1c – Business case of the unmanned vessels

Voyage Cost – Changes for the MUNIN Bulker

13

14%

Fuel propulsion

69%

Voyage cost

Fuel e-power

17% Port cost

Voyage cost conventional bulker Changes

Source: Fraunhofer CML

Page 14: 1c – Business case of the unmanned vessels

Efficiency Gains Related to Unmanned Ship Design Considered in Analysis

14

Light Ship Weight (no deckshouse) Reduced fuel consumption

Hotel systems (no crew living on board) Reduced fuel consumption

Twin skeg / two engines design Additional fuel efficiency gains possible

Air resistance (no deckshouse) Reduced fuel consumption

Source: Fraunhofer CML

2

1

3

4

Page 15: 1c – Business case of the unmanned vessels

New Building Price of Panamax Bulk Carriers

15

0

10

20

30

40

50

60

70

80

90

100

2002 2004 2006 2008 2010 2012

34

Handysize

Panamax

Capsize

Development of bulker new building prices m USD

New building price volatile in

recent past

Average new building price for

panamax bulker over past 12

years was 34mUSD

Capital cost of conventional

bulker assumed to be 34mUSD

Source: EquityGate Advisors 2013, Fraunhofer CML

Page 16: 1c – Business case of the unmanned vessels

Changes in New Building Cost for Unmanned Ship Design

16

Propulsion: twin skeg & two engines

Autonomous ship technology (advances sensor module, deep-sea navigation system, etc.)

No deckhouse (reduced material & production cost)

No hotel (air conditioning, heating, ventilation, etc.)

Redundancy of technical systems (communication, e-system, etc.)

4

1

2

3

5

Source: Fraunhofer CML

Page 17: 1c – Business case of the unmanned vessels

Agenda

Introduction

Methodology of analysis

Cost of the unmanned autonomous ship

Business case scenarios

17

Page 18: 1c – Business case of the unmanned vessels

Base Scenario

18

Scenario description:

• Fuel price: med.

• New building: 110%

• Main fuel type: HFO

• Considers effects of

• Reduced crew

• Improved ship efficiency

Source: Fraunhofer CML

-3,4

-2,5 2,5 7,5 10,0 0,0 5,0

mUSD

+10,4 Crew cost

Higher newbuilding cost

+ 9,9

Land based services

MUNIN

+5,4

-2,5

Better fuel efficiency

MUNIN compared to a conventional bulker Expected present value over lifetime

Page 19: 1c – Business case of the unmanned vessels

Impact of Fuel Cost on Base Scenario

19

Scenario description:

• Fuel price: high/med./low

• New building: 110%

• Main fuel type: HFO

• Considers effects of

• Reduced crew

• Improved ship efficiency

Source: Fraunhofer CML

0

5

10

15

0

40

80

120

160

200

Oil price [USD/barrel]

Expected PV [mUSD]

High Medium Low

Advantageousness of MUNIN bulker for different fuel price scenarios

Page 20: 1c – Business case of the unmanned vessels

MDO Scenario

20

Scenario description:

• Fuel price: med.

• New building: 110%

• Main fuel type: MDO

• Considers effects of

• Reduced crew

• Improved ship efficiency

Source: Fraunhofer CML

MUNIN vs conventional bulker Expected present value of savings over lifetime

-3,4

-15 -10 -5 0 5 10

mUSD

MUNIN -14,9

MDO as fuel -19,4

Land based services

-2,5

Crew cost +10,4

Higher newbuilding cost

Page 21: 1c – Business case of the unmanned vessels

MDO & MDO Scenario

21

Scenario description:

• Fuel price: med.

• New building: 110%

• Main fuel type: MDO on

MUNIN & conv. bulker

• Considers effects of

• Reduced crew

• Improved ship efficiency

Source: Fraunhofer CML

MUNIN vs conventional bulker Expected present value of savings over lifetime

-3,4

-2,5 2,5 0,0 5,0 7,5 10,0 12,5 -5,0

mUSD

MUNIN +11,5

Better fuel efficiency

+7,0

Land based services

-2,5

Crew cost +10,4

Higher newbuilding cost

Page 22: 1c – Business case of the unmanned vessels

Scenario Reduced Crew Only

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Scenario description:

• Fuel price: med.

• New building: 110%

• Main fuel type: HFO

• Considers effects of

• Reduced crew

• Improved ship efficiency

Source: Fraunhofer CML

MUNIN vs conventional bulker Expected present value of savings over lifetime

-3,4

-5,0 7,5 5,0 2,5 0,0 -2,5

mUSD

MUNIN + 1,3

Additional port call cost

-3,2

Land based services

-2,5

Crew cost +10,4

Higher newbuilding cost

Page 23: 1c – Business case of the unmanned vessels

Best Case Scenario

23

Scenario description:

• Fuel price: high

• New building: 80%

• Main fuel type: MDO on

MUNIN & conv. bulker

• Considers effects of

• Reduced crew

• Improved ship efficiency

• No onboard control team

Source: Fraunhofer CML

MUNIN vs conventional bulker Expected present value of savings over lifetime

10 5 0 25 20 15 30

+ 29,0 MUNIN

mUSD

Better fuel efficiency

+6,8

+14,3

Land based services

-2,5

Crew cost +10,4

Lower new building cost

Page 24: 1c – Business case of the unmanned vessels

Thank You!

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