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© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines / South East Asia & Australia Wartsila Energy-Sales 14/10/16 [Presentation name / Author] 1

LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

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Page 1: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines / South East Asia & Australia Wartsila Energy-Sales

14/10/16 [Presentation name / Author] 1

Page 2: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

Disclaimer

The information and conclusions in this presentation are based upon calculations (including software built-in assumptions), observations, assumptions, publicly available competitor information, and other information obtained by Wärtsilä or provided to Wärtsilä by its customers, prospective customers or other third parties (the ”information”) and is not intended to substitute independent evaluation. No representation or warranty of any kind is made in respect of any such information. Wärtsilä expressly disclaims any responsibility for, and does not guarantee, the correctness or the completeness of the information. The calculations and assumptions included in the information do not necessarily take into account all the factors that could be relevant.

Nothing in this presentation shall be construed as a guarantee or warranty of the performance of any Wärtsilä equipment or installation or the savings or other benefits that could be achieved by using Wärtsilä technology, equipment or installations instead of any or other technology.

14/10/16 LNG infrastructure solutions 2

Page 3: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

WARTSILA’S INVOLVEMENT IN LNG

Wartsila in Brief

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Page 4: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

This is Wärtsilä

14/10/16 LNG infrastructure solutions 4

SOLUTIONS FOR

Marine/ Offshore

Power Generation

Marine Solutions

34%

Energy Solutions

22%

Services 43%

Net sales by business 2015 Listed in Helsinki 5.0 billion € turnover Solid financial standing

18,900 Professionals

LEA

DER

IN

EFFICIENCY GAS AND DUAL- FUEL SOLUTIONS

ENVIRONMENTAL SOLUTIONS

Page 5: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

A leader in the global energy industry

Corporate presentation 2016 5

ENERGY EFFICIENT SOLUTIONS Smart Power Generation combining energy efficiency, fuel and operational flexibility

Most complete offering of marine products and integrated solutions, including a broad portfolio of environmental products

Optimised asset performance over the lifecycle

GAS BASED TECHNOLOGY A forerunner in gas and multi-fuel engines, fuel systems, technology and services

Offering that covers gas value chain from exploration to end consumers

Wide LNG offering in small-scale LNG

INNOVATIVE SOLUTIONS Making use of digital technology in lifecycle solutions to optimise the operations of our customers

Building on E&A, engineering competence and digitalisation to offer hybrid solutions and new business models

Strong and global track record in distributed energy project management

Page 6: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines
Page 7: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

Wärtsilä LNG solutions

14/10/16 LNG infrastructure solutions 7

ABOUT WÄRTSILÄ AND ITS INVOLVEMENT IN LNG

ON

SHO

RE

OFF

SHO

RE

LIFE

CYC

LE

Small LNG liquefaction plants Mini LNG liquefaction plants Medium-scale LNG terminals Small satellite LNG terminals LNG storage & regasification barge

LNG regasification BOG reliquefaction Cargo handling system Gas and LNG carriers

Fuel gas handling system Ship and cargo tank design

Lifecycle services Start–up support Product and technical support Spares Tank control systems

Page 8: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC 14/10/16 LNG infrastructure solutions 8

Mini and small-scale liquefaction plants

LIQUEFACTION PLANTS

INPUT OUTPUT PLANT

Gas sources •  Pipeline gas •  Biogas •  Landfill gas •  Associated gas •  Coal seam gas •  Tight gas •  Shale gas

2000-300,000 TPA (3400-510,000 GPD) Gas pre-treatment Liquefaction •  Mixed Refrigerant: 2000-30,000 TPA

(3400-51,000 GPD) •  Reversed Brayton: 20,000-300,000

TPA (34,000-510,000 GPD)

Storage tanks Jetty & marine facilities Export systems

LNG transport •  Carriers •  Tanker trucks •  Containers •  Rail cars

Peak shaving gas send-out

Ship bunkering

Mini liquefaction plants

Small-scale liquefaction plants

Peak shaving plants

Page 9: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC 14/10/16 LNG infrastructure solutions 9

Small- and medium-scale terminals

TERMINALS

INPUT OUTPUT TERMINAL

LNG transport •  Carriers •  Tanker trucks •  Containers •  Rail cars

Tank capacity 100-160,000 m3 (26,400-42 million gallons) Jetty & marine facilities Unloading systems Storage tanks Boil-off gas handling Regasification •  Up to 1000 TPH

(1000 MMSCFD) Export systems

LNG transport •  Carriers •  Tanker trucks •  Containers •  Rail cars

Gas send-out

Ship bunkering

Satellite terminals for gas power plants

Small satellite terminals

Storage & regasification barges

Medium-scale terminals

Page 10: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC 14/10/16 LNG infrastructure solutions

CUSTOMER VALUE PROPOSITIONS

Reduce risk by guaranteed price, delivery and performance

•  EPC contracts guarantee performance, on-time delivery and a fixed price.

•  Operations & Maintenance agreements ensure reliable operations and predictable costs.

•  Wärtsilä’s dual-fuel engine technology helps to reduce LNG supply risk for power plants.

Increase revenues by shortening project development and EPC lead time

•  A collaborative approach to the project definition phase shortens time to FID, allowing you to act on business opportunities first and make money sooner.

We turn project ideas into reality

•  We not only help customers with all-in LNG solutions, but can also assist with project structuring and financing arrangements.

•  Wärtsilä offers full wrap EPC package including power plant and LNG infrastructure.

Reduce costs by adequate & standardized solutions

•  Solutions fit for the purpose of small-scale LNG lower CAPEX&OPEX without compromising functionality and safety.

•  Modularisation and standardisation lower design and installations costs.

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How does Wärtsilä create value?

Page 11: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

BEFORE: CONVENTIONAL LNG VALUE CHAIN

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Page 12: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

AFTER: CONVENTIONAL + SMALL-SCALE VALUE CHAIN

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Page 13: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

VALUE CHAIN OPTIMIZATION

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Page 14: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

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Value chain optimization

• When developing an LNG project, it is important to consider the setup and reliability of the whole LNG value chain in order to achieve an affordable and well-functioning system.

• Wartsila has the experience and tools that already at an early stage allow us to simulate an LNG value chain to preliminarily determine: •  LNG storage tank sizes •  LNG carrier fleet •  Routing of fleet •  Price of LNG delivered at site

Page 15: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

Tank dimensioning philosophy

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Function Criteria

Storage Capacity Send-out Rate

Reserve requirement

Heel Requirement

Shipping time Incl. loading and unloading

Total storage volume

Reserve requirement

Volu

me

Time

Ship

car

go

Heel requirement

•  Optimization of the logistic chain might show that choosing a higher investment in CAPEX leads to lower costs of delivered LNG

•  Is the most optimal solution available to you? •  Do you trust the logistical chain to perform as

planned?

Page 16: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC 14/10/16 [Presentation name / Author] 16

Risks in the logistical chain

•  Times at port and congestion delays are normally under-calculated •  Unloading a part cargo takes almost

the same time as unloading a full cargo

•  Availability of suitable LNG carriers •  Few LNG carriers available

immediately •  LNG supplier’s ship requirements •  Draft restrictions •  Port costs •  Probability of delays: Do we need to

build in large reserve tank capacity?

One-to-one Milk run

Page 17: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC 14/10/16 [Presentation name / Author]

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Case: Philippines

Site MW LNG consumption m3 / day

Puerto Princesa 30 289.5

Iloilo 50 482.5

Toledo 30 289.5

Nasipit 100 965

Batangas Central LNG Terminal And Anchor Mid-merit Power Plant

Toledo 30 MW

Nasipit 100 MW

Puerto Princesa 30 MW

Iloilo 50 MW Small scale LNG Carrier

FOB LNG price has been set to 8 USD / mmBtu

Page 18: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC 14/10/16 [Presentation name / Author] 18

Case: Philippines

Inputs •  Locations of supply and receiving ports •  Distances between all ports •  Demands at receiving ports •  Ship sizes, charter costs, etc. •  Loading/unloading rates, berthing times •  Investment costs for terminals •  Time horizon for study •  Possible constraints

The following LNG carrier sizes were allowed for this case study: •  5,000 m3

•  7,500 m3 •  10,000 m3

•  15,000 m3

•  30,000 m3

•  40,000 m3

Rest of the input data is based on assumptions and experiences from elsewhere in the world. No restrictions regarding draught have been considered.

Page 19: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

0

10000

20000

30000

40000

50000

60000

0 5 10 15 20 25 30 Days of storage

200 MW plant (baseload 8000 h/year) 620,000 m3/year (=280,000 tonnes/year)

50 MW plant (baseload 8000 h/year); OR 100 MW (flexible baseload = 4000 h/year); OR 200 MW (peak load = 2000 h/year) 155,000 m3/year (=70,000 tonnes/year)

m3 LNG

100 MW plant (baseload 8000 h/year) 310,000 m3/year (=140,000 tonnes/year)

Common refilling interval

LNG CONSUMPTION IN A POWER PLANT

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Page 20: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

Optimization shows that a system price of 10.2 USD/mmBtu for LNG delivered at site is achievable

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0.0

0.5

1.0

1.5

2.0

2.5

3.0

7 9 11 13 15 17 19 21

$/m

mbt

u

Days of storage

Logistical costs

Terminal investment costs

Cost of delivered LNG (excl. FOB price)

Point where cost of delivered LNG is minimized

8 days of storage gives an optimal system

Page 21: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC 14/10/16 [Presentation name / Author] 21

Tank storage – Analysis of 5 periods of 8 days

Site MW LNG consumption m3 / day

Tank size m3

Puerto Princesa

30 289.5 3,088

Iloilo 50 482.5 5,147

Toledo 30 289.5 3,088

Nasipit 100 965 10,293

Example of what a 5,000 m3 terminal could look like

Page 22: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

Recommended fleet

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One 30,000 m3 LNG carrier Utilization of capacity ≈ 68 %

Approximate dimensions:

•  Length overall: 185 m

•  Breadth: 28 m

•  Design draught: 8.5 m

•  Design speed: 15.5 knots

If there are draught limitations, these can be set in the input data, whereby the simulation will yield a different result.

Page 23: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC 14/10/16 [Presentation name / Author] 23

Routing – 8 days time periods & 30,000 m3 LNGC

Batangas →

Toledo →

Nasipit →

Iloilo →

Puerto Princesa →

Batangas

Page 24: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

Tank storage – Analysis of 5 periods of 17 days

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Site MW LNG consumption m3 / day

Tank size m3

Puerto Princesa

30 289.5 8,810

Iloilo 50 482.5 11,686

Toledo 30 289.5 6,562

Nasipit 100 965 22,683

0

500

1000

1500

2000

2500

1 2 3 4 5

m3

Period

Storage level at beginning of period

Iloilo Nasipit Puerto Princessa Toledo

If terminal investment costs don’t need to be considered, logistical costs can be lowered

Tanks would be considerably larger

Page 25: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

Routing – 17 days time periods & 15,000 m3 LNGC

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Periods 1, 3 & 5 Periods 2 & 4

Batangas→Toledo→Nasipit→Batangas Batangas→Nasipit→Batangas Batangas→Iloilo→Puerto Princesa→Batangas

Batangas→Iloilo→Nasipit→Batangas Batangas→Nasipit→Batangas Batangas→Toledo→Puerto Princesa→Batangas

If terminal investment costs don’t need to be considered, logistical costs can be lowered

Page 26: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

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Common hurdles in small-scale LNG projects

•  Supply of LNG in small quantities might be difficult to arrange •  LNG is new to authorities, so it takes time to identify requirements for FEED study &

tender •  Limitations and requirements (e.g. marine infrastructure) dictated by the site increase

costs •  Failure to consider the whole LNG value chain, which may have a greater impact on the

price of delivered LNG than the CAPEX of the terminal. •  Difficulty of signing up customers due to project uncertainties, such as difficulty to estimate

what the small-scale LNG price will be •  Financing

Page 27: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC 14/10/16 [Presentation name / Author] 27

More than equipment

In addition to a safe, well-functioning and complete LNG facility, Wärtsilä creates value by ensuring:

• Expertise and contacts in the shipping industry

• Optimization of the LNG value chain

• Constructability of the facility

Page 28: LNG value chain optimization - · PDF file© Wärtsilä PUBLIC LNG value chain optimization Case study: Philippines Bing P. Tomas, Country Business Development Manager, Philippines

© Wärtsilä PUBLIC

THANK YOU KIITOS SALAMAT

14/10/16 [Presentation name / Author] 28