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Your company logo




              “Simulating LNG inventory management at
                          the Gate terminal”

                               Feikje Wittermans




                                                                                      Hosted by:

November 8, 2011       Simulating LNG inventory management at the Gate terminal   1
Your company logo   Contents


     1.       The Gate terminal
     2.       Managing LNG inventory and throughput
     3.       Simulation model(s) over time
     4.       SIMA functionality
     5.       Benefits of simulation
     6.       Next steps




                                                                                          Hosted by:

November 8, 2011           Simulating LNG inventory management at the Gate terminal   2
Your company logo   1. Gate terminal provides an alternative for
                    pipeline gas

     • The Gate terminal is considered as a major component of the
       Dutch strategy of becoming the Gas Roundabout of Europe

     • Gate terminal is an LNG regasification terminal where we
              – Receive LNG by unloading LNG carriers (2 jetties)
              – Store LNG temporary (3 storage tanks) and
              – Deliver Gas in the National Grid (GTS) by regasifying the LNG using
                cooling water from the Eon power plant


     • Yearly output (in natural gas) of the terminal in Gas is 12
       billion m3 (n) per year


                                                                                             Hosted by:

November 8, 2011              Simulating LNG inventory management at the Gate terminal   3
Your company logo   1. Cooling water is used to regasify the LNG

     • Cooling water used to regasify the LNG is transported via a
        pipeline and tunnel from the Eon Power station to the Gate
        terminal
     • The terminal is
       Considered a
       zero emission
       terminal




                                                                                            Hosted by:

November 8, 2011             Simulating LNG inventory management at the Gate terminal   4
Your company logo   1. Process overview of the terminal




                                                                                            Hosted by:

November 8, 2011             Simulating LNG inventory management at the Gate terminal   5
Your company logo   2. Modeling LNG inventory and throughput
                    management
     Setting:
     • Multiple customers → 12 BCMa
     • Terminal capacity = 540,000 m3 (3 tanks of 180.000 m3 each)
     • Max parcelsize (Q-Max = 266,000 m3 LNG)
     • 2 jetties (unloading capacity of 15.000 m3 per hour)

     Challenges:
     • Guarantee customer throughput
     • Minimize demurrage
     • Optimize capacity usage
     • Manage send out rate for Gas delivery in the Grid

                                                                                           Hosted by:

November 8, 2011            Simulating LNG inventory management at the Gate terminal   6
Your company logo   2. Inventory and throughput is ruled by
                      many variables
    600,000
Inventory                                                                                               capacity
level
                                                                                                       Customer 1
   500,000                                                                                             Customer 2
                                                                                                         Total


   400,000



   300,000                            Reality adds more complexity:
                                                  Variability in arrivals
                                                    More customers
   200,000
                                                       Spot cargo’s
                                                  Different vessel sizes
                                                       and more…
   100,000




                                                                                                         time
                      arrival                                arrival    arrival            open slot

                                                                                                        Hosted by:

   November 8, 2011             Simulating LNG inventory management at the Gate terminal   7
Your company logo   3. SIMA developed over time from a Decision
                    support tool only into a general support tool
     • The simulation models used for Decision support have
       developed from a complex, non-transparant model using
       huge excel files into a user friendly web based application
       allowing secured access from anywhere
     • Now additional functionality (e.g. back loading) is easily
       added to the model
     • The next version of the model will also support the terminal
       planning function

2007                     2008                      2010                        2011             2012

     • Student              • Redesign                 • Scenario                  • Decision         • Web
     • Arena                  model                      Navigator                   support            based
       model                  with                     • Inventory                                    • Operation
     • Excel                  additional                 mgmt                                           support
       interface              capacities


                                                                                                Hosted by:

November 8, 2011                Simulating LNG inventory management at the Gate terminal    8
Your company logo   4. SIMA gives insight in the terminal’s
                     boundaries of the “hard- and software”
      • Over several dimensions we are able to change inputs and
        parameters in order to analyse the impact of these changes
        on the performance of the terminal


New scenario             Edit scenario                Create schedule             Run simulation         Results &
                                                                                                         analysis

    •Duplicate               •Customer(s)                 •Allocates all              •Arena                  •Throughput
    •Scenario name           •Terminal                     vessels to an               software               •Delays
    •Date                    •Port                         arrival slot               •Terminal               •Demurrage
    •User                    •Vessels                                                  model                  •Logs
                             •Equipment                                               •Variability            •Causes
                                                                                      •Failures




                                                                                                          Hosted by:

  November 8, 2011                  Simulating LNG inventory management at the Gate terminal         9
Your company logo
                    4. The User interface for creating scenario’s and
                    running the model only needs 4 buttons:




                                                                        Hosted by:

08/11/2011                                                      10
Your company logo   4. SIMA’s parameters are “easy” built up
                    over several dimensions
     • SIMA data entry




                                                                                             Hosted by:

November 8, 2011             Simulating LNG inventory management at the Gate terminal   11
Your company logo   4. SIMA functionality also contains
                    animation
     • Arena model animation




                                                                                             Hosted by:

November 8, 2011             Simulating LNG inventory management at the Gate terminal   12
Your company logo   4. SIMA ‘s dashboard shows the
                    bottlenecks in one overview
     • SIMA results overview




                                                                                             Hosted by:

November 8, 2011             Simulating LNG inventory management at the Gate terminal   13
Your company logo   4. Per issue, we can drill down into more
                    detail to look for the cause
     • SIMA results on waiting




                                                                                             Hosted by:

November 8, 2011             Simulating LNG inventory management at the Gate terminal   14
Your company logo   5. Benefits of simulation for Gate


     • With the first Arena model we were able to optimize the
       dimensions of the terminal and the business model for Gate
       first and later on other LNG terminals to be planned

     • Later on, simulations helped us to learn how the several
       parameters impacted each other

     • We used these insights in defining the optimum parameters
       for future expansion in both size and functionality

     • Simulations enable us to show current customers the impact
       of any expansions

                                                                                             Hosted by:

November 8, 2011             Simulating LNG inventory management at the Gate terminal   15
Your company logo     6. Next steps for SIMA


     • Operational planning support
              –     Import annual unloading schedule
              –     Cancellation of berth slots
              –     Client dedicated dashboards
              –     Actual versus scheduled user interface


     • Web deployment
              – SIMA online
              – Global access by iPad, PC & Notebook




                                                                                                 Hosted by:

November 8, 2011                 Simulating LNG inventory management at the Gate terminal   16

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Simulating inventory management ate the GATE LNG import terminal

  • 1. Your company logo “Simulating LNG inventory management at the Gate terminal” Feikje Wittermans Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 1
  • 2. Your company logo Contents 1. The Gate terminal 2. Managing LNG inventory and throughput 3. Simulation model(s) over time 4. SIMA functionality 5. Benefits of simulation 6. Next steps Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 2
  • 3. Your company logo 1. Gate terminal provides an alternative for pipeline gas • The Gate terminal is considered as a major component of the Dutch strategy of becoming the Gas Roundabout of Europe • Gate terminal is an LNG regasification terminal where we – Receive LNG by unloading LNG carriers (2 jetties) – Store LNG temporary (3 storage tanks) and – Deliver Gas in the National Grid (GTS) by regasifying the LNG using cooling water from the Eon power plant • Yearly output (in natural gas) of the terminal in Gas is 12 billion m3 (n) per year Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 3
  • 4. Your company logo 1. Cooling water is used to regasify the LNG • Cooling water used to regasify the LNG is transported via a pipeline and tunnel from the Eon Power station to the Gate terminal • The terminal is Considered a zero emission terminal Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 4
  • 5. Your company logo 1. Process overview of the terminal Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 5
  • 6. Your company logo 2. Modeling LNG inventory and throughput management Setting: • Multiple customers → 12 BCMa • Terminal capacity = 540,000 m3 (3 tanks of 180.000 m3 each) • Max parcelsize (Q-Max = 266,000 m3 LNG) • 2 jetties (unloading capacity of 15.000 m3 per hour) Challenges: • Guarantee customer throughput • Minimize demurrage • Optimize capacity usage • Manage send out rate for Gas delivery in the Grid Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 6
  • 7. Your company logo 2. Inventory and throughput is ruled by many variables 600,000 Inventory capacity level Customer 1 500,000 Customer 2 Total 400,000 300,000 Reality adds more complexity: Variability in arrivals More customers 200,000 Spot cargo’s Different vessel sizes and more… 100,000 time arrival arrival arrival open slot Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 7
  • 8. Your company logo 3. SIMA developed over time from a Decision support tool only into a general support tool • The simulation models used for Decision support have developed from a complex, non-transparant model using huge excel files into a user friendly web based application allowing secured access from anywhere • Now additional functionality (e.g. back loading) is easily added to the model • The next version of the model will also support the terminal planning function 2007 2008 2010 2011 2012 • Student • Redesign • Scenario • Decision • Web • Arena model Navigator support based model with • Inventory • Operation • Excel additional mgmt support interface capacities Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 8
  • 9. Your company logo 4. SIMA gives insight in the terminal’s boundaries of the “hard- and software” • Over several dimensions we are able to change inputs and parameters in order to analyse the impact of these changes on the performance of the terminal New scenario Edit scenario Create schedule Run simulation Results & analysis •Duplicate •Customer(s) •Allocates all •Arena •Throughput •Scenario name •Terminal vessels to an software •Delays •Date •Port arrival slot •Terminal •Demurrage •User •Vessels model •Logs •Equipment •Variability •Causes •Failures Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 9
  • 10. Your company logo 4. The User interface for creating scenario’s and running the model only needs 4 buttons: Hosted by: 08/11/2011 10
  • 11. Your company logo 4. SIMA’s parameters are “easy” built up over several dimensions • SIMA data entry Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 11
  • 12. Your company logo 4. SIMA functionality also contains animation • Arena model animation Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 12
  • 13. Your company logo 4. SIMA ‘s dashboard shows the bottlenecks in one overview • SIMA results overview Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 13
  • 14. Your company logo 4. Per issue, we can drill down into more detail to look for the cause • SIMA results on waiting Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 14
  • 15. Your company logo 5. Benefits of simulation for Gate • With the first Arena model we were able to optimize the dimensions of the terminal and the business model for Gate first and later on other LNG terminals to be planned • Later on, simulations helped us to learn how the several parameters impacted each other • We used these insights in defining the optimum parameters for future expansion in both size and functionality • Simulations enable us to show current customers the impact of any expansions Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 15
  • 16. Your company logo 6. Next steps for SIMA • Operational planning support – Import annual unloading schedule – Cancellation of berth slots – Client dedicated dashboards – Actual versus scheduled user interface • Web deployment – SIMA online – Global access by iPad, PC & Notebook Hosted by: November 8, 2011 Simulating LNG inventory management at the Gate terminal 16