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This study establishes a comprehensive model exploring global shipping systems from 2010 to 2050, focusing on emissions control and energy management. It evaluates alternative transport modes, technologies, and regulatory instruments while calculating the energy and emissions costs across various scenarios. By simulating the impacts of different load types, shipping modes, and operational technologies, we aim to guide effective decision-making in logistics and trade. Key findings will highlight the optimal measures and strategies for sustainable maritime transport.
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1. Additional material: aims, scope and illustrative results
2. Model aims, scope and methods Aims:
What measures to control emissions and energy?
Demand management
Alternative transport modes
Technologies and fuels
Logistics
What regulatory and economic instruments can be applied?
Scope:
Global shipping system from 2010 to 2050; Energy, Emissions and Costs
Methods:
Simulation and optimisation
Note: data illustrative only
3. Model scope Calculate energy, emissions cost for each scenario
For each combination of:
Load type passenger, freight
Mode
Route
Ship (transporter) size and technology
Allocate emissions:
Space
Time
Country, ownership
3
4. Global trade and transport system schematic 4
5. Transport system schematic Transport across nodes and links.
Systems for each load type are almost independent for sea transport, but not other modes. 5
6. Trade Products are mainly transported because the costs of transport are less than the cost difference between indigenous and foreign/remote production; i.e. a commodity may be transported from B to A if:
(Cost production at location A) > [(Cost production at B) + (Cost transport) ]
6
7. Transport: volume and distance
Load lifted by distance and mode
(histogram from link traffic)
Load km by distance and mode 7
8. Transport: load distance
Load distance scenarios
Freight t.km by type 8
9. Ship model: operations Calculate energy and emissions for propulsion, auxiliary and port functions. 9
10. Ship model: ship power consumption by operation
Power consumption by operation
Power consumption during 20 day trip:
Energy = power x time 10
11. Ship model: economics
Annual costs
Costs vs speed
Current fuel costs Future fuel/carbon costs (300% tax)
Optimum speed ~17 knots Optimum speed ~13 knots
11
12. Scenario measures Measures : types, maximum values and combinations
Measures : Rate of effect 12
13. Ship stock model: vintage and efficiency
Stock by vintage
New build and retrofit efficiency 13
14. Ship stock model: demand and changes Demand, ship size and number
Stock changes 14
15. Ship stock model: energy and fuel
Propulsion energy output
by vintage
Energy delivered by fuel 15
16. Scenarios Number of ships
Ship build 16
17. Scenarios Propulsion energy
CO2 17
18. Optimization - trade, route/mode, technology and operation (TRMTO acronym for this presentation) Different objective functions:
Fix trade, optimise route/mode
Fix consumption: minimise costs to meet CO2 targets
Maximise total welfare of system
Decision variables
Consumption
Production
Route mode flows
Technology
Operation
19. TRMTO Inputs
Production and consumption curves for each region/country
Transport carbon and costs for each route/mode dependent on route, mode, fuel, technology, operation etc.
Transporter technical and cost capital and operation functions
20. TRMTO INSTRUMENTS
For example, CO2 limit, or tax:
21. TRMTO
22. TRMTO Route / mode data and model results
Should include pipe, air
23. TRMTO Summary output of
consumption, production flows (maxima) and costs
transport
24. Trade optimisation animated This shows TradeMod seeking a least cost solution.
It illustrates how patterns of tradeflow might change.
This model accounts for link constraints.
How might it be applied to global shipping?
24
25. Shipping model: Data 25