Ice Load Monitoring (ILM)

Transcription

1 Ice Load Monitoring (ILM) R&D project supported by DNV, Teekay, The Research Council of Norway, Norwegian Meteorological Institute, C- map Marine Forecast and Norwegian Coastguard. Morten Mejlænder-Larsen MAROFF 7 December 2006

2 Background With 25% of the worlds known oil and gas resources located in the cold areas, the transportation to the marked from cold areas will increase. Russia has become the largest exporter of oil and a major exporter of gas. Political signals have boosted the attention to how to increase the export from Russia. Limitations in onshore pipeline capacity leave shipping as the most interesting alternative when expanding the export volumes. The increased export of oil from ice infested waters like Barents Sea, The White Sea, Pechhora, Sakhalin and Baltic will increase significantly. Ship operations in heavier ice conditions and extreme low temperatures will require ships and equipment specially designed for the harsh environment and a crew with experience from similar areas. Increased focus on bulk transportation in Canadian waters. Focus will be on new and innovative solutions to satisfy the strict requirements to ships and equipment from shipowners, class societies, operators, public authorities, and other stake holders. The goal for this project is to develop tools for safer operation in ice infested waters. Lack of information about the actual ice condition and the corresponding load acting on the hull is identified to be among the most critical factors when operating in arctic waters. Delivery: - Develop a decision support system for ship operation under severe ice conditions and in case of accidental situations Slide 2

3 Challenges when operating in cold climate A major challenge when operating in ice is to gather information about the local ice conditions and to operate the ship within the design limits for the actual vessel (ice class). Experience has shown that ships operating in ice are exposed to damages to both hull and rudder/propeller, and a major cause is that the ship is operated in more heavy ice conditions than anticipated for the actual ice class the ship is designed for. A premise to reduce this type of damages, which in worst case may lead to total loss of the vessel, is to collect information about both the actual ice conditions along the route and the actual loads the hull is exposed to. In order to reduce this type of damages, a tool which can collect this type of information and make it easily available at the bridge for the navigator has to be developed. In this project a system for ICE LOAD MONITORING (ILM) will be developed. Slide 3

4 Ice gouged relief Fast ice zone Ice depends on location and age Pack ice zone Bottom fast ice Floating fast ice Grounded ice zone Transition ice zone Drifting pack ice Baltic First year ridge Multi-year ridge Kara Sea Slide 4

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7 Ship Collision with distinct ice features F µ F n ma Slide 7

8 III Ship getting stuck in compressive ice Direction of ice motion Cracks in ice q = µp p Slide 8

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10 ICE LOAD MONITORING (ILM) The system to be mounted onboard contains the following items: Fibre Optic sensors to measure the strain at the frames, i.e. actual ice load. Elektro Magnetic equipment to measure the thickness of the ice at the bow. Necessary software and a computer to analyse and display measured data at bridge. Utilize meteorological and satellite data and apply these data on the electronic chart. Update the ice information continuously, important for ships operating along the same route. Slide 10

11 Helicopter Electromagnetics by AWI Slide 11

12 ILM instrumentation Radar: Wave Ice Propulsion: Power RPM MRU Engine: Power Fuel RPM Strain Sensors Slide 12

13 A functional sensor system is a combination of a light source, sensors and an analyzer that receives the optical signals from the sensors and converts them to a format suited for digital signal processing. The Light Structures FBG Analyzers are based on a scanning filter that gates the light from a broadband source. The FBGA determines the Bragg wavelength of each grating with high precision. Slide 13

14 C-map Marine Forecast Slide 14

15 ICE LOAD MONITORING (ILM) Proposed contribution and benefit for the different participants DNV Contribution: Project adm. Competence Experience from Hull Monitoring Analysis of hull capacity Benefit for DNV: Knowledge Experience Verification of calculations Maintain the position as the leading Class Society within Operation in Cold Climate. Suppliers of equipment. Contribution: Hardware Software development Installation and operation Knowledge Benefit for supplier: Build up competence Develop new products Future business Shipowner Contribution: Sponsor Operational experience Ship Benefit for owners: Trough participation in the project, contribute and learn about the system in detail Influence on the specification and development of the system Finally, more safe operation of the vessel, with optimum regularity and reduced damages Reduced number of damages = better earning Slide 15

16 Possible roles in the project Active member: - Partner in the project, member of the steering committee with influence on the project plans. - Contributes with operational expertise, funding and participates actively in part projects. - May install ILM equipment for testing onboard ship owners vessel. - Access to all results and experience Member: - Contributes with operational expertise, funding and may participate in part projects. - May install ILM equipment for testing onboard ship owners vessel. - Access to all results and experience Passive member: - Contributes with operational expertise and funding. - Access to all results and experience Slide 16

17 The ILM project (1) Three years R&D project with total budget of 7.75 million NOK (2006, 2007 and 2008) 35% from The Research Council of Norway (2.7 Million NOK) 65% from the following partners (5.05 Million NOK): - DNV - Teekay -C-MAP(manufacturer of electronic maps) - Norwegian Meteorological Institute - Light Structures - Norwegian Coastguard ( KV Svalbard, ship for installation of prototype) Slide 17

18 The ILM project (2) ILM are divided into the six work packages (WP): - WP0: Project administration - WP1: Structural Analysis - WP2: Monitoring System - WP3: Ice-metocean data - WP4: Presentation of Ice-metocean data on electronic chart - WP5: Arctic Emergency Response service (AERS) The project will run in 2006, 2007 and For further information, contact project manager: Morten Mejlaender-Larsen, DNV Phone Morten.Mejlaender-Larsen@dnv.com Slide 18

19 ILM project structure WP 0 ILM Project Manager Morten Mejlænder-Larsen DNV Steering Group Bo Cerup-Simonsen, DNV Reinert Nordtveit, Teekay Erik Pettersen, Kystvakten Karianne Pran, LS Bjørn Åge Hjøllo, C-map Marine Forcast Helge Tangen, Met.no WP 1 WP 2 WP 3 WP 4 WP 5 Structural Analyses Håvard Nyseth DNV Monitoring system Geir Sagvolden Lightstructures Ice-meteocean data Helge Tangen met.no Presentation of Ice- Metocean data on electronic charts Bjørn Åge Hjøllo -Emergency Response Service (ERS) - Clean Design Arctic C-Map Øyvind Endresen DNV WP 1.1 WP 2.1 WP 1.2 WP 1.3 Slide 19

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