DTU Maritime Research Projects

Transcription

1 DTU Maritime Research Projects The Maritime Researchers Day 28 May 2013 Copenhagen Business School 6/24/2013

2 Ongoing Maritime Research Projects - 9 projects at 4 departments Title Project owner Department Enerplan II Liner Shipping Network Design Professor David Pisinger DTU Management Engineering Strategic simulation Post doc Mette Sanne Hansen DTU Management Engineering Routing and scheduling of tramp ships Innovation in Networks Development product/service systems in new maritime business areas Decision support systems for ships Slamming and whipping analysis of ships PhD candidate Charlotte Vilhelmsen Ass. Professor Zoran Perunovic Professor Tim C. McAloone PhD candidate Ingrid Marie Vincent Andersen PhD candidate Sopheak Seng DTU Management Engineering DTU Business DTU Mechanical Engineering DTU Mechanical Engineering DTU Mechanical Engineering Collaborative Logistics Professor Oli Madsen DTU Transport Flue gas cleaning on ships Professor Rasmus Fehrmann DTU Chemistry 2 24 June 2013

3 Maritime Research at DTU Management Engineering David Pisinger, Professor, head of division /24/2013

4 Our chosen project to present today

5 Competitive Liner Shipping Network Design Running network largest expense Decision support tool for network design 3-year postdoc (Berit Brouer) started Feb DTU co-finance PhD (Cristian Vad Karsten) 5 24 June 2013

6 Vision Well-designed network: match demands, correct capacity, correct speed, fast transit times

7 ENERPLAN Energy Efficient Transportation Planning Supported by Danish Council for Strategic Research (green IT) , 2 PhD + 2 Postdocs - Network Design - Stowage - Disruption management - Combined land and sea transportation More than 15 ISI papers published Similar amount conference papers Among 3-4 leading groups in maritime optimization Benchmark suite, domain description

8 ENERPLAN projects Disruption Management Stowage

9 Competitive Network Design Transportation times Number of transhipments Empty container repositioning 9 24 June 2013

10 Economy and environment go hand in hand Difficult to regulate CO2 emission from international trade Difficult to motivate end users Optimization: Run network more efficiently Move transportation from land to sea June 2013

11 Strategic Simulation innovative strategy development and risk management Mette Sanne Hansen, Postdoc NARRATIVE SIMULATION NUMERICAL SIMULATION S 1 INPUT A OUTPUT S 3 S 2 B X S 4 S 5 C D Y Z The interaction between narrative and numerical simulation as a practical tool for strategy development and risk management across the different layers of an organisation 11

12 Routing and scheduling of tramp ships PhD project by Charlotte Vilhelmsen Background Tramp ships operate like taxies following available cargoes Operators often have contract cargoes that must be carried and seek to maximise profit from optional cargoes The problem: Routing and scheduling Which cargoes to carry On which ship to carry which cargoes In which order to serve cargoes What time to pickup/discharge each cargo Large fleets make manual planning inefficient Overall goal Develop advanced mathematical models and use Operations Research techniques to efficiently route and schedule tramp ships Incorporate operational aspects, e.g. refueling, speed selection and stowage to achieve input on both tactical and operational levels

13 Innovation in networks in the maritime industry How collaboration for innovation creates business value for the maritime industry By Zoran Perunovic, Mads Christoffersen and Sofia Fürstenberg Objectives To determine the key enablers, barriers, and mechanisms of innovation in networks in the maritime industry To identify the key characteristics of collaborative innovation processes applied in the maritime industry To determine managerial actions to be undertaken to organize for successful innovation in networks

14 Maritime Research at DTU Mechanical Engineering Tim C. McAloone 6/24/2013

15 Our chosen project to present today

16 Background: Challenge to be addressed Why be concerned about product and service? Personal computers annual cost of use: $6,259 Locomotives annual operation costs: $29 bio. Ship annual operation costs:??? MARITME OBSERVATIONS: 100% 80% 60% 40% 20% 0% network administration network technical support network equipment non-productive operations by enduser (downtime, file management etc.) administration technical support desktop hardware total expenditure: 5 x product costs product s e r v i c e yard operations, railway administration, etc. train operations infrastructure freight car services locomotive services locomotives total expenditure: 21 x product costs decomissioning unforseen breakdowns cargo-related systems aux. motor main motor fuel Ship total expenditure:?? x product costs Illustrative sketch only Many Danish maritime companies currently operating after-sales service, but at a cost/no profit Service still the key to more product sales, in a world where the opposite is dominating No systematic service development examples How to create a servicebased business model? How to organise the company for service? [after Wise & Baumgartner, HBR, 1999]

17 Research question How can PSS aid the maritime branch? A generic framework for PSS design Four basic elements need designing: Design for service: Design for Maintenance Design for Upgrade Design for (Remote) Monitoring Design for Reuse Design for Replacement Design for Longevity PSS design Based on a full customer activity understanding through own data, plus development of own competencies Existing infrastructure utilised, plus new infrastructure developed Expanded set of stakeholders must be involved

18 Presentation title The PROTEUS Innovation Click to edit Master Consortium Partners title style Plus: DTU (project leader) CBS IPU 18

19 Presentation title The PROTEUS research Click to edit Master model and resources title style Tim McAloone Professor DTU Jakob Bejbro Andersen PhD Student PSS business models and entrepreneurship Juliana Hsuan Professor CBS Thorkild Ahm Division Manager IPU Product Development Krestine Mougaard PhD Student Networked-based PSS development 10 Case studies within ten companies Timeframe: Jan 2010 Dec 2013 Total budget: 18,5 mio. kr. 8,0 mio. FI 8,0 mio. Companies in-kind 1,7 mio. DDMF 0,8 mio. DTU MEK Line Neugebauer PhD Student Organisation for PSS delivery 19 Adrià Garcia i Matieu Research Assistant PSS concepts

20 Presentation title Research results: Click to edit Master Mapping of current PSS offerings to title customers style [McAloone & Tan, 2010] Areas of current focus: Condition monitoring Retrofit products Upgrade/reconditioning IT/management systems Proactive contact Education/training Service agreements Management of maintenance activities 20 [Measured in 2010]

21 PSS elements in the Danish Presentation maritime title branch Research results: Click to edit Master The offerings title style #2 #1

22 PSS elements in the Danish Presentation maritime title branch Research results: Click to edit Master Package solutions title style #1 Emerson: Marine Tank Management Other examples: Novenco FF: Fire Fighting systems MAN Diesel & Turbo: Propulsion package

23 PSS elements in the Danish Presentation maritime title branch Research results: Click to edit Master Academy title style #2 PrimeServ Frederikshavn - Academy Other examples: PresVac: Training of technicians to become certified Hempel: Selling courses, also to competitors Lloyds: Technical courses

24 PSS elements in the Danish Presentation maritime title branch Research results: Mapping new PSS Click to edit Master Upgradable services + proactive contact title style Service agreements + product/service packages Performance + financing coupon service

25 Click to edit Master Roll-out over next 12 months Presentation title Dissemination of results: Workbook series launched title style 25

26 Maritime Research at DTU Transport Oli B.G. Madsen, Professor, dr.techn. Together with Rune Larsen, Hanne L. Petersen, Stefan Røpke (DTU Management Engineering), Min Wen 6/24/2013

27 Collaborative Logistics in Shipping Background Many shipping pools are operated from Denmark Shipping pools result in: Better use of resources Larger network Higher frequencies Better customer service More competitiveness Profit and use of resources is often distributed based on a point system Inspiration from for example: Airlines (code sharing) Trains (joint ticket system) DTU Transport

28 Collaborative Logistics in Shipping Project Partners and time frame DTU Transport Hafnia Management Maersk Line Nordic Tankers (2.5 years) DTU Transport

29 Collaborative Logistics in Shipping Purpose of project Examining the opportunities for improving horizontal cooperation Investigating an alternative to a point system Applying different profit sharing methods Implementing algorithms for calculating and evaluating the different methods Developing a software prototype with a simulator module DTU Transport

30 Collaborative Logistics in Shipping Overall system developed DTU Transport

31 Collaborative Logistics in Shipping Test examples orders 64 product tankers 2 6 months time horizon Variable speed in the interval knots (the model decides) DTU Transport

32 Collaborative Logistics in Shipping Gantt Chart showing results from the tanker planner Unloading ship Waiting Loading ship Sailing with cargo Waiting Order ID 2 months Hours DTU Transport

33 Collaborative Logistics in Shipping Expected results and impact Results A survey of the literature on collaborative logistics Models for collaborative logistics in shipping Prototype software for collaborative logistics in shipping Tests on data from a product tanker pool Impact Potential savings in the operation of a shipping pool Improvement of the competitiveness of Danish pool operators Danish pool operators will be first movers DTU Transport

34 Maritime Research at DTU Chemical Engineering Rasmus Fehrmann, Professor Together with Andreas J. Kunov- Kruse, Peter Thomassen, Susanne L. Mossin, Anders Teilgaard Madsen, Søren Birk Rasmussen, Anders Riisager 6/24/2013

35 NO absorbing Ionic liquids Common cations Common anions Physical melting point no vp conductivity thermal stability viscosity polarity Ionic liqui d Chemical acidity coordination ability solubility properties toxicity redox stability Applications!

36 SILP Gas Absorbers Supported Ionic Liquid-Phase Absorption Dispersion of ionic liquid-phase on a mesoporous high-area support Large interfacial area min. mass-transport limitation Fast gas absorption/desorption rates Patents: NO sorption in ionic liquids (24/6-2010, EP ) Absorption and oxidation of NO in ionic liquids (20/ , EP ) SO 2 sorption by supported ionic compounds (8/ , DK )

37 Flue Gas Cleaning by SILP Absorbers in Power Plants Composition of flue gas from coal-fired power plants Dilute Flue gas Concentrated SO 2 /NO/CO 2

38 Investigations of the pore filling properties of IL on MCM-41 (silica) N 2 adsorption measurement to elucidate the role of pores on the ionic liquid

39 Online measurements of capacities as a function of temperature and liquid loading 0,14 0, ppm NO C 60 C - 2.5% 60 C - 5% NO+NO 2 0,1 0,08 0,06 50 C - 10% 50 C - 20% 0,04 0, Time/minutes 1 MIN 3.25 MIN 4.75 MIN

40 Good continuous NO NO 2 catalytic oxidation at high temperature Absorption high for NO 2 and even higher for HNO 3 0,14 0,12 0, ppm NO 20 % Loading 100 C 0% 60 C - 20% 100 C - 20% NO+NO 2 0,08 0,06 0,04 0, Time/minutes

41 Proposed flue gas cleaning set-up Low volume hot air,130 C HNO 3 130/80 C Flue gas : NO, H 2 O, O 2, N C SILP 130/80 C HNO 3 NO 2, O 2, N 2 SILP SILP Cleaned flue gas : H 2 O, O 2, N 2 Cleaned flue gas : Low volume H 2 O, O 2, N 2 hot air,130 C 130/80 C HNO 3

42 Alternative flue gas cleaning set-up Cleaned air to atmosphere 80 C HNO 3 to condenser

43 Summary Kinetics for NO oxidation/diffusion controls the rate SILP catalyst works better at higher concentrations of NO and Oxygen NO oxidation activity interestingly high at higher temperatures We propose a combination of SILP catalyst and temperature swing SILP absorbtion

44 Thank you for your attention 44 6/24/2013 June 2013