Infrastructure interdependency at Operation level. Samane Faramehr Taku Fujiyama University College London 1

Transcription

1 Infrastructure interdependency at Operation level Samane Faramehr Taku Fujiyama University College London 1

2 Introduction Interdependency of Infrastructure Many studies on existing and obvious interdependencies (e.g. electricity power supplies to other infrastructure (rail)) Limited knowledge on How one system is affected by another through unexpected means How users embrace challenges and change behaviours, which leads to transformation of society Research needs Numerical tools to empower practitioners 2

3 This presentation Evaluation of dependency between urban water supply and railway: The scenario of track flooding caused by water main burst Samane Faramehr Interdependencies between power supply industry and Railways Taku Fujiyama 3

4 EVALUATION OF DEPENDENCY BETWEEN URBAN WATER SUPPLY AND RAILWAY: THE SCENARIO OF TRACK FLOODING CAUSED BY WATER MAIN BURST 4

5 Background Infrastructure systems and interdependency Normal state of operation vs disrupted state Risk management strategies Scenario of track flooding (high consequence) 5

6 Scenario and the case study Past incident: Thameslink track flooding (Jan 2015) Thameslink: between Farringdon and Kentish Town Railway track through cuts and tunnel Immature drainage asset inventory (Network Rail) Railway gradient (Network Rail) Adjacent trunk water mains (Thames Water GIS data) 6

7 Methodology Sub-scenario development Numerical simulation Hydraulic calculation Input (parameters) Ballast and local drainage Railway flooding criteria Sub-scenarios / Input Railway asset and operation Boundary Quantified results Sub-scenarios / Input Water main network 7

8 Results Rail Height= m Flat bottom standard rail (UIC54) Flood caused by trunk main burst Criteria of track flooding 8

9 Results Distance between the burst and the lowest point 9

10 Results Age of track ballast (new vs fouled ballast) 10

11 Application Railway asset and operation Railway industry Sub-scenarios / Input Risk prioritisation Boundary Quantified results Interdependency Sub-scenarios / Input City level GIS Water main network Water companies 11

12 Background Infrastructure systems and interdependency Risk management strategies Scenario of track flooding 12

13 Scenario and the case study Past incident: Thameslink track flooding (Jan 2015) Thameslink: between Farringdon and Kentish Town Railway track through cuts and tunnel Immature drainage asset inventory (Network Rail) Railway gradient (Network Rail) Adjacent major water mains (Thames Water GIS data) 13

14 Methodology Sub-scenario development Numerical simulation Hydraulic calculation Input (parameters) Ballast and local drainage Railway flooding criteria Sub-scenarios / Input Railway asset and operation Boundary Quantified results Sub-scenarios / Input Water main network 14

15 Application Railway asset and operation Railway industry Sub-scenarios / Input Risk prioritisation Boundary Quantified results Interdependency Sub-scenarios / Input City level GIS Water main network Water companies 15

16 Results Rail Height= m Flat bottom standard rail (UIC54) 16

17 INTERDEPENDENCIES BETWEEN POWER SUPPLY INDUSTRY AND RAILWAYS 17

18 Background Coal/biomass power stations concentrated in North Lincolnshire with Immingham being the major import port Critical rail section around Immingham Quantification of risk is required 18

19 Critical rail infrastructure in Critical Section 19

20 This Project Develop a Data system to capture and store of Network Rail s Data feeds (and power station outputs) Data includes Origin (time, day) Destination (time, day) Tonnage Data Analysis to understand coal/biomass flow to power stations 20

21 Results: Biomass flow Production at Drax Biomass Plants Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug Number of Biomass trains to Drax Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug-17 21

22 Results: Coal flow Production at Drax Coal Plants Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug Number of Coal trains to Drax Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug-17 22

23 Where does biomass to Drax come from? Hull Biomass LP (DBS) 10% Liverpool Biomass TML GBF 26% Immingham Biomass LP (DBS) 64% Data: Aug

24 Where does coal to Drax come from? Hull Coal Terminal (GBRF) 3% Hunterston Greenburn GBRf H.L GBRF 2% 2% Tunstead Sdgs 3% North Blyth GBRF 4% Ferrybridge Pwr Stn GBRf 11% Rylstone Tilcon (GBRf) 2% Killoch Colliery GBRf 1% Tyne Coal Terminal GBRf 36% Others 2% Immingham Humber Import Terml 34% Data: Aug

25 Conclusion UCL attempts to create numerical tools/discussions on infrastructure interdependencies Scenario development is key. Comprehensive evidence- or data-based development of scenario development Scenarios that consider (or focus on) transformation 25