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A Whole Life Carbon Model for Railway Track System Interventions Georgios Rempelos Transportation Research Group University of Southampton, Southampton, Boldrewood Innovation Campus, Burgess Road, Southampton, SO16 7QF Professor John Preston Dr Simon Blainey

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Page 1: A Whole Life Carbon Model for Railway Track System ...blog.soton.ac.uk/cdt-sis/files/2020/12/Sustainable...ISO 15686-5.2 4. CBA (+) Other Impacts 5. Sensitivity Analysis, Monte Carlo

A Whole Life Carbon Model for Railway Track System Interventions

Georgios RempelosTransportation Research GroupUniversity of Southampton, Southampton, Boldrewood Innovation Campus, Burgess Road, Southampton, SO16 7QF

Professor John PrestonDr Simon Blainey

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Outline

1. Research Motivation2. Methodology3. Case Studies4. Track interventions5. Findings [i]6. Findings [ii]7. Conclusions

2 Sustainable Futures December 11, 2020

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Research Motivation

CP6 (2018-2024) cost estimates suggest a projected expenditure of c. £7.5bil. (£4.2bil. on maintenance and renewal on plain track alone).

Annual emissions for maintaining and renewing the infrastructure are equivalent to the annual CO2 footprint of c. 75,000 to 163,000 residents of the United Kingdom (own estimates based on 2017 data).

Aim

The overall aim of this project is to develop an integrated methodology for investigating the potential for a range of novel interventions to reduce the whole life carbon footprint and LCC of ballasted track.

December 11, 2020

Sustainable Futures3

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Methodology

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Figure 1: Overview of proposed modelling methodology.

Labor atory Data or Field Data

2.a VTISM

2.b Expert Knowledge

Yes

No

Simulate Base Case & New Scenarios

Traditional Methodol ogy

3. LCI

Economic Impacts

Envi ronmental Impacts

ISO 15686-5.2

4. CBA(+) Other Impacts

5. Sensi tivi ty Analysis, Monte Carlo Si mulation, etc.

6. Interpretation & Reporti ng

1. Goal & ScopeSystem Boundary & Func tional U nits

Economic & Activ ity Data

Envi ronmental & Activ ity D ata

PAS 2050 orISO 14060 famil y or

GHG Protocol

ISO 14000famil y

PAS 2080Specification

DfT WebTAG

ISO 15686 famil y

NPV

BCR

IRR

Presenter
Presentation Notes
Laboratory element test data: UoS Infrastructure Group. Inventory Data: Bath ICE, Network Rail (e.g. NSC rates list, NR track maintenance model, price books, etc.), academic literature, manufacturers, etc. CBA, LCA and LCCA: VTISM, MS Excel and/or Python for model building data analysis.
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Case Studies

• ECML (122 mi.) & Portsmouth (Direct) Line (74 mi.).

• Tonnage: 16 & 22 EMGTPA.

• Time horizon: 60 years.

December 11, 2020

Sustainable Futures5

Sleeper interventions (with and without USP)

Mono-block Twin-block Timber Steel Composite

None USP 1 USP 2 None USP 1 USP 2 None None None

Balla

st (o

r Sub

grad

e) in

terv

entio

ns

NR ballast-Granite [C*] [C*] [C*] [N] [C*] [C*] [C] [C] [C*]

Plain Track

Track La

yout

Variant 3 [C*]

RPS [C*]

TLB [N]

Fibre Reinforced Ballast [C*]

Asphalt Underlay [N]

Geogrid wrap around [N]

None [P] [P] S&Cs

Table 1: Proposed railway track interventions. [C]: conducted, [C*]: conducted (on-going), [P]: planned, [N] excluded.

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Track interventions

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Figure 3: Novel track interventions.

Figure 2: Schematic of conventional ballasted Track.

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Findings [i]

7 Sustainable Futures December 11, 2020

Figure 4: NPV (in 2019 prices). ECML (left), Portsmouth (Direct) Line (right).

• Total Savings: 9.4-11.8% & 8.8-10.9%.• Carbon Savings: small compared to the total footprint (range from 3-5% & 7-9%).• Carbon cost savings: 4.8% to 9.4% of the financial benefits from reduced M&R activities.• £107.6-110.3 million disbenefit from the use of FFU sleepers (+ c. £671k/mile & 20% higher settlement).

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Findings [ii]

8 Sustainable Futures December 11, 2020

Figure 5: Maintenance and Renewal Accumulated Benefits. ECML (left), Portsmouth (Direct) Line (right).

• Payback period – USPs, Twin-block: 3-7 years, RFRs: 2-5 years, RPS: 2-4 years, Variant 3: 1-2 years.

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Conclusions

• The relative improvement in overall settlement in the laboratory testing was implemented into an economic and carbon model to assess the LCC and carbon implications.

• Inclusion of novel interventions at renewals brings important benefits in terms of reduced M&R needs –less material & energy used in the track.

• Track quality is also improved – better ride quality may be expected.• Soft modifications (RPS, Variant 3) to ballasted track provide higher LCC savings compared to more

radical alterations (RFRs, B450 sleepers, USPs).

• It was also shown that the inclusion of novel interventions can bring sizeable carbon footprint savings.• The welfare benefits from these modifications are small in relation to the expected financial benefits for

both routes.

9 Sustainable Futures December 11, 2020

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Thank you for your attention!

Questions ?