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Your Road to Net Zero
May 2023
www.arxax.com
The role of Open Data Hub
in decarbonising the Brenner Pass
Elizabeth McNamara, Arxax Srl
Established in March 2021
Headquartered in NOI
Techpark, Bozen (IT)
Team of IT, logisitcs, data
science, transport
modellers and software
development experts
Digital solution provider
to accelerate green
transition in transport &
logistics
Why Brenner Corridor
Pilot Project - Brenner Pass (2021/22)
Where it all started
2023 2030 2035 2040
100%
75%
50%
25%
0%
-45%
-65%
-90%
EU Emissions Targets for HGVs
Transition Barriers
Cost of Electric and FCEV trucks
Insufficient infrastructure
Insufficient energy supply
35%
Fuel Costs
€2.5m / year for 50 truck fleet
Asset utilisation rate
- ROI - high capex
need to ensure demand for the assets
21,000
2020 2050
Number of Refuelling Station in Italy
-43% (EU Statistics)
Telematics and GPS tell a story
Truck Owner Operator - Optimal Refuelling Locations
Fuel Station owner / Operator - Best use of current and future assets
So, how can a 45% reduction in emissions
be achieved within 7 years?
Securing the demand for green vectors
De-risking of infrastuture build
Cost effective refuelling for transporation companies
Adding Value
Bringing the pieces of
the puzzle together
Vehicle types - Heavy Duty Vehicles
Vectors - H2, Electric, BioLNG, HVO and E-fuel energy demand
Geographic Location: Munich to Modena / Milan
The Potential of
Alternative Fuel Technologies
on the Brenner Axis Corridor
Quantifying fuel demand potential on the Brenner Axis Corridor
and idenfitication of key refuelling asset locations
H2 Biofuels
BioLNG / HVO
Electric
Diesel
OD Matrices
Market Data
Market Levers
TAM
Meta view of freight demand
layered with market data
and market levers
which will influence rollout
Demand prediction based on
unique characteristics of fuel vector
influencing future fuel demand
Total Available Market for Conversion
Methodology
Busiest Alpine Corridor
2.5m crossings a year - c. 40m tonnes of goods
Vast catchment area
60% OD in Germany
Primary data sources
Austrian CAFT surveys - freight traffic passing through 12
Austrian Alpine crossings (BMK, 2022)
Open Data Hub - Autostrada del Brennero
Other
HGVs on the Brenner
*based on the 90 zone system adopted by Arxax for the O-D matrix calcuation
OD Matrices
Open Data Hub
Access to data from multiple
location on the A22
density
speed
no. of vehicles
Traffic - heavy duty vehicles
Open Data Hub
Data aggregated at every 600 seconds
Into Demand
Total Available Market
*note - results here are for example purposes and would not be applicable to this project.
Identification of the optimal locations for
green technologies
Determine fuel demand based on BIG Data
Fuel
demand
analytics
Fuel
prediction
analytics
Fuel
re-
direction
We use BIG data, smart digitalisation and IoT
to solve complex, multidimensional questions around
fuel demand and the green transition
Key = Fuel Demand
coming soon!
Predict fuel demand using proprietary algorithm
Contact Us
contact@arxax.com
www.arxax.com
Your Road to Net Zero

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Open Data Hub - Elizabeth Mc Namara - Arxax - The role of Open Data Hub in decarbonising Brenner Pass

  • 1. Your Road to Net Zero May 2023 www.arxax.com
  • 2. The role of Open Data Hub in decarbonising the Brenner Pass Elizabeth McNamara, Arxax Srl
  • 3. Established in March 2021 Headquartered in NOI Techpark, Bozen (IT) Team of IT, logisitcs, data science, transport modellers and software development experts Digital solution provider to accelerate green transition in transport & logistics
  • 5. Pilot Project - Brenner Pass (2021/22) Where it all started
  • 6. 2023 2030 2035 2040 100% 75% 50% 25% 0% -45% -65% -90% EU Emissions Targets for HGVs Transition Barriers Cost of Electric and FCEV trucks Insufficient infrastructure Insufficient energy supply 35% Fuel Costs €2.5m / year for 50 truck fleet
  • 7. Asset utilisation rate - ROI - high capex need to ensure demand for the assets 21,000 2020 2050 Number of Refuelling Station in Italy -43% (EU Statistics)
  • 8. Telematics and GPS tell a story Truck Owner Operator - Optimal Refuelling Locations Fuel Station owner / Operator - Best use of current and future assets
  • 9. So, how can a 45% reduction in emissions be achieved within 7 years? Securing the demand for green vectors De-risking of infrastuture build Cost effective refuelling for transporation companies
  • 10. Adding Value Bringing the pieces of the puzzle together
  • 11. Vehicle types - Heavy Duty Vehicles Vectors - H2, Electric, BioLNG, HVO and E-fuel energy demand Geographic Location: Munich to Modena / Milan The Potential of Alternative Fuel Technologies on the Brenner Axis Corridor Quantifying fuel demand potential on the Brenner Axis Corridor and idenfitication of key refuelling asset locations
  • 12. H2 Biofuels BioLNG / HVO Electric Diesel OD Matrices Market Data Market Levers TAM Meta view of freight demand layered with market data and market levers which will influence rollout Demand prediction based on unique characteristics of fuel vector influencing future fuel demand Total Available Market for Conversion Methodology
  • 13. Busiest Alpine Corridor 2.5m crossings a year - c. 40m tonnes of goods Vast catchment area 60% OD in Germany Primary data sources Austrian CAFT surveys - freight traffic passing through 12 Austrian Alpine crossings (BMK, 2022) Open Data Hub - Autostrada del Brennero Other HGVs on the Brenner *based on the 90 zone system adopted by Arxax for the O-D matrix calcuation OD Matrices
  • 14. Open Data Hub Access to data from multiple location on the A22 density speed no. of vehicles Traffic - heavy duty vehicles
  • 15. Open Data Hub Data aggregated at every 600 seconds
  • 16. Into Demand Total Available Market *note - results here are for example purposes and would not be applicable to this project.
  • 17. Identification of the optimal locations for green technologies Determine fuel demand based on BIG Data Fuel demand analytics Fuel prediction analytics Fuel re- direction We use BIG data, smart digitalisation and IoT to solve complex, multidimensional questions around fuel demand and the green transition Key = Fuel Demand coming soon! Predict fuel demand using proprietary algorithm