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
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
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
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