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Insights from Irish Energy Systems Modelling on Decarbonising
Road Freight and the Impact of Intangible Costs
Dr Vahid Aryanpur & Dr Fionn Rogan
Energy Policy and Modelling Group
MaREI, SFI Centre for Energy, Climate, and Marine, University College Cork, Ireland
Trucks: Emissions & Demand
❑ CO2 emissions during 1990 to 2021 have risen by 115%
❑ Transport sector is responsible for 34% of energy-related CO2 emissions
❑ Trucks generate 20% of transport emissions
❑ Trucks make up 5% of total road vehicle stock
❑ The overall freight demand is expected to double by 2050
1
meet increasing demand while minimising environmental impacts
Decarbonising trucks
❑ Barriers
▪ Alternative fuel availability
▪ Recharging/refuelling time
▪ Decreased cargo capacity
▪ Capital-intensive infrastructures
▪ Well-to-wheel emissions
▪ Less commercialised technologies
▪ Hesitancy to invest in a less mature technology
2
ICEs
BEVs
FCVs
Need for a comprehensive Energy System Analysis
3
TIMES-Ireland Model (TIM)
Energy Service
Demands
Transport
• Passenger (pkm)
• Freight (tkm)
• Others (PJ)
Other sectors
• Space heating
• Hot water
• Lighting
• Electricity
• Cooking
• Refrigeration
• Industries
• Others
End-use
Technologies
Transport
• Active modes
• Car fleet
• Trucks
• Bus
• Train
• Others
Other sectors
• Residential
• Industry
• Service
• Agriculture
Macroeconomic
drivers
(population,
GDP,
floor
area,
…)
Demand-side Module
Resources and
Potentials
Power
Generation
Module
Onshore Wind
Offshore Wind
Coal-Fired
Gas-Fired
Biogas-Fired
Hydropower
Steam Turbine
Solar PV
Fossil fuel
• Oil
• Gas
• Coal
Imports
• Electricity
• Oil products
• Biofuels
• Natural gas
Fuel Supply
Module
Biogas
Oil products
Natural gas
Liquid Biofuels
Hydrogen
• Renewable
• Wind
• Hydro
• Solar
• Biomass
Distribution
• Electricity
• Oil products
• Biofuels
• Natural gas
Future
fuel
and
technology
prices,
constraints,
policies,
…
CCS
(Gas/Biomass)
Supply-side Module
Legend Exogenous input Energy carriers Emission flow
Carbon Budget
CO2 Constraint
Emission Control Module
Direct Air Carbon
Capture & Storage
CO2 Removal
4
Freight sector and main input
Diesel
Bio-diesel
CNG
Bio-CNG
Hydrogen
Electricity
Transport Fuels
Demand (PJ)
Demand
(tkm)
LNG
Goods
Vehicles
Existing fleet
Light Trucks (2-5 t)
ICEs
Medium Trucks (5-10 t)
ICEs
Heavy Trucks (>10 t)
ICEs
Alternative options
Light Trucks (2-5 t)
ICEs, HEVs, PHEVs
BEVs, FCVs
Medium Trucks (5-10 t)
ICEs, HEVs, BEVs
FCVs
Heavy Trucks (>10 t)
ICEs, HEVs, BEVs
FCVs
Intangible costs
Recharging time
Cargo capacity
Hurdle rates
• Existing trucks
Fleet composition
Fuel economy
Retirement profile
Activities
• New trucks
Drivetrain capital costs
O&M costs
Load factor
Lifetime
Annual mileage
Retirement profile
Supply-side Module
Emission Control
Module
Road Freight Sector
Techno-economic
parameters
Rest of Demand-side
Module
5
Cargo capacity and refuelling time
Technology
Cargo capacity relative to
diesel ICE
Refueling time multipliers
2020 2050 2020 2050
ICEs (CNG) 0.99 0.99 1.2 1.1
BEVs 0.67 0.89 8 2
FCVs 0.9 0.96 1.2 1.1
Source: Lajevardi SM, Axsen J, Crawford C. Simulating competition among heavy-duty zero-emissions vehicles under different infrastructure
conditions. Transportation Research Part D: Transport and Environment. 2022 May 1;106:103254.
https://www.sciencedirect.com/science/article/pii/S1361920922000840?via%3Dihub#f0005
8 ton to 5.4 ton ~50k to 36k (km/yr)
6
Discount rate
12%
11%
10% 10%
4%
BPIE EU-TIMES PRIMES EU
Commission
Public sector
(Ireland)
❑ Social DR: 4%
❑ EU Range: 10-12%
❑ Ireland: 12%
▪ High levels of competition
▪ Low profit margins
▪ Volatile fuel prices
▪ Suggest a higher rate of
return for investors
7
Scenario definition
❑ Reference
❑ Net zero by 2050
❑ Net zero + Intangible costs
Scenarios BAU
Carbon budget
constraint
Intangible costs
Recharging time Cargo capacity Hurdle rate (12%)
Reference ✓
Mitigation ✓ ✓
Mitigation+ Intangible ✓ ✓ ✓ ✓ ✓
8
Results: Vehicle stock
ICEs HEVs PHEVs BEVs FCVs ZEVs (%)
Heavy Trucks (over 10 tonne) Medium Trucks (5 - 10 tonne) Small Trucks (2 - 5 tonne)
Net
zero
+
Intangible
costs
Net
zero
Reference
0
20
40
60
80
100
0
10
20
30
40
50
60
2020 2025 2030 2035 2040 2045 2050
ZEVs
(%)
Stock
(kVehicles)
0
20
40
60
80
100
0
10
20
30
40
50
60
2020 2025 2030 2035 2040 2045 2050
ZEVs
(%)
Stock
(kVehicles)
0
20
40
60
80
100
0
10
20
30
40
50
60
70
2020 2025 2030 2035 2040 2045 2050
ZEVs
(%)
Stock
(kVehicles)
0
20
40
60
80
100
0
5
10
15
20
25
30
2020 2025 2030 2035 2040 2045 2050
ZEVs
(%)
Stock
(kVehicles)
0
20
40
60
80
100
0
5
10
15
20
25
30
2020 2025 2030 2035 2040 2045 2050
ZEVs
(%)
Stock
(kVehicles)
0
20
40
60
80
100
0
5
10
15
20
25
30
35
2020 2025 2030 2035 2040 2045 2050
ZEVs
(%)
Stock
(kVehicles)
0
20
40
60
80
100
0
50
100
150
200
250
2020 2025 2030 2035 2040 2045 2050
ZEVs
(%)
Stock
(kVehicles)
0
20
40
60
80
100
0
50
100
150
200
250
2020 2025 2030 2035 2040 2045 2050
ZEVs
(%)
Stock
(kVehicles)
0
20
40
60
80
100
0
50
100
150
200
250
2020 2025 2030 2035 2040 2045 2050
ZEVs
(%)
Stock
(kVehicles)
Diesel Biodiesel Gas Electricity Hydrogen ZEF (%)
0
20
40
60
80
100
0
15
30
45
60
75
90
2020 2025 2030 2035 2040 2045 2050
ZEF
(%)
Fuel
consumption
(PJ)
Reference
0
20
40
60
80
100
0
15
30
45
60
75
90
2020 2025 2030 2035 2040 2045 2050
ZEF
(%)
Fuel
consumption
(PJ)
Net zero
0
20
40
60
80
100
0
15
30
45
60
75
90
2020 2025 2030 2035 2040 2045 2050
ZEF
(%)
Fuel
consumption
(PJ)
Net zero+Intangible
14.2
16.7
11.1
12.1
14.0
9.0
8.6
0 5 10 15 20
Net zero+Intangible
Net zero
Reference
Net zero+Intangible
Net zero
Reference
Current value
2050
2040
2020 Average fuel economy (tkm/lde)
9
Fuel consumption
10
CO2 emissions
0
1
2
3
4
5
6
2020 2025 2030 2035 2040 2045 2050
CO
2
emissions
(million
ton)
Reference
Light trucks Medium trucks Heavy trucks
0
1
2
3
4
5
6
2020 2025 2030 2035 2040 2045 2050
CO
2
emissions
(million
ton)
Net zero
Light trucks Medium trucks Heavy trucks
0
1
2
3
4
5
6
2020 2025 2030 2035 2040 2045 2050
CO
2
emissions
(million
ton)
Net zero+Intangible
Light trucks Medium trucks Heavy trucks
0.24
0.03
197
117
61
255
201
0 100 200 300
Net zero+Intangible
Net zero
Reference
Net zero+Intangible
Net zero
Reference
Current value
2050
2040
2020
Average CO2 emissions (gCO2/tkm)
Key takeaways
▪ Cargo capacity, refuelling time, and hurdle rates can significantly change the
results between electrification & hydrogen FCV
▪ Intangible costs impact preference
▪ Hydrogen FCV may be favoured for medium and heavy trucks
▪ BEVs are preferred without considering intangible costs
▪ Importance of holistic evaluation: Policy makers and stakeholders should
consider both tangible & intangible factors for effective decarbonisation strategies
11
Future research
❑ Sensitivity analysis to further refine results
❑ The impact of driving range
❑ Infrastructure considerations (H2, EVSE)
❑ Technology readiness of zero emission trucks
❑ Series-production (manufacturing readiness)
12
Thanks for listening!

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Insights from Irish Energy Systems Modelling on Decarbonising Road Freight and the Impact of Intangible Costs

  • 1. Insights from Irish Energy Systems Modelling on Decarbonising Road Freight and the Impact of Intangible Costs Dr Vahid Aryanpur & Dr Fionn Rogan Energy Policy and Modelling Group MaREI, SFI Centre for Energy, Climate, and Marine, University College Cork, Ireland
  • 2. Trucks: Emissions & Demand ❑ CO2 emissions during 1990 to 2021 have risen by 115% ❑ Transport sector is responsible for 34% of energy-related CO2 emissions ❑ Trucks generate 20% of transport emissions ❑ Trucks make up 5% of total road vehicle stock ❑ The overall freight demand is expected to double by 2050 1 meet increasing demand while minimising environmental impacts
  • 3. Decarbonising trucks ❑ Barriers ▪ Alternative fuel availability ▪ Recharging/refuelling time ▪ Decreased cargo capacity ▪ Capital-intensive infrastructures ▪ Well-to-wheel emissions ▪ Less commercialised technologies ▪ Hesitancy to invest in a less mature technology 2 ICEs BEVs FCVs Need for a comprehensive Energy System Analysis
  • 4. 3 TIMES-Ireland Model (TIM) Energy Service Demands Transport • Passenger (pkm) • Freight (tkm) • Others (PJ) Other sectors • Space heating • Hot water • Lighting • Electricity • Cooking • Refrigeration • Industries • Others End-use Technologies Transport • Active modes • Car fleet • Trucks • Bus • Train • Others Other sectors • Residential • Industry • Service • Agriculture Macroeconomic drivers (population, GDP, floor area, …) Demand-side Module Resources and Potentials Power Generation Module Onshore Wind Offshore Wind Coal-Fired Gas-Fired Biogas-Fired Hydropower Steam Turbine Solar PV Fossil fuel • Oil • Gas • Coal Imports • Electricity • Oil products • Biofuels • Natural gas Fuel Supply Module Biogas Oil products Natural gas Liquid Biofuels Hydrogen • Renewable • Wind • Hydro • Solar • Biomass Distribution • Electricity • Oil products • Biofuels • Natural gas Future fuel and technology prices, constraints, policies, … CCS (Gas/Biomass) Supply-side Module Legend Exogenous input Energy carriers Emission flow Carbon Budget CO2 Constraint Emission Control Module Direct Air Carbon Capture & Storage CO2 Removal
  • 5. 4 Freight sector and main input Diesel Bio-diesel CNG Bio-CNG Hydrogen Electricity Transport Fuels Demand (PJ) Demand (tkm) LNG Goods Vehicles Existing fleet Light Trucks (2-5 t) ICEs Medium Trucks (5-10 t) ICEs Heavy Trucks (>10 t) ICEs Alternative options Light Trucks (2-5 t) ICEs, HEVs, PHEVs BEVs, FCVs Medium Trucks (5-10 t) ICEs, HEVs, BEVs FCVs Heavy Trucks (>10 t) ICEs, HEVs, BEVs FCVs Intangible costs Recharging time Cargo capacity Hurdle rates • Existing trucks Fleet composition Fuel economy Retirement profile Activities • New trucks Drivetrain capital costs O&M costs Load factor Lifetime Annual mileage Retirement profile Supply-side Module Emission Control Module Road Freight Sector Techno-economic parameters Rest of Demand-side Module
  • 6. 5 Cargo capacity and refuelling time Technology Cargo capacity relative to diesel ICE Refueling time multipliers 2020 2050 2020 2050 ICEs (CNG) 0.99 0.99 1.2 1.1 BEVs 0.67 0.89 8 2 FCVs 0.9 0.96 1.2 1.1 Source: Lajevardi SM, Axsen J, Crawford C. Simulating competition among heavy-duty zero-emissions vehicles under different infrastructure conditions. Transportation Research Part D: Transport and Environment. 2022 May 1;106:103254. https://www.sciencedirect.com/science/article/pii/S1361920922000840?via%3Dihub#f0005 8 ton to 5.4 ton ~50k to 36k (km/yr)
  • 7. 6 Discount rate 12% 11% 10% 10% 4% BPIE EU-TIMES PRIMES EU Commission Public sector (Ireland) ❑ Social DR: 4% ❑ EU Range: 10-12% ❑ Ireland: 12% ▪ High levels of competition ▪ Low profit margins ▪ Volatile fuel prices ▪ Suggest a higher rate of return for investors
  • 8. 7 Scenario definition ❑ Reference ❑ Net zero by 2050 ❑ Net zero + Intangible costs Scenarios BAU Carbon budget constraint Intangible costs Recharging time Cargo capacity Hurdle rate (12%) Reference ✓ Mitigation ✓ ✓ Mitigation+ Intangible ✓ ✓ ✓ ✓ ✓
  • 9. 8 Results: Vehicle stock ICEs HEVs PHEVs BEVs FCVs ZEVs (%) Heavy Trucks (over 10 tonne) Medium Trucks (5 - 10 tonne) Small Trucks (2 - 5 tonne) Net zero + Intangible costs Net zero Reference 0 20 40 60 80 100 0 10 20 30 40 50 60 2020 2025 2030 2035 2040 2045 2050 ZEVs (%) Stock (kVehicles) 0 20 40 60 80 100 0 10 20 30 40 50 60 2020 2025 2030 2035 2040 2045 2050 ZEVs (%) Stock (kVehicles) 0 20 40 60 80 100 0 10 20 30 40 50 60 70 2020 2025 2030 2035 2040 2045 2050 ZEVs (%) Stock (kVehicles) 0 20 40 60 80 100 0 5 10 15 20 25 30 2020 2025 2030 2035 2040 2045 2050 ZEVs (%) Stock (kVehicles) 0 20 40 60 80 100 0 5 10 15 20 25 30 2020 2025 2030 2035 2040 2045 2050 ZEVs (%) Stock (kVehicles) 0 20 40 60 80 100 0 5 10 15 20 25 30 35 2020 2025 2030 2035 2040 2045 2050 ZEVs (%) Stock (kVehicles) 0 20 40 60 80 100 0 50 100 150 200 250 2020 2025 2030 2035 2040 2045 2050 ZEVs (%) Stock (kVehicles) 0 20 40 60 80 100 0 50 100 150 200 250 2020 2025 2030 2035 2040 2045 2050 ZEVs (%) Stock (kVehicles) 0 20 40 60 80 100 0 50 100 150 200 250 2020 2025 2030 2035 2040 2045 2050 ZEVs (%) Stock (kVehicles)
  • 10. Diesel Biodiesel Gas Electricity Hydrogen ZEF (%) 0 20 40 60 80 100 0 15 30 45 60 75 90 2020 2025 2030 2035 2040 2045 2050 ZEF (%) Fuel consumption (PJ) Reference 0 20 40 60 80 100 0 15 30 45 60 75 90 2020 2025 2030 2035 2040 2045 2050 ZEF (%) Fuel consumption (PJ) Net zero 0 20 40 60 80 100 0 15 30 45 60 75 90 2020 2025 2030 2035 2040 2045 2050 ZEF (%) Fuel consumption (PJ) Net zero+Intangible 14.2 16.7 11.1 12.1 14.0 9.0 8.6 0 5 10 15 20 Net zero+Intangible Net zero Reference Net zero+Intangible Net zero Reference Current value 2050 2040 2020 Average fuel economy (tkm/lde) 9 Fuel consumption
  • 11. 10 CO2 emissions 0 1 2 3 4 5 6 2020 2025 2030 2035 2040 2045 2050 CO 2 emissions (million ton) Reference Light trucks Medium trucks Heavy trucks 0 1 2 3 4 5 6 2020 2025 2030 2035 2040 2045 2050 CO 2 emissions (million ton) Net zero Light trucks Medium trucks Heavy trucks 0 1 2 3 4 5 6 2020 2025 2030 2035 2040 2045 2050 CO 2 emissions (million ton) Net zero+Intangible Light trucks Medium trucks Heavy trucks 0.24 0.03 197 117 61 255 201 0 100 200 300 Net zero+Intangible Net zero Reference Net zero+Intangible Net zero Reference Current value 2050 2040 2020 Average CO2 emissions (gCO2/tkm)
  • 12. Key takeaways ▪ Cargo capacity, refuelling time, and hurdle rates can significantly change the results between electrification & hydrogen FCV ▪ Intangible costs impact preference ▪ Hydrogen FCV may be favoured for medium and heavy trucks ▪ BEVs are preferred without considering intangible costs ▪ Importance of holistic evaluation: Policy makers and stakeholders should consider both tangible & intangible factors for effective decarbonisation strategies 11
  • 13. Future research ❑ Sensitivity analysis to further refine results ❑ The impact of driving range ❑ Infrastructure considerations (H2, EVSE) ❑ Technology readiness of zero emission trucks ❑ Series-production (manufacturing readiness) 12