3. Existing technologies#

This section details data and assumptions on technical parameters of existing transport technologies, such as capital costs, efficiency, etc

3.1. Capital and operating costs#

3.1.1. Road transport#

Capital (CAPEX) and fixed operating and maintenance (FIXOM) costs for light vehicles in the model are primarily derived from EECA’s Total Cost of Ownership (TCO) Tool[1] using a curated list of top-selling models across multiple technology types and vehicle categories. Vehicles are classified by category (e.g. car, SUV, ute, van, bus, motorcycle, truck), use type (e.g. LPV, LCV, bus, motorcycle, light, medium, heavy truck), and technology (e.g. petrol ICE, diesel ICE, hybrid, plug-in hybrid, battery electric vehicle, and hydrogen fuel cell). For each representative model, key cost components are recorded, including purchase price (capital cost), servicing costs, tyre costs, and a combined per-kilometre operating cost. Truck costs are sourced from publicly available sales data where possible, as well as aggregated internal EECA data. Dual fuel heavy trucks are determined by the price of the diesel truck plus $150,000 for the dual fuel system[2]. Operating costs were assumed the same as a diesel truck.

If vehicle cost data was not available in the TCO tool, we used proxy figures from the National Renewable Energy Laboratory[3] or the Argonne National Laboratory[4]. These costs do not include battery or fuel cell replacements, which may become significant in the cost of these vehicles given we are modelling their entire lifespan.

Table 59 Vehicle capital costs (2023 NZD)#

Vehicle Type

Diesel

Diesel Hybrid

Diesel/Hydrogen

BEV

Hydrogen

LPG

Petrol

Petrol Hybrid

PHEV

LPV

53,565

48,087

69,630

60,836

37,907

42,201

52,065

LCV

56,728

54,283

70,913

148,676

70,364

60,645

62,141

75,193

Light Truck

78,244

89,981

126,271

211,896

238,692

Medium Truck

175,680

193,429

381,808

447,231

364,301

Heavy Truck

344,470

270,081

492,100

677,130

876,923

690,526

Bus

393,680

425,166

576,413

875,939

393,680

393,680

669,042

Motorcycle

8,110

4,890

Table 60 Vehicle operating and maintenance costs (2023 NZD/km)#

Vehicle Type

Diesel

Diesel Hybrid

Diesel/Hydrogen

BEV

Hydrogen

LPG

Petrol

Petrol Hybrid

PHEV

LPV

0.09

0.06

0.1

0.16

0.07

0.07

0.08

LCV

0.08

0.09

0.05

0.13

0.15

0.05

0.14

0.1

Light Truck

0.14

0.14

0.09

0.14

0.14

Medium Truck

0.18

0.18

0.11

0.18

0.18

Heavy Truck

0.18

0.18

0.11

0.18

0.18

Bus

0.18

0.18

0.11

0.18

0.85

0.85

0.18

Motorcycle

3.1.2. Shipping#

TIMES-NZ 2.0 did not include the cost of domestic and international shipping. For the 3.0 update we have used CAPEX and OPEX figures used in the Mærsk Mc-Kinney Møller Center TCO tool[5]. TIMES-NZ shipping technologies are based on Heavy fuel oil, so the most relevant category is Vessel 1 - ICE – LSFO (Low Sulfur Fuel Oil). Little reliable data has been found for alternative technologies.

Table 61 Shipping technology costs#

Vessel

2020

2025

2030

2035

2040

2045

2050

CAPEX (USD/Vessel)

4,255,140

4,255,140

4,255,140

4,255,140

4,255,140

4,255,140

4,255,140

OPEX (USD/vessel/year)

23,169,449

21,576,516

21,187,545

21,187,545

21,187,545

21,187,545

21,187,545

3.1.3. Rail#

There is also limited publicly available data for rail costs. Currently, we use data from media releases relating to the Stadler and KiwiRail contract for 57 mainline locomotives[6].

Table 62 Cost of rail (Million euros)#

Type

Fuel type

No. of locomotives

Contracted amount (million euros)

Per unit cost (million euros)

Mainline locomotives

Low-emission diesel

57

228

4

Hybrid yard shunt locomotives

Hybrid battery-diesel

24

No data publicly available

3.2. Fuel efficiency#

Fuel efficiencies for base year technologies were determined based on historical information on actual fuel consumption, from the EEUD and vehicle travel data as described above. This is described in Equation (6) and the results are listed in Table 63.

(6)#\[Fuel Efficiency = \frac{Billion Vehicle Kilometres Travelled}{PJ Fuel Used}\]
Table 63 Fuel efficiencies of existing technologies#

Type

Technology

Fuel

BVkt/PJ

L/100km

kWh/100km

kg/100km

LPV

ICE

Petrol

0.38

7.47

ICE

Diesel

0.31

8.34

ICE

LPG

0.06

ICE Hybrid

Petrol

0.53

5.34

BEV

Electricity

1.56

17.84

PHEV

Petrol

0.53

5.34

PHEV

Electricity

1.56

17.84

LCV

ICE

Petrol

0.26

10.92

ICE

Diesel

0.27

9.62

ICE

LPG

0.05

ICE Hybrid

Petrol

0.36

7.67

BEV

Electricity

1.19

23.32

Light Truck

ICE

Petrol

0.18

15.88

ICE

Diesel

0.14

18.18

BEV

Electricity

0.67

41.53

Medium truck

ICE

Diesel

0.06

44.77

BEV

Electricity

0.3

93.79

H2R

Hydrogen

0.11

7.75

Heavy truck

ICE

Diesel

0.05

55.2

BEV

Electricity

0.2

141.9

H2R

Hydrogen

0.08

10.4

Bus

ICE

Petrol

0.13

22.58

ICE

Diesel

0.08

33.19

ICE

LPG

0.02

BEV

Electricity

0.31

89.56

Motorcycle

ICE

Petrol

0.69

4.12

BEV

Electricity

2.82

9.85

Some technologies weren’t present in the data so were determined manually – for LCV Hybrids and ICE motorcycles we used the relativity in between ICE LPVs and the LPV version of their respective technology.

Hydrogen trucks used publicly claimed fuel capacities and range to determine fuel consumption. For Medium trucks the Hyundai Xcient was used[7], for Heavy trucks the GBV Semi[8].

3.3. Lifetime of transport technologies#

To reflect differences in how vehicles exit the fleet over time, we allocated the total fleet across utilisation bands, referred to as tertiles based on their initial share and their expected survival as vehicles age. Each tertile’s base share is calculated from the overall fleet and adjusted using an age-based decay factor that models the likelihood of a vehicle remaining in the fleet as it gets older. The decay factor (\(\alpha\)) is defined as:

Equation (7): Age-based decay factor

(7)#\[\alpha = 1- (\frac{Age}{Maximum Age})\]

This factor declines from 1 at age 0 to 0 at the maximum observed vehicle age.

We assume that vehicles which are used more regularly age faster. To allow for faster turnover in higher utilisation tertiles, the decay factor is raised to the power of the tertile index \(i\), resulting in the following weighting formula:

Equation (8): Utilisation weighting

(8)#\[Weight_i = Base Share_i \cdot \alpha^i\]

These weights are then normalised within each age group to preserve total fleet size while reflecting different survival patterns across tertiles. Using this weighted distribution, the scrappage age is calculated for each vehicle type and tertile. This is defined as the age by which 70% of vehicles in that group have exited the fleet, representing a higher than median estimate of fleet turnover. It reflects differences in how quickly vehicles are typically retired across segments and provides insight into the upper range of vehicle survival patterns.

Table 64 Scrappage age in years#

Category

Low

Medium

High

LPV

28.12

27.08

20.77

LCV

20.19

18.37

12.51

Bus

37.5

20.72

16.05

Motorcycle

22.48

19.87

18.23

Light Truck

38.53

34

29.39

Medium Truck

39.32

23.86

21.18

Heavy Truck

39.32

23.86

21.18

3.4. Fuel share constraints#

We apply a few constraint assumptions to some dual-fuel technologies, exogenously limiting their fuel shares to provide more realistic fuel share modelling. The model doesn’t capture all the practical considerations faced by these technologies, so these constraints are required to enforce realistic modelled behaviour. These assumptions have been extracted from TIMES-NZ 2.0.

Table 65 Fuel share constraints#

Type

Technology

Fuel

Fuel share

LPV

PHEV

Petrol

40%

PHEV

Electricity

60%

Heavy Truck

Dual Fuel

Diesel

70%

Dual Fuel

Hydrogen

30%

Passenger Rail

Electricity

79%

Diesel

21%

Freight Rail

Diesel

97%

Electricity

3%

3.5. Emission factors#

Emissions factors for each thermal fuel are sourced from the Ministry for the Environment’s Measuring Emissions Guide 2025[9]. These are all converted to kt CO2e/PJ equivalents using gross calorific values from MfE’s data for use in modelling. The electricity supply portion of the model will handle the electricity emission factor for transport electricity. The following figures are used in the model:

Table 66 Transport fuel emission factors#

Fuel

Unit

CV MJ/Unit

kg CO2e/unit

kt CO2e/PJ

Petrol

Litre

35.18

2.42

68.79

Diesel

Litre

38.49

2.68

69.63

Fuel oil

Litre

40.74

3.07

75.36

Aviation fuel

Litre

37.19

2.52

67.76

LPG

Litre

26.54

1.62

61.04