soda4LCA

Process Data set: [CicloData]transport, freight, lorry 16-32 metric ton, EURO6 | Cutoff, U (en) en

Process information

Key Data Set Information
Location	CL
Geographical representativeness description	The data for road infrastructure reflect Swiss conditions. Data for vehicle operation, manufacturing and maintenance represents generic European data. Data for the vehicle disposal reflect the Swiss situation. The environmental interventions due to vehicle transport are modelled by linking the environmental interventions due to vehicle operation with impacts due to vehicle manufacturing, vehicle maintenance, vehicle disposal, road construction, operation and maintenance of roads and road disposal. So-called demand factors are used to link the transport service components to the functional unit of one tonne kilometre [tkm] (Spielmann & Scholz 2005). ;References:;Spielmann M. and Scholz R. W. (2005) Life Cycle Inventories for Transport Services - Background Data for Freight Transport. In: Int J LCA, 10(1), pp.
Reference year	2008
Name	[CicloData]transport, freight, lorry 16-32 metric ton, EURO6 \| Cutoff, U
Classification	Class name : Hierarchy level ILCD: #ECOED / #CICLODATA / Transporte de carga / Transporte en camión
General comment on data set	ecoQuery: https://ecoquery.ecoinvent.org/3.10/cutoff/dataset/11593/documentation This dataset represents the service of 1tkm freight transport in a lorry of the size class 16-32 metric tons gross vehicle weight (GVW) and Euro VI emissions class. The transport datasets refer to the entire transport life cycle i.e. to the construction, operation, maintenance and end of life of vehicle and road infrastructures. Fuel consumption and emissions are for average European journeys and load factors and not representative of a specific transport scenario. The average load factors are taken from the Tremove model v2.7b (2009) and EcoTransIT (2011) report. These are as follows:;Lorry size class Average load factor GVW ;3.5-7.5t 0.98t 4.98t ;7.5-16t 3.29t 9.29t ;16-32t 5.79t 15.79t;>32t 15.96t 29.96t;The lorry size and load factor determines the GVW and therefore also the fuel consumption and amount of both exhaust and non-exhaust emissions. Non-exhaust emissions are those resulting from tyre, brake and road wear. ;Fuel consumption and exhaust emissions are taken from v3.1 of the HBEFA model, using the data for Germany and without applying model weighting. There are a higher number of size categories used in HBEFA than in ecoinvent and so the data are grouped in order to fit the lorry size classes used in ecoinvent. The selective catalytic reduction (SCR) technology is around 3 times more common than that of exhaust gas recovery (EGR) as an emissions reduction measure and so the emission factors given in the dataset are weighted to reflect this. The data for the HBEFA categories SCR* and VI* were disregarded. The exhaust emissions caused by the burning of fuel are either fuel dependent (fuel type and quantity) or Euro class dependent. The latter reflect the emission regulations to which the vehicle complies. Regulated emissions are CO, NOx, particulate matter (PM) and total hydrocarbons (HC). Data from the Emissions Inventory Guidebook (EMEP/EEA, 2013) were used for specific exhaust emissions not covered by the HBEFA model. ;Non-exhaust emissions are accounted for as weight dependent by-products and exist as seperate datasets.;For road infrastructure the expenditures and environmental interventions due to construction of roads have been allocated based on the gross tonne kilometer performance. Expenditures due to operation of the road infrastructure, as well as land use have been allocated based on the yearly vehicle kilometer performance. The same assumption on vehicle lifetime performance has been transferred from the ecoinvent v2 datasets of 540 000 km/vehicle. The production, maintenance and disposal of the vehicle are as reported in the ecoinvent (2007) report on transport services. ;Main data sources:;De Ceuster, G., et al. (2009) TREMOVE: Final Report. Model code v2.7b, 2009. European Commission, Brussels.;Keller, M. et al. (2010) Handbook emission factors for road transport v3.1, HBEFA. INFRAS, Berne, CH. ;Knörr, W. et al. (2011) Ecological Transport Information Tool for Worldwide Transports (EcoTransIT): Methodology and data update. Berlin, Hannover, Heidelberg, DE.;Ntziachristos, L., et al. (2013) EMEP/EEA air pollutant emissions inventory guidebook 2009: Exhaust emissions from road transport. European Environment Agency, Copenhagen, DK.;Spielmann, M., et al. (2007) Transport Services. ecoinvent report No. 14., Swiss Centre for Life Cycle Inventories, Dübendorf, CH. From combustion of fuel in the engine. The dataset takes as input the infrastructure of the lorry and road network, the materials and efforts needed for maintenance of these and the fuel consumed in the vehicle for the journey. The activity ends with the transport service of 1tkm and the emissions of exhaust and non-exhaust emissions into air, water and soil.
Copyright	Yes
Quantitative reference
Reference flow(s)	transport, freight, lorry 16-32 metric ton, EURO6 - 1.0 * 1.0 tkm (Goods transport (massdistance))
Time representativeness
Data set valid until	2023
Technological representativeness
Technology description including background system	Diesel and diesel engine. Lorry transport is further differentiated with respect to vehicle weight and emission technology standard (EURO-standard). ;Technology classifications are based on those used widely within the works of the European Environment Agency, particularly in the Emissions Inventory Guidebook.

Modelling and validation

LCI method and allocation
Type of data set	Unit process, black box
LCI Method Principle	Other
Data sources, treatment and representativeness
Data treatment and extrapolations principles	none
Data source(s) used for this data set	Keller, M.2010
Sampling procedure	Literature data.
Completeness
Completeness of product model	No statement

Administrative information

Data generator
Data set generator / modeller	Andrew Simons
Data entry by
Time stamp (last saved)	2024-10-18T12:53:31.210000-03:00
Data set format(s)	ILCD format
Data entry by	Andrew Simons
Publication and ownership
UUID	13d24cff-23a5-494e-b6d6-e48da35dc1bd
Date of last revision	2024-10-17T20:25:03.968000-03:00
Data set version	00.00.014
Unchanged re-publication of	Keller, M.2010
Copyright	Yes

Inputs and Outputs

Inputs

Type of flow

Classification

Flow

Location

Mean amount

Resulting amount

Minimum amount

Maximum amount

Product flow

C:Manufacturing / 19:Manufacture of coke and refined petroleum products / 192:Manufacture of refined petroleum products / 1920:Manufacture of refined petroleum products

diesel, low-sulfur

0.036646 kg

General comment

Literature value. Derived from HBEFA database (Keller, 2010).

Product flow

C:Manufacturing / 29:Manufacture of motor vehicles, trailers and semi-trailers / 291:Manufacture of motor vehicles / 2910:Manufacture of motor vehicles

lorry, 28 metric ton

RoW

3.2E-7 Item(s)

General comment

Calculated value based on lifetime vkm (540 000 for all lorry sizes) and average load factors (see Activity Description).

Product flow

G:Wholesale and retail trade; repair of motor vehicles and motorcycles / 45:Wholesale and retail trade and repair of motor vehicles and motorcycles / 452:Maintenance and repair of motor vehicles / 4520:Maintenance and repair of motor vehicles

maintenance, lorry 28 metric ton

GLO

3.2E-7 Item(s)

General comment

Calculated value based on lifetime vkm (540 000 for all lorry sizes) and average load factors (see Activity Description).

Product flow

F:Construction / 42:Civil engineering / 421:Construction of roads and railways / 4210:Construction of roads and railways

road

GLO

0.00105 m*a

General comment

Calculated value based demand factors and underlying assumptions for European road transport services. Values are based on total tkm of all road transport services (RER) and the relative shares of each specific form (i.e. 3.5-7.5t lorry). The value per tkm is then based on the net vehicle weight plus averge load factor (see Activity Description). Transport performance data is derived from TREMOVE (2009).

Product flow

F:Construction / 42:Civil engineering / 421:Construction of roads and railways / 4210:Construction of roads and railways

road maintenance

RoW

2.23185020417881E-4 m*a

General comment

Calculated value based demand factors and underlying assumptions for European road transport services. Values are based on total vkm of all road transport services (RER) and the relative shares of each specific form (e.g. 3.5-7.5t lorry). The value per tkm is then based on the average load factor (see Activity Description). Transport performance data is derived from TREMOVE (2009).

Outputs

Type of flow

Classification

Flow

Location

Mean amount

Resulting amount

Minimum amount

Maximum amount

Product flow

H:Transportation and storage / 49:Land transport and transport via pipelines / 492:Other land transport / 4923:Freight transport by road

transport, freight, lorry 16-32 metric ton, EURO6

1.0 t*km

Waste flow

E:Water supply; sewerage, waste management and remediation activities / 38:Waste collection, treatment and disposal activities; materials recovery / 382:Waste treatment and disposal / 3821:Treatment and disposal of non-hazardous waste

brake wear emissions, lorry

GLO

2.21658341968912E-5 kg

General comment

Road freight specific non-exhaust emissions. This dataset and the emission factors within it relate to 1kg of tyre wear. In order to use the treatment of non-exhaust emissions in a transport dataset the quantity of emissions per km must be calculated. Non-exhaust emissions are considered to be linearly scalable to gross vehicle weight (GVW). For brake wear emissions from lorries the specific quantity is 8.13E-9 kg/kg GVW*km. The GVW of the 16-32t lorries using an average load factor is 15 786kg. The value calculated must then be devided by the average load to give the non-exhaust emissions per tkm.

Waste flow

road wear emissions, lorry

GLO

1.90849740932642E-5 kg

General comment

Road freight specific non-exhaust emissions. This dataset and the emission factors within it relate to 1kg of tyre wear. In order to use the treatment of non-exhaust emissions in a transport dataset the quantity of emissions per km must be calculated. Non-exhaust emissions are considered to be linearly scalable to gross vehicle weight (GVW). For road wear emissions due to lorries the specific quantity is 7.0E-9 kg/kg GVW*km. The GVW of the 16-32t lorries using an average load factor is 15 786kg. The value calculated must then be devided by the average load to give the non-exhaust emissions per tkm.

Waste flow

tyre wear emissions, lorry

GLO

2.19613523316062E-4 kg

General comment

Road freight specific non-exhaust emissions. This dataset and the emission factors within it relate to 1kg of tyre wear. In order to use the treatment of non-exhaust emissions in a transport dataset the quantity of emissions per km must be calculated. Non-exhaust emissions are considered to be linearly scalable to gross vehicle weight (GVW). For tyre wear emissions from lorries the specific quantity is 8.055E-8 kg/kg GVW*km. The GVW of the 16-32t lorries using an average load factor is 15 786kg. The value calculated must then be devided by the average load to give the non-exhaust emissions per tkm.

Elementary flow