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Truck BioDiesel SH¤

Medium-Duty Truck - Short Haul Overview¤

The Medium-Duty Truck for Short-Haul operations represents a class of robust vehicles engineered for transporting substantial loads over moderate distances. These trucks are single units with more than four tires, designed with a maximum range of up to 320 km, making them ideal for regional distribution tasks.

Medium-Duty Truck Short-Haul Performance Metrics¤

  • Operational Range: Capable of covering distances up to 320 km, tailored for short-haul logistics.
  • Annual Mileage (dannual): The truck class maintains a yearly operational distance of 26,600 km.
  • Load Capacity (nlpv): With an average load capacity of 0.98 tonnes per vehicle.
  • Capacity Factor: A 10% capacity utilization factor is applied, as detailed by Schnidrig1.
  • Reference Capacity: Achieving a reference capacity of 29.76 tonne-kilometers per hour (tkm/h), these trucks are optimally configured for regional distribution networks.

The formula used to calculate the reference capacity is as follows:

\[ ref_{capacity} = \dfrac{d_{annual} \cdot n_{lpv}}{8760 \cdot 0.10} \]

This equation considers the annual distance covered, the average load capacity, and the capacity utilization rate, emphasizing the trucks’ utility and efficiency in short-haul transportation tasks.

B100 Biodiesel¤

B100 Biodiesel fuel is a diesel alternative derived entirely from biomass. It runs on 100% biodiesel, contributing to carbon emissions reductions in comparison to fossil fuels. Only blends of biodiesel and petroleum diesel containing 7% vol. or less of biodiesel can be used in diesel engines without modification. Pure biodiesel (B100) requires engine modifications to avoid maintenance and performance problems.

Model Remarks:¤

The model treats vehicles that use biodiesel and those that use traditional diesel as equivalent in technical aspects. It is worth noting that in the current version of QC EnergyScope, biodiesel is treated the same as diesel and will require modification in a future version.

ES Model Integration¤

All the parameters concerning the Truck BioDiesel SH are listed in the table below.

entry_key value unit sets source_reference
BIO_DIESEL (layer) -3.095 kWh NA Agez, Maxime; Ménard, Jean-François; Saunier, François, (2022): "Analyse du Cycle de Vie de Filières Énergétiques et de Leur Utilisation pour le Transport Routier au Québec – Partie 2 : Utilisation"
CO2_E (layer) 0.774 kg_CO2 NA Agez, Maxime; Ménard, Jean-François; Saunier, François, (2022): "Analyse du Cycle de Vie de Filières Énergétiques et de Leur Utilisation pour le Transport Routier au Québec – Partie 2 : Utilisation"
MOB_FREIGHT_ROAD (layer) 1 tkm NA Agez, Maxime; Ménard, Jean-François; Saunier, François, (2022): "Analyse du Cycle de Vie de Filières Énergétiques et de Leur Utilisation pour le Transport Routier au Québec – Partie 2 : Utilisation"
c_inv 3151.88 CAD/(tkm/h) NA Agez, Maxime; Ménard, Jean-François; Saunier, François, (2022): "Analyse du Cycle de Vie de Filières Énergétiques et de Leur Utilisation pour le Transport Routier au Québec – Partie 2 : Utilisation"
c_maint 141.4 CAD/(tkm/h)/y NA Agez, Maxime; Ménard, Jean-François; Saunier, François, (2022): "Analyse du Cycle de Vie de Filières Énergétiques et de Leur Utilisation pour le Transport Routier au Québec – Partie 2 : Utilisation"
lifetime 15 y NA Agez, Maxime; Ménard, Jean-François; Saunier, François, (2022): "Analyse du Cycle de Vie de Filières Énergétiques et de Leur Utilisation pour le Transport Routier au Québec – Partie 2 : Utilisation"
ref_size 29.76 tkm/h NA Agez, Maxime; Ménard, Jean-François; Saunier, François, (2022): "Analyse du Cycle de Vie de Filières Énergétiques et de Leur Utilisation pour le Transport Routier au Québec – Partie 2 : Utilisation"

References¤

Data Sources
Agez, Maxime; Ménard, Jean-François; Saunier, François. (2022). "Analyse du Cycle de Vie de Filières Énergétiques et de Leur Utilisation pour le Transport Routier au Québec – Partie 2 : Utilisation"

  1. Jonas Schnidrig, “Assessment of Green Mobility Scenarios on European Energy Systems” (EPFL, 2020). ↩