Selecting low carbon technologies for increasing the efficiency of heavy goods vehicle fleets using sim heuristics

Abstract

Commercial Transportation of food for UK consumption represents around 9% of the GHGs emissions of the food chain and between 1.8% and 2.5% of all UK carbon emissions. Delivering sustainable freight is not only about reducing emissions but also doing so in a cost efficient manner. This paper proposes a sim-heuristics framework that can be used by Heavy Goods Vehicle (HGV) procurement decision makers to specify the right combination of Low Carbon Technologies that minimise the vehicle total cost of ownership. HGV manufacturers will find the approach also useful to tailor the configuration of their vehicles to the operating requirements of their customers. Policy makers also will find this framework useful as it can help them to identify the technologies with greater potential for specific sectors and focussing research and development efforts on these