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

Selecting low carbon technologies for increasing the efficiency of heavy goods vehicle fleets using sim heuristics
Selecting low carbon technologies for increasing the efficiency of heavy goods vehicle fleets using sim heuristics
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.
Velazquez Abad, Anthony
da7e985d-f164-43ff-8a51-8103c70b2dbe
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286
Velazquez Abad, Anthony
da7e985d-f164-43ff-8a51-8103c70b2dbe
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95
Waterson, Ben
60a59616-54f7-4c31-920d-975583953286

(2014) Selecting low carbon technologies for increasing the efficiency of heavy goods vehicle fleets using sim heuristics. 19th Annual Logistics Research Network Conference, Huddersfield, United Kingdom. 03 - 05 Sep 2014.

Record type: Conference or Workshop Item (Paper)

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.

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More information

Published date: September 2014
Venue - Dates: 19th Annual Logistics Research Network Conference, Huddersfield, United Kingdom, 2014-09-03 - 2014-09-05
Organisations: Transportation Group

Identifiers

Local EPrints ID: 372140
URI: http://eprints.soton.ac.uk/id/eprint/372140
PURE UUID: 42466ed1-f8a5-4ee7-b0ae-0245285586a4
ORCID for Ben Waterson: ORCID iD orcid.org/0000-0001-9817-7119

Catalogue record

Date deposited: 01 Dec 2014 12:08
Last modified: 20 Jun 2018 00:34

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