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The ETI will invest £100,000 in the eight month HDV Data Analysis Optimisation project
Element Energy will work with sub-contractors Microlise and the ICCT
The project will analyse data on HDV operations to help inform technologies under development by the ETI to improve HDV fuel efficiency
The ETI has appointed Element Energy to deliver its new Heavy Duty Vehicle (HDV) Data Analysis Optimisation project.
The ETI will invest £100,000 in the eight month project, which will analyse data on heavy duty vehicle operations to help inform technologies currently under development by the ETI to improve HDV fuel efficiency.
Research by the ETI has shown that the route, speed, freight load and vehicle configuration of HDVs can impact upon which fuel efficiency technologies are the most effective in helping to reducing carbon emissions.
This new project will provide information on the real world use and performance of on-highway HDVs by analysing vehicle data to produce a characterisation of both individual vehicles and vehicle fleets.
Leena Tailor
Junior Project Manager
Capturing and analysing real world data will ensure that the technologies we are developing to improve fuel efficiency and reduce emissions are more effective and of more value to the industry. The data collected will help measure these modelled improvements and ensure they have a real beneficial impact.
Alex Stewart from Element Energy said:
“This project comes at an important time for the heavy duty vehicle sector, which will face increasing pressure to make deep emissions reductions while continuing to meet operators’ needs. We are looking forward to using detailed telematics data to significantly advance the current understanding of real world vehicle use and improve the assessment of fuel use in new truck technologies.”
The ETI project will be used to inform decisions about technology developments for both new trucks as well as for evaluating the opportunity for retrofit technologies.
It will also assess the current state of this telematics market examining the depth of information currently available and review how the data is manipulated into specific metrics. This information will then be used to determine if and what gaps are evident between the available data and metrics and those needed to determine optimal technology selections.
HDV’s such as shipping, heavy goods vehicles, construction equipment, and agricultural equipment currently contribute c8% to UKCO2 emissions. Apart from bio-fuels, the low carbon options for replacing fossil fuels as the energy source for HDV applications are limited so fuel efficiency will become increasingly important to the future affordability, security and sustainability of HDV operations in the UK.
