13.4.2015Fleet Operators miss out on Â£2.6bn fuel savings
New research from Go Ultra Low has shown that commercial vehicle operators and fleet managers are missing out on a share of more than Â£2.6 billion potential fuel savings, accessible by opting for an ultra-low emission van.
Compared with the cost of operating a diesel-powered van, nearly half (1.8 million) of the 3.7 million vans on UK roads could tap-in to the typical Â£1,459 per vehicle* annual savings on the cost of fuel.
Millions of operators run small and medium-sized vans as back-to-base or short-haul vehicles, a duty-cycle perfectly suited to pure-electric vans like the Nissan e-NV200 and Renault Kangoo Van Z.E. and plug-in hybrids like the Mitsubishi Outlander 4Work.
Hetal Shah, Head of the Go Ultra Low campaign said: "Ultra-low emission commercial vehicles make so much sense for operators large and small, particularly when you consider the massive fuel savings on offer and the opportunity to write-off the cost of the vehicle.
"Add to the mix lower maintenance fees and tax rates, plus the potential for reduced whole-life running costs, and they really do make a compelling option."
Businesses operating ultra-low emission vehicles can significantly reduce annual fleet management costs. The savings are immediate, with a government grant of up to Â£8,000 towards the purchase price and 100% of the vehicle's value applicable to write off as a capital allowance.
Thanks to CO2 emissions of less than 75g/km, all ultra-low emission vehicles (ULEVs) are also exempt from car tax. Other advantages such a nationwide network of recharging points and congestion charge exemption in London make ULEVs a valid alternative to traditionally-fuelled vans.
In addition, residual values for ULEVs continue to improve and more UK companies are turning to ultra-low emissions commercial vehicles to drive their business and reduce their corporate carbon footprint.
*Based on annual mileage of 20,000 miles, comparing a typical electric van versus an equivalent diesel vehicle (calculated using CAP data).