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Construction Vehicles likely to become more Efficient and Eco-friendly in Future, thanks to Scientists

Construction vehicles may soon become more efficient as well as environmentally-friendly in the future, as the scientists are developing some intelligent power systems for improved engine operation

November 26, 2016: Construction vehicles may soon become more efficient as well as environmentally-friendly in the future, as the scientists are developing some intelligent power systems for improved engine operation.

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According to PTI, “Researchers at the University of Warwick in the UK are working to optimise the fuel economy of the next generation of off-highway vehicles.”
This could help in significant fuel savings and fewer carbon emissions for the industry.

Researchers are analysing the fleet of a company that manufactures equipment for agriculture, construction, demolition and waste handling to better understand the opportunities for the emissions reduction and intelligent control.

Researchers said, “Construction industry is more environmentally-conscious than ever and the amount of CO2 emissions released by vehicles is a significant factor in deciding which ones to use during an assignment.”

As a result, it is now important that all construction fleets reduce their emissions – so in an increasingly competitive market greener, and efficient vehicles will be more in demand.

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According to PTI, “Researchers are analysing the suitability for micro/mild hybridisation (MMH) – a feasible solution that represents a simple, low-cost implementation to create high fuel efficiency with less energy use and fewer emissions.”

“Many off-highway vehicles are left running at full power whilst idle for much of their life – such as telescopic handlers, heavy excavators and wheeled loaders – potentially wasting fuel with a direct impact on local air quality.”

“The intelligent use of MMH could provide the opportunity to shut down the engine, or shift it to lower power, during these idle periods.”

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Scientists are also researching on a pioneering technology which predicts when the machinery requires the shift between high power and low power, thus allowing the users to run the machine with lowest fuel consumption and without sacrificing their performance.

Based on the big data mining and knowledge from experts, an intelligence-based decision tool has been constructed, in order to enable companies to target specific machines among their fleets for hybridisation.

by NewsGram team with PTI inputs

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