Leveraging work done for its F1 engine program , Renault has introduced the Energy dCi 160 Twin Turbo, its first 1.6-liter diesel engine with twin-turbocharging. The 1,598cc block delivers 160 hp (119 kW) and 380 N·m (280 lb-ft) of torque, putting it into the realm of 2-liter engines in terms of performance; fuel consumption and CO₂ emissions savings are approximately 25%.

The use of Twin Turbo technology enables a blend of low-end torque and high power at higher revs. The system comprises two sequential turbo-compressors:

• The first is a very low inertia turbo which provides high low-end torque for pull-away and mid-range acceleration. To guarantee pick-up response at low revs and incisive acceleration, 90% of peak torque is available from 1,500 rpm.
• The second turbo takes over at the higher-end and produces high power (100 hp per liter) at faster engine speeds to ensure smooth, linear, dependable acceleration right the way up to maximum revs.

Experience with turbochargers is not the only link between the 1.6-liter Renault Energy F1 Power Unit and the Energy dCi 160 Twin Turbo. The new production engine takes advantage of a number of technologies borne out of Renault’s know-how in F1, notably in terms of cooling and friction reduction:

• The transverse water flow system permits faster and more efficient cooling of the combustion chamber.
• U-section U-Flex piston rings adapt to changes in the form of the cylinder walls resulting from fluctuations in temperature and pressure to yield the optimum compromise between efficiency and friction.
• DLC (Diamond Like Carbon) super-finishing of the cam followers also reduces friction.

The fuel injection system of the Energy dCi 160 Twin Turbo operates at a pressure of 1,800 bar to function with the twin turbocharger. It complies with Euro 6b emissions legislation and incorporates a NO_x Trap and particulate filter regeneration system.

By dint of its efficiency, this engine is capable of powering larger vehicles, and will be available for Renault’s forthcoming D- and E-segment models.