Boeing will purchase 5.6 million gallons (21.2 million liters) of blended sustainable aviation fuel (SAF) to support their carbon footprint reduction strategy through 2023. The total volume of Neste MY Sustainable Aviation Fuel™ supplied is approximately 1.7 million gallons (5,200 tons)

“As one of the top aircraft manufacturers in the world, Boeing is sending a clear message to the entire aviation industry through this purchase that SAF is a key solution to reduce greenhouse gas emissions from flying,” said Michael Sargeant, Vice President Americas, Renewable Aviation at Neste.

“We are proud to be a part of this collaboration along with our partners EPIC Fuels, Signature Aviation and Avfuel.” 

EPIC Fuels, Signature and Avfuel will supply blended SAF for Boeing’s ecoDemonstrator program and the company’s fuel storage in Washington state and South Carolina. Additionally, EPIC Fuels and Signature will supply blended SAF for generating emissions reduction benefits for Boeing to allocate for company operations including Dreamlifter and executive flights, and commercial airplane deliveries. In 2021, Boeing committed to deliver its commercial airplanes capable and certified to fly on 100% SAF by 2030.

Sustainable Aviation Fuel

SAF is a next generation aviation fuel providing a more sustainable alternative to conventional, fossil based jet fuel. It is widely recognized as a key lever to achieve aviation’s emission reduction goals. Using Neste MY Sustainable Aviation Fuel™ reduces greenhouse gas emissions by up to 80%* over the fuel’s life cycle, compared to using conventional jet fuel.

Neste’s SAF is made from sustainably sourced, 100% renewable waste and residue raw materials, such as used cooking oil and animal fat waste. SAF is certified for commercial use and can currently be blended up to 50% with traditional jet fuel without modifications to airplanes, engines or fueling infrastructure. 

*) When used in neat form (i.e. unblended) and calculated with established life cycle assessment (LCA) methodologies, such as CORSIA methodology