Daily Newsletter

31 October 2023

Daily Newsletter

31 October 2023

The US continues to dominate SAF production capacity by 2030

Sustainable aviation fuel (SAF) is rapidly gaining prominence globally, with most of its production being planned through standalone renewable refineries.…

GlobalData Energy October 25 2023

Sustainable aviation fuel (SAF) is rapidly gaining prominence globally, with most of its production being planned through standalone renewable refineries.

Global SAF production capacity is expected to witness a remarkable growth period from 2020-2030, potentially increasing from 48 million gallons per annum in 2020 to 6,206 million gallons per annum in 2030.

A collection of projects mainly planned in North America, Europe, and Asia are expected to further drive this exceptional capacity growth by 2030.

To produce SAF, several crude oil refineries globally are being converted fully or partially into renewable refineries. However, global SAF production is primarily being planned through standalone renewable refineries.

The US is expected to witness the highest global SAF production capacity of 2,032 million gallons per annum from upcoming projects by 2030. Almost all of this upcoming capacity in the country is through standalone renewable refineries.

The UK follows the US with an estimated capacity of 445 million gallons per annum from upcoming renewable standalone refineries by 2030.

Meanwhile, China stands third with a capacity of 394 million gallons per annum from its two renewable standalone refineries - Maoming Renewable and Suining Renewable.

Quantum computers could transform oil and gas research

Although quantum computing is still in the R&D stage, its potential use cases in the oil and gas industry are numerous and are likely to expand. Oil majors, such as BP and ExxonMobil have joined IBM’s Q Network to develop quantum computers that will increase the understanding of subsurface geology. Companies are also looking at these computers to study molecular modeling and emission mitigation. Besides, the long-standing problems of matching demand with production and optimizing supply chains could be solved using quantum computing.

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