Saudi-Yemen program provides $81.2m to operate more than 70 power plants

Representatives from the Saudi Development and Reconstruction Program for Yemen, the oil company Petromasila, and Yemen’s Ministry of Energy and Electricity pose for a photo during the signing ceremony in Riyadh. (SPA)
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Updated 21 January 2026
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Saudi-Yemen program provides $81.2m to operate more than 70 power plants

  • Grant will improve reliability of electrical power to critical facilities, including hospitals, medical centers, roads, schools, airports and ports
  • Move follows last week’s announcement by the SDRPY of a larger aid package totaling $506 million to support Yemen

LONDON: A tripartite agreement was signed on Wednesday between the Saudi Development and Reconstruction Program for Yemen, the oil company Petromasila, and Yemen’s Ministry of Energy and Electricity to supply petroleum derivatives for the country’s power plants.

SDRPY is supporting the Yemeni government with an $81.2 million grant to purchase 339 million liters of diesel and mazut from Petromasila to operate more than 70 power plants across various Yemeni governorates.

The grant follows last week’s announcement by the SDRPY of a $506 million aid package to support Yemen’s education, health, government and infrastructure sectors.

The SDRPY highlighted that the grant will improve the reliability of electrical power to critical facilities, including hospitals, medical centers, roads, schools, airports and ports. Additionally, the funding will stimulate the Yemeni economy and support the Central Bank of Yemen by easing the pressure on foreign exchange reserves.

It reduces the Ministry of Finance’s fuel-related financial burden and supports the Ministry of Electricity and Energy in improving the efficiency of power plants in Yemen, the SDRPY said.

In 2018, the SDRPY provided $180 million, in addition to $422 million in 2021 and another $200 million in 2022, as grants to Yemen to purchase oil derivatives and operate vital sectors of the country.


Saudi Arabia’s KAUST named FIFA’s first research institute in MENA

The canal in the King Abdullah University of Science and Technology campus. (Shutterstock)
Updated 10 February 2026
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Saudi Arabia’s KAUST named FIFA’s first research institute in MENA

  • KAUST President Prof. Sir Edward Byrne said that the university’s selection as the fifth FIFA Research Institute in the world — and the first in the region — marks a significant achievement, reflecting Kingdom’s growing presence in international football

RIYADH: FIFA has designated the King Abdullah University of Science and Technology as its first research institute in the Middle East and Asia to support the development of innovative football research, the Saudi Press Agency reported on Tuesday.

The recognition highlights KAUST’s commitment to integrating sports, academic research and industry through advanced, high-level initiatives grounded in rigorous scientific methodologies, contributing to the advancement of football studies.

KAUST President Prof. Sir Edward Byrne said that the university’s selection as the fifth FIFA Research Institute in the world — and the first in the region — marks a significant achievement, reflecting Saudi Arabia’s growing presence in international football.

The accreditation aligns with national efforts to invest in research and development and promote the knowledge economy, supporting Saudi Vision 2030’s goals of building an advanced sports system based on innovation and sustainability.

The collaboration’s first project focuses on developing advanced AI algorithms to analyze historical FIFA World Cup broadcast footage, transforming decades of match videos into structured, searchable data, according to the KAUST website.

This work opens new opportunities to apply state-of-the-art computer vision techniques and deepen understanding of how football has evolved over time.

The second project uses player and ball tracking data from the FIFA World Cup 2022 in Qatar and the FIFA Women’s World Cup 2023 in Australia and New Zealand to compile comprehensive datasets capturing in-game dynamics.

These datasets provide deeper insights into human movement, playing techniques and performance dynamics through AI-driven analysis.