KAUST's Center of Excellence for Renewable Energy and Storage Technologies (CREST) is hosting a webinar on grid-scale energy storage. The talk will cover the evolution of grid-scale energy storage over the past 15 years, highlighting major drivers in KSA and internationally. Dr. Marek Kubik, Director of BESS at NEOM, will be the speaker. Why it matters: This event signals the growing importance of energy storage solutions in Saudi Arabia's renewable energy strategy, particularly within ambitious projects like NEOM.
MBZUAI researchers are applying federated learning to optimize smart grids while protecting user data privacy. This approach leverages techniques from smart healthcare systems to enhance energy efficiency and local energy sharing. The research addresses the challenge of balancing grid optimization with the risk of user identity theft associated with traditional data-intensive smart grids. Why it matters: This research demonstrates a practical application of privacy-preserving AI in critical infrastructure, addressing key concerns around data security and fostering trust in smart grid technologies.
MBZUAI researchers are using federated learning to optimize energy production and use in microgrids, balancing individual and grid-level needs with a focus on sustainability. They presented a multi-agent framework called MAHTM at the ICLR 2023 workshop, aiming to minimize the carbon footprint of electrical grids. The system uses three layers of decision-making agents to minimize cost, decrease carbon impact, and balance production. Why it matters: This research offers a novel approach to integrating renewable energy sources into existing grids, potentially accelerating the transition to more sustainable energy systems in the region and globally.
KAUST and King Abdulaziz University (KAU) are collaborating to develop low-cost sodium-ion battery technology using fly ash, a waste material from burning fossil fuels. Researchers are purifying fly ash and using thermal treatment to engineer its structure for use as carbon electrodes in batteries. The resulting carbon electrode material is competitive with existing market products and can be used for other applications. Why it matters: This research offers a sustainable approach to energy storage by repurposing waste materials, potentially enabling cheaper and more environmentally friendly grid-scale energy storage for renewable energy sources.
Khaled Alrashed, president and CEO of Saudi Electricity Company for Projects Development, discussed the challenges of future smart cities at a KAUST event. He emphasized the importance of smart grids, AI, and large-scale optimization for improving urban living. The Saudi Electricity Company is partnering with KAUST, including using the Shaheen supercomputer, to develop these technologies and predict grid load. Why it matters: This collaboration highlights Saudi Arabia's ambition to become a leader in smart city technology and renewable energy, leveraging local expertise and resources.
A new mini-batch strategy using aggregated relational data is proposed to fit the mixed membership stochastic blockmodel (MMSB) to large networks. The method uses nodal information and stochastic gradients of bipartite graphs for scalable inference. The approach was applied to a citation network with over two million nodes and 25 million edges, capturing explainable structure. Why it matters: This research enables more efficient community detection in massive networks, which is crucial for analyzing complex relationships in various domains, but this article has no clear connection to the Middle East.
KAUST's Center of Excellence for Renewable Energy and Storage Technologies (CREST) hosted a seminar on rechargeable hydrogen gas batteries. Professor Wei Chen from the University of Science and Technology of China (USTC) presented the seminar. The talk covered aqueous nickel-hydrogen gas, proton-hydrogen gas, halogen-hydrogen gas, and nonaqueous lithium-hydrogen gas batteries, along with applications like self-charging batteries. Why it matters: Hydrogen gas batteries represent a promising avenue for large-scale energy storage, particularly for integrating renewable energy sources into electric grids.
To meet Net Zero Emissions goals, governments and corporations need to drive a wholesale energy transition. Current energy grids are outdated and need to be updated to handle renewable energy's specific demands. Research at MBZUAI is helping to create smarter grids by using AI to monitor and measure energy flow in real-time. Why it matters: AI-empowered smart grids can help accelerate the energy transition by enabling more efficient and reliable use of renewable energy sources.