This study introduces a reinforcement learning (RL) framework using Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC) to optimize the cleaning schedules of photovoltaic panels in arid regions. Applied to a case study in Abu Dhabi, the PPO-based framework demonstrated up to 13% cost savings compared to simulation optimization methods by dynamically adjusting cleaning intervals based on environmental conditions. The research highlights the potential of RL in enhancing the efficiency and reducing the operational costs of solar power generation.
Researchers from KAUST and University of Toronto have created a two-sided perovskite/silicon tandem solar cell that exceeds the performance limits for tandem configurations. The bifacial design captures both direct sunlight and light reflected from the ground (albedo). Outdoor testing demonstrated efficiencies beyond commercial silicon solar panels. Why it matters: This innovation promises ultra-high power generation at affordable costs, potentially revolutionizing the photovoltaics market in the region and globally.
The International Renewable Energy Agency (IRENA) has published a report titled 'From Prediction to Power: Applying Weather, Climate Forecasting, and AI in Renewable Energy'. This publication explores the integration of artificial intelligence with advanced weather and climate forecasting models. It details how these technologies can enhance the efficiency, reliability, and predictability of renewable energy sources, such as solar and wind power. Why it matters: This work highlights the critical role of AI in accelerating renewable energy adoption and achieving global climate goals by transforming intermittent energy sources into more stable and manageable power generation assets.
KAUST Associate Professor Aamir Farooq has been named a co-recipient of the 2019 Hiroshi Tsuji Early Career Researcher Award, co-sponsored by Elsevier and The Combustion Institute. Farooq, who leads the KAUST Chemical Kinetics and Laser Sensors Laboratory, is recognized for his work on fuel ignition chemistry. His research aims to improve fuel efficiency and reduce greenhouse gas emissions in transportation and power generation. Why it matters: This award highlights KAUST's commitment to fostering talented faculty and advancing research in clean combustion, a critical area for Saudi Arabia's energy future.
KAUST Professor Hong Im has been inducted into the National Academy of Engineering of Korea (NAEK) as an international member. He was selected for his contributions to the theory and computational modeling of combustion, specifically direct numerical simulations (DNS) of turbulent combustion. Since 2013, he has been a core faculty member of the Clean Combustion Research Center (CCRC) at KAUST. Why it matters: This recognition highlights KAUST's role in attracting and fostering world-class engineering talent and its contributions to advanced power generation research.
KAUST researchers have developed a saliva-powered microbial fuel cell (MFC) that generates electricity using electrogenic bacteria to consume waste and release electrons. The micro-MFC uses graphene as an anode and an air cathode, achieving high current densities (1190 A m-3). The MFC produced 40 times more power than through the use of a carbon cloth anode. Why it matters: This technology offers a novel way to power lab-on-chip or portable diagnostic devices, particularly in remote or dangerous areas, and may offer alternatives to energy-intensive water purification technologies.