KAUST and GE have partnered to study the feasibility of using crude oils like Arabian Super Light (ASL) to power heavy-duty gas turbines. The collaboration aims to develop turbines capable of burning crude oil directly from the ground to meet Saudi Arabia's energy security needs. The research involves building a rig at KAUST's High Pressure Combustion Laboratory (HPCL) to conduct corrosion tests on turbine materials by burning ASL/AXL crude continuously for 2,000 hours. Why it matters: This partnership could reduce reliance on natural gas and offer an economically viable alternative fuel source, bolstering energy security in Saudi Arabia and potentially influencing turbine technology worldwide.
KAUST's Clean Combustion Research Center (CCRC) has become a global hub for combustion research within four years of its inauguration. The CCRC focuses on developing expertise in efficient, clean, and economical fuel combustion, including a 10-year FUELCOM project with Saudi Aramco. The center utilizes specialized facilities and the KAUST supercomputer Shaheen to test computations and simulations, and also introduced CloudFlame for managing research data. Why it matters: The CCRC's work is crucial for improving the efficiency and sustainability of internal combustion engines, expected to remain relevant for the next 30-40 years.
A KAUST article discusses the future of energy, highlighting the role of hydrocarbon fuels and the need for sustainable practices. Professor Tadeusz W. Patzek's paper emphasizes finding sustainable bridges until alternative energy sources become viable. The article contrasts optimistic and pessimistic views on energy sustainability, drawing parallels to the whale oil industry. Why it matters: The piece highlights the tension between continued reliance on fossil fuels and the urgent need for alternative energy sources and reduced consumption in the GCC region and globally.
KAUST hosted the KAUST Future Fuels Workshop in 2016. The workshop brought together researchers in the area of future fuels. Why it matters: This indicates KAUST's early interest in energy research and its role as a regional hub for scientific exchange.
KAUST researchers reviewed 570 papers on alcohol combustion dating back to the early 1900s, synthesizing existing knowledge and identifying gaps in the literature. They developed a model that simulates alcohol combustion, gathering specific aspects to better understand combustion in engines. The study revealed properties of alcohol fuels, including high resistance to autoignition and decreased particulate matter emissions, but also increased emissions of carcinogenic aldehydes. Why it matters: This comprehensive study provides valuable insights for designing more efficient internal combustion engines operating on alcohols and addresses implications for air quality regulations.
KAUST Catalysis Center (KCC) and KAUST Solar Center (KSC) partnered with Nigerian startup Newdigit Technologies to develop their "Just Add Water" pilot. The project aims to use electrolysis powered by photovoltaics to split water into hydrogen (for cooking) and oxygen. The hydrogen produced can be utilized as a clean-burning gas for cooking, while the fuel cell generates electricity and produces clean drinking water. Why it matters: This collaboration highlights KAUST's role in fostering sustainable energy solutions for developing nations and addressing critical challenges like energy access and indoor air quality.
KAUST, Abdul Latif Jameel Motors, and Toyota have formed a partnership to advance hydrogen fuel cell research in Saudi Arabia, supporting the Kingdom's decarbonization goals. KAUST has acquired proton electrolyte membrane (PEM) fuel cell modules from Toyota to establish a dedicated laboratory under its Clean Energy and Research Platform (CERP). Researchers at KAUST are conducting studies to optimize PEM fuel cells for Saudi Arabia's environmental conditions, aiming to maximize efficiency and reliability. Why it matters: This collaboration supports Saudi Arabia's Vision 2030 and net-zero goals, fostering innovation in hydrogen technology and sustainable energy solutions within the region.
This paper presents a reinforcement learning framework for optimizing energy pricing in peer-to-peer (P2P) energy systems. The framework aims to maximize the profit of all components in a microgrid, including consumers, prosumers, the service provider, and a community battery. Experimental results on the Pymgrid dataset demonstrate the approach's effectiveness in price optimization, considering the interests of different components and the impact of community battery capacity.