MBZUAI researchers are developing an AI-driven energy management system that optimizes ice battery technology for cooling in hot climates. The system stores energy as frozen water during times of energy surplus and uses it to cool buildings when demand peaks. The AI model integrates multimodal data from weather forecasts, environmental sensors, and power grid signals to determine when to store or release thermal energy. Why it matters: This approach promises to reduce fossil fuel dependence and lower energy costs while improving cooling performance in regions like the UAE.
KAUST researchers are addressing the challenge of growing electricity consumption in cooling technologies, as the global demand for air conditioning increases by 3-4% annually. In Saudi Arabia, cooling systems account for up to 70% of electricity usage during the summer. Researchers at KAUST's Water Desalination and Reuse Center are exploring ways to improve the energy efficiency of chillers to reduce costs and CO2 emissions. Why it matters: Improving cooling efficiency is critical for reducing energy consumption and carbon emissions, especially in hot climates like Saudi Arabia and other GCC countries.
IBM and MBZUAI have partnered to create an AI Center of Excellence, with the goal of driving sustainability in the region. The center will use AI to monitor, model, and visualize climate change, providing decision-makers with data to address issues like the urban heat island effect. Dr. Fahad Khan, Dr. Salman Khan, and Dr. Levente Klein from MBZUAI are leading the research. Why it matters: This collaboration highlights the UAE's commitment to using AI to tackle critical climate challenges and supports the upcoming COP28 in Dubai.
KAUST researchers are developing passive cooling solutions that use no electricity to address Saudi Arabia's high air conditioning electricity consumption. The technologies leverage nanotechnology, reflective materials, water evaporation, and advanced sensors to cool urban spaces, greenhouses, and buildings. One innovation involves nanotechnology that absorbs water from the air to cool electronics. Why it matters: These advancements are crucial for sustainable growth in hot climates, particularly for protecting solar panel efficiency and addressing rising global energy demands for cooling.
MBZUAI's Qirong Ho and colleagues are developing an Artificial Intelligence Operating System (AIOS) for decarbonization, aiming to reduce energy waste in AI development. The AIOS focuses on improving communication efficiency between machines during AI model training, as inefficient communication leads to prolonged tasks and increased energy consumption. This system addresses the high computing power demands of large language models like ChatGPT and LLaMA-2. Why it matters: By optimizing energy usage in AI development, the AIOS could significantly reduce the carbon footprint of AI technologies in the region and globally.