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.
Siemens CTO Rainer Speh spoke at KAUST about smart cities, noting that urban populations are growing, especially in cities like Riyadh and Jeddah. Cities consume two-thirds of the world's energy and generate 70% of CO2 emissions. Siemens is working on a driverless subway system in Riyadh as part of its smart city initiatives. Why it matters: Smart city initiatives are crucial for managing resources and reducing emissions in rapidly growing urban centers in Saudi Arabia.
KAUST has developed AirGo, a hybrid air quality monitoring system using mobile and stationary sensors. The system measures gases (carbon dioxide, carbon monoxide, sulfur dioxide, ozone, etc.) and particulate matter, providing real-time environmental data. AirGo is at technology readiness level 6 and is being scaled up for broader use through partnerships with manufacturers. Why it matters: This technology directly supports Saudi Vision 2030's environmental sustainability goals and the development of smart cities by providing granular air quality insights.
KAUST researchers have developed a dual-use wireless sensor system that monitors both traffic congestion and flood incidents in cities. The system combines ultrasonic range finders and infrared thermal sensors to provide real-time, accurate data on traffic flow and roadway flooding. Data is sent to central servers and assimilated with satellite data to form real-time maps and forecasts. Why it matters: This technology can provide up-to-the-minute warnings for flash floods and traffic, enabling rapid emergency response and potentially saving lives in urban environments.
Dr. Tarek Ali Fadaak, a Shura Council member, discussed the importance of environmental balance and improved resource management in Saudi urban planning during a 2018 KAUST lecture. He highlighted challenges like insufficient and poorly utilized open spaces in Saudi cities, emphasizing the need for aesthetic improvements and more public spaces. Fadaak stressed the importance of investing in the education of Saudi youth to drive future development and address these urban planning challenges. Why it matters: This underscores the ongoing focus on sustainable urban development and the role of Saudi talent in shaping future cities within the Kingdom, aligning with Vision 2030 goals.
This article discusses the evolution of mobile extended reality (MEX) and its potential to revolutionize urban interaction. It highlights the convergence of augmented and virtual reality technologies for mobile usage. A novel approach to 3D models, characterized as urban situated models or “3D-plus-time” (4D.City), is introduced. Why it matters: The development of MEX and 4D.City could significantly enhance user experience and analog-digital convergence in urban environments, offering new possibilities for human-computer interaction.
KAUST and the Al-Madinah Region Development Authority (MDA) signed an MoU to enhance efficiency, resiliency, and safety in Al-Madinah. KAUST will share high-resolution climate change projections and assess soil loss dynamics. The collaboration aims to tackle challenges in the environmental and water sectors through research, development, and training. Why it matters: This partnership showcases KAUST's role in translating research into practical smart city solutions for regional development, addressing critical environmental concerns.
KAUST researchers are developing low-cost, mobile wireless sensors for smart city applications, focusing on flood monitoring. These sensors are designed to be deployed by UAVs and float in water, transmitting data to map flood extent. The system uses "Lagrangian sensing" to gather information from remote locations with minimal infrastructure. Why it matters: This technology offers a cost-effective solution for environmental monitoring and disaster management, particularly relevant for flood-prone areas in Saudi Arabia.