Duaa Ibrahem Alluwaimi
Electrical Engineer
KBR AMCDE
Duaa Alluwaimi is an Electrical Engineer at KBR–AMCDE driven by a passion for innovation, continuous growth, and emerging technologies. She values creativity, future-oriented thinking, and technical development, and is committed to contributing to smarter, more efficient engineering solutions. Her professional approach blends initiative, stability, and a strong desire to evolve with the fast-paced world of modern technology.
Participates in
TECHNICAL PROGRAMME | Energy Technologies
Smart Infrastructure for the Future Energy Industry: Digitalisation & Innovation
Forum 18 | Technical Programme Hall 4
27
April
13:30
15:00
UTC+3
Renewable energy plants are key pillars in Saudi Arabia’s vision for a sustainable and clean energy future. However, maintaining these plants, especially solar and wind farms located in harsh and remote environments, presents significant operational challenges. This research proposes the development of Ruaa RoboEnergy, an intelligent electric robotic system designed to autonomously monitor, inspect, and maintain renewable energy installations, enhancing operational efficiency and reducing maintenance costs.
The name “Ruaa”, meaning “visions” in Arabic, reflects the project’s alignment with Saudi Arabia’s forward-thinking approach and commitment to innovative, sustainable energy solutions. The combination of “Ruaa” and “RoboEnergy” highlights the integration of robotics and electrical engineering in creating smart maintenance technologies for renewable energy infrastructures.
The system integrates advanced electrical engineering, robotics, and artificial intelligence to create a robust, energy-efficient robot capable of operating in extreme environmental conditions. Equipped with precise electric actuators, multi-joint robotic arms, and AI-powered vision systems, Ruaa RoboEnergy detects faults, predicts failures, and performs timely maintenance tasks without human intervention.
By harvesting energy from renewable sources and incorporating smart energy management, the robot ensures continuous operation even in remote locations with limited human access. This project focuses on designing the electrical control systems, robotic mechanisms, AI algorithms for predictive maintenance, and simulating real-world conditions to validate performance.
The expected outcomes include improved reliability and lifespan of renewable energy plants, cost reduction in maintenance, and contribution towards Saudi Arabia’s energy leadership and sustainability goals. This research aligns closely with the Energy Technology domain, aiming to advance smart, autonomous solutions for the future of energy infrastructure.
The name “Ruaa”, meaning “visions” in Arabic, reflects the project’s alignment with Saudi Arabia’s forward-thinking approach and commitment to innovative, sustainable energy solutions. The combination of “Ruaa” and “RoboEnergy” highlights the integration of robotics and electrical engineering in creating smart maintenance technologies for renewable energy infrastructures.
The system integrates advanced electrical engineering, robotics, and artificial intelligence to create a robust, energy-efficient robot capable of operating in extreme environmental conditions. Equipped with precise electric actuators, multi-joint robotic arms, and AI-powered vision systems, Ruaa RoboEnergy detects faults, predicts failures, and performs timely maintenance tasks without human intervention.
By harvesting energy from renewable sources and incorporating smart energy management, the robot ensures continuous operation even in remote locations with limited human access. This project focuses on designing the electrical control systems, robotic mechanisms, AI algorithms for predictive maintenance, and simulating real-world conditions to validate performance.
The expected outcomes include improved reliability and lifespan of renewable energy plants, cost reduction in maintenance, and contribution towards Saudi Arabia’s energy leadership and sustainability goals. This research aligns closely with the Energy Technology domain, aiming to advance smart, autonomous solutions for the future of energy infrastructure.
