The energy sector stands at a pivotal moment—tasked with drastically cutting carbon emissions while meeting surging electricity demand at affordable prices.
This dual imperative demands a fundamental transformation of our energy systems, encompassing everything from how we generate and store power to how we deliver it to homes and industries. Breakthrough innovations—such as next-generation power plants, high-efficiency storage, and intelligent grids—hold the key.
But the real question remains: how do we move from vision to implementation?
Let’s ask: what does the CEO of ENGIE in KSA – Mohammed AlHajjaj believe it will take to make this transformation a reality in this special OpEd (Opinion-editorial) in www.menatech.net.
The energy industry is at a crossroads. We need to drastically cut carbon emissions while keeping the lights on and energy affordable – a seemingly impossible balancing act. This requires a major energy system overhaul, from how we generate power to how we store it and get it to our homes and businesses. Think smarter power plants, massive batteries, and a supercharged electricity grid. But how do we get there? This piece reveals how ENGIE is using cutting-edge technology, both digital and physical, to make our energy cleaner and more efficient. We’ll explore groundbreaking innovations that boost fuel efficiency, slash energy waste, and even extend the life of our essential energy infrastructure. It’s a glimpse into the future of sustainable power.
O&M technologies are pivotal in enhancing the efficiency and sustainability of energy operations by fine-tuning performance and minimizing waste. ENGIE is committed to integrating advanced digital solutions to monitor and optimize the performance of its energy assets. Condition Monitoring Systems, such as Robin Analytics, leverage predictive analytics to prevent critical generator failures, minimizing downtime and maximizing output. Self-tuning Control Systems for Combined Cycle Gas Turbines (CCGTs) enhance plant flexibility, reduce the risk of shutdowns, and significantly cut energy losses during transitory phases.
To illustrate, consider the intricate machinery of a Combined Cycle Gas Turbine (CCGT), a power generation workhorse with countless moving parts. Maintaining precise temperature control, particularly during fluctuating power demands, is paramount for both efficiency and preventing costly shutdowns. Traditional control systems, frankly, often fall short. They struggle to keep pace with these dynamic changes, resulting in wasted energy and the looming threat of system failures. This is precisely where the transformative power of AI becomes indispensable.
ENGIE believes that by leveraging “neural networks,” a sophisticated form of artificial intelligence, we can revolutionize CCGT control. These self-tuning systems, akin to a digital brain, continuously monitor the turbine’s exhaust temperature and make real-time adjustments, optimizing performance with unparalleled precision.
The process is elegant in its simplicity yet powerful in its impact. A mathematical model of the turbine predicts temperature fluctuations, feeding this data into the neural network control center. The network then compares the predicted temperature to the desired target and fine-tunes the control settings accordingly. This continuous feedback loop, constantly refining its internal “weights” based on real-world data, allows the system to learn and enhance its control over time.
The advantage of neural networks lies in their ability to grapple with the complex, non-linear relationships inherent in turbine operation. This allows for significantly more accurate temperature predictions compared to conventional methods, translating to smoother operation, reduced downtime, and substantial energy savings, especially during those critical transitional phases when power demand fluctuates. It’s as if we have a dedicated expert constantly optimizing the controls, ensuring peak performance and minimizing waste. This, in my view, is a crucial step towards a more efficient and sustainable energy future. Likewise, Rotor Vibration Monitoring systems in CCGTs, through active monitoring and early detection, improve long-term performance and extend the operational life of these crucial assets.
ENGIE’s Research & Innovation (R&I) efforts prioritize both decarbonizing existing operations and piloting new technologies that can meet future energy demands sustainably. ENGIE is actively exploring the potential of green hydrogen (H2) and ammonia (NH3). Co-combustion technologies are being tested to create conditions for green H2 integration in CCGTs, while also exploring ammonia as a viable hydrogen carrier. Simultaneously, ENGIE is developing CO2 capture technologies, including a mobile carbon capture pilot in Belgium, to mitigate emissions from existing power plants. Looking towards the future, projects like Hyflexpower are testing 100% hydrogen operation in Combined Heat and Power (CHP) plants in France, paving the way for a truly decarbonized energy system.
The adoption of Artificial Intelligence (AI), particularly Generative AI, is accelerating digital transformation in energy operations, leading to enhanced efficiency and performance. AI is being integrated into process industrialization, improving energy availability, and optimizing asset performance. Metroscope, an AI initiative deployed in Chile, optimizes CCGT performance, demonstrating the significant value of even minor efficiency gains. All ENGIE plants are equipped with digital tools for performance benchmarking and correction, further enhanced by AI-powered tools like the SAMP Digital Twin, providing data-driven insights for continuous improvement.
ENGIE recognizes the power of collaboration. We actively partner with startups, research institutions, and technology partners to accelerate the development of innovative solutions. ENGIE VC has invested in deep-tech startups across the energy transition value chain, including pilots in battery storage and renewable hydrogen technologies. Furthermore, partnerships in the GCC with universities and research institutes foster regional innovation and tailor solutions to local needs.
Advanced O&M technologies, relentless innovation, and AI-driven solutions are central to ENGIE’s strategy to decarbonize energy operations and meet its Net Zero by 2045 target. The energy sector must continue to invest in cutting-edge technologies and collaborate across sectors to drive sustainable energy solutions for the future. Only through collective action and a commitment to innovation can we truly fuel a greener tomorrow.
