thermodynamic Digital Twin Gas Turbine Intelligent Controller

In 2017, Siemens and DEWA publicized a contract to work together on an progressive data-driven project to advance new intelligent, self-learning controller for the SGT5-4000F gas turbine. The turbine is located at M-Station in Jebel Ali, which is the largest power generation and water desalination plant in the UAE. They have co-developed the world’s first thermodynamic digital twin gas turbine (GT) Intelligent Controller, which uses artificial intelligence (AI) and machine learning. The Intelligent Controller has improved turbine efficiency, increased its generation capacity, reduced fuel consumption, which in turn reduces harmful emissions. Once deployed across all gas turbines in M-Station, the system will make financial savings of AED 17 million a year.

By digitizing DEWA, ​​it aims to undermine the entire business of the utility by becoming the world’s first digital utility and enlarge the use of unified AI solutions, making Dubai the first city in the world to offer AI-based hydropower services. The intelligent controller in the gas turbine has gone through several stages, starting with concert testing of 22 gas turbines by the power generation department. The department then installed a thermodynamic diagnostic system in 10 gas turbines to gather the technical data needed to gadget the intelligent system. A model of the computerized reaction started by thermodynamic factors, directed on eleven M-Station gas turbines was structured and applied to improve its presentation and increment its proficiency. Following the model achievement an extra highlight was added to expand the steadiness of the burning frameworks and lessen outflows, which has brought about noteworthy and ceaseless improvement in operational effectiveness. We are ready to install these AI-driven controllers in more turbines, and to build on our long-term partnership with DEWA as it continues its digitalization journey.

Source: Internet

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