Representative End User Clients
Representative Automation Clients
Representative Software Clients
The Dubai Electricity and Water Authority (DEWA) and Siemens have co-developed the first thermodynamic Digital Twin Gas Turbine (GT) Intelligent Controller that uses Artificial Intelligence and machine learning. The intelligent gas turbine controller was implemented at DEWA and launched during the 21st Water, Energy, Technology, and Environment Exhibition (WETEX).
The Intelligent Controller has improved turbine efficiency, increased its generation capacity, and reduced fuel consumption, which in turn has reduced harmful emissions. Once deployed across all gas turbines in M-Station, the system will make financial savings of Dh17mn a year. The turbine is located at M-Station in Jebel Ali, which is the largest power generation and water desalination plant in the UAE.
A prototype of the automated response initiated by thermodynamic variables, piloted on M-Station gas turbine number 11, was designed and applied to improve its performance and increase its efficiency. Following the prototype success, an additional feature was added to increase the stability of the combustion systems and reduce emissions, which has resulted in significant and continuous improvement in operational efficiency.