According to Trade Arabia, the Dubai Electricity and Water Authority (DEWA) and Siemens are working together to identify ways to improve thermal efficiency, provide cost-effective solutions for performance optimisation, manage costs and reduce fuel consumption and emissions.
Siemens said that at the core of the project is the company’s data-driven Digital Asset Optimisation services, part of the company’s digital services for energy portfolio, and the development of a new intelligent, self-learning controller for the SGT5-4000F gas turbine.
Siemens’ digital asset optimisation uses on-site digital monitoring of a unit’s performance and advanced data analytics to more closely target a specific issue, such as age-related degradation, and to provide recommendations for an operating mode to address this and other issues that may be leading to the unit’s under-performance, it added.
Nasser Lootah, executive vice president of the power and water generation division at Dewa, said: “To realise our vision to become a sustainable, innovative world-class utility, and in line with the Dewa2021 strategy, which supports the Dubai Plan 2021, we work closely with our partners to implement ground-breaking and pioneering electricity projects to help ensure the economic, environmental and social sustainability of Dubai.”
“This data-driven project with Siemens is another step to drive unprecedented levels of availability and reliability of electricity by reducing downtime and helping to identify operational challenges in advance. We will continue to bring cutting-edge technology to maximize the utilisation of our resources,” he added.
“Big data is transforming our industry into a digitally driven, intelligent ecosystem,” said Gianluigi Di Giovanni, senior executive vice president of Siemens Power Generation Services in the Middle East. “Our company’s approach is to work directly with customers to jointly develop tailored data-driven service solutions that really matter to them. And we are pleased to collaborate with Dewa to help them meet their needs for operational flexibility, improved plant performance, condition-based maintenance and more.”