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Toward the next step in utilising data


At the Kaukaan Voima plant, NOx emissions were previously controlled mainly with an ammonia injection system. Thanks to more accurate control technology, it has been possible to reduce its use and consequently save costs through lower chemical consumption.


to invest in an ammonia injection system at all. “We’ll be able to keep emissions below the upcoming tighter limits with our present technology and more accurate controls, as well as by reducing the use of NOx-containing fuels such as


peat,” adds Rainio. At the Kaukaan Voima plant, NOx emissions were previously controlled mainly with an ammonia injection system. Thanks to more accurate control technology, it has been possible to reduce its use and


consequently save costs through lower chemical consumption. An additional bonus is that


advanced controls at both plants have made operators’ work easier and freed up their time for other tasks from manual control.


Valmet has complemented its performance and reliability optimisation solutions with the Data Discovery service as part of Valmet’s Industrial Internet – VII offering. This provides a fast and cost-effective way of charting development potential or problems related to a power plant process by utilising plant data from various sources, as well as advanced analytics and process expertise. The service is suitable for power plants in both the energy and pulp and paper industries. In analysing the data, Valmet


uses advanced analytics methods, such as machine learning and artificial intelligence, to create predictive models. The customer gets a concrete development proposal and tentative applications to resolve the issue within three months of the project kick-off. The results provide the customer with a clear insight into how to improve and optimise plant performance. “We’ve utilised analysed plant


Control room at Kymin Voima biopower plant in Kouvola. Advanced controls at both plants of Pohjolan Voima have made operators’ work easier and freed up their time for other tasks from manual control.


16 Forest Bioenergy Review Summer 2020


data to optimise emissions and power boiler efficiency, improve proactive condition monitoring, maximise power plant capacity and predict boiler agglomeration, to name a few examples. Next, we plan to use data to increase the use of renewable fuels at power plants,” says Tuomas Petänen, Head of Energy Segment, Industrial Internet, Valmet. “Together with Pohjolan Voima we will next look into these further possibilities of utilising data to improve reliability and performance,” Petänen concludes.


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