Autopilot for optimizing boiler capacity, efficiency and emissions

Valmet DNA Combustion Manager

With Valmet's boiler optimization, you can directly increase the profitability of your plant by resolving current process limitations and stabilizing the combustion process in all operational situations. Whether you aim to reach a new maximum load, find the actual minimum load or lower emissions, Valmet DNA Combustion Manager will help you maximize the performance of your existing or new boiler.

Meeting your performance targets

Valmet's boiler optimization solution Valmet DNA Combustion Manager is an advanced process control application for optimized combustion of both bubbling and circulating fluidized bed boilers and waste-to-energy boilers. The modular application adjusts the combustion process to stabilize variations in production, fuel amount, fuel quality and combustion circumstances and is designed to ensure the best possible performance 24/7.

The solution is an integrated part of the Valmet DNA DCS and new Valmet DNA UI User Interface, which enables the best possible user experience for plant operators. As a multivariable closed-loop controller, Valmet DNA Combustion Manager simultaneously regulates a number of variables for improved combustion.

With a typical payback time of under one year for the Valmet DNA Combustion Manager application, you can expect direct benefits in no time.

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Typical result of load maximization. A 65% decrease in steam flow fluctuation leads to a 0.6 MWe improvement in net electricity production.

Environmental, operational and financial benefits

Valmet’s boiler optimization solution makes it possible to meet more stringent emission and efficiency requirements. It also increases boiler flexibility and operational range, minimizing the use of flue gas chemicals and increasing the use of cheaper fuels. It is a no-brainer solution when you are adapting your plant operations to a volatile electricity market. Our solution can help you to discover extra capacity for the electricity market and make it available exactly at the right time.

Typical results of NOX reduction

The average NOx level as a function of the boiler load before and after an optimization project. The level of NOx typically is reduced by 20–30%. Optimized combustion reduces the need for secondary NOx control measures, leading to savings in additive costs.

Typical results of a plant’s reduced electricity consumption

Flue gas fan (left) and primary air fan (right) power consumption before and after an optimization project.

Typical result of a boiler efficiency improvement project

With about a 0.5% improvement in boiler efficiency.

Complementary solutions based on your needs

Adjustment of fuel quality instabilities

Valmet DNA Fuel Power Compensator complements combustion optimization by controlling fuel quality change. The solution adjusts for fuel feeding system disturbances caused by variations in fuel quality and quantity. As a result, serious combustion process instabilities can be avoided, leading to increased equipment and component life and significant cost savings over the long run.

Optimized sootblowing

Valmet DNA Sootblowing Manager provides an operator with real-time information about the boiler heat transfer characteristics. This enables short- and long-term monitoring and an optimized sootblowing sequence.

Corrosion risk management

Valmet DNA Corrosion Manager is the ideal solution for running a fluidized bed boiler. Whether you want to change fuel from peat to biomass or to maximize the combustion of solid recovered fuels (SRF) or refuse-derived fuels (RDF), the application based on Valmet Corrosion Reduction Analyzer enables real-time corrosion risk monitoring and control as well as sulfur additive and fuel diet control.

Continuous improvement

Maximizing process performance is a continuous effort. Valmet Process Performance Services continuously monitor performance and optimize your production processes. Remote monitoring is supported by our global network of service experts to make sure you achieve optimal production performance at all times.