"ELECTRODE BOILER MODEL FOR ANCILLARY SERVICE SIMULATION"
By simulating internal control systems and dynamic operating conditions, we have developed a generic model that demonstrates how electric boilers can best contribute to stabilizing grid frequency – even under rapidly changing loads.
This new component-based model allows us to analyze, optimize, and predict the performance of electric boilers in the complex interaction between district heating systems and ancillary services in the electricity market.
The customer saves time and money
PRINCIPLES BEHIND DYNAMIC MODELING OF PROCESS AND CONTROL SYSTEMS
ABOUT THIS ARTICLE:
The 15th International Modelica Conference was held in Germany. And we were there.
At the conference in Aachen, Rene Just Nielsen and Thomas Egsgaard Pedersen presented their paper on "Electrode boiler model for ancillary service simulation." The paper explains some of the principles behind dynamic modeling that Added Values uses to develop process and control systems.
As a little teaser, here is the abstract of the paper:
- “A generic component-based model of an industrial electrode boiler with internal control systems is presented. A mechanic modelling approach was taken to include as much process and control information as possible and to generate detailed simulation results. The model is intended for qualitative studies of electrode boiler dynamics in the context of district heating generation and power grid ancillary services in collaboration with other electric power consuming units.
An example boiler control scheme is designed and included in the simulation model as this is paramount to the dynamic response of the system. Simulations of standstill, load changes, and startup from hot and cold state show that the strictest ancillary service requirements can be fulfilled when the boiler is kept at operating temperature.”
We use dynamic simulation and model-based design because it saves both time and money for the customer. For example, before commissioning, we can simulate different operating situations and thus identify and eliminate any errors.
Please see our CASE on DIN Forsyning where dynamic simulation and model-based design was used in connection with replacing fossil fuel with sustainable energy technologies.
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