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The boiler model has non-minimum phase and integrating properties.
Both approaches are applied and compared on nonlinear boiler model with previous results.
This paper presents the calibration and validation of a boiler model by means of laboratory tests.
An appropriate first-principles based boiler model with short computer execution time but yet reasonable accuracy in both air-fired and oxy-fired configurations is highly desired.
A nonlinear boiler model is simulated as OPC server and OPC client is used for closed loop model identification, and to design a Model Predictive Controller.
This paper focuses on developing a control-oriented coal-fired utility boiler model for advanced economical Low-NOx combustion (ELNC) controller design.
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The proposed decentralized controller design procedure was verified on the nonlinear benchmark drum boiler simulation model (Morilla, 2012).
Data collected for the experimental ORC test bench are used to validate the expander and boiler models.
The simulation of buildings heated by biomass systems, first of all needs detailed boiler models, capable of simulating the boiler both as a stand-alone appliance and as a system component.
The proposed modelling and control approach is illustrated on a case study: drum boiler nonlinear simulation model presented as a benchmark example in (Morilla, 2012).
By using engineering and thermodynamic knowledge, a boiler hardware model (BHM) is developed to describe the performance of boilers, and the turbine hardware model (THM) is applied for the shaft-work targeting of steam turbines.
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