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For improving the load-following capacity of existing grate boiler units, a model predictive control concept based on the combustion power soft-sensor is developed. Because the combustion power estimation has a very quick response to the primary air flow input, the load-following speed of the boiler control system will be improved considerably. The proposed model predictive control strategy is tested...
For improving the load-following capacity of existing grate boiler units, an MPC control concept based on the combustion power soft-sensor is developed. Because the combustion power estimation has a very quick response to the primary air flow input, the load-following speed of the boiler control system will be improved considerably. The proposed MPC strategy is tested with the BioPower 5 CHP plant...
The fuel bed height sensor is a critical element in the control of the BioGrate boiler. A fault appearing in this sensor greatly affects the control performance in the sense that air distribution in the BioGrate boiler deviates from its nominal distribution. To address this problem, a fault tolerant model predictive control (FTMPC) has been developed to accommodate the fault in this fuel bed height...
This paper presents a novel technique for integrating process causality and topology which ultimately enables to determine the propagation path of oscillations in control loops. The integration is performed using a dedicated search algorithm which validates the quantitative results of the data-driven causality using the qualitative information on plant connectivity extracted from a piping and instrumentation...
This paper aims to present an enhanced method for estimating fuel quality on a BioGrate combustion process and its use in a control strategy improvement. The dynamic model based method (DMBM) utilizes combustion power which is calculated using the oxygen consumption of the furnace and the energy balance of the boiler. The proposed method is tested with data from the industrial scale Biopower 5 CHP...
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