Advanced predictive tool to optimise combustion and emission performance of industries included under 96/61/ce directive

Deliverables

Optimisation tool based on non-linear equations for optimise the combustion set-point parameter based on results of combustion model and predictive NOx neural network

The control system master for PN. P.P. is steam pressure, load and Oxygen content after economiser. The load is not possible because it is demanded from National Electrical Demand Networks. Thus, Oxygen content after economiser is able to be optimised only. The final decision was to optimise this parameters for each load block and for any cycle operating conditions. To optimise the oxygen, it was necessary to perform special tests and measurements in order to define the low boundary limits. This fact has allowed the project to define new transference functions between the load and oxygen content. This defines the real excess air and total air required for the combustion.

Fault and anomalies predictive model to increase the power plant availability

The system is an expert system based on knowledge rules, which provide basic operating recommendations, actuation lines and simple decisions useful for the operator. The expert system supports also the optimisation part and it obtains the needed information from Monitoring System, which supply the current situation of the plant. The optimisation system has to be in continuous communication with the Monitoring System to acquire the required data in order to execute each rule according to the knowledge base.

Fuel consumption prediction based on combustion set point parameter ensuring the Nox prediction from these points

It is a model to supply the fuel consumption prediction for each operating condition working on-line with the plant or off-line. Several different scenarios may be running and evaluate the differences among each other. This ensures the choice of a scenario in which the fuel consumption could be lower with the same level of performance and efficiency.

Combustion model for on-line thermal efficiency and air-preheater efficiency assessment

The combustion model is a tool to supply results about the performance plant in efficiency and combustion looses terms. It s based on ASME code and its mission is to provide performance results taking real plant data and optimised data. This allows to compare the real situation against optimum operating conditions.

Balance model for determining the fouling ration on heat transfer bank optimises the combustion set point

The balance model is a tool to supply results about the performance plant in heat transfer terms in each main components. It is based on ASME code and its mission is to provide performance results taking real plant data and optimised data. This allows to compare the real situation against optimum operating conditions. The model supplies the evolution and degradation of steam properties along the time, showing where soot blowing actions should be done.

NOX, SOx and thermal efficiency prediction based on neutra network and non-linear equations

The model software has the main target supplies reduction about pollutant emission and thermal efficiency for real or predicting operating conditions. The main mission is to replace the real measurement equipment in the next future reducing and avoiding the high costs linked to these equipments in special for continuous measurements.