Neuro-Fuzzy Models of Thermoelectric Power Station Installations

Taking into account the technical and economical problems with which the combined heat and power plants are confronted, after the reorganization of this domain in Romania, in order to improve the normal operation with small-efficiency when these centralized units are maintained in function, the paper proposes the implementation of a modeling method based on the soft computing theory. The main objective of the research team is in connection with the improvement of the performance and competitive of a combined heat and power plant total activity, through the fuel consumption reduction, the power efficiency increase and guaranteeing the supply with energy services by means of measures relating to the offer and demand, the power and heat production cost reduction. With that end in view the scientific research is focused on the theoretical and practical implementation of new hybrid neuro-fuzzy method to model the technological processes from a combined heat and power plant