Artificial Neural Networks Modelling for Monitoring and Performance Analysis of a Heat and Power Plant

Abstract: Öresundskraft AB has a number of plants that produces mainly electricity and district heat to the city of Helsingborg and its surroundings. Västhamnsverket is the main plant of the company, with an installed capacity of 126 MW electricity and 186 MW heat. Västhamnsverket is a hybrid combined heat and power plant. In order to demonstrate an efficient control-monitoring model, several ANN models have been developed for different parts of Västhamnsverket. This master thesis is a part of a continuing ANN study applied at Västhamnsverket. The overall aim of this study is to develop an ANN simulator for the whole steam process at Västhamnsverket. In order to develop a better ANN model for the entire steam process, this process is divided into two sub-models, called case 1 and case 2. Consequently two cases have been studied separately and two different ANN models have been developed. These are then linked to each other.