Operational management of district heating system -artificial intelligence approach

Solution of energy saving problems in the heating systems are based on the approaches of modern control theory. Some aspects of artificial intelligence (AI) have direct application in operational management of such kind of objects. The tasks as choice of equipment, distribution of the load between the parallel working units and short-term forecasting of the heat load are tackled. The solution of these tasks is carried out by integration of a knowledge base and artificial neuron networks in algorithms of mathematical programming. The possibilities for using the fuzzy logic apparatus for management of such objects are commented, as well as for development of an expert system. The studies are based on real operational data from ZEMLYANE Heating System, Sofia (BG). 20 refs., 3 figs., 1 tab. (orig.)