Heat production optimization using bio-inspired algorithms

Energy efficiency of industrial systems is one of key features for optimal use of resources and the lowest costs of energy for users. In the recent time optimization of heating plants and heat distribution systems becomes an important venue for novel methods and innovative constructions. Various proposals can be seen for more efficient performance of heating systems in changing weather conditions. In this article results of using bio-inspired methods for intensification of the district heating plant to work with maximum efficiency at the lowest costs are presented. The research is focused on developing bio-inspired approaches for a mathematical model of a district heating plant in various weather conditions. The research model represents a sample district heating plant, in which circulation of hot water is performed in two heat exchangers supplied by controlled pumps. The system was calibrated with the use of proposed Polar Bear Optimization and the results were compared to one of best known heuristics, Particle Swarm Optimization. An objective function describing the operation. of the plant was developed and found applicable for proposed bio-inspired approach. The research results have shown that proposed methodology is efficient for all simulated weather conditions and various boundary conditions. Comparison the obtained results with non-optimal parameters confirms huge profits from applying right settings of the system.