For the optimal location of an additional surplus measurements in the design of redundant measurements system, from data reconciliation point of view, of thermal processes, an information entropy has been applied. The relative entropy - Kullback-Leibler divergence, has been used. As a criterion of the optimal location of an additional surplus measurements in a system of measurements data, the minimum of the entropy information of reconciled measurements data has been assumed. Hence, the objective function in the described optimization task is maximum of the relative entropy - Kullback-Leibler divergence concerning sets of raw and reconciled measurements data. Simulation calculation with application of data reconciliation algorithm and Monte Carlo method concerning the influence of installation of the additional surplus measurements on decrease of entropy information of measurements after data validation have been carried out. The example calculations concerned the cross high-pressure heat regeneration system with cascade flow of condensate installed in 153 MW power unit equipped with cooler of steam are presented. Calculations for all variants of configurations of an additional surplus measurements in the analyzed thermal system have been done. Usefulness of the proposed Kullback-Leibler divergence as a objective function has been demonstrated.

Biomass is commonly considered as a renewable fuel, which taking into account emission of CO2 does not contribute to the emission of the greenhouse gases. In the research, combustion tests of two types of fuel formed on the basis of straw with addition of polyethylene were performed in the laboratory. The article presents results of measurements of gas pollution coming from the combustion of the formed fuel. Obtained results were compared with similar literature data for the combustion of coal. The research covers also testing of chemical content, content of heavy metals and selected physical properties of ashes generated during the process of burning fuel based on straw.