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EN
Glass manufacturing is a high-volume process during which large quantities of natural raw materials are turned into commercial products, with large amounts of non-renewable resources and energy consumed in the process. Therefore, it is critical to support the transition to higher levels of energy and material efficiency, CO 2 emissions and increased resource productivity. The main objective of this paper is to present the results of a simulated correlation study considering the age of the glass furnace, cullet share in the process and batch composition of the glass produced, and their influence on the coefficient of energy consumption. In this work, the quoted dependencies were observed. Identification of relations influencing energy consumption enables optimization of particular technological parameters of the process. Industrial companies are expected to reduce energy consumption in several ways, including technological improvements in production processes and recover lost energy, and recycling of recyclables from waste. Therefore, studies such as this one allow industrial companies to research and learn from, and implement solutions to meet global regulatory and market expectations.
EN
The paper addresses the problem of determination of the energy and momentum coefficients for flows through a partly vegetated channel. These coefficients are applied to express the fluid kinetic energy and momentum equations as functions of a mean velocity. The study is based on laboratory measurements of water velocity distributions in a straight rectangular flume with stiff and flexible stems and plastic imitations of the Canadian waterweed. The coefficients were established for the vegetation layer, surface layer and the whole flow area. The results indicate that the energy and momentum coefficients increase significantly with water depth and the number of stems per unit channel area. New regression relationships for both coefficients are given.
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