Nowadays, the renovation program is being implemented in the megapolises of Russia. Innovative high-rise buildings are built instead of morally and physically obsolete houses, where non-traditional renewable energy sources are used to the fullest extent, under the effect of which they are located. The possibility to use solar systems with variation of their design parameters is considered. It is established that solar systems have high technical potential. The share of heat load, that is provided by using solar energy, varies from 4 to 84% depending on the time of the year. Economic indicators restrain the use of such panels. The payback period is about 8 years at the current cost for thermal energy.
In the process of plasma-electrolytic synthesis, a new physical surface is synthesized, consisting of a metal oxide layer of a modified surface and the synthesis of elements of a set of electrolyte plasma, the nodal sources of the components of which are the components of the electrodes (electrolyte and metal surface). In this regard, the classification of plasma
electro-discharge processes based on analyzing optical and electrical sensor data using machine learning methods is an actual task. It can be used for intelligent control algorithms of the sensor layers operations and conduct analytical and quantitative studies of the properties of nodal substances. The paper presents the experimental analysis of video and electrical parameters of the oxygen process, automated processing of the basic features of images of plasma-electrolyte discharges, and a segmentation approach of the electric-discharge machining. This approach can help create microsensor elements and materials and systems for intelligent modeling and launching of electrochemical methods for creating an electrolyte plasma and directed synthesis of substances. To test the performance of the proposed algorithm, the database STANKIN is used.
Non-traditional renewable energy resources (solar radiation, wind energy, etc.), alternative thermal and electric generators have incontestable positive qualities in comparison with fossil fuel (natural gas, coal, fuel oil), classical systems: relative environmental friendliness, vast total reserves, low operational costs, reliability, ease of management. The scale of their implementation in the Central Black Earth Region can be limited by high initial capital investments, the value of the energy resource, and low awareness of the population. The article presents the results of modeling solar plants functioning during their integration into traditional energy systems of apartment residential buildings. In the article we demonstrate technical and economic indicators of projected and modernized engineering heating services in the city of Voronezh. The technically viable period of use is spring-summer-autumn. Economic indicators put solar systems into the experimental category.
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