International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The development of neural algorithms opens new perspectives for the analysis of technological processes. Particularly relevant are strongly nonlinear and complex objects, such as power plants. One of the modern solutions enabling data analysis are convolutional neural networks (CNNs). The research presents the application of CNNs to monitor and optimize combustion processes in biomass boilers. The fuel analyzed was gray straw, which is difficult to control due to the nature of combustion. The proposed technique is based on the processing of temporal data, which represent different stages of the combustion process. The work examined the effectiveness of the model in identifying key operating parameters and detecting the stages of firing from ignition initialization to nominal operation. Analysis of images of parameter curves from the time waveforms makes it possible to capture repeatable relationships that enable faster response to future changes in the conditions of the combustion process. Determining the phase of the process, based on data and trends of selected parameters, allows the control system to react faster, without operator intervention. As a result of the study, the efficiency of process stage change detection by the convolutional network, expressed by means of an error matrix, through the F1-score parameter (harmonic mean between precision and sensitivity) was achieved at a level close to 96%. The proposed solution can be effectively applied to a number of technological processes including those that are part of Industry 4.0 effectively influencing technological transformation..

The economic benefits have been also addressed, evaluating the energy production and distribution throughout the year and cost of electricity generation for small PV plants up to 2MW. Renewable energy sources, including solar, wind, hydropower, biofuels and other renewable sources that may be developed in the future are the main focus of the energy transition ensuring a safe step on the path to an intensity system. low energy, with minimal impact of greenhouse gases (GHG) and with a minimal cost for end users. Over the last two years PV systems have attracted a large amount of monetary and investment globally, especially in EU countries. The responsible ministry (MEI) and its subordinate institutions have drafted and approved the “National Strategy of Energy 2018-2030 “, consisting of 6 possible scenarios of energy transition towards a sustainable, reliable and diversified energy system. The national strategy seeks to meet its objectives based on Renewable Energy Sources (RES) and Energy Efficiency (EE). Hence, the economic aspects and identification of the most influenced parameters is identified and highlighted.

A lot of economic analyses have been conducted in the last ten years to establish the most cost-effective solution for irrigation and evaluation of the project profitability. The benefits generated by the PVWP providing water by a submersible pump located inside a deep well have been highlighted for Divjaka region. The solar potential in the site is quite enough to be used to pump water from the deep well into the tank positioned at an effective altitude which can provide the water quantity and pressure by gravity. The study shows that installing a PVWP system represents the best technical and economic solution to drive a water pump that provides water for sprinkler irrigation. The economic benefits have been also addressed, evaluating the energy production and distribution throughout the year and the specific cost per m3 of water supplied (€/m3). Renewables are the key to enhance food and water security, drive agri-food productivity, leading to socioeconomic benefits in recovering from post-Covid-19. By combining our knowledge, data collected, surveys together can contribute to economic growth of our community-ensuring access to clean and affordable energy and raising the standard of living of rural and most vulnerable communities. In the area there are used two types of water pumping for irrigation purposes: Diesel driven water pumps and electricity powered water pumps. Both systems are very costly due to the high fuel cost and on the other hand self-investment to bring electricity from the national distribution lines are needed.