Sustainability in Local Power Supply Systems of Production Facilities Where There Is the Compensatory Use of Renewable Energy Sources

Abstract

Renewable energy has become a promising way to meet growing energy needs in the society. However, operation of power supply systems based on renewable energy sources (RES) depends on a number of uncontrolled factors. This imposes certain restrictions on applications and causes applicationrelated challenges. At this point, the search for the best combination of applied energy sources has been still a key issue. Methodological approaches to the solution to this problem are diverse. The idea of our research is the application of tools from economics and mathematics to measure the best mutual substitution of energy resources in the production facility local power supply system. Authors have considered the possible application of RES through the example of the Russian-based production facility typical in terms of average power consumption and size. Authors chose a solar power plant as a RES. From the simulation results, authors conclude that when using RES, in terms of gross figures, there is about 20-25% less consumption. This makes it possible to achieve the balanced energy consumption from traditional sources throughout a production cycle. Our calculations have showed that, depending on the seasonal prevalence, it is possible to reduce average daily costs for power (in case of compensation from RES) by about 15.75% in the first season, 37.04% in the second season, and 25.44% in the third season. As for time period, in the second season, in the half-peak period (43.68%), we achieve the highest saving, while the lowest saving in the half-peak period of the first season (1.22%). Thus, the application of the solar power plant as a part of the local power supply system of the production facility makes it possible on average to achieve the 13% less energy consumed from centralized sources. It is safe to say that the application of combined sources of power in local power supply systems of production facilities is economically feasible to compensate for peak and half-peak loads. Authors have concluded that the potential of RES at the enterprise might be only developed as that of an additional energy resource and full substitution is impossible.

Predictive Control Algorithm for A Variable Load Hybrid Power System on the Basis of Power Output Forecast

“…Most renewable energy sources depend on external conditions, so it is reasonable to implement a hybrid system that includes renewables-based generating capacities, storage systems, and backup generating capacities based on non-renewable energy sources. At that, it is of high importance to ensure correct automatic switching between different energy sources using the findings of predictive analytics and smart data processing capabilities (Crespo Márquez et al, 2020;Selivanov et al, 2021;Todorov et al, 2020).…”

Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review

“…For example, smart grids can optimize energy consumption, reduce greenhouse gas emissions, increase the reliability of the energy system, and provide consumers with more control over their energy usage [32,33]. Furthermore, the integration of distributed energy resources, including renewable energy sources and electric vehicles, into the smart grid system enables the creation of a more resilient energy system that is less susceptible to blackouts and other disruptions [34].…”

Method of electric vehicle braking energy recovery

“…Professor N.V. Gulia have developed the super-flywheel device and is working on the creation of a supervariator mechanism -a wide-range flywheel drive. An important factor is the ability to save and reuse braking energy [5,6]. Engineers have long tried to preserve the kinetic energy of motion during braking in order to reuse it.…”