Modeling Energy-Efficient Consumption at Industrial Enterprises

Harmonious integration of renewable energy sources into current energy systems has taken on increasing importance amid the scarcity of carbon resources. Among the key problems is the imbalance in power consumption, power generation, and significant peak overloads. To deal with this issue, an intelligent software and hardware system is needed, which will effectively implement predictive control algorithms for various energy sources. The research examines the fundamental provisions of the concept of predictive control over a variable load hybrid power system on the basis of power output forecast. The analysis performed has allowed developing a method of predictive control over the power system in a small locality based on machine learning algorithms. The method was tested using an electric power complex simulation, which included four energy sources (solar panel, wind turbines, small hydrogenerator, and standard carbon-fueled generator). The proposed predictive control method has proved to be productive. The algorithms have allowed diversifying the reliability of power supply by ensuring the sustainability of the power grid.

Section: Wind Turbinesmentioning

confidence: 99%

Section: Wind Turbinesmentioning

confidence: 99%

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

Vlasov

Artemiev

Selivanov

et al. 2022

“…In the article "Modeling Energy-Efficient Consumption at Industrial Enterprises" energy efficiency issues are explored at the microlevel, and the authors point out on similar conceptual models of energy consumption used by manufacturers in different fields of the economy, that allows developing a universal solution for modeling these processes. The main problem of modeling is to find an adequate target function based on several parameters of energy consumption and energy efficiency (Todorov et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Economic Growth Modeling for the Republic of Kazakhstan Based on the Higher Energy Efficiency Level

Ongdash¹,

Omirtay²,

Bayetova³

et al. 2020

The research on high energy efficiency achievement is believed to be relevant because this issue of energy policy is currently considered as one of the main tools for modernization of the industry of the Republic of Kazakhstan. Thus, in spite of the significant energy potential, Kazakhstan is much behind developed countries regarding energy efficiency values. So the goal of the research is to develop a model describing conditions how to achieve energy efficiency as a factor in the sustainable economy development in Kazakhstan. The following methods were used in the research: (1) Mathematical statistics: the Pearson r-coefficient was calculated at the stage of searching the correlation between energy efficiency and GDP dynamics. The Pearson's r was determined (−0.31) to be negative and weak, confirming the hypothesis that the energy efficiency state does not significantly affect the Kazakhstan GDP dynamics; (2) cognitive modeling: a cognitive map was developed to analyze the relationship between the energy efficiency and the economic development of Kazakhstan, to determine the economic development potential by refusing global energy efficiency projects and solving local problems related to reduced cost of energy resources instead.

“…The ensured operational efficieny in power supply systems together with RES is one of the main objectives. At the same time, keep in mind that production enterprises face the need in the ensured uninterrupted power supply to their production processes (Todorov et al, 2019). Adaptive RES management meets such requirements the most with some functions decentralized.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Todorov¹,

Vlasov

Volkova

et al. 2020

Self Cite

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.