Justification of the selection of renewable energy sources taking into account load schedules in conditions of uncertainty

Authors

  • V. Kryvonosov National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • I. Antypov National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • S. Makarevych National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • A. Petrenko National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • V. Kryvonosov National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • S. Afinovych National University of Life and Environmental Sciences of Ukraine image/svg+xml

DOI:

https://doi.org/10.31548/energiya6(76).2024.044

Abstract

One of the indicators that allows analyzing the decrease in profit is the specific value of energy costs per unit of produced product.

This indicator can be both general for the enterprise and inter-departmental. It affects the increase in cost, determining the causes of quality deterioration and lack of demand, which make products uncompetitive.

The increase in the value of this indicator is associated with uncertain interruptions of energy that the enterprise receives from the electric power system (EPS). The uncertainty lies both in the duration of the interruption and in its duration.

The article analyzes literary sources devoted to determining the methods of selecting renewable energy sources. The most modern is the method based on probabilistic statistical data. The paper considers load schedules obtained during the study of the efficiency of the enterprise, the reliability of technical accounting, the study of electricity quality indicators and the identification of the required capacity of renewable energy sources. The introduction of the coefficient of probable power supply interruptions allows to correctly justify the choice of the RBV. The article states that determining the coefficient of probability of power supply interruption allows to clarify the capacity of renewable energy sources. Taking into account the growth of energy costs per unit of production will allow to plan the operation of the enterprise in conditions of uncertainty of outages.

Key words: load schedule, renewable energy sources, probability, specific costs per unit of production

References

Statystychnyi zvit (IRENA) za 2021 r. [Statistical report (IRENA) for 2021]. Available at: https://avenston.com/articles/renewable-capacity-2021.

Karmazin, O.O. (2019). Balansova nadiinist elektroenerhetychnykh system v umovakh zrostannia chastky vidnovliuvanoi enerhetyky [Balance reliability of electric power systems in the context of an increase in the share of renewable energy]. Dissertation for the degree of Candidate of Technical Sciences “Conversion of Renewable Energy Types”. Institute of Renewable Energy of the National Academy of Sciences of Ukraine. Kyiv, 2019.

Komar, V. O. (2019). Otsiniuvannia yakosti funktsionuvannia elektrychnykh merezh z vidnovliuvanymy dzherelamy enerhii [Assessment of the quality of functioning of electric networks with renewable energy sources]. Dissertation for the degree of Doctor of Technical Sciences in the specialty 05.14.02 – power plants, networks and systems. Vinnytsia National Technical University, Vinnytsia, 2019. Lviv Polytechnic National University, Lviv, 2019.

Shchur, I., Galayko, T., Dzyoba, T. (2021). Ekonomichna efektyvnist soniachnoi elektrostantsii v indyvidualnomu domohospodarstvi za riznykh stsenariiv dynamiky «zelenoho» taryfu [Economic efficiency of a solar power plant in an individual household under different scenarios of the dynamics of the "green" tariff]. SEPES.2021, 3(2), 87 – 102. Available at: https://doi.org/10.23939/sepes2021.01.087

Vovk, O., Boyarynova, K., Kravchenko, M. (2024). Proiektno-analitychnyi instrumentarii doslidzhennia efektyvnosti innovatsiinoi diialnosti [Design and analytical tools for researching the effectiveness of innovative activity]. Economy and society, 66. Available at: https://doi.org/10.32782/2524-0072/2024-66-90

Hamed Haggi James M. Fenton (2024). Techno-Economic Assessment of Net-Zero Energy Buildings: Financial Projections and Incentives for Achieving Energy Decarbonization Goals. December 2024. DOI:10.48550/arXiv.2412.00874.

Xue Wang, Xiaolei Zhang, Jianqi Song (2023). The analysis of solar energy investment, digital economy, and carbon emissions in China Sec. Solar Energy, 11. Available at: https://doi.org/10.3389/fenrg.2023.1183857

Published

2025-02-11

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