An Energy Efficiency Estimation Procedure for Small Wind Turbines at Chosen Locations in Poland

Zalewska, Justyna; Damaziak, Krzysztof; Małachowski, Jerzy

doi:10.3390/en14123706

Cited by 9 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, for solar power plants in the US, the indicators fluctuate within 10-12 years [68] and 16-22 years in the United Kingdom [69]. In the meantime, the average payback period of small wind power plants in the US is 15 years [70], and, in Poland, when they are located in areas with the best wind speed, it is 13 years [71]. In our opinion, Ukraine should be guided by world experience, ensuring, by economic incentives, a payback period of RE plants of different installed capacities of 10-13 years.…”

Section: Evaluation Of the Cost Of Electricity Produced By Re Power P...mentioning

confidence: 99%

Improving the Feed-in Tariff Policy for Renewable Energy Promotion in Ukraine’s Households

Kurbatova,

Sotnyk,

Prokopenko

et al. 2023

Energies

View full text Add to dashboard Cite

This paper deals with improving the feed-in tariff policy for green energy advancement in Ukraine’s households based on assessing the economic efficiency of investment project implementation under the current state support mechanisms. This study was conducted for solar and wind power plants with different installed capacities. The Levelized Cost of Electricity and the payback period for such power plants were calculated considering the ongoing feed-in tariffs and discount rates determined by various equity and debt capital ratios. The results showed that the state support provides attractive payback periods for solar and wind power plants with an installed capacity of ≥30 kW. In comparison, 5 kW solar power plants and wind power plants with a capacity of up to 10 kW are not paid off during the power plants’ lifecycle. It confirmed that the ongoing energy policy in Ukraine’s residential sector is still designed to obtain profits by the owners of generating facilities by selling the excess electricity. In the meantime, its main goal—providing households energy independence—has been levelled. To resolve the issues caused by such a state support model, a methodical approach to improve the feed-in tariff calculation is proposed. In addition, recommendations for reconsidering other policy measures to ensure effective renewable energy development in the residential sector have been made.

show abstract

Section: Evaluation Of the Cost Of Electricity Produced By Re Power P...mentioning

confidence: 99%

Improving the Feed-in Tariff Policy for Renewable Energy Promotion in Ukraine’s Households

Kurbatova,

Sotnyk,

Prokopenko

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

“…The cost of energy (COE) was also calculated for each considered case. COE is a metric used to assess the costs of electricity generation [19]. For one year of turbine operation, the formula for COE is as follows:…”

Section: Calculated Annual Energy Production and Cost Of Energy From ...mentioning

confidence: 99%

Viability and Performance Investigation of Small Wind Turbines

Celeska Krstevska,

Stoilkov,

Dimčev

2023

JEEIT

View full text Add to dashboard Cite

In the past decades, extensive and exhaustive research has been done on the analysis of the operation of large wind turbines, but detailed analyses on small wind turbines are still rare. In addition, two current situations are considered: i) the exhaustion of the possibilities for designing new large wind fields, and ii) the energy crisis, which is particularly current in Europe, so it comes naturally to analyze the possibilities for exploitation of small wind turbines defined according IEC 61400-2 standard. The paper analyzes five potential locations in North Macedonia. Based on two-year measurement period at those locations, the probability distribution of wind speeds was obtained and integrated with the power curve for a specific turbine, the electricity production of four different, commercially available, small wind turbines was investigated. Three wind turbines are horizontal axes wind turbines, with installed power in the range of 3-50 kWp, and one is vertical axis wind turbine with installed power of 4 kWp. In accordance with the Rulebook for amending and supplementing the rulebook for renewable energy sources from June 2022, calculations have been made for the profitability of energy production from grid-connected small wind turbines. Finally, a graphical comparative analysis of different models of small wind turbines for all locations is presented, and conclusions and further directions and recommendations for optimal utilization of wind energy are given.

show abstract

“…Individual consumers are also increasingly investing in SWTs to partially meet their household needs for electricity or hot water. The growing interest in the construction of private wind farms may reflect a greater awareness of the negative effects of imminent climate changes and greenhouse gas emissions [7,8]. This is why research on small wind turbines is becoming increasingly important.…”

Section: Introductionmentioning

confidence: 99%

“…In the study, the actual wind data from the monitoring of four turbines with different locations and models were used. Turbine performance is influenced by environmental and technological factors, for example, local wind conditions, wind speed, turbulent wind gusts, Betz limit and Tip-Speed Ratio [7,46]. In this study, Markov models were implemented as one of the most popular tools for estimating readiness and reliability.…”

Section: Introductionmentioning

confidence: 99%

Stochastic operation model for readiness assessment of small wind turbines based on Markov theory

Zalewska‐Lesiak,

Małachowski,

Szkutnik‐Rogoż

2023

IET Renewable Power Gen

Self Cite

View full text Add to dashboard Cite

Wind energy is now one of the most important alternative sources of renewable energy. The development of wind power generation is a prerequisite to meet environmental and sustainable development requirements while achieving energy security goals. The condition for the effectiveness of the proper operation of a wind power plant is its ability to perform the intended functions, which can be expressed by the coefficient of technical readiness. This article presents an original analysis of the readiness of small wind turbines. As part of the research, an original stochastic operation model was developed based on the application of the Markov process theory. Based on the collected data, a 3‐state phase space of the studied process was identified. Various analyses were carried out to calculate the operating coefficients of wind power plants. The ergodic (boundary) probabilities were calculated using three methods. The conditional probabilities were then determined based on the initial distribution. The resulting readiness factors, not exceeding 30%, indicate the low operational efficiency of the small wind turbines in question. Furthermore, an analysis of the sensitivity of the performance factors was carried out for the analysed objects.

show abstract

An Energy Efficiency Estimation Procedure for Small Wind Turbines at Chosen Locations in Poland

Cited by 9 publications

References 27 publications

Improving the Feed-in Tariff Policy for Renewable Energy Promotion in Ukraine’s Households

Improving the Feed-in Tariff Policy for Renewable Energy Promotion in Ukraine’s Households

Viability and Performance Investigation of Small Wind Turbines

Stochastic operation model for readiness assessment of small wind turbines based on Markov theory

Contact Info

Product

Resources

About