Reliability-Oriented Design of a Solar-PV Deployments

Kut, Paweł; Pietrucha-Urbanik, Katarzyna; Tchórzewska-Cieślak, B.

doi:10.3390/en14206535

Cited by 10 publications

(6 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Better detection accuracy can be achieved by means of more advanced methods, including artificial intelligence (AI)-based methods. For example, there are the failure modes and effects analysis (FMEA) [63,64] or the methods applying machine learning, including artificial neural network (ANN)-based methods [65,66], and deep learning [67] approaches.…”

Section: Condition Monitoringmentioning

confidence: 99%

A Review of the Mitigating Methods against the Energy Conversion Decrease in Solar Panels

Szabó

2022

Energies

View full text Add to dashboard Cite

Using solar panels is one of the cleanest ways to generate electricity ever created by mankind. The efficiency of rapidly expanding solar panels decreases during their lifetime for several reasons, such as photodegradation, hot spots, potentially induced degradation, etc. Dirt and debris accumulation on the surface of the solar panels can also significantly contribute to their performance degradation due to the diminishing of the solar radiation reaching their active surfaces. Numerous degradation mitigation methods are cited in the literature. This article briefly outlines these basic measures.

show abstract

Section: Condition Monitoringmentioning

confidence: 99%

A Review of the Mitigating Methods against the Energy Conversion Decrease in Solar Panels

Szabó

2022

Energies

View full text Add to dashboard Cite

show abstract

“…As a result, Energies 2024, 17, 176 2 of 23 renewable energy sources have become increasingly central in the energy strategies of numerous nations, with Poland and Germany being no exception [4,5]. This transformation reflects a global shift towards more sustainable and environmentally responsible energy practices [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Bibliometric Analysis of Renewable Energy Research on the Example of the Two European Countries: Insights, Challenges, and Future Prospects

Kut,

Pietrucha-Urbanik

2023

Energies

Self Cite

View full text Add to dashboard Cite

Renewable energy sources, encompassing wind, solar, hydro, and geothermal options, are assuming an increasingly crucial role in the global energy landscape. They present a sustainable substitute for fossil fuels, effectively reducing greenhouse gas emissions and significantly contributing to the ongoing efforts against climate change. The widespread adoption of renewable energy technologies has undergone rapid expansion on a global scale, propelled by governmental policies, technological advancements, and decreasing costs. Despite their numerous advantages, renewable energy sources encounter challenges such as intermittent energy supply, storage solutions, and integration into existing power grids. Nevertheless, with sustained investment and innovation, renewable energy sources have the potential to become the predominant energy source of the future. This article conducts a bibliometric analysis of research on renewable energy sources in Poland and Germany. The analysis is grounded in publications catalogued in the Web of Science database, spanning the years from 1990 to 2023. The investigation delves into research topics related to renewable energy sources and scrutinizes the most frequently cited publications authored by individuals from these two countries. This bibliometric analysis stands out through its unique value proposition compared to other similar studies by placing a distinctive emphasis on critical research gaps, such as energy storage, smart grid technologies, and renewable energy in transportation. Additionally, the study’s focus on the specific trajectories of Poland and Germany in renewable energy adoption, coupled with the identification of key institutions with the highest centrality index, provides unparalleled insights into the evolving landscape of sustainable energy research. The findings from this study can serve as a valuable source of information for policymakers, researchers, and other stakeholders interested in promoting the advancement and utilization of renewable energy sources.

show abstract

“…In recent years, solar energy has been widely regarded as one of the largest green energy and plays a major role in modern power system (Ndebele, 2020). Combined with the "carbon peak and carbon neutral" target proposed by China (Qian et al, 2022), it is expected that by 2030, the installed capacity of domestic PV power generation will exceed 1000 GW (Kut et al, 2021., Meanwhile, by the end of 2021, the cumulative installed solar power capacity in Germany reached 66.5 GW and is expected to exceed 100 GW by 2030. In addition, Australia's installed capacity has also reached 25.3 GW (Ali et al, 2019;Apeh et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

An optimal energy storage system sizing determination for improving the utilization and forecasting accuracy of photovoltaic (PV) power stations

Li²,

Yan³

et al. 2023

Front. Energy Res.

View full text Add to dashboard Cite

As a new type of flexible regulation resource, energy storage systems not only smooth out the fluctuation of new energy generation but also track the generation scheduling combined with new energy power to enhance the reliability of new energy system operations. In recent years, installing energy storage for new on-grid energy power stations has become a basic requirement in China, but there is still a lack of relevant assessment strategies and techno-economic evaluation of the size determination of energy storage systems from the perspective of new energy power stations. Therefore, this paper starts from summarizing the role and configuration method of energy storage in new energy power stations and then proposes multidimensional evaluation indicators, including the solar curtailment rate, forecasting accuracy, and economics, which are taken as the optimization targets for configuring energy storage systems in PV power stations. Lastly, taking the operational data of a 4000 MWPV plant in Belgium, for example, we develop six scenarios with different ratios of energy storage capacity and further explore the impact of energy storage size on the solar curtailment rate, PV curtailment power, and economics. The method proposed in this paper is effective for the performance evaluation of large PV power stations with annual operating data, realizes the automatic analysis on the optimal size determination of energy storage system for PV power stations, and verifies the rationality of the principle for configuring energy storage for PV power stations in some regions of China.

show abstract

Reliability-Oriented Design of a Solar-PV Deployments

Cited by 10 publications

References 31 publications

A Review of the Mitigating Methods against the Energy Conversion Decrease in Solar Panels

A Review of the Mitigating Methods against the Energy Conversion Decrease in Solar Panels

Bibliometric Analysis of Renewable Energy Research on the Example of the Two European Countries: Insights, Challenges, and Future Prospects

An optimal energy storage system sizing determination for improving the utilization and forecasting accuracy of photovoltaic (PV) power stations

Contact Info

Product

Resources

About