Statistical analysis of the electric energy production from photovoltaic conversion using mobile and fixed constructions

Bugała, Artur; Bednarek, Karol; Kasprzyk, Leszek; Tomczewski, Andrzej

doi:10.1051/e3sconf/20171901002

Cited by 14 publications

(5 citation statements)

References 27 publications

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“…Considering the available dataset and the type of variables Kruskal-Wallis test was applied. This nonparametric method is the extended version of the Mann-Whitney U test (Bugała et al, 2017). This statistic could identify whether the data comes from the same distribution.…”

Section: Methodsmentioning

confidence: 99%

An Empirical Evaluation of Information Sharing's Impact on Profitability; Evidence from the Solar Sector

Csordás,

Füzesi

2023

AOL

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The role of online marketing is significant. Businesses strive to maximize their profit, and there are low-budget but efficient digital solutions for this aim. Social media sites are not just a connection point but also a great surface to collect information regarding products and/or companies. Even though these free opportunities are often used, websites are the „classical” standalone digital surfaces used for marketing purposes. SEO (Search Engine Optimization) provides various techniques to improve the companies' websites' SERP (Search Engine Result Page). In addition, it could provide even statistically proven financial benefits. The current study analyzes the SEO’s influence on the financial performance of SMEs in the solar sector. The nationwide study based on the Kruskal-Wallis test revealed the importance of connecting social media sites to the company's website. The proper Social SEO results in significantly higher after-tax profit. Regarding the first contentful paints (first feedback to the browser about the website loading), the Pearson correlation coefficients showed up moderately strong, positive, significant relationships with many financial indicators.

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Section: Methodsmentioning

confidence: 99%

An Empirical Evaluation of Information Sharing's Impact on Profitability; Evidence from the Solar Sector

Csordás,

Füzesi

2023

AOL

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“…2 it was found that, on a yearly basis, 1 kW of capacity installed in a PV system will generate 1,060 kWh, which results in a capacity factor of 12.1%. Such values are common for this part of Europe [9]. The way how residual load and selfconsumption were calculated are provided in section 3.1.…”

Section: Methodsmentioning

confidence: 99%

Energy self-consumption from PV systems: estimations for two office buildings in Krakow (Poland)

Jurasz

Mikulik

2019

E3S Web Conf.

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The analysis presented in this paper focuses on the energetic aspects of the use of photovoltaic (PV) systems in office buildings. Energy generation from PV system has been simulated on an hourly time scale and compared with the energy demand of two office buildings located in Krakow (southern Poland). The buildings' annual load exceeded 1 GWh in both cases. The analysis dealt with estimating how much energy generated by a PV system can be utilized on-site (self-consumption) and how big the energy surpluses will be (energy generation greater than demand). Capacities of PV systems ranging from 0.1 to 1.0 MW have been considered. Also, the impact of PV generation on the residual load parameters and changes in the maximal monthly and hourly energy demand were investigated. The results show that although the building energy demand is similar (in terms of annual volume of energy consumed) the potential of PV systems to cover it is different. The 100-kW PV system can reduce the observed hourly peak energy demand by 1% in December but by over 30% in June (respectively, from 171 kWh to 169 kWh, and from 333 kWh to 255 kWh). Considering the annual patterns of the office buildings' energy demand and PV generation (both have their respective peaks in summer), the application of a PV system changes the office building energy demand pattern significantly from the perspective of the power system operator. After installing 500 kW PV in an office building consuming 1 GWh annually, the months with highest demand are no longer in summer but in winter.

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“…Moreover, the document also includes the following provisions: the share of energy from renewable sources in the energy consumed in the EU is to be at least 27%. To this end, EU countries should establish common goals and implement them ambitiously [43,[54][55][56][57][58][59][60].…”

Section: Renewable Energy Sources and The Energy Policy Of The European Unionmentioning

confidence: 99%

“…Source: Own analyses based on data:[21][22][23][24][25][26][27][54][55][56][57][58][59][60][61][62]76].…”

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confidence: 99%

Development of Photovoltaic Energy in EU Countries as an Alternative to Fossil Fuels

Wolniak

Skotnicka-Zasadzień

2022

Energies

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The aim of the article is to present the development of photovoltaic energy in the EU countries as one of the alternatives to fossil fuels. The article was prepared on the basis of secondary information and statistical data on the photovoltaic energy market in EU countries, and three hypotheses were formulated: H1—There is a statistically significant correlation between a country’s long-term orientation and its use of photovoltaic energy in European Union countries; H2—There is a statistically significant correlation between GDP per capita and photovoltaic energy use in European Union countries; and H3—There is a relationship between climate and photovoltaic energy use in European Union countries. Correlation coefficients and the Guilford classification were used to analyse the data. Data analysis has shown that photovoltaic energy is the second fastest-growing energy source in the EU, after wind energy. In 2020, 134 TWh of solar energy was produced in the EU countries. Based on the analysis, it can be concluded that there is a statistically significant correlation between the production of photovoltaic energy per person and the level of GDP per capita in the EU countries (Hypothesis 2). Germany and the Netherlands produce the most solar energy. The studies did not confirm Hypothesis 3; however, it can be seen that countries such as Germany, Belgium and the Netherlands have the highest PV energy efficiency compared to average temperature values. A data analysis showed statistically significant correlations between the country’s long-term orientation in the use of photovoltaic energy (Hypothesis 1). In the case of Germany and Belgium, the long-term orientation indicator is very high above 80, while Portugal, Poland and Finland have the lowest indicator, from 30 to 40.

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Statistical analysis of the electric energy production from photovoltaic conversion using mobile and fixed constructions

Cited by 14 publications

References 27 publications

An Empirical Evaluation of Information Sharing's Impact on Profitability; Evidence from the Solar Sector

An Empirical Evaluation of Information Sharing's Impact on Profitability; Evidence from the Solar Sector

Energy self-consumption from PV systems: estimations for two office buildings in Krakow (Poland)

Development of Photovoltaic Energy in EU Countries as an Alternative to Fossil Fuels

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