Comparative Weibull distribution methods for reliable global solar irradiance assessment in France areas

Kam, Olle Michel; Noël, S.; Ramenah, Harry; Kasser, Pierre; Tanougast, Camel

doi:10.1016/j.renene.2020.10.151

Cited by 30 publications

(8 citation statements)

References 35 publications

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“…It is indeed interesting as previous literature did also report on fitting Weibull distribution to irradiance data. [ 38–41 ] Plots in Figure show the Weibull distribution for container vessels, bulk vessels, and the whole fleet. Equation () gives the continuous probability function when the scale and shape factors are larger than zero.

f false(x, λ, κ false) = \frac{κ}{λ} {(\frac{x}{λ})}^{κ - 1} e^{- {(\frac{x}{λ})}^{κ}}

where κ > 0 is the shape parameter and λ > 0 is the scale parameter.…”

Section: Resultsmentioning

confidence: 99%

Photovoltaic Potential of the Dutch Inland Shipping Fleet: An Experimentally Validated Method to Simulate the Power Series from Vessel‐Integrated Photovoltaics

Jong

Ziar

2022

Solar RRL

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Despite a drop during the COVID pandemic, the CO 2 emission from transportation has increased again. Globally, transportation emitted 8.5 Gton of CO 2 in 2019, [1] which accounts for 14% of CO 2 emissions, including water-based transportation. [2] Waterbased transportation emits % 2% of the global CO 2 . [1] Several subsectors of transportation, such as trucks and buses, aviation, and shipping, are not on track with meeting the global targets. Only EVs are growing rapidly but no direct impact on CO 2 reduction has been observed yet [3] as EVs are charged by grid electricity that is still dominated by fossil fuels. This imposes the necessity to introduce renewable energy, both in the grid and onboard vehicles, to achieve the actual reduction of CO 2 . [4] Large transportation vehicles, such as trailers and vessels, benefit from relatively large areas, where conventional photovoltaic (PV) technologies can be integrated. [5][6][7] Therefore, to make the transportation sector more sustainable, the surface of vessels can also be used for onboard PV module installation.The Netherlands has the largest fleet in Europe, making up 38.4% of the European shipping fleet. [8] As the largest European fleet, the Dutch inland shipping industry aims to be climate neutral and emissionfree by 2050. To meet this goal, the propulsion of the inland shipping vessels needs to change from diesel-powered to dieselelectric (short term), battery-electric (medium term), and hydrogen-fuel cell (long term). [9] The inland fleet consists of 5060 vessels, with various types, such as general cargo vessels. [10] General cargo vessels seem to be suitable for the implementation of PV modules. There are a couple of advantages of these vessel types that make them suitable for the implementation of PV modules. These ships have little equipment installed on top of their deck. General cargo ships have a relatively large surface area that is only used to store goods, the hold, which can be smartly integrated with PV modules (see Figure 1 as an example). Above this hold, PV modules can be integrated. All ships of this type look similar. The ship is designed as rectangular as possible, to be able to transport as many goods as possible onboard. The wheelhouse is located at the back, before that there is the hold of the vessel. After the vessel's hold, there is a small part that contains the necessary equipment, such as anchors and cranes. From the complete inland shipping fleet, 79% of the vessels are general cargo inland vessels. [10] As electric vessels have batteries onboard, one can envision a fleet of urban vessels as a fleet of small PV power plants that supply power to the electrical grid whenever needed. Decentralized energy production will also lower the power losses due to less transmission. The same applies to electric cars or future solar cars.However, assessing the PV power that a vehicle can produce is challenging. [11] Unlike a stationary PV plant, modules on a vehicle move around and their ambient and surrounding changes.

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f false(x, λ, κ false) = \frac{κ}{λ} {(\frac{x}{λ})}^{κ - 1} e^{- {(\frac{x}{λ})}^{κ}}

where κ > 0 is the shape parameter and λ > 0 is the scale parameter.…”

Section: Resultsmentioning

confidence: 99%

Photovoltaic Potential of the Dutch Inland Shipping Fleet: An Experimentally Validated Method to Simulate the Power Series from Vessel‐Integrated Photovoltaics

Jong

Ziar

2022

Solar RRL

View full text Add to dashboard Cite

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“…Regional map analysis helps with the visualization of the current scenario of irradiance falling on the region. Global irradiance data can be a powerful tool in the accurate prediction of the solar potential of a region [36]. The global horizontal irradiation data can give a brief idea of the yearly irradiation observed in the region.…”

Section: Regional Map Analysismentioning

confidence: 99%

Trendline Assessment of Solar Energy Potential in Hungary and Current Scenario of Renewable Energy in the Visegrád Countries for Future Sustainability

et al. 2021

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This article aims to present some opportunities for improved solar energy utilization by raising the share of renewables in energy generation in the Visegrád Countries (Poland, Czech Republic, Slovakia, and Hungary). The analysis is based on the status of the renewable energy targets in the member countries and their future possibilities. This paper derives input through a thorough investigation of independent data, government policies, European Commission reports, and other data available online with free access. The analysis is processed by focusing on Hungary, as a country with various possible facets of solar energy demand and supply in the region. The assessment methodology is in the context of a geographical map, technical regression analysis, temperature distribution profiles, and the relative trends of solar potential in Hungary. The country currently has ten solar power plants with more than 10 MWp, and five remarkable plants under 10 MWp capacity spread over Hungary. The analysis on geographical aspects clubbed with technical and solar affecting parameters was carried out to harvest the sustainable potential of solar energy in the region. This study attempts to establish a relationship between the current and future prospects of solar energy in Hungary as a nation, and as part of the Visegrád countries, based on assessment for a sustainable future.

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“…Additionally, literature sources indicated that the empirical distribution of horizontal insolation did not show similarity to the normal distribution and was best approximated by the beta distribution [32][33][34][35][36]. The sources also indicated that, for some seasons and latitudes, the empirical distribution may be approximate to the Weibull distribution [33,[36][37][38] commonly used for wind speed analyses, as well as the log-normal [33] or gamma distribution [33,35].…”

Section: Descriptive Statistics Of the Analyzed Variablesmentioning

confidence: 99%

The Impact of Electricity Consumption Profile in Underground Mines to Cooperate with RES

2021

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In Poland, a dynamic increase in the share of renewable energy sources in the national energy mix has been observed in recent years. Until now, these were mainly installations used for the needs of single-family houses and large-scale installations used on the RES auction market. However, due to the fact that the carbon footprint of the offered products is taken into account, this aspect is becoming more and more important. The carbon footprint can be offset by, among others, by covering the energy needs of the industrial plant by its own renewable energy sources. The article analyzes four sample electricity demand profiles of production plants operating in the mining industry, mainly located in Upper Silesia. Using statistical methods, the fitting of potential photovoltaic sources production profiles to the electricity consumption profiles in the analyzed case studies was checked. The analysis was carried out for each hour of the day and for the profiles weighted by the electricity price from the Polish Power Exchange on the Day-Ahead Market, because matching profiles at different hours has a different monetary value and, as a result, a different impact on operation costs. The highest correlation coefficient between electricity consumption and insolation on an annual basis was −0.29 in the Spearman rho-statistic for the case of M1 enterprise. On the other hand, the highest value at the level of 0.48 was achieved by the Pearson r-correlation coefficient determined on a monthly basis between the monetary value of electricity consumed and insolation in June for the M2 enterprise.

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Comparative Weibull distribution methods for reliable global solar irradiance assessment in France areas

Cited by 30 publications

References 35 publications

Photovoltaic Potential of the Dutch Inland Shipping Fleet: An Experimentally Validated Method to Simulate the Power Series from Vessel‐Integrated Photovoltaics

Photovoltaic Potential of the Dutch Inland Shipping Fleet: An Experimentally Validated Method to Simulate the Power Series from Vessel‐Integrated Photovoltaics

Trendline Assessment of Solar Energy Potential in Hungary and Current Scenario of Renewable Energy in the Visegrád Countries for Future Sustainability

The Impact of Electricity Consumption Profile in Underground Mines to Cooperate with RES

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