Large Photovoltaic Power Plants Integration: A Review of Challenges and Solutions

Mansouri, Nouha; Lashab, Abderezak; Séra, Dezső; Guerrero, Josep M.; Cherif, Adnane

doi:10.3390/en12193798

Cited by 48 publications

(34 citation statements)

References 69 publications

(82 reference statements)

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“…Other authors [33,34] make a radiography of the development of the RESs in the EU member states and highlight the disparities between the Nordic and the southern countries, regarding the degree of the renewable energy use. A benchmarking analysis of the disparities between the EU and non-EU countries regarding renewable energy [35] shows statistically significant differences between the two categories.…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Analyzing the Impact of the Renewable Energy Sources on Economic Growth at the EU Level Using an ARDL Model

Bușu

2020

Mathematics

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Energy is one of the most important drivers of economic growth, but as the population is increasing, in normal circumstances, in all countries of the world, there is a demand for energy produced from conventional resources. Increasing prices of conventional energy and the negative impact on the environment are two of the main reasons for switching to renewable energy sources (RESs). The aim of the paper is to quantify the impact of the RESs, by type, on the sustainable economic growth at the European Union (EU) level. The research was performed for all 28 EU member states, for a time frame from 2004 to 2017, through a panel autoregressive distributed lag (ARDL) approach and causality analysis. Furthermore, Hausman test was performed on the regression model. By estimating the panel data regression model with random effects, we reveal through our results that RESs, namely wind, solar, biomass, geothermal, and hydropower energy, have a positive influence on economic growth at EU level. Moreover, biomass has the highest impact on economic growth among all RES. In fact, a 1% increase in biomass primary production would impact the economic growth by 0.15%. Based on econometric analysis, our findings suggest that public policies at the EU level should be focused on investment in RESs.

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Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Analyzing the Impact of the Renewable Energy Sources on Economic Growth at the EU Level Using an ARDL Model

Bușu

2020

Mathematics

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“…The fast development of the exploitation of solar and wind energy on large scales through the use of photovoltaic (PV) panels [1] has led to the diffusion of multimegawatt plants with very large structures often installed in open fields [2]. This fact has posed the problem of the correct estimation of wind loads [3][4][5] to optimally develop the structural design.…”

Section: Introductionmentioning

confidence: 99%

Wind Flow Characterisation over a PV Module through URANS Simulations and Wind Tunnel Optical Flow Methods

et al. 2021

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Despite their simplicity, photovoltaic (PV) modules are often arranged in structures that can be affected by severe and complex wind loads: in this context, the wind flow and the dynamic excitation induced by vortex shedding can introduce unexpected aeroelastic responses. This work introduces a novel wind tunnel application of experimental techniques to address this issue by the use of flow visualisation and video postprocessing, through the optical flow algorithm. Numerical simulations based on unsteady Reynolds-averaged Navier–Stokes (RANS) models are performed and compared against the experimental wind tunnel tests on a PV panel that was also instrumented with pressure taps. A setup with a 65∘ tilt angle was examined because, based on preliminary analyses, it was considered interesting for the free flow–wake transition associated with the dynamic response of the PV panel. The comparison of the experimental and numerical average wind fields supported that the proposed optical flow method was appropriate for characterising the wake of the panel, because there was enough seeding to perform the video postprocessing. Experiments and numerical predictions were compared as regards the average pressure distribution on the panel surfaces, and the average percentage was in the error of 7%; this supports that the URANS method was capable of reproducing the average behaviour of the panel, as well as for the selected configuration, which is particularly challenging. Furthermore, the simulated and measured power spectral densities of the wind speed were compared, and this resulted in the numerical model quite faithfully reproducing the frequency of the peak at 5 m/s, while the error was in the order of 20% for the 10 m/s case; this supports that, despite the URANS approach being affected by well-known critical points regarding the simulation of instantaneous quantities, it can be employed to elaborate information that can be particularly useful for the structural design of the panel. This kind of result can be considered as a first step, obtained with simplified and affordable methods, towards a characterisation of the dynamic behaviour of a PV panel in a real-world setup.

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“…The global photovoltaic energy generation capacity is increasing rapidly due to efficiency improvements and cost reductions in recent years. It is expected that by 2022, solar PV will be the largest renewable energy source worldwide [1].…”

Section: Introductionmentioning

confidence: 99%

“…PV systems can be connected to the grid at any voltage level and can be classified into three main categories according to their size (power generation) [1]:…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic Generation Impact Analysis in Low Voltage Distribution Grids

et al. 2020

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Due to a greater social and environmental awareness of citizens, advantageous regulations and a favourable economic return on investment, the presence of photovoltaic (PV) installations in distribution grids is increasing. In the future, not only a significant increase in photovoltaic generation is expected, but also in other of the so-called distributed energy resources (DER), such as wind generation, storage, electric vehicle charging points or manageable demands. Despite the benefits posed by these technologies, an uncontrolled spread could create important challenges for the power system, such as increase of energy losses or voltages out-of-limits along the grid, for example. These issues are expected to be more pronounced in low voltage (LV) distribution networks. This article has two main objectives: proposing a method to calculate the LV distributed photovoltaic generation hosting capacity (HC) that minimizes system losses and evaluating different management techniques for solar PV inverters and their effect on the hosting capacity. The HC calculation is based on a mixture of deterministic methods using time series data and statistical ones: using real smart meters data from customers and generating different combinations of solar PV facilities placements and power to evaluate its effect on the grid operation.

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Large Photovoltaic Power Plants Integration: A Review of Challenges and Solutions

Cited by 48 publications

References 69 publications

Analyzing the Impact of the Renewable Energy Sources on Economic Growth at the EU Level Using an ARDL Model

Analyzing the Impact of the Renewable Energy Sources on Economic Growth at the EU Level Using an ARDL Model

Wind Flow Characterisation over a PV Module through URANS Simulations and Wind Tunnel Optical Flow Methods

Photovoltaic Generation Impact Analysis in Low Voltage Distribution Grids

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