Impact of atmospheric aerosol loads on Concentrating Solar Power production in arid-desert sites

Polo, Jesús; Estalayo, G.

doi:10.1016/j.solener.2015.03.031

Cited by 27 publications

(13 citation statements)

References 31 publications

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“…The studies covered by this review have unanimously identified clouds as the dominant source of short-term fluctuations in surface irradiance and photovoltaic power. Beyond that, aerosols have been shown to considerably affect irradiance variability as well, albeit on relatively large spatiotemporal scales and with an emphasis on concentrated solar power applications [160][161][162][163][164][165][166][167][168][169][170][171]. In consideration of extreme dust events, such as forest fires or sand storms (which can quickly generate large numbers of aerosols [172]), aerosol-induced small-scale irradiance variability could be non-negligible and further research is necessary in this regard.…”

Section: Discussionmentioning

confidence: 99%

Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review

Lohmann

2018

Atmosphere

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The ongoing world-wide increase of installed photovoltaic (PV) power attracts notice to weather-induced PV power output variability. Understanding the underlying spatiotemporal volatility of solar radiation is essential to the successful outlining and stable operation of future power grids. This paper concisely reviews recent advances in the characterization of irradiance variability, with an emphasis on small spatial and temporal scales (respectively less than about 10 km and 1 min), for which comprehensive data sets have recently become available. Special attention is given to studies dealing with the quantification of variability using such unique data, the analysis and modeling of spatial smoothing, and the evaluation of temporal averaging.

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Section: Discussionmentioning

confidence: 99%

Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review

Lohmann

2018

Atmosphere

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“…It can be observed from Table 3 Table 4 shows that the values of the maximum and minimum monthly mean daily global solar radiation received at Port Harcourt (37.65 MJm 2 day -1 and 33.78 MJm 2 day -1 ) and Calabar (37.64 MJm 2 day -1 and 33.78 MJm 2 day -1 ) are at par. Perhaps, the attenuation effects of aerosols, water vapour and low-level clouds on direct normal irradiance [22,23] share some similar features in the two cities, since they are both coastal cities. Being coastal cities, they are highly affected by water drops aerosols, high load of sea salts and water vapour loads.…”

Section: Resultsmentioning

confidence: 99%

Global Solar Radiation Characteristics at Calabar and Port Harcourt Cities in Nigeria

Amadi¹,

Dike²,

Nwokolo³

2020

Tr Ren Energy

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This study analyzed the inter-annual variability in solar radiation at Port Harcourt and Calabar, aiming at improving knowledge of solar resources. For the investigation, monthly mean global solar radiation data for fifteen years (2000-2014) was collected from Nigerian Meteorological Agency (NIMET), and the monthly mean extraterrestrial solar radiation was determined using globally recognized standard relation. The clearness index parameter was employed for characterizing the spatial variability of solar radiation for Calabar and Port Harcourt. The statistics of the monthly mean solar radiation deviations of Port Harcourt and Calabar was tested using the Kolmogorov-Smirnov method. The test results showed that they are normally distributed random variables. Furthermore, the analysis of sequential properties showed that the coefficients of the auto-correlation with lag 1 are significant for both stations. The autocorrelation coefficients with lag 1, though usually not significant, are negative for both stations. The auto regression lag 1 (AR-1) is the recommended procedure (model equation) for generating monthly solar radiation synthetic time series, with auto-correlation coefficients varying from 0.30 to 0.47 for both stations in the South-South of Nigeria.

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“…Avoiding the energy available for the development of solar power technologies in Hyderabad, Pakistan, various other factors and technical aspects reduce the actual use of solar energy captured [54,[56][57][58][59][60][61][62].…”

Section: Analysis Of Monthly and Yearly Solar Radiation Ground Observmentioning

confidence: 99%

“…In Hyderabad, the global solar radiation is significantly higher than the direct normal irradiance as a result of higher attenuation effect of aerosols and water vapor on direct irradiance than the diffuse solar radiation component [54,62]. Hyderabad is situated by the coast and it is highly affected by a high load of sea salt, and water drops aerosols and water vapor loads as the station is located in the University setting where thousands of people and building structures are located.…”

Section: Analysis Of Monthly and Yearly Solar Radiation Ground Observmentioning

confidence: 99%

Impact of Sunshine Duration and Clearness Index on Diffuse Solar Radiation Estimation in Mountainous Climate

Nwokolo¹,

Otse²

2019

Tr Ren Energy

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Impact of atmospheric aerosol loads on Concentrating Solar Power production in arid-desert sites

Cited by 27 publications

References 31 publications

Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review

Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review

Global Solar Radiation Characteristics at Calabar and Port Harcourt Cities in Nigeria

Impact of Sunshine Duration and Clearness Index on Diffuse Solar Radiation Estimation in Mountainous Climate

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