Effect of Dust Events on Photovoltaics Electricity Production in the European and North African Regions DOI Creative Commons
Davender Sethi, Panagiotis Kosmopoulos

Опубликована: Авг. 23, 2023

The effect of two dust events on solar energy has been studied in Europe and North Africa. For analysis, total aerosol optical depth (AOD) conjunction with irradiation data were utilized from Copernicus Atmosphere Monitoring Service (CAMS). AOD reached ~2.8 ~1.7 during the (16–19 April 2021 15–18 March 2022), respectively. Both originated Africa, reaching northern parts Black Sea. production photovoltaics affected regions was reduced by almost 18–36 GWh, followed an estimated financial loss close to 4 million euros.

Язык: Английский

The impact of extreme dust storms on the national photovoltaic energy supply DOI Creative Commons
Leonardo Micheli, Florencia Almonacid, João Gabriel Bessa

и другие.

Sustainable Energy Technologies and Assessments, Год журнала: 2024, Номер 62, С. 103607 - 103607

Опубликована: Янв. 10, 2024

This study analyses the consequences of an extreme dust storm that occurred in March 2022 on Spanish national photovoltaic (PV) energy supply. event, indeed, substantially raised particulate matter concentrations and aerosol optical depths across country, seriously affecting surface radiation posing a substantial threat not only to individual PV systems but also electricity grid. The research, based analysis forecast weather, environmental electrical data, reveals such event halved capacity factor fleet over period longer than two weeks. A peak drop as high 80% was registered, at level, worst day. underperformance affected market share mix, whose monthly average value fell from predicted 10.9% 7.1%. Despite expectations, however, no significant difference soiling found compared typical losses, thanks occurrence heavier-than-usual rainfall events. facilitated recovery capacity, which returned expected performance factors soon sky cleared.

Язык: Английский

Процитировано

22

Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017) DOI Creative Commons
Antonis Gkikas, Emmanouil Proestakis, Vassilis Amiridis

и другие.

Atmospheric chemistry and physics, Год журнала: 2022, Номер 22(5), С. 3553 - 3578

Опубликована: Март 17, 2022

Abstract. Quantifying the dust optical depth (DOD) and its uncertainty across spatiotemporal scales is key to understanding constraining cycle interactions with Earth System. This study quantifies DOD along monthly year-to-year variability between 2003 2017 at global regional levels based on MIDAS (ModIs Dust AeroSol) dataset, which combines Moderate Resolution Imaging Spectroradiometer (MODIS)-Aqua retrievals Modern-Era Retrospective Analysis for Research Applications, version 2 (MERRA-2), reanalysis products. We also describe annual seasonal geographical distributions of main source regions transport pathways. provides columnar mid-visible (550 nm) fine spatial resolution (0.1∘×0.1∘), expanding current observational capabilities monitoring highly variable features burden. obtain a 0.032±0.003 – approximately quarter (23.4 %±2.4 %) aerosol (AOD) about 1 order magnitude more in Northern Hemisphere (0.056±0.004; 31.8 %±2.7 than Southern (0.008±0.001; 8.2 %±1.1 3.5 times over land (0.070±0.005) ocean (0.019±0.002). The correlated corresponding AOD (R2=0.94) contributes 20 % 48 it, both indicating dominant contribution. In contrast, contribution does not exceed 17 Hemisphere, although this region larger. Among major sources planet, maximum DODs (∼1.2) are recorded Bodélé Depression northern Lake Chad Basin, whereas moderate-to-high intensities encountered Western Sahara (boreal summer), eastern parts Middle East summer) Taklamakan Desert (spring). Over oceans, long-range observed primarily tropical Atlantic (intensified during boreal secondarily North Pacific spring). Our calculated averages associated uncertainties consistent some but all recent observation-based studies. work simple yet flexible method estimate scales, will enhance use dataset variety future

Язык: Английский

Процитировано

51

The role of wind-solar hybrid plants in mitigating renewable energy-droughts DOI
Anasuya Gangopadhyay, Ashwin K Seshadri, Nathan Sparks

и другие.

Renewable Energy, Год журнала: 2022, Номер 194, С. 926 - 937

Опубликована: Май 29, 2022

Язык: Английский

Процитировано

42

A novel four-stage integrated GIS based fuzzy SWARA approach for solar site suitability with hydrogen storage system DOI
Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

Energy, Год журнала: 2023, Номер 278, С. 127927 - 127927

Опубликована: Май 23, 2023

Язык: Английский

Процитировано

33

Solar radiation estimation in West Africa: impact of dust conditions during the 2021 dry season DOI Creative Commons
Léo Clauzel, Sandrine Anquetin, Christophe Lavaysse

и другие.

Atmospheric chemistry and physics, Год журнала: 2025, Номер 25(2), С. 997 - 1021

Опубликована: Янв. 27, 2025

Abstract. The anticipated increase in solar energy production West Africa requires high-quality irradiance estimates, which are affected by meteorological conditions and particular the presence of desert dust aerosols. This study examines impact incorporating into surface temperature estimations. research focuses on a case event March 2021, is characteristic dry season Africa. Significant aerosol emissions at Bodélé Depression associated with Harmattan flow that transports plume westwards. Simulations this were conducted using Weather Research Forecasting (WRF) Model alone, as well coupling it CHIMERE chemistry transport model, three different datasets for initial boundary (CAMS, GOCART, MERRA-2). Results show considering reduces estimation errors global horizontal (GHI) about 75 %. caused an average 18 % reduction during event. Additionally, simulations indicated positive bias optical depth (AOD) PM10 concentrations. choice dataset minimally influenced GHI, temperature, AOD whereas concentrations size distribution significantly affected. underscores importance aerosols forecasting better accuracy.

Язык: Английский

Процитировано

2

Projected wind and solar energy potential in the eastern Mediterranean and Middle East in 2050 DOI Creative Commons
Pantelis Kiriakidis, T. Christoudias, Jonilda Kushta

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 927, С. 172120 - 172120

Опубликована: Апрель 3, 2024

The ongoing energy transition from conventional fuels to renewable sources (RES) has given nations the potential achieve levels of self-sufficiency previously thought unattainable. RES in form utility-scale solar and wind are currently leading alternatives fossil-fuel generation. Precise location siting that factors efficiency limitations related current future climate variables is essential for enabling green envisioned 2050. In this context, understanding mapping intermittency provides insights system operators their seamless integration into grid. Eastern Mediterranean Middle East (EMME) region harness vast amounts RES. scarcity observations weather station networks lack private sector incentives transitioning mean relevant, supporting studies have been limited. This study employs Weather Research Forecasting model with Chemistry estimate technical EMME countries map hourly generation profiles per source country, simulated reference year 2015 considering conditions. findings indicate by 2050, seven within could transform net exporters, while remaining nine might remain reliant on imports or fossil fuels. Egypt emerges as a "powerhouse", potentially enjoying surplus 76 GW hour, whereas United Arab Emirates may face an annual deficit 955 TWh. Further, we derived during different seasons. Four dominant patterns were identified. We find complementary relationship six countries, four substitute between Greece stands out near-constant source, which would facilitate its national

Язык: Английский

Процитировано

6

Overall energy performance of building-integrated bifacial photovoltaic sunshades with different installation and building parameters in hot and humid regions DOI
Miao Han, Lin Lu, Bo Sun

и другие.

Solar Energy, Год журнала: 2024, Номер 275, С. 112619 - 112619

Опубликована: Май 19, 2024

Язык: Английский

Процитировано

6

Predictive Model for Solar Insolation Using the Deep Learning Technique DOI Creative Commons
Jiwon Park, Sung Hyup Hong,

Sang Hun Yeon

и другие.

International Journal of Energy Research, Год журнала: 2023, Номер 2023, С. 1 - 17

Опубликована: Фев. 3, 2023

In this study, prediction performances of a regression model and deep learning-based predictive models were comparatively analyzed for the hourly insolation in regions located at temperate climate microthermal with high precipitation. Unlike linear models, artificial neural networks (ANN) long short-term memory- (LSTM-) based achieved reliable CV(RMSE) 14.0% 15.8%, respectively. This study proposed direction future research by improving performance predicting 1 hour after current time-step, which has time-dependent characteristics, utilizing 24 hours before time-step addition to forecasted weather data. large error occurred sunrise sunset times, suggesting possibility variables related future. Along Cheongju, could properly predict other around world. The results derived slightly higher errors than Cheongju. However, it is expected that will be possible better if geographical location are additionally considered

Язык: Английский

Процитировано

10

Experimental study of a vertically mounted bifacial photovoltaic sunshade DOI
Chunying Li,

Wankun Zhang,

Juhu Wu

и другие.

Renewable Energy, Год журнала: 2023, Номер 219, С. 119518 - 119518

Опубликована: Окт. 31, 2023

Язык: Английский

Процитировано

10

Aircraft engine dust ingestion at global airports DOI Creative Commons
Claire L. Ryder,

Clèment Bézier,

Helen Dacre

и другие.

Natural hazards and earth system sciences, Год журнала: 2024, Номер 24(7), С. 2263 - 2284

Опубликована: Июль 8, 2024

Abstract. Atmospheric mineral dust aerosol constitutes a threat to aircraft engines from deterioration of internal components. Here we fulfil an overdue need quantify engine ingestion at airports worldwide. The vertical distribution is key importance since ascent/descent rates and power both vary with altitude affect ingestion. We use representative jet profile information combined vertically seasonally varying concentrations calculate the “dust dose” ingested by over single ascent or descent. Using Copernicus Atmosphere Monitoring Service (CAMS) model reanalysis, climatological seasonal dose 10 for 2003–2019. Dust doses are mostly largest in Northern Hemisphere summer descent, Delhi June–August (JJA; 6.6 g) followed Niamey March–May (MAM; 4.7 Dubai JJA (4.3 g). Holding patterns altitudes coincident peak can lead substantial quantities ingestion, resulting larger than take-off, climb, taxi phases. compare calculated CAMS spaceborne lidar observations two datasets derived Cloud–Aerosol Lidar Orthogonal Polarization (CALIOP). In general, spatial similar between CALIOP, though large variations magnitude found, producing lower factor 1.9 2.8, particularly when concentration very close surface. show that mitigating action reduce damage could be achieved, firstly moving arrivals departures after sunset secondly altering holding pattern away local altitude, reducing up 44 % 41 respectively. suggest likely low bias reanalysis should considered aviation stakeholders estimating dust-induced wear.

Язык: Английский

Процитировано

4