scholarly journals Predicting the Performance of Solar Power Generation Using Deep Learning Methods

2021 ◽  
Vol 11 (15) ◽  
pp. 6887
Author(s):  
Chung-Hong Lee ◽  
Hsin-Chang Yang ◽  
Guan-Bo Ye
Keyword(s):  
Power Generation ◽  
Solar Energy ◽  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Photovoltaic Cell ◽  
Power Prediction ◽  
Seasonal Characteristics ◽  
Variable Nature ◽  
Solar Power Plants

In recent years, many countries have provided promotion policies related to renewable energy in order to take advantage of the environmental factors of sufficient sunlight. However, the application of solar energy in the power grid also has disadvantages. The most obvious is the variability of power output, which will put pressure on the system. As more grid reserves are needed to compensate for fluctuations in power output, the variable nature of solar power may hinder further deployment. Besides, one of the main issues surrounding solar energy is the variability and unpredictability of sunlight. If it is cloudy or covered by clouds during the day, the photovoltaic cell cannot produce satisfactory electricity. How to collect relevant factors (variables) and data to make predictions so that the solar system can increase the power generation of solar power plants is an important topic that every solar supplier is constantly thinking about. The view is taken, therefore, in this work, we utilized the historical monitoring data collected by the ground-connected solar power plants to predict the power generation, using daily characteristics (24 h) to replace the usual seasonal characteristics (365 days) as the experimental basis. Further, we implemented daily numerical prediction of the whole-point power generation. The preliminary experimental evaluations demonstrate that our developed method is sensible, allowing for exploring the performance of solar power prediction.

scholarly journals ASSESSMENT OF SURFACE DOWNWELLING SHORTWAVE RADIATION IN 2021-2050 IN LAAYOUNE − SAKIA EL HAMRA REGION, MOROCCO

2019 ◽  
Vol 2 ◽  
pp. 23-29
Author(s):  
Youssef El Hadri ◽  
Valeriy Khokhlov ◽  
Mariia Slizhe ◽  
Kateryna Sernytska ◽  
Kateryna Stepanova
Keyword(s):  
Solar Energy ◽  
Spatial Resolution ◽  
Cloud Cover ◽  
Power Plants ◽  
Solar Power ◽  
Regional Climate ◽  
Energy Resources ◽  
Shortwave Radiation ◽  
Total Cloud Cover ◽  
Solar Power Plants

Morocco's energy system is highly dependent on external energy markets. According to the Ministry Energy, Mines and Sustainable Development today more than 93 % of energy resources are imported to Morocco. In 2008 the Moroccan Government has developed a National Energy Strategy, and one of its priority areas is to increase the share of renewable technologies in the country's energy sector. Morocco is rich in solar energy resources. Studies on the assessment of the Morocco’s solar energy potential indicate, among other benefits, low additional costs when using solar installations compared to losses associated with the solution of future climate problems and lack of resources. The plan envisages the commissioning of solar power plants in Ouarzazate, Ain Ben Mathar, Boujdour, Tarfaya and Laayoune by 2020. The aim of this research is determination of the characteristics of the distribution of Surface Downwelling Shortwave Radiation in the area of the solar power Boujdour, Tarfaya and Laayoune, located in the Laayoune − Sakia El Hamra region in 2021−2050. The data from regional climate modeling with high spatial resolution of the CORDEX-Africa project are used in this research. The RCM modeling is carried out for the region of Africa, in a rectangular coordinate system with a spatial resolution of ~ 44 km. Then, from the modeling data, values are highlighted for the territory of Laayoune − Sakia El Hamra region. Model calculation is performed taking into account the greenhouse gas concentration trajectory of RCP 4.5 calculated using 11 regional climate models. As a result of the simulation for the period 2021−2050, average monthly values of the Surface Downwelling Shortwave Radiation "RSDS" (W/m2) are derived, on the basis of which the mean values for the period of time are calculated. For more detailed information, average monthly total cloud cover values "TC" (%) for the period under study are calculated. Analysis of the change in RSDS in 2021–2050 relative to the recent climatic period is shown that in the Laayoune − Sakia El Hamra region we can expect an increase or retention of its values. The annual run of the RSDS has one maximum in June and one minimum in December. In the future, the distribution of RSDS in the Laayoune − Sakia El Hamra region will have a significant impact on proximity to the Atlantic Ocean, where an increased amount of total cloud cover significantly reduces the amount of incoming radiation. In the location of solar power plants in the near future, the current RSDS values are expected to be maintained, which creates favorable conditions for the further development of the renewable energy industry in this area and increasing its productivity.

scholarly journals Improving the Efficiency of Solar Power Plants

2020 ◽  
Vol 30 (3) ◽  
pp. 480-497
Author(s):  
Dmitriy S. Strebkov ◽  
Yuriy Kh. Shogenov ◽  
Nikolay Yu. Bobovnikov
Keyword(s):  
Power Plant ◽  
Solar Radiation ◽  
Solar Energy ◽  
Power Plants ◽  
Solar Power ◽  
Horizontal Surface ◽  
Solar Power Plant ◽  
Utilization Factor ◽  
Working Surface ◽  
Solar Power Plants

Introduction. An urgent scientific problem is to increase the efficiency of using solar energy in solar power plants (SES). The purpose of the article is to study methods for increasing the efficiency of solar power plants. Materials and Methods. Solar power plants based on modules with a two-sided working surface are considered. Most modern solar power plants use solar modules. The reflection of solar radiation from the earth’s surface provides an increase in the production of electrical energy by 20% compared with modules with a working surface on one side. It is possible to increase the efficiency of using solar energy by increasing the annual production of electric energy through the creation of equal conditions for the use of solar energy by the front and back surfaces of bilateral solar modules. Results. The article presents a solar power plant on a horizontal surface with a vertical arrangement of bilateral solar modules, a solar power station with a deviation of bilateral solar modules from a vertical position, and a solar power plant on the southern slope of the hill with an angle β of the slope to the horizon. The formulas for calculating the sizes of the solar energy reflectors in the meridian direction, the width of the solar energy reflectors, and the angle of inclination of the solar modules to the horizontal surface are given. The results of computer simulation of the parameters of a solar power plant operating in the vicinity of Luxor (Egypt) are presented. Discussion and Conclusion. It is shown that the power generation within the power range of 1 kW takes a peak value for vertically oriented two-sided solar modules with horizontal reflectors of sunlight at the installed capacity utilization factor of 0.45. At the same time, when the solar radiation becomes parallel to the plane of vertical solar modules, there is a decrease in the output of electricity. The proposed design allows equalizing and increasing the output of electricity during the maximum period of solar radiation. Vertically oriented modules are reliable and easy to use while saving space between modules.

Comparison and Optimization of Heliostat Canting Methods

2007 ◽  
Author(s):  
R. Buck ◽  
E. Teufel
Keyword(s):  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Power Level ◽  
Major Influence ◽  
Optical Efficiency ◽  
Tracking Method ◽  
Clear Advantage ◽  
Solar Power Plants ◽  
Plant Power

Heliostat canting (alignment of mirror facets) is known to have a major influence on the optical efficiency of heliostat fields and therefore on the power output of solar tower plants. In recent years several canting concepts were used, mainly on- and off-axis canting. Several new canting concepts, like stretched-parabolic or target aligned canting, were proposed in order to improve the performance of heliostats. As solar power plants become economically more attractive, knowledge about the influence of canting becomes more important. In this context, the influence of several factors on the canting method is discussed and optimal canting strategies are described. The considered factors comprise plant power level, heliostat position in the field, heliostat area, receiver dimension and site latitude. It is concluded that the target aligned tracking method is superior to all other variants in the majority of cases. As for the standard azimuth-elevation tracking methods, no one of these exhibits a clear advantage. It is only the on-axis method that performs worst in all cases.

scholarly journals Analisis Performansi PLTS Off-Grid 600 Wp menggunakan Data Akuisisi berbasis Internet of Things

2021 ◽  
Vol 9 (4) ◽  
pp. 761
Author(s):  
ARNISA STEFANIE ◽  
FARRADINA CHORIA SUCI
Keyword(s):  
Internet Of Things ◽  
Output Power ◽  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Data Communication ◽  
Communication Line ◽  
Photovoltaic Power ◽  
Solar Power Plants ◽  
Internet Of Things Technology

ABSTRAKPLTS pada penelitian ini didesain dengan sistem Off-Grid dengan kapasitas 600 Wp yang terhubung dengan MPPT 50 A, DC 150V dan energi output disimpan pada baterai VRLA 100 Ah. Pemanfaatan teknologi Internet of Things dengan komunikasi data menggunakan jalur komunikasi serial dengan modul ESP 8266. Pengujian dilakukan dengan memasang PLTS dengan kemiringan 300 pada koordinat wilayah -06°33’25’’, 107°12’39’’. Analisis data dilakukan untuk membaca performa daya output dan membandingkan dengan data total photovoltaic power output (Wh) yang dirilis Global Solar Atlas. Sampel data diambil pada bulan September 2020, 06.00-18.00 WIB, yang menunjukkan bahwa rentang waktu kerja efektif PLTS adalah 07.00-08.00 WIB dengan daya output ±140 watt, dimana mendekati nilai total photovoltaic power output adalah 143 Wh.Kata kunci: PLTS, Off-Grid, Internet of Things, power output ABSTRACTThis Solar Power Plant is designed with an Off-Grid system with a capacity of 600 Wp connected to MPPT 50 A, DC 150V, and the output energy stored in a VRLA 100 Ah battery. Utilization of Internet of Things technology with data communication by serial communication line using the ESP 8266 module. Testing was carried out by installing Solar Power Plants with a slope of 300 at the coordinates of the area -06 ° 33'25 '', 107 ° 12'39 ''. Data analysis was carried out to read the output power performance and compare it with the Total photovoltaic power output (Wh) data released by Global Solar Atlas. Data samples were taken in September 2020 at 06.00-18.00 WIB, which shows the effective working time gap of PLTS at 07.00-08.00 WIB with an output power of ± 140 watts is close to the total photovoltaic power output value of 143 Wh.Keywords: Solar Power Plants, Off-Grid, Internet of Things, power output

scholarly journals Optimal Solar Plant Site Identification Using GIS and Remote Sensing: Framework and Case Study

Energies ◽  
2022 ◽  
Vol 15 (1) ◽  
pp. 312
Author(s):  
Abdulaziz Alhammad ◽  
Qian (Chayn) Sun ◽  
Yaguang Tao
Keyword(s):  
Solar Energy ◽  
Alternative Energy ◽  
Power Plants ◽  
Solar Power ◽  
Electricity Production ◽  
Solar Plant ◽  
Plant Site ◽  
Solar Power Plants ◽  
Total Study Area ◽  
Site Identification

Many countries have set a goal for a carbon neutral future, and the adoption of solar energy as an alternative energy source to fossil fuel is one of the major measures planned. Yet not all locations are equally suitable for solar energy generation. This is due to uneven solar radiation distribution as well as various environmental factors. A number of studies in the literature have used multicriteria decision analysis (MCDA) to determine the most suitable places to build solar power plants. To the best of our knowledge, no study has addressed the subject of optimal solar plant site identification for the Al-Qassim region, although developing renewable energy in Saudi Arabia has been put on the agenda. This paper developed a spatial MCDA framework catering to the characteristics of the Al-Qassim region. The framework adopts several tools used in Geographic Information Systems (GIS), such as Random Forest (RF) raster classification and model builder. The framework aims to ascertain the ideal sites for solar power plants in the Al-Qassim region in terms of the amount of potential photovoltaic electricity production (PVOUT) that could be produced from solar energy. For that, a combination of GIS and Analytical Hierarchy Process (AHP) techniques were employed to determine five sub-criteria weights (Slope, Global Horizontal Irradiance (GHI), proximity to roads, proximity to residential areas, proximity to powerlines) before performing spatial MCDA. The result showed that ‘the most suitable’ and ‘suitable’ areas for the establishment of solar plants are in the south and southwest of the region, representing about 17.53% of the study area. The ‘unsuitable’ areas account for about 10.17% of the total study area, which is mainly concentrated in the northern part. The rest of the region is further classified into ‘moderate’ and ‘restricted’ areas, which account for 46.42% and 25.88%, respectively. The most suitable area for potential solar energy, yields approximately 1905 Kwh/Kwp in terms of PVOUT. The proposed framework also has the potential to be applied to other regions nationally and internationally. This work contributes a reproducible GIS workflow for a low-cost but accurate adoption of a solar energy plan to achieve sustainable development goals.

Comparison and Optimization of Heliostat Canting Methods

2009 ◽  
Vol 131 (1) ◽  
Author(s):  
R. Buck ◽  
E. Teufel
Keyword(s):  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Power Level ◽  
Major Influence ◽  
Optical Efficiency ◽  
Tracking Method ◽  
Clear Advantage ◽  
Solar Power Plants ◽  
Plant Power

Heliostat canting (alignment of mirror facets) is known to have a major influence on the optical efficiency of heliostat fields and therefore on the power output of solar tower plants. In recent years several canting concepts were used, mainly on- and off-axis canting. Several new canting concepts, such as stretched-parabolic or target-aligned canting, were proposed in order to improve the performance of heliostats. As solar power plants become economically more attractive, knowledge about the influence of canting becomes more important. In this context, the influence of several factors on the canting method is discussed and optimal canting strategies are described. The considered factors comprise plant power level, heliostat position in the field, heliostat area, receiver dimension, and site latitude. It is concluded that the target-aligned tracking method is superior to all other variants in the majority of cases. As for the standard azimuth-elevation tracking methods, not one of these exhibits a clear advantage. It is only the on-axis method that performs worst in all cases.

scholarly journals Performance Evaluation of Solar Power Plants: A Review and a Case Study

Processes ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 2253
Author(s):  
Mahmoud Makkiabadi ◽  
Siamak Hoseinzadeh ◽  
Ali Taghavirashidizadeh ◽  
Mohsen Soleimaninezhad ◽  
Mohammadmahdi Kamyabi ◽  
...  
Keyword(s):  
Power Plant ◽  
Solar Energy ◽  
Electricity Generation ◽  
Power Plants ◽  
Solar Power ◽  
Ocean Waves ◽  
Solar Power Plant ◽  
Large Area ◽  
Energy Technologies ◽  
Solar Power Plants

The world’s electricity generation has increased with renewable energy technologies such as solar (solar power plant), wind energy (wind turbines), heat energy, and even ocean waves. Iran is in the best condition to receive solar radiation due to its proximity to the equator (25.2969° N). In 2020, Iran was able to supply only 900 MW (about 480 solar power plants and 420 MW home solar power plants) of its electricity demand from solar energy, which is very low compared to the global average. Yazd, Fars, and Kerman provinces are in the top ranks of Iran, with the production of approximately 68, 58, and 47 MW using solar energy, respectively. Iran also has a large area of vacant land for the construction of solar power plants. In this article, the amount of electricity generation using solar energy in Iran is studied. In addition, the construction of a 10 MW power plant in the city of Sirjan is economically and technically analyzed. The results show that with US$16.14 million, a solar power plant can be built in the Sirjan region, and the initial capital will be returned in about four years. The results obtained using Homer software show that the highest maximum power generation is in July.

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