scholarly journals Selection Strategy of Rational Zones for Installation of Photovoltaic Solar Panels in Algeria.

2021 ◽  
Author(s):  
Bouzid Aman
Keyword(s):  
Climate Change ◽  
Economic Development ◽  
Solar Energy ◽  
Power Plants ◽  
Agricultural Land ◽  
Green Energy ◽  
Selection Strategy ◽  
Solar Panels ◽  
The World ◽  
Solar Power Plants

Abstract This study concerns the first phase of the project to install solar panels in Algeria. The sites enjoy one of the most sunshine in the world, the Saharan region must be the spearhead in the development of energy which, moreover, with an abundant potential still under-exploited, photovoltaics constitute a formidable opportunity for the economic development of the region. In the perspective of a transition to "green energy" and in order to promote the emergence of solar energy in Algeria, a reflection on the development strategies of this energy must be combined with the strong challenges of the region, namely, the preservation of biodiversity, ecological continuities, as well as landscapes, the maintenance of agricultural land and forest areas and the fight against climate change. In this context, the contribution envisaged with this work is to contribute to the identification of a set of sites with high solar potential that can accommodate solar power plants.

scholarly journals Solar Energy Potential Evaluation. Case of Study: M'Sila, an Algerian Province

2021 ◽  
Vol 16 (8) ◽  
pp. 1501-1508
Author(s):  
Younes Kherbiche ◽  
Nabila Ihaddadene ◽  
Razika Ihaddadene ◽  
Feres Hadji ◽  
Jed Mohamed ◽  
...  
Keyword(s):  
Solar Energy ◽  
Power Plants ◽  
Green Energy ◽  
Horizontal Surface ◽  
Solar Irradiation ◽  
Electricity Production ◽  
Energy Potential ◽  
Solar Power Plants ◽  
Total Solar Irradiation ◽  
One Year

Solar energy is the most important green energy source that may be used to address the problems caused by conventional energy sources. The research in this paper aims to evaluate the solar energy potential of M'Sila, an Algerian internal region, and to determine which technology, among those currently available on the market, is adequate for harnessing that potential for electricity production (PV and CSP). This assessment was based on data (daily temperature and daily solar irradiation) collected at M'Sila weather station for one year and from the NASA site for 34 years from 1984 to 2017. These data were treated with excel 2016 software to determine the total horizontal, diffuse and direct normal solar irradiation. During the study period, the total solar irradiation falling on a horizontal surface in M'Sila (GHI) was estimated to be 1.79 MWh/m2/year. The diffuse solar irradiation incident on a horizontal surface (DHI) and direct normal irradiation, respectively, were estimated to be 594.88 kWh/m2/year, 2117.93 kWh/m2/year. M'Sila is a favourable land for the installation of concentrating solar power plants and photovoltaic panels due to its significant potential energy. The parabolic trough system is recommended. While polycrystalline PV modules should be promoted and installed in M'Sila.

scholarly journals Vision based solar tracking system for efficient energy harvesting

2021 ◽  
Vol 12 (3) ◽  
pp. 1431
Author(s):  
Kanhaiya Kumar ◽  
Lokesh Varshney ◽  
A. Ambikapathy ◽  
Inayat Ali ◽  
Ashish Rajput ◽  
...  
Keyword(s):  
Image Processing ◽  
Solar Energy ◽  
Power Plants ◽  
Tracking System ◽  
The Sun ◽  
Solar Panels ◽  
Solar Tracking ◽  
Solar Power Plants ◽  
Software And Hardware ◽  
Low Sensitivity

<p>Electricity is a major source of energy for fast growing population and the use of nonrenewable source is harmful for our environment. This reason belongs to devastating of environment, so it is required to take immediate action to solve these problems which result the solar energy development. Production of a solar energy can be maximizing if we use solar follower. The major part of solar panels is microcontroller with arrangement of LDR sensor is used to follow the sun, where the sensors is less efficient to track the sun because of the low sensitivity of LDR. We are proposing a method to track sun more effetely with the help of both LDR sensors and image processing. This type of mechanism can track sun with the help of image processing software which combines both result of sensors and processed sun image to control the solar panel. The combination of both software and hardware can control thousands of solar panels in solar power plants.</p>

Solar Energy Investment Forecast to 2040

2021 ◽  
pp. 16-33
Author(s):  
Andrey Kraykin ◽  
Zaffar Ahmed Shaikh
Keyword(s):  
Solar Energy ◽  
Power Plants ◽  
Solar Power ◽  
Var Model ◽  
Solar Panels ◽  
Energy Investment ◽  
Vector Autoregression Model ◽  
Solar Power Plants ◽  
Autoregression Model ◽  
Solar Electricity

The main purpose of the study is to compare various factors that affect the development of the industry. The chapter analyzes the literature on various issues related directly or indirectly to the development of the industry. Several research methods are used: comparison of the influence of various factors on the price of solar electricity using the vector autoregression model (VAR model). The chapter describes the risks associated with competition (first of all, for the territories where solar panels are supposed to be located). The result of the chapter is a forecast for the supply of solar energy in the next 20 years. In the 21st century, the use of solar energy has become very popular, primarily due to the fact that solar power plants are least harmful to the environment, compared to other types of power plants. Recent research in the field of solar power engineering has shown that using carbon nanotubes will double the efficiency of power plants, breaking the Shockley-Queisser limit. Such technologies can make solar power the most used electricity in the world.

scholarly journals Increasing the Efficiency Factor of Solar Power Plants Due to Solar Energy Localizing

2021 ◽  
Vol 64 (1) ◽  
pp. 15-26
Author(s):  
V. I. Mironchuk ◽  
A. A. Velchenko
Keyword(s):  
Solar Energy ◽  
Power Plants ◽  
Solar Power ◽  
Geographic Area ◽  
Efficiency Factor ◽  
The Sun ◽  
Solar Panels ◽  
Solar Power Plants ◽  
The Republic ◽  
The City

The article presents an analysis of the state of development of solar energy in Europe and  the  Republic  of  Belarus  for 2020.  An algorithm for increasing the efficiency factor of  solar power plants by localizing the solar trajectory depending on the latitude and longitude of the area has been proposed. In particular, taking into account the angle of the Sun position above the horizon and the azimuth angle of the Sun, the increase in the efficiency factor of solar power plants for the Republic of Belarus is calculated. Based on this algorithm, a program has been written that makes it possible to draw a diagram of the solar trajectory. An analysis has been made of the degree of localization of solar energy for solstice days in 6 oblast (regional) centers of the Republic of Belarus; it is found that the highest intensity of solar radiation is observed in Brest and Gomel, the average in Grodno, Minsk and Mogilev, while the lowest one – in the city of Vitebsk. A comparative analysis of the solar trajectory of the city of Berlin (Germany) with the city of Gomel and the city of Brest is carried out. Recommendations have been developed for the effective operation of solar power plants in the oblast (regional) cities of the Republic of Belarus during the year in an autonomous and combined mode of operation. The obtained numerical calculations of the solar trajectory make it possible to optimize the orientation of solar panels for permanently installed panels and for automated solar tracking systems, as well as to select the optimal configuration of the power plant equipment for any geographic area.

scholarly journals IoT Implications in Solar Energy: Innovation, Management & Operation

2020 ◽  
Author(s):  
SHANTANU DUBEY
Keyword(s):  
Solar Energy ◽  
Power Plants ◽  
Large Scale ◽  
Innovation Management ◽  
Photoelectric Effect ◽  
Solar Panel ◽  
Small Scale ◽  
Solar Panels ◽  
Requirements Process ◽  
Solar Power Plants

Solar energy is the fastest growing renewable source of energy (40% increase p.a. worldwide). The sunrays hit the solar panel surface and the photons present in sunlight create a photoelectric effect and hence generate electricity. The tilt angle for the solar panel is dependent on the latitude of the place. Solar energy is trough out the year and solar power plants need to be monitored for optimum power output, which can be, efficiently and effectively done with the use of IoT. The poster studies cases for small scale (household solar panels) and large scale (industrial solar plants). The general requirements, process, and implementation are also explored.

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 Electrical system design of solar powered electrical recreational boat for Indonesian waters

2018 ◽  
Vol 67 ◽  
pp. 04011
Author(s):  
Sunaryo Sunaryo ◽  
Adri Wirawan Ramadhani
Keyword(s):  
Solar Energy ◽  
Fossil Fuel ◽  
Electrical Power ◽  
Electrical Energy ◽  
Green Energy ◽  
Solar Panels ◽  
Electrical System ◽  
Literature Study ◽  
The Government ◽  
Solar Powered

Indonesia has more than 17,000 islands and has plenty of beautiful beaches and underwater spots which have great potential for maritime tourism. Tourism was ranked 3rd on Indonesia's foreign income and plays an important role for the country’s ecomony. Despite having potential advantages, the government has not yet maximized its efforts to develop the attractiveness of its maritime tourism. Beside the beautiful spots Indonesia is also blessed with all year long sun shine, which could be tapped as renewable and green energy as substitution to fossil fuel. Refer to these great advantages of natural resources the research was aimed to support the government’s program in developing its maritime tourism and to promote the use of green and renewable energy by designing a solar-powered tourism recreational boat which has 12 meters of length. The paper is focused on the design of solar energy and its electrical system, which includes conversion of solar energy to electrical energy and store it in the battery, the required electrical power is also predicted based on the appliances and equipment installed in the boat, the optimum attachment of solar panels on the boat structure is also calculated. All the methods and information we use are obtained from literature study, discussion with experts, and surveys to Jagur as solar-powered electric boat from Universitas Indonesia.

scholarly journals The Impacts of Climate Change on Agricultural Production and Sustainable Agriculture of Smallholder Farmers in Vietnam

2021 ◽  
Vol 4 (2) ◽  
pp. 1100-1107
Author(s):  
Nguyen Van Phu
Keyword(s):  
Climate Change ◽  
Sustainable Agriculture ◽  
Supply Chains ◽  
Agricultural Land ◽  
Smallholder Farmers ◽  
Ghg Emissions ◽  
Human Beings ◽  
Negative Effects ◽  
Food Supply Chains ◽  
The World

Climate change is one of the greatest threats to human beings, and agriculture is one of the fields that is most negatively affected by climate change. Farmers around the world and global food supply chains are impacted by the more extreme weather phenomena and increased damage of diseases and pests caused by climate change. Today, almost all agricultural enterprises and farms consider climate change a serious long-term risk for their production. Agricultural land systems can produce significant greenhouse gases (GHGs) by the conversion of forests to crop- and animal lands, and also through the weak management of crops and livestock. Around the world, cultivation and cattle production accounts for 25% of global GHG emissions (Javeline, ‎2014). However, under suitable conditions, agriculture can create environmental conditions that can help minimize pollution and the negative effects of climate change including carbon absorption by green plants in forests, and fields for watershed protection and biodiversity conservation. Sustainable agriculture helps farmers to adapt, maintain, and improve productivity without applying harmful techniques. In turn, this allows farms to manage and mitigate climate-related risks in their supply chains. The Sustainable Agriculture Network (SAN) has found new ways to incorporate smart climate cultivation methods into all farming practices to help farms and enterprises carry out agriculture sustainably.

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.

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