Forecasting of electricity production from Solar Energy in India for the next decade

2020 ◽  
Author(s):  
Ishita Garg ◽  
Ashay Raj ◽  
Anuj Jajoria ◽  
Girish Kumar
Keyword(s):  
Solar Energy ◽  
Electricity Production

Performance Evaluation of an Integrated Solar Combined Cycle

2012 ◽  
Author(s):  
Collins O. Ojo ◽  
Damien Pont ◽  
Enrico Conte ◽  
Richard Carroni
Keyword(s):  
Solar Energy ◽  
Capital Investment ◽  
Power Plants ◽  
Solar Power ◽  
Combined Cycle ◽  
Electricity Production ◽  
Water Steam ◽  
Plant Operator ◽  
Central Receiver ◽  
Solar Field

The integration of steam from a central-receiver solar field into a combined cycle power plant (CCPP) provides an option to convert solar energy into electricity at the highest possible efficiency, because of the high pressure and temperature conditions of the solar steam, and at the lowest capital investment, because the water-steam cycle of the CCPP is in shared use with the solar field. From the operational point of view, the plant operator has the option to compensate the variability of the solar energy with fossil fuel electricity production, to use the solar energy to save fuel and to boost the plant power output, while reducing the environmental footprint of the plant operation. Alstom is able to integrate very large amounts of solar energy in its new combined-cycle power plants, in the range of the largest solar field ever built (Ivanpah Solar Power Facility, California, 3 units, total 392 MWel). The performance potential of such integration is analyzed both at base load and at part load operation of the plant. Additionally, the potential for solar retrofit of existing combined-cycle power plants is assessed. In this case, other types of concentrating solar power technologies than central receiver (linear Fresnel and trough) may be best suited to the specific conditions. Alstom is able to integrate any of these technologies into existing combined-cycle power plants.

scholarly journals The Systematic Study of the Feasible Photovoltaics in Eastern Kentucky

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Sanghyun Lee
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Fossil Fuels ◽  
Solar Power ◽  
Average Power ◽  
Electricity Production ◽  
The Sun ◽  
Renewable Energy Resources ◽  
Eastern Kentucky ◽  
Run Off

Photovoltaics (PV-also called solar photovoltaic devices) are used to harness the power of the sun via the electronic process that occurs within semiconductor cells. The solar energy is absorbed by the cells, which causes the electrons to break away from their atoms, allowing them to flow within the material to produce electricity. This electricity will become the renewable energy for Kentucky, as the generation of coal will but come to a stop within the near future. Like Denmark who is running on 100% renewable generation we must stride to become fully operational on solar. In the present work, we systematically studied about renewable energy resources, in particular, solar energy for the application of photovoltaic panels in Eastern Kentucky. By analyzing data from our PV cells at Morehead State University designed to follow the direction of the sun for optimized output and by incorporating MPPT charge controllers, we have constructed a maximum power algorithm that performs best for the location. Utilizing these, measurements of daily electricity production in comparison to the average power needed for household use has validated our research. With the advancements in solar cell technology what was once impossible is now reality, as solar power can easily power this region based on our data. Knowing this, being a prime location we can now push to enable the advancement of renewable energy production and become less dependent on fossil fuels, thus creating an infrastructure that will run off solar power.

Photovoltaic solar power plant investment optimization model for economic external balance: Model of Turkey

2018 ◽  
Vol 30 (3) ◽  
pp. 522-541 ◽  
Author(s):  
Mehmet Alagöz ◽  
Nihal Yokuş ◽  
Turgut Yokuş
Keyword(s):  
Solar Energy ◽  
Current Account ◽  
Optimization Model ◽  
Linear Optimization ◽  
Investment Strategy ◽  
Electricity Production ◽  
Current Account Balance ◽  
Production Values ◽  
Linear Optimization Model ◽  
Current Deficit

Through using a linear optimization model that interprets solar energy and current deficit parameters, investment plans were performed for countries which have current deficit problem of energy source. The specifics of the study are due to the linear optimization model, which reveals the current deficit and solar energy together for the investment strategy. While the model is constituted, without affecting the existed current account, some parameters based on such as profit transfers for foreign investments, payments of interest for domestic investments, import rates for photovoltaic solar panels, solar energy electricity production values, electricity demand projection for the future and import resource rates for electricity production. In the framework of these constraints of the model, the effects of solar systems on domestic investment and foreign direct investments on current account balance are analyzed for the period of 2017–2030 in Turkey. In the application of the model in Turkey to reduce the current deficit, this is concluded that the solar energy is a significant opportunity. In addition, the linear optimization model is considered as a reference for countries facing energy-related current deficit problems.

scholarly journals Previsão da produção de eletricidade em instalações de energia solar fotovoltaica usando métodos diretos / Forecast of electricity production in photovoltaic solar energy facilities using direct methods

2021 ◽  
Vol 7 (12) ◽  
pp. 113281-113290
Author(s):  
Jorday Arostegui Morell ◽  
Eduardo Sierra Gil ◽  
Israel Gondres Torné ◽  
Fábio de Sousa Cardoso ◽  
Angilberto Muniz Ferreira Sobrinho
Keyword(s):  
Solar Energy ◽  
Direct Methods ◽  
Electricity Production ◽  
Photovoltaic Solar Energy

O trabalho apresenta uma comparação entre os resultados obtidos para a previsão da produção de eletricidade em instalações de energia solar fotovoltaica, usando diferentes métodos diretos. Devido à natureza intermitente e incerta da energia solar, associada à influência de múltiplos fatores meteorológicos, a geração de energia fotovoltaica necessita de ferramentas de previsão cada vez mais precisas para garantir o funcionamento eficiente e confiável do sistema. Nesse estudo, as previsões para cada hora analisada são calculadas por três dos métodos mais usuais e são comparadas usando o erro percentual absoluto médio como referência. Os resultados são testados com os dados de geração de energia obtidos do Parque Solar Fotovoltaico Imías, que tem uma capacidade instalada de 2,2 MWp. Independentemente dos métodos mostrarem que garantem uma previsão com alta precisão, existem diferenças na eficácia de cada previsão, nas mesmas condições.

scholarly journals Solar energy-assisted frost prevention in horticulture applications: integrated framework and parametric CFD modeling

2018 ◽  
Author(s):  
Ercan Atam ◽  
Se-Woon Hong
Keyword(s):  
Solar Energy ◽  
System Optimization ◽  
Green Energy ◽  
Integrated System ◽  
Electricity Production ◽  
Cfd Modeling ◽  
Cfd Model ◽  
Thermal Dynamics ◽  
Optimization And Control ◽  
And Control

Prevention of frost in horticulture is important, but challenging, and its realization,especially using green-energy sources, will have a huge societal impact.In this paper, first we suggest an integrated solarphotovoltaics (PV)-assisted framework where solar energy will be used as a secondary application for frostprevention (the primary application is electricity production for grid). Optimal design and operation ofthe suggested integrated system require detailed thermal modeling of air dynamics in the orchard,integrated system optimization and control tasks. Second, in this paperwe address the first task above: development of a novel, sophisticated parametric computational fluid dynamics (CFD)model for orchard air thermal dynamics for different orchard parameters (such as fruit type, climate, the number of trees,their sizes, distance between them, etc.) and boundary/initial conditions.Finally, the use of developed parametric CFD model is demonstrated through a case study to calculate the minimal thermalenergy required to prevent frost under different frost levels in a test apricot orchard located in Malatya, Turkey, which isthe world capital for dry apricot production.

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.

scholarly journals Solar Energy Data Analytics: PV Deployment and Land Use

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 417 ◽  
Author(s):  
Francesco Mancini ◽  
Benedetto Nastasi
Keyword(s):  
Solar Energy ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Electricity Production ◽  
Renewable Electricity ◽  
Building Integrated Photovoltaics ◽  
Electricity Mix ◽  
Final Energy Consumption ◽  
Policy Scenarios

EU targets for sustainable development call for strong changes in the current energy systems as well as committed protection of environmental resources. This target conflicts if a policy is not going to promote the compatible solutions to both the issues. This is the case of the additional renewable energy sources to be exploited for increasing the share in the electricity mix and in the gross final energy consumption. Solar energy is, currently, the cheapest solution in Southern European Countries, like Italy. In this paper, thanks to the availability of three open databases provided by National Institutions, the authors compared the historic trends and policy scenarios for soil consumption, electricity consumption, and renewable electricity production to check correlations. The provincial scale was chosen as resolution of the analysis. The deviations from the policy scenarios was then addressed to identify the demand for policy recommendations and pathways to promote in order to achieve the target for renewable electricity share as well as the reduction in soli consumption trend in 2030. The role of renewables integrated in the existing contexts, such as building integrated photovoltaics, is considered a key driver for solving this issue.

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