scholarly journals Applications of a shadow camera system for energy meteorology

2018 ◽  
Vol 15 ◽  
pp. 11-14 ◽  
Author(s):  
Pascal Kuhn ◽  
Stefan Wilbert ◽  
Christoph Prahl ◽  
Dominik Garsche ◽  
David Schüler ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Solar Power ◽  
Short Term ◽  
Camera System ◽  
Plant Operations ◽  
Electricity Grids ◽  
Solar Power Plants ◽  
Sky Imager

Abstract. Downward-facing shadow cameras might play a major role in future energy meteorology. Shadow cameras directly image shadows on the ground from an elevated position. They are used to validate other systems (e.g. all-sky imager based nowcasting systems, cloud speed sensors or satellite forecasts) and can potentially provide short term forecasts for solar power plants. Such forecasts are needed for electricity grids with high penetrations of renewable energy and can help to optimize plant operations. In this publication, two key applications of shadow cameras are briefly presented.

Socio-environmental and Economic Problems of Solar Panels Recycling

2020 ◽  
pp. 48-55
Author(s):  
Olena I. Matsenko ◽  
Vladyslav S. Tereshchenko ◽  
Vladyslav S. Piven ◽  
Andrii A. Panchenko ◽  
Evhenyi A. Perekhod
Keyword(s):  
Renewable Energy ◽  
Alternative Energy ◽  
Power Plants ◽  
Solar Power ◽  
Negative Impact ◽  
Renewable Energy Sources ◽  
Economic Problem ◽  
Energy Sources ◽  
Solar Power Plants ◽  
Technical Specifications

The use of alternative energy sources, in particular solar energy, has gained rapid growth in recent years. This trend is prompting manufacturers of equipment for solar power plants to increase production volumes. At the same time, the question arises of the disposal of used modules, because each material has its service life. According to technical specifications, the average life of solar modules and batteries is 25-30 years. Decommissioning may occur earlier than this time due to the following reasons – moral and physical deterioration, mechanical damage, replacement of obsolete equipment with new, modernization of solar power plants. Already in 2030, it will be necessary to replace the solar modules installed in 2000. Therefore, there are acute questions not only regarding the development of technologies for processing waste equipment from solar power plants but also organizational and economic methods. This article discusses the main problems that arise during the utilization and recycling of solar modules, analyzes the experience of countries in resolving these issues. After all, the use of renewable energy sources should minimize the negative impact on the environment from energy production at all stages – from the production of equipment for a power plant to the disposal and recycling of this equipment. Keywords: solar panel, recycling, economic method, solar power, natural resource, economic problem, environment, renewable energy.

scholarly journals Solar Power Plant Generation Short-Term Forecasting Model

2018 ◽  
Vol 208 ◽  
pp. 04004
Author(s):  
Stanislav Eroshenko ◽  
Elena Kochneva ◽  
Pavel Kruchkov ◽  
Aleksandra Khalyasmaa
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Solar Power ◽  
Weather Conditions ◽  
Solar Power Plant ◽  
Short Term ◽  
Variable Capacity ◽  
Solar Power Plants ◽  
Rapid Pace ◽  
Short Term Forecasting

Recently, renewable generation plays an increasingly important role in the energy balance. Solar energy is developing at a rapid pace, while the solar power plants output depends on weather conditions. Solar power plant output short-term forecasting is an urgent issue. The future electricity generation qualitative forecasts allow electricity producers and network operators to actively manage the variable capacity of solar power plants, and thereby to optimally integrate the solar resources into the country's overall power system. The article presents one of the possible approaches to the solution of the short-term forecasting problem of a solar power plant output.

scholarly journals Multi Criteria Decision Analysis Technique for Solar Power Sites Selection in Duhok Governorate – Iraq

2021 ◽  
Author(s):  
Gaylan R. Faqe Ibrahim ◽  
Kamaran Wali Mahmood ◽  
Muhammad Mirza Mahmud
Keyword(s):  
Developing Countries ◽  
Renewable Energy ◽  
Power Plants ◽  
Fossil Fuels ◽  
Solar Power ◽  
Cost Effective ◽  
Steady Increase ◽  
Industrial Growth ◽  
Analysis Technique ◽  
Solar Power Plants

Fossil fuels are non-renewable sources of energy, used particularly in developing countries. There are insufficient fossil fuels and their availability is gradually declining. This leads to a steady increase in prices. Renewable energy is clean, cost-effective and limitless. The considerable population growth and industrial growth have made the construction of solar power plants essential in developing countries. The study used Boolean logical-AHP techniques to select a suitable site for solar power in Duhok Governorate. The result indicated that 68.5% of the area in the governorate of Duhok is available for solar power station construction, especially the most appropriate zone which has 132.2 sq. km and can provide more than 8000 megawatts of solar energy. Most of the appropriate areas are in the south and southwest regions of the governorate, located mostly in the districts of Bardarash, Shekhan and Semel, situated between the major cities of Mosul, Erbil and Duhok. These locations can supply a significant amount of clean, renewable energy for these areas.

scholarly journals Smart Electric Mobility Operating System Integrated with Off-Grid Solar Power Plants in Tanzania: Vision and Trial Run

2021 ◽  
Vol 7 (2) ◽  
pp. 127-135
Author(s):  
Hyop-Seung Rhee ◽  
Hyuck-Soon Im ◽  
Frank Andrew Manongi ◽  
Young-In Shin ◽  
Ho-Won Song ◽  
...  
Keyword(s):  
Climate Change ◽  
Operating System ◽  
Renewable Energy ◽  
Electric Vehicles ◽  
Carbon Emissions ◽  
Power Plants ◽  
Solar Power ◽  
Electric Mobility ◽  
Battery Capacity ◽  
Solar Power Plants

To respond to the threat of global warming, countries around the world are promoting the spread of renewable energy and reduction of carbon emissions. In accordance with the United Nation’s Sustainable Development Goal to combat climate change and its impacts, global automakers are pushing for a full transition to electric vehicles within the next 10 years. Electric vehicles can be a useful means for reducing carbon emissions, but in order to reduce carbon generated in the stage of producing electricity for charging, a power generation system using eco-friendly renewable energy is required. In this study, we propose a smart electric mobility operating system integrated with off-grid solar power plants established in Tanzania, Africa. By applying smart monitoring and communication functions based on Arduino-based computing devices, information such as remaining battery capacity, battery status, location, speed, altitude, and road conditions of an electric vehicle or electric motorcycle is monitored. In addition, we present a scenario that communicates with the surrounding independent solar power plant infrastructure to predict the drivable distance and optimize the charging schedule and route to the destination. The feasibility of the proposed system was verified through test runs of electric motorcycles. In considering local environmental characteristics in Tanzania for the operation of the electric mobility system, factors such as eco-friendliness, economic feasibility, ease of operation, and compatibility should be weighed. The smart electric mobility operating system proposed in this study can be an important basis for implementing the SDGs' climate change response.

scholarly journals Pemasangan Lampu Jalan dan Pembangunan Pembangkit Listrik Berbasis Solar Cell Sebagai Prototype Pembelajaran Energi Terbarukan Di MA Al-Khairiyah Rancaranji

TERANG ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 100-105
Author(s):  
Septianissa Azzahra ◽  
Samsurizal Samsurizal ◽  
Christiono Christiono ◽  
Miftahul Fikri
Keyword(s):  
Renewable Energy ◽  
Solar Cell ◽  
Solar Energy ◽  
Electric Power ◽  
Power Supply ◽  
Power Plants ◽  
Solar Power ◽  
Daily Life ◽  
Street Lighting ◽  
Solar Power Plants

Renewable energy, especially solar power plants (PLTS), is now begin to develop their applications to many forms, such as: installed as a home power supply, power supply for buildings, and also as power supply for street lighting (solar street light). Madrasah Aliyah Al-Khairiyah Rancranji In this regard, as a partner, demand a socialization and a study for their students to understand more about renewable energy topics especially about solar energy. And the limited electric power is also one of the problems for this school. Therefore, PKM activity in Madrasah Aliyah Al-Khairiyah Rancaranji is a solution given by the PKM team by providing learning and an introduction of renewable energy as well as workshop and installation of PLTS and road lamps based on solar cell. Results gained after the implementation of this activity are students understand and knows about the renewable energy, its application and its benefits in daily life.

scholarly journals Multi Criteria Decision Analysis Technique for Solar Power Sites Selection in Duhok Governorate – Iraq

2021 ◽  
Author(s):  
Gaylan Rasul Faqe Ibrahim
Keyword(s):  
Developing Countries ◽  
Renewable Energy ◽  
Power Plants ◽  
Fossil Fuels ◽  
Solar Power ◽  
Cost Effective ◽  
Steady Increase ◽  
Industrial Growth ◽  
Analysis Technique ◽  
Solar Power Plants

Abstract Fossil fuels are non-renewable sources of energy, used particularly in developing countries. There are insufficient fossil fuels and their availability is gradually declining. This leads to a steady increase in prices. Renewable energy is clean, cost-effective and limitless. The considerable population growth and industrial growth have made the construction of solar power plants essential in developing countries. The study used Boolean logical-AHP techniques to select a suitable site for solar power in Duhok Governorate. The result indicated that 68.5% of the area in the governorate of Duhok is available for solar power station construction, especially the most appropriate zone which has 132.2 sq. km and can provide more than 8000 megawatts of solar energy. Most of the appropriate areas are in the south and southwest regions of the governorate, located mostly in the districts of Bardarash, Shekhan and Semel, situated between the major cities of Mosul, Erbil and Duhok. These locations can supply a significant amount of clean, renewable energy for these areas.

scholarly journals Short-term forecast methods of electricity generation by solar power plants and its classification

2019 ◽  
Vol 1260 ◽  
pp. 052033
Author(s):  
D A Tyunkov ◽  
A S Gritsay ◽  
V I Potapov ◽  
R N Khamitov ◽  
A V Blohin ◽  
...  
Keyword(s):  
Electricity Generation ◽  
Power Plants ◽  
Solar Power ◽  
Short Term ◽  
Short Term Forecast ◽  
Term Forecast ◽  
Solar Power Plants

scholarly journals Optimization under Uncertainty to Reduce the Cost of Energy for Parabolic Trough Solar Power Plants for Different Weather Conditions

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3131 ◽  
Author(s):  
Adarsh Vaderobli ◽  
Dev Parikh ◽  
Urmila Diwekar
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Power Plants ◽  
Solar Power ◽  
The United States ◽  
Black Box ◽  
Optimization Under Uncertainty ◽  
Parabolic Trough ◽  
Levelized Cost Of Electricity ◽  
Solar Power Plants

Renewable energy use can mitigate the effects of climate change. Solar energy is amongst the cleanest and most readily available renewable energy sources. However, issues of cost and uncertainty associated with solar energy need to be addressed to make it a major source of energy. These uncertainties are different for different locations. In this work, we considered four different locations in the United States of America (Northeast, Northwest, Southeast, Southwest). The weather and cost uncertainties of these locations are included in the formulation, making the problem an optimization-under-uncertainty problem. We used the novel Better Optimization of Nonlinear Uncertain Systems (BONUS) algorithm to solve these problems. The performance and economic models provided by the System Advisory Model (SAM) system from NREL were used for this optimization. Since this is a black-box model, this adds difficulty for optimization and optimization under uncertainty. The objective function and constraints in stochastic optimization (stochastic programming) problems are probabilistic functionals. The generalized treatment of such problems is to use a two-loop computationally intensive procedure, with an inner loop representing probabilistic or stochastic models or scenarios instead of the deterministic model, inside the optimization loop. BONUS circumvents the inner sampling loop, thereby reducing the computational intensity significantly. BONUS can be used for black-box models. The results show that, using the BONUS algorithm, we get 41%–47% of savings on the expected value of the Levelized Cost of Electricity (LCOE) for Parabolic Trough Solar Power Plants. The expected LCOE in New York is 57.42%, in Jacksonville is 38.52%, and in San Diego is 17.57% more than in Las Vegas. This difference is due to the differences in weather and weather uncertainties at these locations.

scholarly journals Solar power generation short-term forecasting model’s implementation experience

2018 ◽  
Vol 208 ◽  
pp. 04005 ◽  
Author(s):  
Elena Kochneva
Keyword(s):  
Electricity Market ◽  
Power Plants ◽  
Solar Power ◽  
Information Support ◽  
Practical Implementation ◽  
Short Term ◽  
Forecasting System ◽  
Solar Power Plants ◽  
Short Term Forecasting ◽  
Installed Capacity

Recently there is significant increase in the installed capacity of solar power plants in Russia. Thereby there are issues of solar power plants owners information support for participation in wholesale electricity market. The paper describes the experience of short term forecasting system practical implementation. The system is proposed for forecasting the solar power plant generation “a day ahead” as a part of the software for automatic meter reading systems “Energosfera”. The short-term forecasting program modules structure, key parameters and characteristics used during the forecasting process description is presented.

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