scholarly journals Methods of using ecological sources of clean energy in the cultivation of bell pepper seedlings

2021 ◽  
Vol 939 (1) ◽  
pp. 012007
Author(s):  
T Baizakov ◽  
R Yunusov ◽  
Sh Yusupov ◽  
Z Kilichev ◽  
Yu Xasanova
Keyword(s):  
Solar Cells ◽  
Solar Energy ◽  
Agricultural Production ◽  
Clean Energy ◽  
Energy Development ◽  
Operating Conditions ◽  
Bell Pepper ◽  
Power Sources ◽  
Innovative Technologies

Abstract Development of ways to use solar energy as a source of clean energy. Development of scientific foundations for the widespread use of solar cells, their new capabilities, development of methods for increasing efficiency. With the development of new innovative technologies, it is necessary to study the operating conditions of autonomous power sources that can be used by consumers, their period of operation, and their in-depth structure. This article describes the role of greenhouses in agricultural production and the structure of autonomous power sources and their principles of operation.

scholarly journals Origin of the electrocatalytic activity in carbon nanotube fiber counter-electrodes for solar-energy conversion

2020 ◽  
Vol 2 (10) ◽  
pp. 4400-4409
Author(s):  
Alba Martínez-Muíño ◽  
Moumita Rana ◽  
Juan J. Vilatela ◽  
Rubén D. Costa
Keyword(s):  
Solar Cells ◽  
Carbon Nanotube ◽  
Solar Energy ◽  
High Activity ◽  
Functional Groups ◽  
Electrocatalytic Activity ◽  
Counter Electrodes ◽  
Fe Catalyst ◽  
Carbon Nanotube Fiber

A study of the role of functional groups and residual Fe catalyst on the high activity of carbon nanotube (CNT) fibre counter electrodes outperforming Pt in dye-sensitised solar cells (DSSCs) with Co2+/Co3+ redox couple electrolytes.

scholarly journals Features of the choice of the trajectory and stages of the flight of an unmanned aircraft on solar energy in a restless atmosphere

2019 ◽  
Vol 63 (4) ◽  
pp. 486-500
Author(s):  
V. V. Suchow ◽  
Ya. S. Kozei
Keyword(s):  
Solar Cells ◽  
Solar Energy ◽  
Unmanned Aircraft ◽  
Operating Conditions ◽  
Design Parameters ◽  
Design Constraints ◽  
Operational Conditions ◽  
Actual Operating ◽  
Solar Powered ◽  
Atmospheric Factors

When forming the design parameters of an unmanned aerial vehicle (UAV) on solar energy, it is important to consider the peculiarities of energy supply not only when performing horizontal flight, but also at other stages (take-off, landing, maneuver, etc.), which ultimately form a common flight trajectory the implementation of which ensures the implementation of the specific task assigned to the UAV. However, the flight should be considered taking into account the actual operating conditions, including atmospheric factors. Determining the features of planning the trajectories and stages of flight of a UAV on solar energy during the implementation of a long flight, considering energy, design constraints and actual operating conditions, is the goal of this work. The possible trajectories of flight of UAVs on solar cells are determined in accordance with the typical tasks of its practical application. A discrete model is proposed for planning a trajectory of a route for a UAV on solar cells. The principles of the implementation of the stages of takeoff and landing of UAVs on solar energy are described, the dependencies between the energy consumption and the main parameters of each stage are determined. The dependences are obtained for determining the main components of the energy balance of UAVs on solar energy on the parameters of curvilinear flight. Verification of the obtained dependences was carried out by comparing the calculated and experimental (flight) data for a particular UAV on solar energy, which is of the mini class by mass. The convergence of the results of calculation and experiment is in the range of 15–20 %. The factors acting on an aircraft in a restless atmosphere, their effect on operational and design constraints are established. A generalized analytical model was obtained to determine the conditions for the implementation of a long flight (4–6 hours) of a solar-powered UAV, considering: mass, aerodynamic, energy characteristics; trajectory, atmospheric and operational conditions. The results of the study can be used at forming the shape of a UAV on solar energy at the stage of its preliminary design. 

Roadmap for carbon neutrality: the mediating role of clean energy development-related investments

2022 ◽  
Author(s):  
Khudoykulov Khurshid Kurramovich ◽  
Asif Ali Abro ◽  
Arif I. Vaseer ◽  
Saad Uddin Khan ◽  
Syed Rashid Ali ◽  
...  
Keyword(s):  
Clean Energy ◽  
Energy Development ◽  
Carbon Neutrality ◽  
Mediating Role

Thin Film Solar Cell: Characteristics and Characterizations

2015 ◽  
Vol 1116 ◽  
pp. 51-58 ◽  
Author(s):  
Mohammad Kamal Hossain
Keyword(s):  
Thin Film ◽  
Solar Cells ◽  
Solar Cell ◽  
Solar Energy ◽  
Thin Film Solar Cell ◽  
Energy Demand ◽  
Low Cost ◽  
Clean Energy ◽  
Manufacturing Cost ◽  
Human Society

In recent decades, due to some urgent and unavoidable issues, such as increasing energy demand, climate change, global warming, etc., the R&D of renewable energies have become inevitable to pave way the sustainable development of human society. In this regard, solar power is widely considered as the most appealing clean energy since there is no other one being as abundant as the sun. The amount of solar energy reaching our earth within one hour equals to the total annual energy need of all of humankind. Since the energy resources on Earth are being exhausted, solar energy have to serve as the main energy source in coming century and beyond. The photovoltaic solar cells developed so far have been based on silicon wafers, with this dominance likely to continue well into the future. The surge in manufacturing volume as well as emerging technologies over the last decade has resulted in greatly decreased costs. Therefore, several companies are now well below the USD 1 W−1 module manufacturing cost benchmark that was once regarded as the lowest possible with this technology. Thin-film silicon, such as hydrogenated amorphous silicon (a-Si), microcrystalline silicon (mc-Si) and related alloys, are promising materials for very low-cost solar cells. Here in this article, a brief description of thin film solar cell technologies followed by deferent state-of-art tools used for characterizing such solar cells are explored. Since characteristics of thin-film solar cells are the main ingredient in defining efficiency, the inherent properties are also mentioned alongside the characterizations.

scholarly journals Using Machine Learning Tools to Predict Compressor Stall

2020 ◽  
Vol 142 (7) ◽  
Author(s):  
Samuel M. Hipple ◽  
Harry Bonilla-Alvarado ◽  
Paolo Pezzini ◽  
Lawrence Shadle ◽  
Kenneth M. Bryden
Keyword(s):  
Machine Learning ◽  
Power Systems ◽  
Gas Turbine ◽  
Clean Energy ◽  
Operating Conditions ◽  
Learning Tools ◽  
Power Sources ◽  
Load Following ◽  
Wide Range ◽  
Compressor Surge

Abstract Clean energy has become an increasingly important consideration in today’s power systems. As the push for clean energy continues, many coal-fired power plants are being decommissioned in favor of renewable power sources such as wind and solar. However, the intermittent nature of renewables means that dynamic load following traditional power systems is crucial to grid stability. With high flexibility and fast response at a wide range of operating conditions, gas turbine systems are poised to become the main load following component in the power grid. Yet, rapid changes in load can lead to fluid flow instabilities in gas turbine power systems. These instabilities often lead to compressor surge and stall, which are some of the most critical problems facing the safe and efficient operation of compressors in turbomachinery today. Although the topic of compressor surge and stall has been extensively researched, no methods for early prediction have been proven effective. This study explores the utilization of machine learning tools to predict compressor stall. The long short-term memory (LSTM) model, a form of recurrent neural network (RNN), was trained using real compressor stall datasets from a 100 kW recuperated gas turbine power system designed for hybrid configuration. Two variations of the LSTM model, classification and regression, were tested to determine optimal performance. The regression scheme was determined to be the most accurate approach, and a tool for predicting compressor stall was developed using this configuration. Results show that the tool is capable of predicting stalls 5–20 ms before they occur. With a high-speed controller capable of 5 ms time-steps, mitigating action could be taken to prevent compressor stall before it occurs.

scholarly journals ANALISIS KEMAMPUAN BERPIKIR KRITIS MAHASISWA PENDIDIKAN FISIKA SEMESTER 3 TENTANG PEMANFAATAN TEKNOLOGI SOLAR CELL TERHADAP LINGKUNGAN

2021 ◽  
Vol 2 (1) ◽  
pp. 10
Author(s):  
Rosdiana Afifah Rahman ◽  
Sudarti Sudarti
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Solar Energy ◽  
Physics Education ◽  
The Sun ◽  
Cell Technology ◽  
Technology Students ◽  
Quantitative Descriptive ◽  
Solar Cell Technology

This article aims to analyze students' understanding of the purpose of solar cell technology. Because the role of students is very important in developing one of the renewable energies that is solar cells. There are still many people who have not seen other benefits from the sun, as well as ways to use solar energy for other processes, such as the use of solar cells in households and so on. Most of humans have not seen other ways and benefits of solar energy. So that to socialize the use of solar cell technology, students need to understand how important solar energy is as a renewable energy and how to use it. The method used in this study used quantitative descriptive, with the sample of 2019 class of physics education students.Keywords: Solar cell, Environment, Renewable.

scholarly journals Numerical Investigation of PEMFC Short-Circuit Behaviour Using an Agglomerate Model Approach

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4108
Author(s):  
Carsten Cosse ◽  
Marc Schumann ◽  
Florian Grumm ◽  
Daniel Becker ◽  
Detlef Schulz
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Double Layer ◽  
Short Circuit ◽  
Clean Energy ◽  
Gas Diffusion ◽  
Operating Conditions ◽  
Power Sources ◽  
Peak Current ◽  
Double Layer Capacity

With increasing interest in clean energy generation in the transportation sector, increasing attention has been given to polymer-electrolyte-membrane fuel cells as viable power sources. One issue, the widespread application of this technology faces, is the insufficient knowledge regarding the transient behaviour of fuel cells, for instance, following a short-circuit event. In this paper, an agglomerate model is presented and validated, which enables the transient simulation of short-circuit events to predict the resulting peak current and discharge of the double layer capacity. The model allows for the incorporation of detailed morphological and compositional information regarding all fuel cell components. This information is used to calculate the reaction rate, diffusional and convectional species transfer, and the momentum transport. It can be shown that the charge in the double layer capacitance of the fuel cell is key to predicting the peak current and its charge is dependent on the operating conditions of the fuel cell. Further, the effects of the magnitude of the double layer capacity, current rise time and stoichiometry on the dynamic behaviour of the fuel cell are investigated. It can be shown that the discharge of the double layer capacity proceeds from the membrane through the catalyst layer to the gas diffusion layer and that the stoichiometry of the gas supply does not significantly change the absolute peak value of the short-circuit current.

scholarly journals Solar Energy and Nanomaterials for Clean Energy Development

2009 ◽  
Vol 2009 ◽  
pp. 1-2 ◽  
Author(s):  
M. S. A. Abdel-Mottaleb ◽  
Frank Nüesch ◽  
Mohamed M. S. A. Abdel-Mottaleb
Keyword(s):  
Solar Energy ◽  
Clean Energy ◽  
Energy Development
Sign in / Sign up

Export Citation Format

Share Document