Energy Harvesting Using Small Renewable Energy Sources: UAV Application

2015 ◽  
Author(s):  
Sayem Zafar ◽  
Mohamed Gadalla
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Fuel Cell ◽  
Energy Harvesting ◽  
Wind Turbine ◽  
Renewable Energy Sources ◽  
Solar Flux ◽  
Energy Sources ◽  
Micro Power ◽  
Energy Harvesting System

A renewable energy harvesting system is designed and tested for micro power generation. Such systems have applications ranging from mobile use to off-grid remote applications. This study analyzed the use of micro power generation for small unmanned aerial vehicle (UAV) flight operations. The renewable energy harvesting system consisted of a small wind turbine, flexible type PV panels and a small fuel cell. Fuel cell is considered the stable source while PV and wind turbine produced varying power output. The load of around 250 W is simulated by a small motor. The micro wind turbine with the total length of 4.5 m and the disk diameter of 1.8 m is tested. The micro wind turbine dimensions make it big enough to be used to charge batteries yet small enough to be installed on rooftops or easily transportable. The wind turbine blades are installed at an angle of 22°, with respect to the disk plane, as it gives the highest rotation. The voltage and current output for the corresponding RPM and wind speeds are recorded for the wind turbine. Two 2 m and a single 1 m long WaveSol Light PV panels are tested. The PV tests are conducted to get the current and voltage output with respect to the solar flux. The variation in solar flux represented the time of day and seasons. A 250 W PEM fuel cell is tested to run the desired load. Fuel cell’s hydrogen pressure drop is recorded against the output electrical power and the run time is recorded. System performance is evaluated under different operating and environmental conditions. Data is collected for a wide range of conditions to analyze the usability of renewable energy harvesting system. This energy harvesting method significantly improves the usability and output of the renewable energy sources. It also shows that small renewable energy systems have existing applications.

scholarly journals Small Scale Vertical Axis Wind Turbine

2021 ◽  
Author(s):  
Sahishnukumar Shah
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Wind Turbine ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Electrical Power ◽  
Vertical Axis ◽  
Energy Sources ◽  
Small Scale ◽  
Vertical Axis Wind Turbine

The small-scale vertical axis wind turbine is designed and modeled in this project, considering all aspects of wind turbine such as Blade design, stator design, rotor design and converter system design. Electric Power has become a prime necessity for any country for economic development. The conventional fuel sources for power generation are depleting fast. The favorable alternatives are renewable energy sources. Although more invention has to be carried out in the field of renewable energy sources, every little effort in this direction may provide a solution to reach most economical power generation point. Hence the same topic was selected for Masters Project. The goal of this project is to design a small scale Vertical Axis Wind Turbine, which is capable of producing electrical power even with low wind velocity. It can be placed on road dividers, sidetracks of train or remote places i.e. villages, military camps, where it is not economical to transmit power from power plants. Implementation of such project would reduce the dependence of an industry or remote houses, on electricity board.

scholarly journals Small Scale Vertical Axis Wind Turbine

2021 ◽  
Author(s):  
Sahishnukumar Shah
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Wind Turbine ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Electrical Power ◽  
Vertical Axis ◽  
Energy Sources ◽  
Small Scale ◽  
Vertical Axis Wind Turbine

The small-scale vertical axis wind turbine is designed and modeled in this project, considering all aspects of wind turbine such as Blade design, stator design, rotor design and converter system design. Electric Power has become a prime necessity for any country for economic development. The conventional fuel sources for power generation are depleting fast. The favorable alternatives are renewable energy sources. Although more invention has to be carried out in the field of renewable energy sources, every little effort in this direction may provide a solution to reach most economical power generation point. Hence the same topic was selected for Masters Project. The goal of this project is to design a small scale Vertical Axis Wind Turbine, which is capable of producing electrical power even with low wind velocity. It can be placed on road dividers, sidetracks of train or remote places i.e. villages, military camps, where it is not economical to transmit power from power plants. Implementation of such project would reduce the dependence of an industry or remote houses, on electricity board.

scholarly journals Power Management Controller for Microgrid Integration of Hybrid PV/Fuel Cell System Based on Artificial Deep Neural Network

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Abdulbaset Abdulhamed Mohamed Nureddin ◽  
Javad Rahebi ◽  
Adel Ab-BelKhair
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Renewable Energy ◽  
Fuel Cell ◽  
Deep Neural Network ◽  
Consumer Demand ◽  
Renewable Energy Sources ◽  
Cell System ◽  
Energy Sources ◽  
Fuel Cell System

Nowadays, the power demand is increasing day by day due to the growth of the population and industries. The conventional power plant alone is incompetent to meet the consumer demand due to environmental concerns. In this present situation, the essential thing is to be find an alternate way to meet the consumer demand. In present days most of the developed countries concentrate to develop alternative resources and invest huge money for its research and development activities. Most renewable energy sources are naturally friendly sources such as wind, solar, fuel cell, and hydro/water sources. The results of power generation using renewable energy sources only depend on the availability of the resources. The availability of renewable energy sources throughout the day is variable due to fluctuations in the natural resources. This research work discusses two major renewable energy power generating sources: photovoltaic (PV) cell and fuel cell. Both of them provide foundations for power generation, so they are very popular because of their impressive performance mechanisms. The mentioned renewable energy-based power generating systems are static devices, so the power losses are generally ignorable as compared to line losses in the main grid. The PV and fuel cell (FC) power systems need a controller for maximum power generation during fluctuations in the input resources. Based on the investigation report, an algorithm is proposed for an advanced maximum power point tracking (MPPT) controller. This paper proposes a deep neural network- (DNN-) based MPPT algorithm, which has been simulated using MATLAB both for PV and for FC. The main purpose behind this paper has been to develop the latest DNN controller for improving the output power quality that is generated using a hybrid PV and fuel cell system. After developing and simulating the proposed system, we performed the analysis in different possible operating conditions. Finally, we evaluated the simulation outcomes based on IEEE 1547 and 519 standards to prove the system’s effectiveness.

scholarly journals Agricultural Residue Management for Sustainable Power Generation: The Poland Case Study

2021 ◽  
Vol 11 (13) ◽  
pp. 5907
Author(s):  
Valerii Havrysh ◽  
Antonina Kalinichenko ◽  
Anna Brzozowska ◽  
Jan Stebila
Keyword(s):  
Power Generation ◽  
Spatial Distribution ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Agricultural Waste ◽  
Energy Utilization ◽  
Evaluation Methodology ◽  
Energy Sources ◽  
Energy Potential ◽  
Agricultural Residue

The European Union has set targets for renewable energy utilization. Poland is a member of the EU, and its authorities support an increase in renewable energy use. The background of this study is based on the role of renewable energy sources in improving energy security and mitigation of climate change. Agricultural waste is of a significant role in bioenergy. However, there is a lack of integrated methodology for the measurement of its potential. The possibility of developing an integrated evaluation methodology for renewable energy potential and its spatial distribution was assumed as the hypothesis. The novelty of this study is the integration of two renewable energy sources: crop residues and animal husbandry waste (for biogas). To determine agricultural waste energy potential, we took into account straw requirements for stock-raising and soil conservation. The total energy potential of agricultural waste was estimated at 279.94 PJ. It can cover up to 15% of national power generation. The spatial distribution of the agricultural residue energy potential was examined. This information can be used to predict appropriate locations for biomass-based power generation facilities. The potential reduction in carbon dioxide emissions ranges from 25.7 to 33.5 Mt per year.

scholarly journals Fuzzy Controller Applied to a Remote Energy Harvesting Emulation Platform

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5874 ◽  
Author(s):  
Marcelo Miranda Camboim ◽  
Juan Moises Maurício Villanueva ◽  
Cleonilson Protasio de Souza
Keyword(s):  
Renewable Energy ◽  
Energy Harvesting ◽  
Renewable Energy Sources ◽  
Setting Time ◽  
Pi Controller ◽  
Step Response ◽  
Energy Sources ◽  
Thermal Source ◽  
Proportional Integral ◽  
Thermal Pattern

In the last decades, a lot of effort has been made in order to improve the use of environmentally friendly and renewable energy sources. In a context of small energy usage, energy harvesting takes place and thermal energy sources are one of its main energy sources because there are several unused heat sources available in the environment that may be used as renewable energy sources. To rapidly evaluate the energy potential of such thermal sources is a hard task, therefore, a way to perform this is welcome. In this work, a thermal pattern emulation system to evaluate potential thermal source in a easy way is proposed. The main characteristics of the proposed system is that it is online and remote, that is, while the thermal-source-under-test is being measured, the system is emulating it and evaluating the generated energy remotely. The main contribution of this work was to replace the conventional Proportional Integral Derivative (PID) controller to a Fuzzy-Proportional Integral (PI) controller. In order to compare both controllers, three tests were carried out, namely: (a) step response, (b) perturbation test, (c) thermal emulation of the thermal pattern obtained from a potential thermal source: tree trucks. Experimental results show that the Fuzzy-PI controller was faster than the PID, achieving a setting time 41.26% faster, and also was more efficient with a maximum error 53% smaller than the PID.

scholarly journals Potential of Utilization of Renewable Energy Technologies in Gulf Countries

2021 ◽  
Vol 13 (18) ◽  
pp. 10261
Author(s):  
J. Sadhik Basha ◽  
Tahereh Jafary ◽  
Ranjit Vasudevan ◽  
Jahanzeb Khan Bahadur ◽  
Muna Al Ajmi ◽  
...  
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
United Arab Emirates ◽  
Renewable Energy Sources ◽  
Gas Production ◽  
Energy Sources ◽  
Nonrenewable Resource ◽  
Gulf Region ◽  
Renewable Sources ◽  
Power Sources

This critical review report highlights the enormous potentiality and availability of renewable energy sources in the Gulf region. The earth suffers from extreme air pollution, climate changes, and extreme problems due to the enormous usage of underground carbon resources applications materialized in industrial, transport, and domestic sectors. The countries under Gulf Cooperation Council, i.e., Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates, mainly explore those underground carbon resources for crude oil extraction and natural gas production. As a nonrenewable resource, these are bound to be exhausted in the near future. Hence, this review discusses the importance and feasibility of renewable sources in the Gulf region to persuade the scientific community to launch and explore renewable sources to obtain the maximum benefit in electric power generation. In most parts of the Gulf region, solar and wind energy sources are abundantly available. However, attempts to harness those resources are very limited. Furthermore, in this review report, innovative areas of advanced research (such as bioenergy, biomass) were proposed for the Gulf region to extract those resources at a higher magnitude to generate surplus power generation. Overall, this report clearly depicts the current scenario, current power demand, currently installed capacities, and the future strategies of power production from renewable power sources (viz., solar, wind, tidal, biomass, and bioenergy) in each and every part of the Gulf region.

scholarly journals Assessing Renewable Energy Sources for Electricity (RES-E) Potential using a CAPM-Analogous Multi-Stage Model

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3599 ◽  
Author(s):  
Martinez-Fernandez ◽  
deLlano-Paz ◽  
Calvo-Silvosa ◽  
Soares
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Carbon Capture ◽  
Renewable Energy Sources ◽  
Carbon Capture And Storage ◽  
Offshore Wind ◽  
Energy Sources ◽  
Low Carbon ◽  
Multi Stage ◽  
The Cost

Carbon mitigation is a major aim of the power-generation regulation. Renewable energy sources for electricity are essential to design a future low-carbon mix. In this work, financial Modern Portfolio Theory (MPT) is implemented to optimize the power-generation technologies portfolio. We include technological and environmental restrictions in the model. The optimization is carried out in two stages. Firstly, we minimize the cost and risk of the generation portfolio, and afterwards, we minimize its emission factor and risk. By combining these two results, we are able to draw an area which can be considered analogous to the Capital Market Line (CML) used by the Capital Asset Pricing model (CAPM). This area delimits the set of long-term power-generation portfolios that can be selected to achieve a progressive decarbonisation of the mix. This work confirms the relevant role of small hydro, offshore wind, and large hydro as preferential technologies in efficient portfolios. It is necessary to include all available renewable technologies in order to reduce the cost and the risk of the portfolio, benefiting from the diversification effect. Additionally, carbon capture and storage technologies must be available and deployed if fossil fuel technologies remain in the portfolio in a low-carbon approach.

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