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Готові списки джерел за темами / Unmanned aerial vehicle using solar energy / Статті в журналах

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Статті в журналах з теми "Unmanned aerial vehicle using solar energy"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 липня 2025

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1

Hu, Xusheng, Juan Liu, and Rajesh Kocheril. "Design of Solar Endurance Control for Unmanned Aerial Vehicles based on Schmidt Trigger Control." Journal of Physics: Conference Series 2560, no. 1 (2023): 012028. http://dx.doi.org/10.1088/1742-6596/2560/1/012028.

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Abstract In order to improve the endurance of unmanned aerial vehicles (UAVs), a power supply controller with automatic switching between solar energy and battery was designed. The controller is mainly composed of an AT89C51 single chip microcomputer. By collecting ambient light intensity and comparing it with the preset light intensity of the system, the controller completes automatic switching of the power supply for solar unmanned aerial vehicles, thereby achieving continuous and stable power supply for solar unmanned aerial vehicles. In addition, the implementation method of the single-chi

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2

Hernandez-Toral, Jorge L., Iván González-Hernández, and Rogelio Lozano. "Sun Tracking Technique Applied to a Solar Unmanned Aerial Vehicle." Drones 3, no. 2 (2019): 51. http://dx.doi.org/10.3390/drones3020051.

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Анотація:

In recent years, solar energy has been used as an energy source for many different applications. Currently in the area of Unmanned Aerial Vehicles (UAVs), there are research studies that incorporate this renewable energy technology to increase the vehicle’s autonomy. This technique also needs particular construction techniques and electronic boards, designed to reduce weight and increase the efficiency of all solar systems on board the UAV. As is well known, the amount of generated solar energy could be increased throughout a day a sun tracking technique is added. The present paper proves that

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3

Holness, Alex E., Hannah Solheim, Hugh A. Bruck, and Satyandra K. Gupta. "A design framework for realizing multifunctional wings for flapping wing air vehicles using solar cells." International Journal of Micro Air Vehicles 11 (January 2019): 175682931983627. http://dx.doi.org/10.1177/1756829319836279.

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Long flight durations are highly desirable to expand mission capabilities for unmanned air systems and autonomous applications in particular. Flapping wing aerial vehicles are unmanned air system platforms offering several performance advantages over fixed wing and rotorcraft platforms, but are unable to reach comparable flight times when powered by batteries. One solution to this problem has been to integrate energy harvesting technologies in components, such as wings. To this end, a framework for designing flapping wing aerial vehicle using multifunctional wings using solar cells is describe

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4

Ekawita, Riska, Ismail Fahmy Almadi, and Elfi Yuliza. "Investigating rooftop solar energy potential in coastal area with unmanned aerial vehicle technology." Journal of Energy Systems 9, no. 1 (2025): 1–11. https://doi.org/10.30521/jes.1416277.

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Bengkulu has abundant direct sunlight all year round. Nonetheless, this region faces limited energy availability. Based on its potential, there is an immense opportunity for the development of electrical energy systems based on solar energy. In the coastal area, the operation of this energy system is still too limited and vulnerable. In order to fix energy requirements, a rooftop solar photovoltaic (PV) system can be implemented. The utilization of the rooftop requires preliminary studies related to solar mapping to identify the economic potential of the rooftop solar energy system. In this st

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5

Ailon, A. "A path planning approach for unmanned solar-powered aerial vehicles." Renewable Energy and Power Quality Journal 21, no. 1 (2023): 109–14. http://dx.doi.org/10.24084/repqj21.240.

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Solar energy is an available high-quality source for the operation of many technological systems that fulfil the needs of human society. Among all the many applications, the use of solar energy in aircraft is extremely challenging, with a lot of potential advantages. The application of solar energy for flight is one of the promising uses of renewable energy, and in particular the possibility of improving the long endurance requirement in complex missions of unmanned aerial vehicles (UAVs) using solar energy is very attractive. In this context, the article deals with the problem of flight path

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6

Wang, Hui, Peimiao Li, Heye Xiao, Xuzhi Zhou, and Ruiwu Lei. "Intelligent energy management for solar-powered unmanned aerial vehicle using multi-objective genetic algorithm." Energy Conversion and Management 280 (March 2023): 116805. http://dx.doi.org/10.1016/j.enconman.2023.116805.

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7

Fazylova, Alina, Kuanysh Alipbayev, Kenzhebek Myrzabekov, Alisher Aden, and Teodor Iliev. "The Aerodynamically Driven Orientation Control of a Solar Panel on an Aircraft with Numerical Simulation." Drones 9, no. 7 (2025): 458. https://doi.org/10.3390/drones9070458.

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For unmanned aerial vehicles with long-duration autonomous missions, efficient energy management is critically important. One of the most promising solutions is solar power, the implementation of which requires the continuous orientation tracking of the Sun’s position. This study presents a three-axis active solar tracking system based on a gimbal mount, providing full kinematic control of the panel in space. A mathematical model of orientation is developed using the Earth-Centered Inertial, local geographic frame, and unmanned aerial vehicle body coordinate systems. An aerodynamic analysis is

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8

Pruthviraj, Umesh, Yashwant Kashyap, Effrosyni Baxevanaki, and Panagiotis Kosmopoulos. "Solar Photovoltaic Hotspot Inspection Using Unmanned Aerial Vehicle Thermal Images at a Solar Field in South India." Remote Sensing 15, no. 7 (2023): 1914. http://dx.doi.org/10.3390/rs15071914.

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The sun is an abundant source of energy, and solar energy has been at the forefront of the renewable energy sector for years. A way to convert it into electricity is by the use of solar cells. Multiple solar cells, connected to each other, create solar panels, which in their turn, are connected in a solar string, and they create solar farms. These structures are extremely efficient in electricity production, but also, cells are fragile in nature and delicate to environmental conditions, which is the reason why some of them show discrepancies and are called defective. In this research, a therma

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9

Nileshkumar, Shah Krutikk, Prajapati Prince, and Karandikar Jay Mukulbhai. "Design and Development of Solar Drone." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 2578–83. http://dx.doi.org/10.22214/ijraset.2023.50649.

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Abstract: The harnessing of solar energy during operations of unmanned aerial vehicle(UAV) provides potential solution to combat energy constraints. This Thesis examines the practicality of mini solar drone and provide experimental validation in regards to energy maximization through solar energy management and flight time optimization.The simulations results are consistent with real time measurements during flight test. This project deals with a quadcopter using solar energy as well as lithium polymer battery as power source combination to give maximum flight output. Using solar panels, it co

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10

Zavgorodnii, A. S., and D. A. Filippov. "System for control the power of an on-board signal generator of an unmanned aerial vehicle." Izmeritel`naya Tekhnika 73, no. 6 (2024): 42–47. http://dx.doi.org/10.32446/0368-1025it.2024-6-40-45.

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In this paper, the issues of calibration of the transmission coeffi cient of the antenna system of a ground station for monitoring the energy characteristics of signals from global navigation satellite systems are considered. The most commonly used method for calibrating the transmission coeffi cient of large-aperture mirror antenna systems based on solar radio emission is presented, its advantages and disadvantages are described. To eliminate the disadvantages of calibration based on solar radio emission (a limited range of working angles of the site, the need to involve thirdparty data on th

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11

Engana Carmo, Joana, João Paulo Neto Torres, Gonçalo Cruz, and Ricardo A. Marques Lameirinhas. "Effect of the Inclusion of Photovoltaic Solar Panels in the Autonomy of UAV Time of Flight." Energies 14, no. 4 (2021): 876. http://dx.doi.org/10.3390/en14040876.

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Photovoltaic technology and unmanned aerial vehicles are both alluring areas with a lot of potential to explore. Consequently, they have an ability to adapt and progress when faced with new challenges, hence their wide range of applications. An auspicious combination between the two is born from the Unmanned Aerial Vehicles’ (UAVs) inability to to overcome some of its problems, namely the autonomy one. This article springs from the need to vanquish the problem, finding a more permanent solution. Its aim consists in the installation of solar photovoltaic panels in the structure of a UAV, with t

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12

Fuentes, Jose Eduardo, Francisco David Moya, and Oscar Danilo Montoya. "Method for Estimating Solar Energy Potential Based on Photogrammetry from Unmanned Aerial Vehicles." Electronics 9, no. 12 (2020): 2144. http://dx.doi.org/10.3390/electronics9122144.

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This study presents a method to estimate the solar energy potential based on 3D data taken from unmanned aerial devices. The solar energy potential on the roof of a building was estimated before the placement of solar panels using photogrammetric data analyzed in a geographic information system, and the predictions were compared with the data recorded after installation. The areas of the roofs were chosen using digital surface models and the hemispherical viewshed algorithm, considering how the solar radiation on the roof surface would be affected by the orientation of the surface with respect

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13

Filho, José Ilton De Oliveira, Omar Alkhazragi, Abderrahmen Trichili, Boon S. Ooi, Mohamed-Slim Alouini, and Khaled Nabil Salama. "Simultaneous Lightwave and Power Transfer for Internet of Things Devices." Energies 15, no. 8 (2022): 2814. http://dx.doi.org/10.3390/en15082814.

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A laudable goal toward achieving autonomous internet of things (IoT) devices would be to use the same circuitry for communication and harvesting energy. One way to achieve it is through simultaneous lightwave and power transfer (SLIPT) that consists of using solar cells to harvest energy and receive information signals. Here, a SLIPT-based system that uses a large area solar panel to harvest energy from light sources and decode data signals is designed. The designed system is equipped with an infrared sensor used to detect the movements of an unmanned aerial vehicle. We equally discuss the wid

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14

Huang, Hailong, and Andrey V. Savkin. "Path Planning for a Solar-Powered UAV Inspecting Mountain Sites for Safety and Rescue." Energies 14, no. 7 (2021): 1968. http://dx.doi.org/10.3390/en14071968.

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This paper focuses on the application using a solar-powered unmanned aerial vehicle (UAV) to inspect mountain sites for the purpose of safety and rescue. An inspection path planning problem is formulated, which looks for the path for an UAV to visit a set of sites where people may appear while avoiding collisions with mountains and maintaining positive residual energy. A rapidly exploring random tree (RRT)-based planning method is proposed. This method firstly finds a feasible path that satisfies the residual energy requirement and then shortens the path if there is some abundant residual ener

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15

Al-Bahrany, Mays Abbas, and Ahmad T. Abdulsadda. "Smart Drone with Renewable Smart System." International Journal of Electrical Engineering and Computer Science 5 (November 6, 2023): 188–94. http://dx.doi.org/10.37394/232027.2023.5.21.

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In order to lessen its negative effects on the environment and to maintain its future operations in a clear, renewable, and sustainable manner, the aviation industry has begun developing designs that are dependent on alternative energy sources but also friendly to the environment and conventional energy. Solar energy has been suggested as a potential remedy. Aerial vehicles driven by solar energy are viewed as essential to limiting the consequences of global warming. In this study, a MATLAB/Simulink environment is used to simulate a mathematical model of a solar-powered BLDC motor of a UAV. un

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16

Jumaboev, Sherozbek, Dadajon Jurakuziev, and Malrey Lee. "Photovoltaics Plant Fault Detection Using Deep Learning Techniques." Remote Sensing 14, no. 15 (2022): 3728. http://dx.doi.org/10.3390/rs14153728.

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Solar energy is the fastest-growing clean and sustainable energy source, outperforming other forms of energy generation. Usually, solar panels are low maintenance and do not require permanent service. However, plenty of problems can result in a production loss of up to ~20% since a failed panel will impact the generation of a whole array. High-quality and timely maintenance of the power plant will reduce the cost of its repair and, most importantly, increase the life of the power plant and the total generation of electricity. Manual monitoring of panels is costly and time-consuming on large so

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17

Muhmad Kamarulzaman, Aisyah Marliza, Wan Shafrina Wan Mohd Jaafar, Nurul Asyiqin Abu Bakar, et al. "Comprehensive Analysis of Solar Photovoltaic System Defects and Inspection Techniques in Tropical Environments Using Thermal UAV: Study Case in Marang, Terengganu." E3S Web of Conferences 599 (2024): 03003. https://doi.org/10.1051/e3sconf/202459903003.

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Solar power plays a key role in sustainable energy development. However, tropical climates pose challenges such as high temperatures and humidity, requiring a deep understanding of PV system defects. This study uses unmanned aerial vehicle thermographic inspection techniques to assess defects in solar farms in Marang, Terengganu, aiming to improve solar energy reliability in tropical environments. Results show that Bypass Diode issues are the most common defect, making up 75.70% of occurrences, indicating a critical area for remediation. Clusters of Thermal Anomalies (CTA) defects follow at 13

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18

Starzyński, Jacek, Paweł Zawadzki, and Dariusz Harańczyk. "Machine Learning in Solar Plants Inspection Automation." Energies 15, no. 16 (2022): 5966. http://dx.doi.org/10.3390/en15165966.

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The emergence of large photovoltaic farms poses a new challenge for quick and economic diagnostics of such installations. This article presents this issue starting from a quantitative analysis of the impact of panel defects, faulty installation, and lack of farm maintenance on electricity production. We propose a low-cost and efficient method for photovoltaic (PV) plant quality surveillance that combines technologies such as an unmanned aerial vehicle (UAV), thermal imaging, and machine learning so that systematic inspection of a PV farm can be performed frequently. Most emphasis is placed on

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19

Ren, Simiao, Jordan Malof, Rob Fetter, Robert Beach, Jay Rineer, and Kyle Bradbury. "Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning." ISPRS International Journal of Geo-Information 11, no. 4 (2022): 222. http://dx.doi.org/10.3390/ijgi11040222.

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Solar home systems (SHS), a cost-effective solution for rural communities far from the grid in developing countries, are small solar panels and associated equipment that provides power to a single household. A crucial resource for targeting further investment of public and private resources, as well as tracking the progress of universal electrification goals, is shared access to high-quality data on individual SHS installations including information such as location and power capacity. Though recent studies utilizing satellite imagery and machine learning to detect solar panels have emerged, t

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20

Yi, Jun Min, and Ikjune Yoon. "Efficient Energy Supply Using Mobile Charger for Solar-Powered Wireless Sensor Networks." Sensors 19, no. 12 (2019): 2679. http://dx.doi.org/10.3390/s19122679.

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An energy-harvesting wireless sensor network mitigates the energy shortage problems of existing battery-based wireless sensors; however, its hotspot area sensor nodes still experience 3 blackouts, thereby reducing network connectivity. Techniques that transfer energy directly to sensor nodes using wireless power transfer (WPT) have been studied in recent years to address this issue. In this paper, we propose a technique that uses a drone (quadcopter), which is a type of unmanned aerial vehicle (UAV), as a mobile sink. The drone selects and manages anchor nodes that aggregate data temporarily,

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21

Lee, Dong Ho, and Jong Hwa Park. "Developing Inspection Methodology of Solar Energy Plants by Thermal Infrared Sensor on Board Unmanned Aerial Vehicles." Energies 12, no. 15 (2019): 2928. http://dx.doi.org/10.3390/en12152928.

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Photovoltaic (PV) power generation facilities have been built on various scales due to rapid growth in response to demand for renewable energy. Facilities built on diverse terrain and on such a scale are required to employ fast and accurate monitoring technology for stable electrical production and maintenance. The purpose of this study was to develop a technology to analyze the normal operation and failure of solar modules by acquiring images by attaching optical and thermal infrared sensors to unmanned aerial vehicles (UAVs) and producing orthographic images of temperature information. The r

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22

Liu, S., J. Bai, and C. Wang. "Energy acquisition of a small solar UAV using dynamic soaring." Aeronautical Journal 125, no. 1283 (2020): 60–86. http://dx.doi.org/10.1017/aer.2020.79.

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ABSTRACTDynamic soaring improves the endurance of Unmanned Aerial Vehicles (UAVs) by obtaining energy from the horizontal wind shear gradient. The use of dynamic soaring in small solar UAVs can mitigate the trade-off between energy capacity and battery weight to achieve continuous all-day flight. The goal of this study is to determine the optimal energy acquisition methods for small solar UAVs using dynamic soaring and to decrease the battery weight to achieve all-day flight. A dynamic soaring UAV model that considers the influence of the wind shear gradient and a solar power energy model are

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23

Idris, N. F., M. A. Ahmad, M. D. Kahlid, A. Kamal, H. Hamdan, and M. J. Ahmad. "UAV Thermal Imaging for Solar Panel Assessment." IOP Conference Series: Earth and Environmental Science 1453, no. 1 (2025): 012063. https://doi.org/10.1088/1755-1315/1453/1/012063.

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Abstract One of the most significant sustainable energy sources in recent times is solar energy. A high-rise building’s solar panels are usually costly and require considerable time to inspect. The installation of solar panels using monocrystalline solar cells at Faculty of Civil Engineering and Built Environment (FKAAB) building is a notable step towards the university’s commitment to sustainability and environmental responsibility. This study utilized unmanned aerial vehicle (UAV) equipped with thermal imaging technology to inspect solar panels at the FKAAB building. UAV with thermal camera

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24

GHELEM, Nourddine, Djamal BOUDANA, and Ouahid BOUCHHIDA. "Design of longitudinal autopilot for Sky Sailor UAV using SLC and TECS controllers." INCAS BULLETIN 15, no. 1 (2023): 35–46. http://dx.doi.org/10.13111/2066-8201.2023.15.1.4.

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in recent years, UAVs (Unmanned Aerial Vehicle) have become playing an active role and have been involved in a number of fields such as surveillance, photography, agriculture, transportation and communications. For this reason, the research institution is working to develop linear and non-linear controllers to make these UAVs more stable and effective while performing various tasks assigned to them. In this paper, a longitudinal autopilot was designed for a solar UAV (sky sailor) using two controllers, the first is SLC (Successive Loop Closure) which is a classic controller that is based on su

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25

Chiang, Wei-Hsiang, Han-Sheng Wu, Jong-Shinn Wu, and Shiow-Jyu Lin. "A Method for Estimating On-Field Photovoltaics System Efficiency Using Thermal Imaging and Weather Instrument Data and an Unmanned Aerial Vehicle." Energies 15, no. 16 (2022): 5835. http://dx.doi.org/10.3390/en15165835.

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A new approach is proposed for estimating the power efficiency of an on-field solar photovoltaics (PV) system using data from thermal imaging and weather instruments obtained using an unmanned aerial vehicle (UAV). This method is specifically designed for the non-intrusive detection of the performance of the PV system in a large-scale solar power plant that could be efficient, manpower saving, operationally safe and comprehensive. In this study, a drone instrumented with a radiometer, a thermometer and an anemometer flew at a height of 1.5 m with a maximum lateral flight speed of 3.6 m/s above

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26

Liu, Li, Wencan Bai, and Dun Yang. "Flight Endurance Increasing Technology of New Energy UAV Based on a Strut-Braced Wing." International Journal of Aerospace Engineering 2022 (October 5, 2022): 1–13. http://dx.doi.org/10.1155/2022/4868037.

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This paper explores the feasibility of using the strut-braced wing (SBW) configuration to improve the flight endurance of the new energy unmanned aerial vehicle (UAV). A conceptual scheme of a new energy UAV with SBW configuration was designed, and the influence of the SBW on the aerodynamic and structural performance was analyzed. The results show that the SBW can improve the structural performance of the wing and increase the solar laying area of the wing, but the aerodynamic performance did not improve significantly. From the perspective of UAV energy consumption in level flight, the subtra

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27

Lee, Chung-Hyun, Woo-Hyuk Lee, Yosoon Choi, Jangwon Suh, and Sung-Min Kim. "Rapid and Effective Technology Development for 3D-Model-Based Solar Access Analysis and Comparative Study with Fish-Eye Camera." Energies 16, no. 7 (2023): 3135. http://dx.doi.org/10.3390/en16073135.

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In this study, we developed a 3D-model-based technology that can evaluate solar access by analyzing solar radiation and shade to find the optimal location for a solar system. We developed an algorithm that can quickly calculate viewshed by applying ray-casting technology, which is useful in the field of computer graphics. To apply the developed technology, an unmanned aerial vehicle (DJI MAVIC 3) was used to create a 3D model by taking 320 photos of the Kangwon National University Samcheok campus. To verify the developed technology, a comparison with image-based analysis using a 360-degree cam

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28

Liao, Kuo-Chien, and Jau-Huai Lu. "Using UAV to Detect Solar Module Fault Conditions of a Solar Power Farm with IR and Visual Image Analysis." Applied Sciences 11, no. 4 (2021): 1835. http://dx.doi.org/10.3390/app11041835.

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In recent years, solar energy has been regarded as one of the most important sustainable energy sources. Under the rapid and large-scale construction of solar farms, the maintenance and inspection of the health conditions of solar modules in a large solar farm become an important issue. This article proposes a method for detecting solar cell faults with unmanned aerial vehicle (UAV) equipped with a thermal imager and a visible light camera, and providing a fast and reliable detection method. The detection process includes a new concept of real-time monitoring of the detected area and analysis

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29

Xu, Huaixing, Juzhong Wang, Yiling Qu, et al. "Estimating Leaf Chlorophyll Content of Moso Bamboo Based on Unmanned Aerial Vehicle Visible Images." Remote Sensing 14, no. 12 (2022): 2864. http://dx.doi.org/10.3390/rs14122864.

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Leaf chlorophyll content is an important indicator of the physiological and ecological functions of plants. Accurate estimation of leaf chlorophyll content is necessary to understand energy, carbon, and water exchange between plants and the atmosphere. The leaf chlorophyll content index (CCI) of 109 Moso bamboo samples (19 for training data, 19 for validation data, and 71 for extrapolation data) was measured from December 2019 to May 2021, while their corresponding red–green–blue (RGB) images were acquired using an unmanned aerial vehicle (UAV) platform. A method for estimating leaf CCI based

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30

da Silva, José Roberto Cândido, and Gefeson Mendes Pacheco. "An Extended Methodology for Sizing Solar Unmanned Aerial Vehicles: Theory and Development of a Python Framework for Design Assist." Sensors 21, no. 22 (2021): 7541. http://dx.doi.org/10.3390/s21227541.

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Анотація:

There is a growing interest in using unmanned aerial vehicles (UAVs) in the most diverse application areas from agriculture to remote sensing, that determine the need to project and define mission profiles of the UAVs. In addition, solar photovoltaic energy increases the flight autonomy of this type of aircraft, forming the term Solar UAV. This study proposes an extended methodology for sizing Solar UAVs that take off from a runway. This methodology considers mission parameters such as operating location, altitude, flight speed, flight endurance, and payload to sizing the aircraft parameters,

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31

Shaik, Ayesha, Ananthakrishnan Balasundaram, Lakshmi Sairam Kakarla, and Nivedita Murugan. "Deep Learning-Based Detection and Segmentation of Damage in Solar Panels." Automation 5, no. 2 (2024): 128–50. http://dx.doi.org/10.3390/automation5020009.

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Renewable energy can lead to a sustainable future and solar energy is one the primary sources of renewable energy. Solar energy is harvested mainly by photovoltaic plants. Though there are a large number of solar panels, the economic efficiency of solar panels is not that high in comparison to energy production from coal or nuclear matter. The main risk involved in solar plants is the high maintenance cost involved in maintaining the plants. To help reduce this issue, automated solutions using Unmanned Aerial Vehicles (UAVs) and satellite imagery are proposed. In this research work, we propose

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32

Zhao, Gengjia, Yaping Li, Fayou Yang, and Xin Cao. "Conceptual design of solar-powered UAVs based on variable altitude flight path." Journal of Physics: Conference Series 2977, no. 1 (2025): 012011. https://doi.org/10.1088/1742-6596/2977/1/012011.

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Abstract Aiming at the problems of the conventional design method is not applicable and multiple coupling factors in the conceptual parameter of solar-powered unmanned aerial vehicles (UAVs), this paper proposes an overall parameters design method using an algorithm. Firstly, according to the energy principles of solar-powered UAVs, the multi-disciplinary parameter models were established. This model incorporates the study of motion conditions and power required calculations for various parts of the flight profile which are based on the principle of variable altitude flight path. Secondly, min

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Pisarevskiy, Yu V., V. B. Fursov, A. Yu Pisarevskiy, P. N. Tatarnikov, N. V. Sitnikov, and S. A. Goremykin. "Electric hybrid airship with unlimited flight time." E3S Web of Conferences 220 (2020): 01028. http://dx.doi.org/10.1051/e3sconf/202022001028.

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This paper examines the possibility of using photoelectric energy conversion during creation of electric unmanned aerial vehicles of a hybrid type. These vehicles should operate at altitudes up to 22,000 m and have an unregulated flight time. The problems arising during creation of such devices are their instability and poor controllability. Also they possess a number of disadvantages typical for airships: large size and, as a consequence, high windage and dependence on weather conditions; low maneuverability and, as a consequence, the difficulty of landing. These negative aspects of all circu

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Jaczewska, Paulina, Hubert Sybilski, and Marlena Tywonek. "Assessment of the Solar Potential of Buildings Based on Photogrammetric Data." Energies 18, no. 4 (2025): 868. https://doi.org/10.3390/en18040868.

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In recent years, a growing demand for alternative energy sources, including solar energy, has been observed. This article presents a methodology for assessing the solar potential of buildings using images from Unmanned Aerial Vehicles (UAVs) and point clouds from airborne LIDAR. The proposed method includes the following stages: DSM generation, extraction of building footprints, determination of roof parameters, map solar energy generation, removing of the areas that are not suitable for the installation solar systems, calculation of power per each building, conversion of solar irradiance into

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Hong, Yue. "Application of wireless charging in UAV line patrol." Applied and Computational Engineering 4, no. 1 (2023): 7–12. http://dx.doi.org/10.54254/2755-2721/4/20230337.

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With the development of the times, unmanned aerial vehicles (UAVs) are increasingly used in power systems, especially in power line patrol. At the same time, The charging method of UAV power patrol system has attracted more and more attention. Therefore, this paper analyzes the different ways of wireless charging of UAVs applied in power circuit system. It includes self-resonant ZVS topology, Double LCCL topology, LCL-LCL /S hybrid self-switching resonant wireless charging system and wireless charging method using solar energy. At the same time, the future development direction of UAV wireless

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Mohd Sakri, Fadhilah, and Nur Mawaddah Nora Sany. "Numerical Study of Heat Distribution of Triangular Cooling Ducts on Solar-Powered UAV Wing." Karya Journal of Aerospace and Avionics System 1, no. 1 (2025): 22–30. https://doi.org/10.37934/kjaas.1.1.2230.

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The performance of solar cells is significantly impacted by environmental factors, particularly temperature, which directly influences their voltage output. Higher temperatures lead to reduced voltage, thereby diminishing the efficiency of solar cells. This study investigates the thermal behavior of solar cells integrated into the wings of solar-powered unmanned aerial vehicles (UAVs) and proposes innovative cooling duct designs to enhance their efficiency. Using Clark Y airfoils, cooling duct models were designed and modeled in CATIA, followed by computational fluid dynamics (CFD) simulations

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Tian, Zijing, Zygmunt J. Haas, and Shatavari Shinde. "Routing in Solar-Powered UAV Delivery System." Drones 6, no. 10 (2022): 282. http://dx.doi.org/10.3390/drones6100282.

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As interest grows in unmanned aerial vehicle (UAV) systems, UAVs have been proposed to take on increasingly more tasks that were previously assigned to humans. One such task is the delivery of goods within urban cities using UAVs, which would otherwise be delivered by terrestrial means. However, the limited endurance of UAVs due to limited onboard energy storage makes it challenging to practically employ UAV technology for deliveries across long routes. Furthermore, the relatively high cost of building UAV charging stations prevents the dense deployment of charging facilities. Solar-powered UA

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Koc, A. Bulent, Patrick T. Anderson, John P. Chastain, and Christopher Post. "Estimating Rooftop Areas of Poultry Houses Using UAV and Satellite Images." Drones 4, no. 4 (2020): 76. http://dx.doi.org/10.3390/drones4040076.

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Poultry production requires electricity for optimal climate control throughout the year. Demand for electricity in poultry production peaks during summer months when solar irradiation is also high. Installing solar photovoltaic (PV) panels on the rooftops of poultry houses has potential for reducing the energy costs by reducing the electricity demand charges of utility companies. The objective of this research was to estimate the rooftop areas of poultry houses for possible PV installation using aerial images acquired with a commercially available low-cost unmanned aerial vehicle (UAV). Overhe

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Zhang, Kong, Vikram Pakrashi, Jimmy Murphy, and Guangbo Hao. "Inspection of Floating Offshore Wind Turbines Using Multi-Rotor Unmanned Aerial Vehicles: Literature Review and Trends." Sensors 24, no. 3 (2024): 911. http://dx.doi.org/10.3390/s24030911.

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Operations and maintenance (O&M) of floating offshore wind turbines (FOWTs) require regular inspection activities to predict, detect, and troubleshoot faults at high altitudes and in harsh environments such as strong winds, waves, and tides. Their costs typically account for more than 30% of the lifetime cost due to high labor costs and long downtime. Different inspection methods, including manual inspection, permanent sensors, climbing robots, remotely operated vehicles (ROVs), and unmanned aerial vehicles (UAVs), can be employed to fulfill O&M missions. The UAVs, as an enabling techn

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Jung, Sunghun. "Development and Verification of Hybrid Power Controller Using Indoor HIL Test for the Solar UAV." Energies 13, no. 8 (2020): 2110. http://dx.doi.org/10.3390/en13082110.

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A hybrid power system (HPS) is developed for the photovoltaic (PV) powered and tethered multirotor unmanned aerial vehicle (UAV) based on the robot operating system (ROS) and verified using an indoor hardware-in-the-loop (HIL) test. All the processes, including a UAV flight mode change (i.e., takeoff, hovering, and landing) and power flow control (consisting of PV modules, a LiPo battery pack, and a UAV) are completely automated using a combination of Pixhawk 2.1 and the Raspberry Pi 3 Model B (RPi 3B). Once the indoor HIL test starts, (1) the UAV takes off and hovers with a preassigned 10 m a

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Bocullo, Vytautas, Linas Martišauskas, Darius Pupeikis, Ramūnas Gatautis, Rytis Venčaitis, and Rimantas Bakas. "UAV Photogrammetry Application for Determining the Influence of Shading on Solar Photovoltaic Array Energy Efficiency." Energies 16, no. 3 (2023): 1292. http://dx.doi.org/10.3390/en16031292.

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The field of solar photovoltaic (PV) plants has seen significant growth in recent years, with an increasing number of installations being developed worldwide. However, despite advancements in technology and design, the impact of shading on the performance of PV plants remains an area of concern. Accurate 3D models produced using unmanned aerial vehicle (UAV) photogrammetry can provide aid to evaluate shading from nearby surroundings and to determine the potential of a site for electricity production via solar PV plants. The main objective of this paper is to address the problem of shadows sign

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Dinca, Liviu, Jenica-Ileana Corcau, and Daniel-Gabriel Voinea. "Solar UAVs—More Aerodynamic Efficiency or More Electrical Power?" Energies 16, no. 9 (2023): 3778. http://dx.doi.org/10.3390/en16093778.

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Solar UAVs (unmanned aerial vehicles) have experienced important development in recent years. The use of solar free energy is not neglected in the present energy crisis, with the intention to move toward green energies. However, an important problem arises concerning the limited amount of solar energy available on board UAVs. Until now, high-aerodynamic-efficiency configurations have been used. These configurations use high-aspect-ratio wings. However, high-aspect-ratio wings have some disadvantages regarding their excessive elasticity and weak bending resistance in the housing section. Additi

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Hwang, Hoyon, Jaeyoung Cha, and Jon Ahn. "Solar UAV design framework for a HALE flight." Aircraft Engineering and Aerospace Technology 91, no. 7 (2019): 927–37. http://dx.doi.org/10.1108/aeat-03-2017-0093.

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Purpose The purpose of this paper is to present the development of an optimal design framework for high altitude long endurance solar unmanned aerial vehicle. The proposed solar aircraft design framework provides a simple method to design solar aircraft for users of all levels of experience. Design/methodology/approach This design framework consists of algorithms and user interfaces for the design of experiments, optimization and mission analysis that includes aerodynamics, performance, solar energy, weight and flight distances. Findings The proposed sizing method produces the optimal solar ai

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Juarez-Lopez, Jose Manuel, Jesus Alejandro Franco, Quetzalcoatl Hernandez-Escobedo, David Muñoz-Rodríguez, and Alberto-Jesus Perea-Moreno. "Analysis of a Novel Proposal Using Temperature and Efficiency to Prevent Fires in Photovoltaic Energy Systems." Fire 6, no. 5 (2023): 196. http://dx.doi.org/10.3390/fire6050196.

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Fires in photovoltaic (PV) electrical systems are a real and serious problem because this phenomenon can have severe consequences for the safety of people and the environment. In some cases, fires result from a lack of maintenance or improper installation of PV modules. It is essential to consider prevention and continuous monitoring of the electrical parameters to minimize these risks, as these factors increase the temperature of the photovoltaic modules. The use of thermal analysis techniques can prevent hotspots and fires in photovoltaic systems; these techniques allow detecting and correct

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Belov, D. V. "Improving the design of micro-airship of an agricultural purpose." Agricultural Engineering, no. 1 (2025): 82–88. https://doi.org/10.26897/2687-1149-2025-1-82-88.

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The unmanned aerial vehicle is effective in monitoring cultivated areas, plant protection activities and animal observation. In contrast to other aircrafts, an unmanned micro-airship can perform a long flight with low energy consumption. The disadvantages of micro-airships include their bulky design, dependence of lift force on the engine operation modes, and small descent speed. The authors conducted research to improve the design of a micro-airship. The list of measures includes reducing the mass of the lift generation system, increasing the energy efficiency of the airship and the reliabili

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Pérez-González, Andrés, Álvaro Jaramillo-Duque, and Juan Bernardo Cano-Quintero. "Automatic Boundary Extraction for Photovoltaic Plants Using the Deep Learning U-Net Model." Applied Sciences 11, no. 14 (2021): 6524. http://dx.doi.org/10.3390/app11146524.

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Nowadays, the world is in a transition towards renewable energy solar being one of the most promising sources used today. However, Solar Photovoltaic (PV) systems present great challenges for their proper performance such as dirt and environmental conditions that may reduce the output energy of the PV plants. For this reason, inspection and periodic maintenance are essential to extend useful life. The use of unmanned aerial vehicles (UAV) for inspection and maintenance of PV plants favor a timely diagnosis. UAV path planning algorithm over a PV facility is required to better perform this task.

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Duan, Ran, and Zhenling Ma. "A method for detecting photovoltaic panel faults using a drone equipped with a multispectral camera." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-1-2024 (May 9, 2024): 59–65. http://dx.doi.org/10.5194/isprs-annals-x-1-2024-59-2024.

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Abstract. Photovoltaic power stations utilizing solar energy, have grown in scale, resulting in an increase in operational maintenance requirements. Efficient inspection of components within these stations is crucial. However, the large area of photovoltaic power generation, coupled with a substantial number of photovoltaic panels and complex geographical environments, renders manual inspection methods highly inefficient and inadequate for modern photovoltaic power stations. To address this issue, this paper proposes a method and system for hot spot detection on photovoltaic panels using unman

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Dewanto, B. G., D. Novitasari, Y. C. Tan, D. D. Puruhito, Z. A. Fikriyadi, and F. Aliyah. "Application of Web 3D GIS to Display Urban Model and Solar Energy Analysis using The Unmanned Aerial Vehicle (UAV) Data (Case Study: National Cheng Kung University Buildings)." IOP Conference Series: Earth and Environmental Science 520 (June 20, 2020): 012017. http://dx.doi.org/10.1088/1755-1315/520/1/012017.

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Naeem, Umair, Ken Chadda, Sara Vahaji, Jawad Ahmad, Xiaodong Li, and Ehsan Asadi. "Aerial Imaging-Based Soiling Detection System for Solar Photovoltaic Panel Cleanliness Inspection." Sensors 25, no. 3 (2025): 738. https://doi.org/10.3390/s25030738.

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Unmanned Aerial Vehicles (UAVs) integrated with lightweight visual cameras hold significant promise in renewable energy asset inspection and monitoring. This study presents an AI-assisted soiling detection methodology for inspecting solar photovoltaic (PV) panels, using UAV-captured RGB images. The proposed scheme introduces an autonomous end-to-end soiling detection model for common types of soiling in solar panel installations, including bird droppings and dust. Detecting soiling, particularly bird droppings, is critical due to their pronounced negative impact on power generation, primarily

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Bash, Eleanor A., and Brian J. Moorman. "Surface melt and the importance of water flow – an analysis based on high-resolution unmanned aerial vehicle (UAV) data for an Arctic glacier." Cryosphere 14, no. 2 (2020): 549–63. http://dx.doi.org/10.5194/tc-14-549-2020.

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Abstract. Models of glacier surface melt are commonly used in studies of glacier mass balance and runoff; however, with limited data available, most models are validated based on ablation stakes and data from automatic weather stations (AWSs). The technological advances of unmanned aerial vehicles (UAVs) and structure from motion (SfM) have made it possible to measure glacier surface melt in detail over larger portions of a glacier. In this study, we use melt measured using SfM processing of UAV imagery to assess the performance of an energy balance (EB) and enhanced temperature index (ETI) me

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