Unmanned Aerial Vehicles for Energy Applications
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: closed (30 April 2020) | Viewed by 15604
Special Issue Editor
Interests: energy forecasting; PV forecasting; evolutionary computation; energy-harvesting devices (EHDs); renewable systems; unmanned aerial vehicles (UAVs)
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Special Issue Information
Dear Colleagues,
Renewable energy sources’ contribution to power generation almost represents a valid alternative to limiting fossil fuel usage and pollution for the future. In the last two decades, many countries have widely invested in alternative energy sources to reduce emissions and politically promote so-called clean energy and we are facing a general transition scenario. Some countries, for example, have witnessed a too-rapid increase in their production rate from RES, especially solar and wind, with the complicity of a general market euphoria and, sometimes, generous public policies.
The quality of the installed components and subsystems has not always been guaranteed, especially because it was produced in a rapid time frame, and often with characteristics below the common standards, optimizing installation costs and underestimating a proper plant life cycle cost analysis. In some occasions, the race to install and meet public incentives has left many solar installations with a general lack of good maintenance strategies. In addition to this, advances in wind turbine blade design and materials and proper asset management actions often allow repowering strategies if advanced performance and control systems are available. Moreover, developing countries are implementing new energy plans for the next years to accelerate this energy transition towards more efficient systems.
Unmanned aerial vehicles (UAVs), also known as drones, have recently received much attention from the industry due to their ability to act as remote sensors for many applications, including 3D-mapping, construction monitoring, and data collection through heterogeneous sensors in general. A broad range of solutions are appearing in the market for different applications and services related to the acquisition of information, for example, in power plants, transmission lines, low-emission buildings or other energy systems and components.
Thus, to further spread the real opportunity offered by technologies and methods related to unmanned technologies in the energy sector, this Special Issue entitled “Unmanned Aerial Vehicles for Energy Applications” was proposed for the international journal Energies, which is an SSCI and SCIE journal (2015 IF = 2.072). This Special Issue mainly covers original research and studies related to the abovementioned topics, including but not limited to drone-based diagnosis methods, advanced O&M with unmanned technologies, predictive and reactive maintenance based on remote data, automatic inspection, and UAV-based control systems. Papers selected for this Special Issue are subject to a rigorous peer review procedure with the aim of rapid and wide dissemination of research results, developments, and applications.
I am writing to invite you to submit your original work to this Special Issue. The Special Issue welcomes contributions dealing with all facets of drones as mobile computing platforms in application in the energy sector, mainly related to renewable and traditional plants performance monitoring and control.
Prof. Dr. Grimaccia Francesco
Guest Editor
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Keywords
- UAV-based diagnosis, prognosis and forecasting methods for energy plant control
- Predictive and reactive maintenance based on remote sensors
- In-field diagnostic tools and algorithms
- Components aging mechanisms and defect detection by UAVs
- Reliability and effectiveness of novel algorithms based on multiple aerial sensors
- UAV-based automatic inspection and control for energy systems
- Advanced O&M with unmanned technologies
- Energy assets’ management through UAVs
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