Special Issue "Autonomous Monitoring and Analysis of Photovoltaic Systems"
Deadline for manuscript submissions: 1 March 2021.
Interests: photovoltaics; PV monitoring; failure diagnosis and analysis; LSC PV; reliability; big data Analysis (BDA); unmanned aerial vehicle (UAV)
The installation of utility-scale photovoltaic (PV) systems is dramatically increasing and a huge amount of data are generated through PV systems. The large PV systems are creating challenges in terms of monitoring the performance and diagnosing failures during the operation of various systems.
PV system monitoring is essential to assure a energy performance and the long-term reliability of PV systems. Conventionally, monitoring systems collect required data from PV systems and transmit the data to a control center where an expert evaluates the data and assesses the functional quality of PV systems by considering several performance indicators. Therefore, a suitable monitoring method should efficiently, quickly and precisely detect the malfunctions and faults in PV systems. Early failure detection plays a significant role in optimizing PV systems' performance during their operation. The rapid recognition of failures in PV components increases the reliability and durability of PV systems.
Currently, the increasing number of PV installations as well as produced volumes of data collected from energy meters and sensors highlight the importance of developing new monitoring technologies and procedures that can handle such large volumes of systems and data. Existing technology and techniques for controlling PV systems have not yet been centralized and monitoring and analysis procedures are performed in several separate steps. This can be achieved more efficiently and intelligently.
Autonomous monitoring and analysis is a novel concept for integrating various techniques, devices, systems, and platforms to enhance the accuracy of PV monitoring, thereby improving the performance, reliability, and service life of PV systems.
The aim of this Special Issue is to collect scientific manuscripts on the practical aspects and simulation models associated with autonomous monitoring and analysis of PV systems. The key focus is to describe the emerging developments and advances in order to mitigate the challenges for automating the PV monitoring procedure in upcoming years. The topics may include, but are not limited to, the following:
- Autonomous monitoring systems
- Big data analytics (BDA) techniques for PV monitoring
- Big data transmission and storage methods
- Automatic failure detection and classification
- Internet of Things (IoT) applications in PV monitoring
- Unmanned aerial vehicle (UAV) applications in PV monitoring
- Smart and predictive monitoring
- Service life prediction
- Performance and reliability evaluation
Dr. Mohammadreza Aghaei
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Photovoltaic (PV)
- Autonomous monitoring and analysis
- Big data analysis (BDA)
- Failure diagnosis and analysis
- Unmanned aerial vehicle (UAV)
- Internet of Things (IoT)
- Reliability evaluation