Special Issue "Maintenance Management in Solar Energy Systems"
Deadline for manuscript submissions: 1 March 2021.
Interests: operations research; management science; maintenance; renewable energy; artifical intelligence
Special Issues and Collections in MDPI journals
The energy industry is employing new reliable and efficient renewable energy sources because of government and environment restrictions. The amount of renewable energies available around the world is growing so fast, it is anticipated that their contribution to global energy will be more than 20% in the next few years.
Solar energy is one of the most renewable energies used today but, despite the technical and economic advantages of concentrated solar energy, this industry needs development and improvement of the technologies employed, better maintenance policies, to increase efficiency and sustainability, create a better energy distribution, etc., to reach competitive levels.
Maintenance is a critical variable in the industry when it comes to reaching competitiveness—in fact, together with operations, it is the most important factor in the energy industry. Therefore, a correct management of the corrective, predictive, and preventive politics in any energy industry is required. Maintenance management considers the main concepts, state-of-the-art, advances, and case studies in this topic.
This issue will consider original research works that share content complementary to other subdisciplines, such as economics, finance, marketing, decision and risk analysis, engineering, etc., in maintenance management.
The issue will show also real case studies, with the main topics being failures detection and diagnosis, fault trees, and subdisciplines (e.g., FMECA, FMEA). It is essential to link these topics with finance, scheduling, resources, downtimes, etc. in order to increase productivity, profitability, maintainability, reliability, safety, availability, and reduce costs, downtimes, etc. in the energy industry.
Advances in mathematics, models, computational techniques, dynamic analysis, etc. are employed in maintenance management and are particularly important for this issue.
Finally, we will also consider computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques that are expertly blended to support analysis of multicriteria decision-making problems with defined constraints and requirements.
Prof. Dr. Fausto Pedro García Márquez
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 1800 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.
- predictive maintenance
- preventive maintenance
- corrective maintenance
- strategy on maintenance
- maintenance planning
- resource management
- organization management
- condition monitoring
- maintenance software
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Autonomous systems real-time monitoring and satellite mission analysis tool
Authors: Sittiporn Channumsin; Suwat Sreesawet; Siriphat Romyen; Keerati Puttasuwan; Seksan Jaturut
Affiliation: Geo-Informatics and Space Technology Development Agency (GISTDA), Bangkok 10210, Thailand
Abstract: This paper presents the methodology and architecture design of the autonomous systems for the real-time mission monitoring and analysis tool to enhance the capability of flight dynamics software as known “EMERALD” developed by Geo-Informatics and Space Technology Development Agency (GISTDA) to support Thaichote mission (Earth observation satellite) and future large constellations. This tool would allow users to monitor the satellite’s current position and mission operation and increase the effectiveness of mission control. The tool provides eight key features: real-time satellite tracking (ground track and 3D orbit), mission control, GPS downlink status, propellant remaining, orbit maintenance and ground track control, spacecraft collision warning, solar eclipse and operational status. The well-designed graphical user interface (GUI) is developed to fit and simplify the information for users to access easily. In addition, the main advantage of this tool is a fully autonomous process to retrieve data (e.g. GPS, conjunction data message (CDM) and other essential data of mission operation) and notify real-time mission critical events to users. The tool results in high operational performance and effective maintenance cost. Currently, this tool is integrated with the satellite ground control to support the current and future satellites of GISTDA.
Title: Maintenance Management based on Unmanned Aerial Vehicle Optimal Positioning, Infrared Sensors and Internet of Things
Authors: Isaac Segovia Ramírez; Jesús Parra Chaparro; Fausto Pedro García Márquez; Amjad Anvari-Moghaddam
Affiliation: 1 University of Castilla-La Mancha, Spain 2 Aalborg University, Denmark
Abstract: Photovoltaic solar energy is a fast-growing renewable energy that needs reliable monitoring systems to ensure the productivity of solar plants. The use of unmanned aerial vehicles in photovoltaic maintenance management is increasing due the advantages regarding to the traditional methods. This paper presents a novel condition monitoring system for photovoltaic panels composed by radiometric sensor embedded in an unmanned aerial vehicle, Internet of Things platform for data analysis and an advanced positioning system to increase the accuracy of the results. This paper also presents a novel contribution in the field of view analysis regarding on the measurement conditions and the increment of unmanned aerial vehicle positioning reliability by a real-time kinetic navigation system. Several scenarios are designed for testing the reliability and suitability of the system. The results provide significant improvements in the positioning, minimizing the errors and increasing the accuracy of the inspection, avoiding the analysis of areas outside the panels.