Climate Change and Sustainability: Intelligent Operation and Maintenance of New Energy Systems
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 3649
Special Issue Editors
Interests: concentrated solar thermal power; forecast of solar plant; daylighting
Special Issues, Collections and Topics in MDPI journals
Interests: sustainability; renewable energy; waste to energy; surface engineering materials; energy equipment
Special Issue Information
Dear Colleagues,
With the advent of an era of large-scale penetration of new energy, the intelligent operation and maintenance of new energy systems, including solar, wind, biomass, and energy storage systems, is crucial and can result in significant benefits. This Special Issue aims to explore the methods and technologies underpinning the intelligent operation and maintenance of new energy systems, including performance evaluation, fault diagnosis, accident alarms, life extension, and recycling, so as to improve energy utilization and the revenue generated by power plants.
Intelligent operation and maintenance is the key to realizing the unattended or less manpower-intensive operation and maintenance and the long life of new energy systems, and is crucial for a new generation of power systems dominated by new energy. We believe that through cooperation and sharing we can jointly address the challenges of the new energy sector and provide more sustainable energy solutions on a global scale. Therefore, we are launching this Special Issue to bring together the wisdom and experience of scholars from across various fields to explore the cutting-edge research results in the field of intelligent operation and maintenance of new energy systems, and contribute to the green and low-carbon development of the energy sector.
Prof. Dr. Jifeng Song
Prof. Dr. Zuopeng Qu
Guest Editors
Manuscript Submission Information
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Keywords
- new energy systems
- solar energy
- intelligent operation and maintenance
- forecasting and prediction technology
- energy economics
- data analysis
- energy storage systems
- integrated energy systems
- energy policy
- fault diagnosis
- biomass
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