Challenges and Research Trends of Integrated Zero-Carbon Power Plant
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".
Deadline for manuscript submissions: 25 September 2025 | Viewed by 60
Special Issue Editors
Interests: power market; power system optimization; energy blockchain
Special Issue Information
Dear Colleagues,
The global transition to sustainable energy systems has intensified the demand for integrated zero-carbon power plants, which aim to provide reliable energy while minimizing their environmental impact. This Special Issue, titled "Challenges and Research Trends of Integrated Zero-Carbon Power Plant", invites contributions that explore the technological, economic, and operational aspects of developing and implementing such power plants and supply systems. The focus is on research that addresses the integration of renewable energy sources, energy storage systems, smart grid, and demand-side technologies to achieve efficient and reliable zero-carbon energy production and distribution.
This Special Issue aims to serve as a comprehensive resource for academics, engineers, and policymakers working towards the development of integrated zero-carbon power systems. It will provide insights into current challenges, emerging trends, and innovative solutions that can accelerate the global shift towards sustainable energy production.
Scope and Themes
- Renewable Energy Integration: Advanced methods for harmonizing intermittent renewables (e.g., solar, wind) using grid stability, including hybrid energy storage systems and demand-side management.
- Carbon Capture and Utilization (CCUS): Novel materials, processes, and system-level strategies for integrating CCUS into power plants.
- Smart Grid and Digitalization: Advanced smart grid technologies, such as AI-driven optimization, IoT-enabled monitoring, and blockchain applications, for energy trading and transparency.
- Industrial Energy Efficiency and Demand Responses: Innovations in industrial and commercial load management and demand responses to reduce carbon footprints, especially in energy-intensive sectors.
- AI-Driven Innovations in Energy Systems: The application of artificial intelligence (AI) for predictive maintenance, energy forecasting, load disaggregation, and system optimization. Techniques such as deep learning, reinforcement learning, and LLM are of particular interest.
Dr. Sijie Chen
Dr. Ran Li
Guest Editors
Manuscript Submission Information
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Keywords
- renewable energy integration
- carbon capture and utilization (CCUS)
- smart grid and digitalization
- industrial energy efficiency and demand responses
- AI-driven innovations in energy systems
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