Challenges and Research Trends of Integrated Zero-Carbon Power Plant

Topic 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 environmental impact. This Topic, 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 grids, and demand-side technologies to achieve efficient and reliable zero-carbon energy production and distribution.

This Topic 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 and 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 response to reduce carbon footprints, especially in energy-intensive sectors.

AI-Driven Innovations in Energy Systems: Applications of artificial intelligence (AI) for predictive maintenance, energy forecasting, load disaggregation, and system optimization. Techniques such as deep learning, reinforcement learning, and LLMs are of particular interest.

Prof. Dr. Sijie Chen
Dr. Ran Li
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.5	5.5	2011	16 Days	CHF 2400	Submit
Clean Technologies cleantechnol	4.7	8.3	2019	20 Days	CHF 1800	Submit
Energies energies	3.2	7.3	2008	16.8 Days	CHF 2600	Submit
Processes processes	2.8	5.5	2013	14.9 Days	CHF 2400	Submit
Sci sci	-	5.2	2019	26.7 Days	CHF 1400	Submit
Sustainability sustainability	3.3	7.7	2009	17.9 Days	CHF 2400	Submit

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