Guest Editor(s)
Assoc. Prof. Haoshui Yu
Email: haoshuiy@ntnu.no
Affiliation: Department of Energy and Process Engineering Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Research Interests: chemical process systems engineering, power-to-X, carbon capture, utilization and storage (CCUS), direct air capture (DAC), renewable energy system integration, industrial decarbonization, thermal cycles
Assoc. Prof. Nianci Lu
Email: lunianci@usst.edu.cn
Affiliation: School of Energy and Power Engineering, Shanghai University of Science and Technology, Shanghai, China
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Research Interests: renewable energy system integration, intelligent optimization of energy systems, and operational optimization of advanced energy systems
Dr. Xiang Yu
Email: yuxiang3667@imut.edu.cn
Affiliation: College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, China
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Research Interests: vapor-liquid two-phase flow, computational fluid dynamics (CFD), solar photovoltaic/thermal utilization, thermal engineering control systems
Summary
The large-scale integration of renewable energy imposes higher requirements on the operational flexibility of power generation systems. Investigating the dynamic characteristics and optimal control of advanced energy conversion and storage systems under complex operating conditions is essential for improving system flexibility, efficiency, reliability, and decarbonization.
This Special Issue aims to bring together the latest research advances in power generation and energy storage technologies and to promote the integration of energy conversion equipment, energy storage systems, and flexible power system operation. It focuses on the dynamic behavior of conventional and advanced power generation systems under wide-load-range, multi-mode, and rapid transient operating conditions, as well as the role of energy storage technologies in enhancing generation-side flexibility and facilitating renewable energy integration.
Suggested topics include, but are not limited to:
· Thermodynamic analysis and optimal design of advanced energy conversion and storage systems;
· Coordinated optimization of power generation and energy storage for renewable energy integration;
· Dynamic modeling and simulation of energy systems under wide-load-range and multi-mode operating conditions;
· Applications of advanced control and intelligent optimization methods in flexible power generation systems;
· Artificial intelligence, machine learning, and data-driven modeling and control of energy systems;
· Evaluation methods and key performance indicators for the flexibility of power generation and energy storage systems.
Keywords
advanced energy conversion, energy storage systems, flexible power generation, dynamic modeling and optimal control, renewable energy integration
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