Flexible peak shaving in coal-fired power plants: A comprehensive review of current challenges, recent advances, and future perspectives

IF 9 1区工程技术 Q1 ENERGY & FUELS

Energy Pub Date : 2025-05-08 DOI:10.1016/j.energy.2025.136446

Chunlei Wu , Chao Wang , Zongyu Hou , Zhe Wang

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Abstract

Grid stability amidst the global energy transition and the pursuit of carbon neutrality is critically dependent on enhancing the flexible peak-shaving capability of Coal-Fired Power Plants (CFPPs). This review highlights recent advances in improving CFPP flexibility and identifies key challenges, including equipment limitations, inadequate control adaptability, and escalating environmental and economic pressures. These factors contribute to operational instability, reduced efficiency, and increased emissions during rapid and deep load fluctuations. Hybrid modeling approaches, achieving high prediction accuracy across full operational processes and broad load ranges with an average error of 0.79 %, support precise peak shaving optimization. Technologies such as low-load stable combustion, heat-power decoupling, and energy storage integration have facilitated minimum loads of approximately 15 %, while advanced intelligent control systems, in coordination with energy storage, significantly accelerate response times, enabling rapid responses within seconds to minutes. Despite these advancements, challenges remain in system coordination, equipment dynamics, and investment feasibility. Future efforts should focus on the development of digital twin frameworks, multi-scale optimization techniques, and integrated techno-economic strategies to propel CFPPs toward cleaner, smarter, and more resilient operations.

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燃煤电厂的灵活调峰：当前挑战、最新进展和未来展望的综合回顾

在全球能源转型和追求碳中和的过程中，电网的稳定至关重要地依赖于提高燃煤电厂的灵活调峰能力。这篇综述强调了在提高CFPP灵活性方面的最新进展，并指出了主要挑战，包括设备限制、控制适应性不足以及不断升级的环境和经济压力。这些因素导致运行不稳定，效率降低，并在快速和深度负载波动期间增加排放。混合建模方法，在整个操作过程和宽负载范围内实现高预测精度，平均误差为0.79%，支持精确的调峰优化。低负荷稳定燃烧、热电解耦和储能集成等技术已将最低负荷提高了约15%，而先进的智能控制系统与储能相协调，显著加快了响应时间，可在几秒到几分钟内实现快速响应。尽管取得了这些进步，但在系统协调、设备动态和投资可行性方面仍然存在挑战。未来的工作重点应放在发展数字孪生框架、多尺度优化技术和综合技术经济战略上，以推动cfp向更清洁、更智能、更有弹性的运营方向发展。

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来源期刊

Energy 工程技术-能源与燃料

CiteScore

15.30

自引率

14.40%

发文量

审稿时长

14.2 weeks

期刊介绍： Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.