火力发电技术创新与能效提升研究

杨玉康

现代工业与技术 ›› 2024, Vol. 1 ›› Issue (4) : 32 -34.

PDF (837KB)
现代工业与技术 ›› 2024, Vol. 1 ›› Issue (4) : 32 -34. DOI: 10.12349/mit.v1i4.4554

火力发电技术创新与能效提升研究

作者信息 +

Research on Innovation of Thermal Power Generation Technology and Energy Efficiency Improvement

Author information +
文章历史 +
PDF (856K)

摘要

本文概述了火力发电技术的全球发展概况,指出其作为传统能源转换方式的重要性及面临的挑战。随后,深入分析了新型燃烧技术、高效节能设备与智能化控制等创新领域,如超临界燃烧技术和富氧循环燃烧技术的应用。在能效提升方面,论文提出了能耗评估、系统优化与节能改造、运行管理监控等关键措施。通过实证研究,总结了技术创新与能效提升的成果,为火力发电行业的绿色转型和可持续发展提供了理论依据与实践指导。新能源技术的不断突破,使得火力发电在成本和市场方面面临更大的竞争压力。

Abstract

This article provides an overview of the global development of thermal power generation technology, highlighting its importance as a traditional energy conversion method and the challenges it faces. Subsequently, in-depth analysis was conducted on innovative fields such as new combustion technologies, high-efficiency energy-saving equipment, and intelligent control, such as the application of supercritical combustion technology and oxygen enriched cycle combustion technology. In terms of energy efficiency improvement, the paper proposes key measures such as energy consumption assessment, system optimization and energy-saving transformation, and operation management monitoring. Through empirical research, the achievements of technological innovation and energy efficiency improvement have been summarized, providing theoretical basis and practical guidance for the green transformation and sustainable development of the thermal power generation industry. The continuous breakthroughs in new energy technologies have put greater competitive pressure on thermal power generation in terms of cost and market.

关键词

火力发电技术 / 创新 / 能效提升 / 可持续发展

Key words

thermal power generation technology / Innovation / Energy efficiency improvement / sustainable development

引用本文

引用格式 ▾
杨玉康. 火力发电技术创新与能效提升研究[J]. 现代工业与技术, 2024, 1(4): 32-34 DOI:10.12349/mit.v1i4.4554

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

[1]

王新雷, 周云, 徐彤. 促进我国火电能效持续提升政策研究[J]. 节能技术, 2016, 34(1): 4.

[2]

王宇, 李琳娜, 王瑛, . 内蒙古火电行业能效水平分析及优化路径研究——基于SBM模型及GML指数模型的分析[J]. 内蒙古大学学报:自然科学版, 2023, 54(3): 310-321.

[3]

孟肖楠. 火力发电厂电气节能降耗技术研究[J]. 科技资讯, 2024, 22(2): 94-96.

AI Summary AI Mindmap
PDF (837KB)

0

访问

0

被引

详细

导航
相关文章

AI思维导图

/