华电技术 ›› 2019, Vol. 41 ›› Issue (8): 11-14.

• 专题综述 • 上一篇    下一篇

燃气轮机进气过滤系统滤网更换周期优化模型研究

  

  1. 华电电力科学研究院有限公司,杭州〓310030

  • 出版日期:2019-08-26 发布日期:2019-09-06

Research on update interval optimization model of gas turbine inlet filtration system

  1. Huadian Electric Power Research Institute Company Limited, Hangzhou 310030, China

  • Online:2019-08-26 Published:2019-09-06

摘要:

作为拦截空气中污染颗粒的屏障,进气系统对燃气轮机运行的安全性和经济性意义重大。随着运行时间的增加,进气压损逐渐升高,从经济性方面对进气过滤系统的更换周期进行研究具有现实意义。探讨了多级过滤系统更换成本需要考虑的主要因素及计算方法,以单位发电量的滤网更换成本最小化为目标,提出了多级进气过滤系统更换周期的优化模型。对某燃气轮机进气系统的粗滤和精滤更换周期进行优化,单位发电量的滤网更换成本比优化前减少了1.2%。此外还探讨了天然气价格和滤网初始成本对多级过滤系统最佳更换周期及单位发电量滤网更换成本的影响,可为多级进气过滤系统更换周期的决策提供参考。

关键词:

font-size: 10.5pt, mso-spacerun: 'yes', mso-font-kerning: 1.0000pt">燃气轮机;进气过滤系统;粗滤;精滤;最佳更换周期;优化模型;天然气价格;滤网成本

Abstract:

As a shield to block harmful particles,air inlet system plays an important role in safe and economic operation of gas turbine.With increment of operating time, the pressure loss of inlet system increases.Researching update interval of the inlet filtration system from the economy is of realistic importance.Major factors and computing method for the replacement cost of multistage filtration system are discussed,and an optimization model for the update interval of multistage inlet filtration system is proposed on the purpose of minimizing the replacement cost per unit of power generation.Update intervals for coarse filters and fine filters of a gas turbine inlet system are optimized,and the result shows that the filter replacement cost per unit of power generation is 1.2% lower.Finally,effects of gas price and initial cost of filtration system on the optimal update interval of multistage filtration system and replacement cost per unit of power generation are discussed,which are significant for deciding the inlet filtration update interval.

Key words:

font-size: 10.5pt, mso-spacerun: 'yes', mso-font-kerning: 1.0000pt">gas turbine, inlet filtration system, coarse filters, fine filters, optimal update interval, optimization model, gas price, cost of filter