PAMAMETER OPTIMIZATION FOR A WASTE HEAT POWER GENERATION SYSTEM WITH DUAL PRESSURE CEMENT KILN BASED ON GENETIC ALGORITHM

XU Xiao-hui1; HUANG Jin-tao1; PENG Yan2; HAO Jing-zhou21.Xi'an Jiaotong University

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PAMAMETER OPTIMIZATION FOR A WASTE HEAT POWER GENERATION SYSTEM WITH DUAL PRESSURE CEMENT KILN BASED ON GENETIC ALGORITHM

Thermal Power Generation Vol. 38, Issue 11, Pages: 35-38(2009)

更新时间：2025-09-28

- PAMAMETER OPTIMIZATION FOR A WASTE HEAT POWER GENERATION SYSTEM WITH DUAL PRESSURE CEMENT KILN BASED ON GENETIC ALGORITHM
- 作者机构：
  
  1. 西安交通大学能源与动力工程学院
  2. 中信重工机械股份有限公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM617
- Published：2009
- 稿件说明：
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XU Xiao-hui1, HUANG Jin-tao1, PENG Yan2, et al. PAMAMETER OPTIMIZATION FOR A WASTE HEAT POWER GENERATION SYSTEM WITH DUAL PRESSURE CEMENT KILN BASED ON GENETIC ALGORITHM[J]. Thermal Power Generation, 2009, 38(11): 35-38.
DOI：

XU Xiao-hui1, HUANG Jin-tao1, PENG Yan2, et al. PAMAMETER OPTIMIZATION FOR A WASTE HEAT POWER GENERATION SYSTEM WITH DUAL PRESSURE CEMENT KILN BASED ON GENETIC ALGORITHM[J]. Thermal Power Generation, 2009, 38(11): 35-38. DOI：

摘要

基于能量平衡和物质平衡得出了水泥窑双压余热发电系统的数学模型

并根据此模型采用遗传算法对双压余热发电系统的多个非线性热力参数进行了优化。对我国5 000~5 500 t/d水泥窑余热发电系统各热力参数最优化配置及各个优化参数值与设计参数进行了对比

表明在给定的水泥窑废气参数经过优化后计算的发电功率可达10.38MW

比根据设计参数计算得到的发电功率有较大的提高。

Abstract

The mathematic model of a waste heat power generation system with dual-pressure cement kiln has been established on the basis of energy balance and substance balance

and several nonlinear thermo-dynamic parameters of said generation system being optimized by using the genetic algorithm.The optimal allocation of every optimized thermodynamic parameter in the waste heat power generation system with a 5 000~5 500 t/d cement kiln in china as well as concrete value of each optimized parameter has compared with the designed ones.Results show that the power output calculated after optimization under condition of given parameters of waste gas from the cement kiln can reach(10.38) MW

being greatly enhanced than that calculated according to the designed parameters.

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