Life prediction for SCR flue gas denitrification catalyst  in coal-fired power plants

FU Yu; LU Qiang; ZHUANG Ke; WANG Qi; LI Hui; DONG Changqing

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Life prediction for SCR flue gas denitrification catalyst in coal-fired power plants

更新时间：2025-09-28

- Life prediction for SCR flue gas denitrification catalyst in coal-fired power plants
- Thermal Power Generation Issue 6, (2017)
- 作者机构：
  
  1. 华北电力大学生物质发电成套设备国家工程实验室,北京,102206
  2. 国电环境环保研究院,江苏,南京,210031
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM621
- Published Online：30 June 2017，
  
  Published：2017
- 稿件说明：
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FU Yu, LU Qiang, ZHUANG Ke, et al. Life prediction for SCR flue gas denitrification catalyst in coal-fired power plants[J]. Thermal power generation, 2017, (6).
DOI：

FU Yu, LU Qiang, ZHUANG Ke, et al. Life prediction for SCR flue gas denitrification catalyst in coal-fired power plants[J]. Thermal power generation, 2017, (6). DOI：

摘要

对在役选择性催化还原（SCR）烟气脱硝系统催化剂的健康状况和剩余寿命进行预测，成为燃煤电厂科学维护和安全使用烟气脱硝系统的迫切需要。针对催化剂活性与服役时间的样本数据具有灰色的特点，本文基于在电厂服役催化剂的实测数据，建立了灰色预测模型和多种曲线拟合模型，并按照数据是否等时距分类，对催化剂的相对活性进行预测。结果表明：当催化剂活性测量数据满足等时距要求时，采用GM(1

1)模型预测效果较好，模型精度较高；当不满足等时距测量要求时，采用二阶多项式模型预测效果较好。利用该方法对催化剂寿命进行预测结果较为准确，可为燃煤电厂SCR脱硝催化剂的寿命管理提供依据。

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