中国电力 ›› 2018, Vol. 51 ›› Issue (9): 15-19.DOI: 10.11930/j.issn.1004-9649.201704107

• 配煤掺烧专栏 • 上一篇    下一篇

火力发电厂配煤掺烧的燃煤成本模型

李金晶1, 焦开明2, 赵振宁1, 张清峰1, 孙永春2   

  1. 1. 华北电力科学研究院有限责任公司, 北京 100045;
    2. 内蒙古大唐国际托克托发电有限责任公司, 内蒙古 呼和浩特 010206
  • 收稿日期:2017-04-24 修回日期:2018-03-05 出版日期:2018-09-05 发布日期:2018-09-20
  • 作者简介:李金晶(1983-),男,高级工程师,从事电站锅炉试验科学与技术研究,E-mail:Liau@139.com
  • 基金资助:
    国家质检总局科技计划项目(2017QK178)。

Model of Coal Cost for Blending Coal Combustion in Thermal Power Plant

LI Jinjing1, JIAO Kaiming2, ZHAO Zhenning1, ZHANG Qingfeng1, SUN Yongchun2   

  1. 1. North China Electric Power Research Institute Co., Ltd., Beijing 100045, China;
    2. Inner Mongolia Datang International Tuoketuo Power Generation Co., Ltd., Hohhot 010206, China
  • Received:2017-04-24 Revised:2018-03-05 Online:2018-09-05 Published:2018-09-20
  • Supported by:
    This work is supported by AQSIQ Technology Project (No.2017QK178).

摘要: 燃煤成本是火力发电厂最主要的运行成本。为综合反映机组能效和煤炭市场价格对燃煤成本的影响,提出了入炉煤标单价差临界值的概念。从燃煤成本最低的原则出发,建立了入炉煤标单价差临界值的具体计算模型,可以基于燃煤差价判断配煤掺烧是否能够降低燃煤成本,并直接从燃煤差价出发优选掺烧比。该模型有助于避免“只要掺烧便宜煤就能降低燃煤成本”和“便宜煤掺得越多,经济效益越大”的认识误区,适用于辅助火力发电厂燃煤采购决策和配煤技术管理。

关键词: 火力发电厂, 配煤掺烧, 燃煤成本, 入炉煤标单价差, 数学模型, 燃料管理

Abstract: Coal cost is the largest part of thermal power plant running cost. A model of critical values of standard coal as fired price deviation (CVSCPD) is built, according to the coal cost minimization principle. This model comprehensively expresses how the unit power efficiency and coal prices influence coal cost. Two questions are answered by CVSCPD respectively, whether blending coal is effective to save coal cost, and which blending rate is the best. It helps to correct two mistakes of coal blending in commonsense. One mistake is that blending cheaper coal always helps reducing coal cost. The other is that the more we blend cheaper coal, the more we earn. It is quite applicable to the decision making of coal purchase and the process management of coal blending.

Key words: thermal power plant, blending coal combustion, coal cost, standard coal as fired price deviation, mathematic model, fuel management

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