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  • 标题:Prediction of pulsed heat loads in manufacturing plants
  • 本地全文:下载
  • 作者:Florian Fuhrmann ; Alexander Schirrer ; Martin Kozek
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:10449-10454
  • DOI:10.1016/j.ifacol.2020.12.2787
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractPredictive control is beneficial for effective energy demand management. Precise disturbance prediction is a decisive factor for the performance of predictive control. This paper focuses on the accurate prediction of pulsed heat loads caused by heat treatment in manufacturing industry processes. An application-oriented method to predict heat load peaks is developed utilizing basic laws of thermodynamics, validated with process data from an industrial use case, and tested with a model predictive controller. Two core characteristics of the method enable a straightforward application in industry: 1. Historic data from few measurement points are sufficient. 2. Robustness against measurement noise.
  • 关键词:KeywordsManufacturing plant controlIdentificationvalidationDisturbance predictionEnergy demand managementIndustrial applicationModel predictive control
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