A Review on Data-Driven Modelling and Data Rectification for Steam Pipe Networks in Iron& Steel Enterprises

DOI

10.2991/iceesd-18.2018.34How to use a DOI?

Keywords

data driven modelling, fault detection, data rectification, steam pipe network, iron&steel enterprises.

Abstract

Steam pipe network is important facility in the iron& steel enterprises to recycling the waste heat energy and reduce the comprehensive energy consumption. In this paper, we analyze the necessity of data-driven modelling and data reconciliation for the schedule and operation of steam system through EMS. The related technologies, including the steam pipe network modelling, fault data detection, process monitoring, and data rectification are reviewed in detail. We also investigate the current application condition of data rectification in industry and present the potentials and the problems for the application in steam pipe networks. The probable solutions for different problems and research directions are suggested for practical application at the end.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xianxi Luo
AU  - Wei Wang
AU  - Hongwei Deng
AU  - Zehao Wu
PY  - 2018/05
DA  - 2018/05
TI  - A Review on Data-Driven Modelling and Data Rectification for Steam Pipe Networks in Iron& Steel Enterprises
BT  - Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
PB  - Atlantis Press
SP  - 204
EP  - 210
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-18.2018.34
DO  - 10.2991/iceesd-18.2018.34
ID  - Luo2018/05
ER  -