Industrial Multi-Energy and Production Management Scheme in Cyber-Physical Environments: A Case Study in a Battery Manufacturing Plant

Pei, Wei; Ma, Xin; Deng, Wei; Chen, Xinhe; Sun, Hongjian; Li, Dan

doi:10.1049/iet-cps.2018.5029

Industrial Multi-Energy and Production Management Scheme in Cyber-Physical Environments: A Case Study in a Battery Manufacturing Plant

Pei, Wei; Ma, Xin; Deng, Wei; Chen, Xinhe; Sun, Hongjian; Li, Dan

Authors

Wei Pei

Xin Ma

Wei Deng

Xinhe Chen

Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor

Dan Li

Abstract

Among the various electricity consumer sectors, the consumption level of the industrial sector is often considered as the largest portion of electricity consumption, highlighting the urgent need to implement demand response (DR) energy management. However, implementation of DR for the industrial sector requires a more sophisticated and different scheme compared to the residential and commercial sector. This study explores all the elastic segments of plant multi-energy production, conversion, and consumption. We then construct a real-time industrial facilities management problem as an optimal dispatch model to enclose these elastic segments and production constraints in cyber-physical environments. Moreover, a model predictive-based centralised dispatch scheme is proposed to address the uncertainties of real-time price and renewable energy forecasting while considering the sequence of the production process. Numerical results demonstrate that the proposed scheme can enhance energy efficiency and economics of lithium battery manufacturing plant through responding to the real-time price whilst ensuring the completion of production tasks.

Citation

Pei, W., Ma, X., Deng, W., Chen, X., Sun, H., & Li, D. (2019). Industrial Multi-Energy and Production Management Scheme in Cyber-Physical Environments: A Case Study in a Battery Manufacturing Plant. IET Cyber-Physical Systems: Theory & Applications, 4(1), 13-21. https://doi.org/10.1049/iet-cps.2018.5029

Journal Article Type	Article
Acceptance Date	Sep 27, 2018
Online Publication Date	Oct 3, 2018
Publication Date	Mar 31, 2019
Deposit Date	Sep 27, 2018
Publicly Available Date	Nov 7, 2018
Journal	IET Cyber-Physical Systems: Theory & Applications
Publisher	Wiley Open Access
Peer Reviewed	Peer Reviewed
Volume	4
Issue	1
Pages	13-21
DOI	https://doi.org/10.1049/iet-cps.2018.5029

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Advance online version This is an open access article published by the IET under the Creative Commons Attribution -NonCommercial License
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