Industrial multi‐energy and production management scheme in cyber‐physical environments: a case study in a battery manufacturing plant. Issue 1 (2nd November 2018)

• Record Type: Journal Article
• Authors: Pei, Wei; Ma, Xin; Deng, Wei; Chen, Xinhe; Sun, Hongjian; Li, Dan
• Is Part Of: IET cyber-physical systems. Volume 4:Issue 1(2019)
• Page Start: 13
• Page End: 21
• Publication Date: 2018-11-02
• Subjects: power consumption -- power generation dispatch -- production management -- energy conservation -- pricing -- renewable energy sources -- energy management systems; real‐time industrial facilities management problem -- optimal dispatch model -- elastic segments -- production constraints -- cyber‐physical environments -- centralised dispatch scheme -- real‐time price -- renewable energy forecasting -- production process -- energy efficiency -- lithium battery manufacturing plant -- production tasks -- industrial multienergy -- production management scheme -- case study -- electricity consumer sectors -- consumption level -- industrial sector -- largest portion -- electricity consumption -- demand response energy management -- sophisticated scheme -- different scheme -- residential sector -- commercial sector -- plant multienergy production
• DOI: 10.1049/iet-cps.2018.5029
• Languages: English
• ISSNs: 2398-3396

Abstract

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.