Authors: Chen Peng, Tao Peng, Yang Liu, Martin Geissdoerfer, Steve Evans, Renzhong Tang.
Publication date: 2021

The industrial internet of things provides opportunities to acquire refined energy consumption information in its data-rich environment but also poses a range of difficulties in implementation. The existing sensors cannot directly obtain the energy consumption at the granularity of a specific job. This study proposes a supply-side energy modelling method based on existing industrial internet of things devices for energy-intensive production systems to acquire that refined energy consumption information.