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Construction and Application of Energy Footprint Model for Digital Twin Workshop Oriented to Low-Carbon Operation

Authors :
Lei Zhang
Cunbo Zhuang
Ying Tian
Mengqi Yao
Source :
Sensors, Vol 24, Iss 11, p 3670 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

To address the difficulty of accurately characterizing the fluctuations in equipment energy consumption and the dynamic evolution of whole energy consumption in low-carbon workshops, a low-carbon-operation-oriented construction method of the energy footprint model (EFM) for a digital twin workshop (DTW) is proposed. With a focus on considering the fluctuations in equipment energy consumption and the correlation between multiple pieces of equipment at the workshop production process level (CBMEatWPPL), the EFM of a DTW is obtained to characterize the dynamic evolution of whole energy consumption in the workshop. Taking a production unit as a case, on the one hand, an EFM of the production unit is constructed, which achieved the characterization and visualization of the fluctuations in equipment energy consumption and the dynamic evolution of whole energy consumption in the production unit; on the other hand, based on the EFM, an objective function of workshop energy consumption is established, which is combined with the tool life, robot motion stability, and production time to formulate a multi-objective optimization function. The bee colony algorithm is adopted to solve the multi-objective optimization function, achieving collaborative optimization of cross-equipment process parameters and effectively reducing energy consumption in the production unit. The effectiveness of the proposed method and constructed EFM is demonstrated from the above two aspects.

Details

Language :
English
ISSN :
24113670 and 14248220
Volume :
24
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.44d6cf44ab134cb8aab7bd1e2144a5f5
Document Type :
article
Full Text :
https://doi.org/10.3390/s24113670