Xuebei Zhang
Carbon Emission Analysis of Electrical Machines
Zhang, Xuebei; Xu, Zeyuan; Gerada, Chris; Gerada, David
Authors
Dr ZEYUAN XU ZEYUAN.XU@NOTTINGHAM.AC.UK
PRINCIPAL RESEARCH FELLOW
Professor CHRISTOPHER GERADA CHRIS.GERADA@NOTTINGHAM.AC.UK
PROFESSOR OF ELECTRICAL MACHINES
Professor DAVID GERADA D.Gerada@nottingham.ac.uk
PROFESSOR OF ELECTRICAL ENGINEERING
Abstract
The industry places increased importance on carbon reduction. Many are focused on lowering the fuel consumption of electrical machines, however, carbon emissions from the acquisition of raw materials and the energy consumption of manufacturing processes also contribute significantly. Therefore, a carbon emission analysis model is particularly necessary for electrical machines. This paper presents an evaluation method for the carbon emissions of the production of industrial synchronous generator. The results concluded can be used to reduce the carbon emission of electrical machines, material waste and energy consumption, moreover, identify a detailed investigation of the impact between raw material acquisition, manufacturing process planning and carbon emissions.
Citation
Zhang, X., Xu, Z., Gerada, C., & Gerada, D. (2021, October). Carbon Emission Analysis of Electrical Machines. Presented at 24th International Conference on Electrical Machines and Systems (ICEMS 2021), Gyeongju, Korea, Republic of
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | 24th International Conference on Electrical Machines and Systems (ICEMS 2021) |
Start Date | Oct 31, 2021 |
End Date | Nov 3, 2021 |
Acceptance Date | Jun 30, 2021 |
Online Publication Date | Dec 17, 2021 |
Publication Date | Dec 17, 2021 |
Deposit Date | Dec 22, 2021 |
Publicly Available Date | Mar 3, 2022 |
Pages | 1678-1683 |
Series Title | International Conference on Electrical Machines and Systems (ICEMS) |
Series ISSN | 2640-7841 |
Book Title | 2021 24th International Conference on Electrical Machines and Systems (ICEMS) |
ISBN | 9781665441940 |
DOI | https://doi.org/10.23919/ICEMS52562.2021.9634279 |
Public URL | https://nottingham-repository.worktribe.com/output/7055375 |
Publisher URL | https://ieeexplore.ieee.org/document/9634279 |
Additional Information | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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