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- Peng, ChenZhejiang Univ, Peoples R China (author)
Industrial Internet of Things enabled supply-side energy modelling for refined energy management in aluminium extrusions manufacturing
- Article/chapterEnglish2021
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- Elsevier Science Ltd,2021
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- LIBRIS-ID:oai:DiVA.org:liu-175961
- https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175961URI
- https://doi.org/10.1016/j.jclepro.2021.126882DOI
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- Language:English
- Summary in:English
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- Funding Agencies|National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [U151248]; FlexSUS: Flexibility for Smart Urban Energy Systems [91352]; European UnionEuropean Commission [775970]
- To improve industrial sustainability performance in manufacturing, energy management and optimi-sation are key levers. This is particularly true for aluminium extrusions manufacturing dan energy -intensive production system with considerable environmental impacts. Many energy management and optimisation approaches have been studied to relieve such negative impact. However, the effectiveness of these approaches is compromised without the support of refined supply-side energy consumption information. 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. To acquire that refined energy consumption information, a supply-side energy modelling method based on existing industrial internet of things devices for energy-intensive production systems is proposed in this paper. First, the job-specified production event concept is proposed, and the layout of the data acqui-sition network is designed to obtain the event elements. Second, the mathematical models are developed to calculate the energy consumption of the production event in three process modes. Third, the energy consumption information of multiple manufacturing element dimensions can be derived from the mathematical models, and therefore, the energy consumption information on multiple dimensions is easily scaled. Finally, a case of refined energy cost accounting is studied to demonstrate the feasibility of the proposed models. ? 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Naturresursteknik Energisystem hsv//swe
- ENGINEERING AND TECHNOLOGY Environmental Engineering Energy Systems hsv//eng
- Industrial internet of things; Supply-side energy modelling; Refined energy management; Mixed manufacturing system; Aluminium extrusions manufacturing
Added entries (persons, corporate bodies, meetings, titles ...)
- Peng, TaoZhejiang Univ, Peoples R China (author)
- Liu, YangLinköpings universitet,Industriell miljöteknik,Tekniska fakulteten,Univ Vaasa, Finland(Swepub:liu)yanli35 (author)
- Geissdoerfer, MartinUniv Cambridge, England (author)
- Evans, SteveUniv Cambridge, England (author)
- Tang, RenzhongZhejiang Univ, Peoples R China (author)
- Zhejiang Univ, Peoples R ChinaIndustriell miljöteknik (creator_code:org_t)
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- In:Journal of Cleaner Production: Elsevier Science Ltd3010959-65261879-1786
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