Data-Driven Energy Efficiency Improvement in Industry 4.0

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F20%3APU139272" target="_blank" >RIV/00216305:26210/20:PU139272 - isvavai.cz</a>
Result on the web
<a href="http://escc.uth.gr/wp-content/uploads/2020/11/ESCC-2020_Book-of-Abstracts.pdf" target="_blank" >http://escc.uth.gr/wp-content/uploads/2020/11/ESCC-2020_Book-of-Abstracts.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Data-Driven Energy Efficiency Improvement in Industry 4.0
Original language description
Improving energy efficiency is one of the most important efforts towardssustainable development. Energy consumption is continuously increasing and renewable energy sources still have small contribution in energy production compared to primary sources. Energy saving measures are therefore required. These typically consist of decreasing energy consumption of buildings by insulation and replacing inefficient devices with efficient ones. The other opportunity how to improve energy efficiency is based on process data. Data-driven models for industrial energy efficiency improvement heavily rely on sensor data, experimentation data and knowledge-based data. This work reveals that too much research attention was invested into making data-driven models compared to ensuring the quality of industrial data. Furthermore, the real challenge within the industry is with data communication and infrastructure problems and not with a quality of modelling techniques. Costs r
Czech name
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Czech description
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Project
<a href="/en/project/EF16_026%2F0008413" target="_blank" >EF16_026/0008413: Strategic Partnership for Environmental Technologies and Energy Production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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