Data-Driven Energy Efficiency Improvement in Industry 4.0

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Data-Driven Energy Efficiency Improvement in Industry 4.0

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Data-Driven Energy Efficiency Improvement in Industry 4.0

Popis výsledku anglicky

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

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20704 - Energy and fuels

Projekt

<a href="/cs/project/EF16_026%2F0008413" target="_blank" >EF16_026/0008413: Strategické partnerství pro environmentální technologie a produkci energie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů