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of 51
pro vyhledávání: '"Dominic T. J. O'Sullivan"'
Autor:
S. M. Shahnewaz Siddiquee, Bianca Howard, Ken Bruton, Alexander Brem, Dominic T. J. O'Sullivan
Publikováno v:
Frontiers in Energy Research, Vol 9 (2021)
Achieving energy flexibility is becoming a key concern for energy system planners that manage intermittent and variable generations. Industries have enormous potential to deliver large-scale energy flexibility through demand response (DR) programs. T
Externí odkaz:
https://doaj.org/article/fe7ff946f2444cba88695f99a1274011
Publikováno v:
Applied Sciences, Vol 12, Iss 13, p 6704 (2022)
The disparity between public datasets and real industrial datasets is limiting the practical application of advanced data analysis. Therefore, industry is stuck in a reactive mode regarding their maintenance strategy and cannot transition to cost-eff
Externí odkaz:
https://doaj.org/article/4cfe92f11f3a41619cfcacbc6d104057
Publikováno v:
Energies, Vol 14, Iss 24, p 8261 (2021)
Increasing the level and diversifying the sources of flexible capacity available to transmission system operators will be a pivotal factor for maintaining reliable control of national electricity grids. These response capacities are widely available;
Externí odkaz:
https://doaj.org/article/e67b1679ed5b40e99e9df8d3c3d87116
Autor:
Kevin Leahy, R. Lily Hu, Ioannis C. Konstantakopoulos, Costas J. Spanos, Alice M. Agogino, Dominic T. J. O’Sullivan
Publikováno v:
International Journal of Prognostics and Health Management, Vol 9, Iss 1 (2018)
Unscheduled or reactive maintenance on wind turbines due to component failure incurs significant downtime and, in turn, loss of revenue. To this end, it is important to be able to perform maintenance before it’s needed. To date, a strong effort ha
Externí odkaz:
https://doaj.org/article/9f489ed8b2c0425f9a1f861923c19d7f
Publikováno v:
Future Internet, Vol 11, Iss 8, p 174 (2019)
The application of blockchain technology to the energy sector promises to derive new operating models focused on local generation and sustainable practices, which are driven by peer-to-peer collaboration and community engagement. However, real-world
Externí odkaz:
https://doaj.org/article/6de3ff3a602443b1a630843c63112bde
Publikováno v:
Energies, Vol 11, Iss 7, p 1738 (2018)
Using 10-minute wind turbine supervisory control and data acquisition (SCADA) system data to predict faults can be an attractive way of working toward a predictive maintenance strategy without needing to invest in extra hardware. Classification metho
Externí odkaz:
https://doaj.org/article/e3e490630d5d4e8cb2ecc9fe81768036
Akademický článek
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Publikováno v:
The TQM Journal. 35:51-72
PurposeData-driven quality management systems, brought about by the implementation of digitisation and digital technologies, is an integral part of improving supply chain management performance. The purpose of this study is to determine a methodology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19f5ac4f59f6a9d2c10e7de54d269234
https://doi.org/10.1108/tqm-02-2021-0061
https://doi.org/10.1108/tqm-02-2021-0061
Publikováno v:
Procedia Manufacturing. 51:1523-1530
In the field of industrial engineering the knowledge produced by newly obtained data is driving business forward. Automating the process of capturing data from industrial machines, analyzing it and using the knowledge gained to make better decisions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5e4dcd4f8c458cf8ce1e2ec86726939
https://doi.org/10.1016/j.promfg.2020.10.212
https://doi.org/10.1016/j.promfg.2020.10.212
Publikováno v:
The 9th Annual Edition of Sustainable Places (SP 2021).
This research focused on the development of a Digital Model (DM) of a production line at a medical device company, with the objective of providing decision support to stakeholders based on their energy consumption. This model aims to reduce energy co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9de0b7dda81641de0eaa3e03d9d1ffc
https://doi.org/10.3390/environsciproc2021011003
https://doi.org/10.3390/environsciproc2021011003