Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Francesco Aldo Tucci"'
Autor:
Valerio Francesco Barnabei, Fabrizio Bonacina, Alessandro Corsini, Francesco Aldo Tucci, Roberto Santilli
Publikováno v:
Energies, Vol 16, Iss 9, p 3719 (2023)
Increasing interest in natural gas-fired gensets is motivated by District Heating (DH) network applications, especially in urban areas. Even if they represent customary solutions, when used in DH, duty regimes are driven by network thermal energy dem
Externí odkaz:
https://doaj.org/article/c4c8ff6f47664684b0a333e3f47a6c0a
Data-driven tools and techniques have proved their effectiveness in many engineering applications. Machine-learning has gradually become a paradigm to explore innovative designs in turbomachinery. However, industrial Computational Fluid Dynamics (CFD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a681c9a35ad0a64b9d8aae34b1ab036
https://doi.org/10.1115/1.0005516v
https://doi.org/10.1115/1.0005516v
Publikováno v:
Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture.
One of the key issues in turbomachinery design is the identification of loss mechanisms and their quantification, both during preliminary design and in all subsequent optimization loops. Over the years, many correlations have been proposed, accountin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::064fbbf5030e435da7165c79b7e52c9a
https://doi.org/10.1115/gt2021-59277
https://doi.org/10.1115/gt2021-59277
Publikováno v:
E3S Web of Conferences, Vol 197, p 11006 (2020)
Machine Learning (ML) algorithms have become popular in many fields, including applications related to turbomachinery and heat transfer. The key properties of ML are the capability to partially tackle the problem of slowing down of Moore’s law and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a8f8c6862d71b899b294f0c135f89e8
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/57/e3sconf_ati2020_11006.pdf
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/57/e3sconf_ati2020_11006.pdf