
doi.org/10.18710/HS8QAH
Preview meta tags from the doi.org website.
Linked Hostnames
9- 35 links todoi.org
- 10 links todataverse.no
- 8 links tosite.uit.no
- 3 links todataverse.org
- 1 link tocreativecommons.org
- 1 link touit.no
- 1 link touustatus.no
- 1 link towww.ntnu.edu
Thumbnail
Search Engine Appearance
Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data driven models using analytical methods and actual field measurement
The mass flow rates through a compressor can be calculated from the polynomial function the manufacturer is providing, or via methods based on energy balance in the system, Sawalha et al, (2017), and Piscopiello et at al. (2018), or the volumetric displacement of the compressor. Nowadays, with the wide utilization of data-driven models it is possible to train models that can predict with relatively high accuracy the requested parameters based on controlled/normal operation of the installation. In this dataset, the data, collected from the installation in a supermarket in Porto de MOS, for a part of the research activity of the MultiPACK Project is shared. It is aimed to compare between the methods of indirect calculation of compressors mass flow rates, with observed measurements from mass flow meters installed in the system. Additionally, the emphasis is given to the development and benefits of the data-driven model. A paper, based on this dataset, "Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data-driven models using analytical methods and actual field measurement" was published at a conference (Compressors Conferences).
Bing
Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data driven models using analytical methods and actual field measurement
The mass flow rates through a compressor can be calculated from the polynomial function the manufacturer is providing, or via methods based on energy balance in the system, Sawalha et al, (2017), and Piscopiello et at al. (2018), or the volumetric displacement of the compressor. Nowadays, with the wide utilization of data-driven models it is possible to train models that can predict with relatively high accuracy the requested parameters based on controlled/normal operation of the installation. In this dataset, the data, collected from the installation in a supermarket in Porto de MOS, for a part of the research activity of the MultiPACK Project is shared. It is aimed to compare between the methods of indirect calculation of compressors mass flow rates, with observed measurements from mass flow meters installed in the system. Additionally, the emphasis is given to the development and benefits of the data-driven model. A paper, based on this dataset, "Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data-driven models using analytical methods and actual field measurement" was published at a conference (Compressors Conferences).
DuckDuckGo

Replication data for: MultiPACK Project_Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data driven models using analytical methods and actual field measurement
The mass flow rates through a compressor can be calculated from the polynomial function the manufacturer is providing, or via methods based on energy balance in the system, Sawalha et al, (2017), and Piscopiello et at al. (2018), or the volumetric displacement of the compressor. Nowadays, with the wide utilization of data-driven models it is possible to train models that can predict with relatively high accuracy the requested parameters based on controlled/normal operation of the installation. In this dataset, the data, collected from the installation in a supermarket in Porto de MOS, for a part of the research activity of the MultiPACK Project is shared. It is aimed to compare between the methods of indirect calculation of compressors mass flow rates, with observed measurements from mass flow meters installed in the system. Additionally, the emphasis is given to the development and benefits of the data-driven model. A paper, based on this dataset, "Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data-driven models using analytical methods and actual field measurement" was published at a conference (Compressors Conferences).
General Meta Tags
25- titleReplication data for: MultiPACK Project_Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data driven models using analytical methods and actual field measurement - NTNU – Norwegian University of Science and Technology
- Content-Typetext/html; charset=utf-8
- viewportwidth=device-width, initial-scale=1
- X-UA-CompatibleIE=edge
- descriptionThe mass flow rates through a compressor can be calculated from the polynomial function the manufacturer is providing, or via methods based on energy balance in the system, Sawalha et al, (2017), and Piscopiello et at al. (2018), or the volumetric displacement of the compressor. Nowadays, with the wide utilization of data-driven models it is possible to train models that can predict with relatively high accuracy the requested parameters based on controlled/normal operation of the installation. In this dataset, the data, collected from the installation in a supermarket in Porto de MOS, for a part of the research activity of the MultiPACK Project is shared. It is aimed to compare between the methods of indirect calculation of compressors mass flow rates, with observed measurements from mass flow meters installed in the system. Additionally, the emphasis is given to the development and benefits of the data-driven model. A paper, based on this dataset, "Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data-driven models using analytical methods and actual field measurement" was published at a conference (Compressors Conferences).
Open Graph Meta Tags
6- og:titleReplication data for: MultiPACK Project_Performance of integrated R744-packs Part 1 - Compressor mass flow estimation based on data driven models using analytical methods and actual field measurement
- og:typearticle
- og:urlhttps://dataverse.no/dataset.xhtml?persistentId=doi:10.18710/HS8QAH
- og:imagehttps://dataverse.no/api/datasets/:persistentId/thumbnail?persistentId=doi:10.18710/HS8QAH
- og:site_nameDataverseNO
Link Tags
17- apple-touch-icon/jakarta.faces.resource/images/fav/apple-touch-icon.png.xhtml;jsessionid=e841ba2d3b71cde316baa56f085c
- icon/jakarta.faces.resource/images/fav/favicon-16x16.png.xhtml;jsessionid=e841ba2d3b71cde316baa56f085c
- icon/jakarta.faces.resource/images/fav/favicon-32x32.png.xhtml;jsessionid=e841ba2d3b71cde316baa56f085c
- image_src/jakarta.faces.resource/images/dataverseproject.png.xhtml;jsessionid=e841ba2d3b71cde316baa56f085c
- manifest/jakarta.faces.resource/images/fav/site.webmanifest.xhtml;jsessionid=e841ba2d3b71cde316baa56f085c
Links
61- http://creativecommons.org/publicdomain/zero/1.0
- http://dataverse.org
- http://site.uit.no/dataverseno/deposit
- https://dataverse.no/;jsessionid=e841ba2d3b71cde316baa56f085c
- https://dataverse.no/api/datasets/export;jsessionid=e841ba2d3b71cde316baa56f085c?exporter=Datacite&persistentId=doi%3A10.18710/HS8QAH