doi.org/10.18710/HS8QAH

Preview meta tags from the doi.org website.

Linked Hostnames

9

Thumbnail

Search Engine Appearance

Google

https://doi.org/10.18710/HS8QAH

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

https://doi.org/10.18710/HS8QAH

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

https://doi.org/10.18710/HS8QAH

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
    • title
      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 - NTNU – Norwegian University of Science and Technology
    • Content-Type
      text/html; charset=utf-8
    • viewport
      width=device-width, initial-scale=1
    • X-UA-Compatible
      IE=edge
    • description
      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).
  • Open Graph Meta Tags

    6
    • og:title
      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
    • og:type
      article
    • og:url
      https://dataverse.no/dataset.xhtml?persistentId=doi:10.18710/HS8QAH
    • og:image
      https://dataverse.no/api/datasets/:persistentId/thumbnail?persistentId=doi:10.18710/HS8QAH
    • og:site_name
      DataverseNO
  • 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