10.18710/HS8QAH
Khorshidi, Vahid(Danfoss A/S)Kriezi, Ekaterini E.(Danfoss A/S)Schlemminger, Christian(SINTEF Energy Research)Hafner, Armin(NTNU – Norwegian University of Science and Technology)Söylemez, Engin(NTNU – Norwegian University of Science and Technology)
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
DataverseNO
2021
doi:10.18710/HS8QAH/RVAKR0doi:10.18710/HS8QAH/RBMRLHdoi:10.18710/HS8QAH/5BWFWUdoi:10.18710/HS8QAH/BZ8RSUdoi:10.18710/HS8QAH/0I6RJNdoi:10.18710/HS8QAH/FQUDVZdoi:10.18710/HS8QAH/OW9XM3doi:10.18710/HS8QAH/IAXWV8
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).
Söylemez, Engin(NTNU – Norwegian University of Science and Technology)NTNU – Norwegian University of Science and Technology