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 (doi:10.18710/HS8QAH)

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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

doi:10.18710/HS8QAH

DataverseNO

2021-08-18

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Khorshidi, Vahid; Kriezi, Ekaterini E.; Schlemminger, Christian; Hafner, Armin; Söylemez, Engin, 2021, "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, DataverseNO, V1

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

doi: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)

NTNU – Norwegian University of Science and Technology

DataverseNO

NTNU – Norwegian University of Science and Technology

Söylemez, Engin

Söylemez, Engin

2021-08-12

https://doi.org/10.18710/HS8QAH

Engineering, R744 (CO2), MultiPACK Project, Ejectors, Compressors, Integrated systems, Refrigeration, Data-driven models, Energy saving

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).

The publication 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

10.18462/iir.compr.2021.0390

The publication 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

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00_README_file.txt

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01_Research_data.txt

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02_Figure_1_ Integrated R744 system layout .png

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03_Figure_2_Visualiation of time correction between different data sets .png

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04_Figure_3_Week 33 mass flow rate comparison from 4 estimation methods and direct measurement for LT level.png

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05_Figure_4_Week 33 mass flow rate comparison from 4 estimation methods and direct measurement for MT level.png

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06_Figure_5_Week 33 compressors mass flow rate devation of data-driven method estimation from the measurement for both LT(left) and MT(right).png

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07_Table_1.png

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