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).通过压缩机的质量流量可通过制造商提供的多项式函数计算，亦可采用基于系统能量平衡的方法（Sawalha等人，2017；Piscopiello等人，2018）或压缩机容积排量法进行计算。如今，随着数据驱动模型（data-driven models）的广泛应用，基于装置受控/正常运行工况下的数据训练模型，已可实现对所需参数的高精度预测。本数据集共享了从葡萄牙波尔图德莫什（Porto de MOS）某超市制冷装置中采集得到的相关数据，该部分数据为MultiPACK项目部分研究活动的成果。本数据集旨在对比压缩机质量流量的间接计算方法与系统中安装的质量流量计实测数据。此外，本数据集重点关注数据驱动模型的构建及其应用优势。基于本数据集的学术论文《集成式R744机组性能 第1部分——基于分析方法与实际现场测量的数据驱动模型的压缩机质量流量估算》已在压缩机大会（Compressors Conferences）上发表。