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Quantitative and qualitative evaluation of various positive-displacement compressor modeling platforms.

Author(s) : TANVEER A., BRADSHAW C. R.

Type of article: IJR article

Summary

Several regulatory measures aimed to mitigate climate change are forcing compressor manufacturers to replace current refrigerants to those with low Global Warming Potential (GWP). New refrigerants need to be evaluated to ensure adequate efficiency for use in modern products. Evaluation can be done heuristically, which is expensive and time-consuming, while a carefully designed simulation model can provide similar outcomes for a significantly reduced cost. This paper presents a comparison between various user-developed and existing reciprocating compressor models to assist in the selection of a suitable modeling platform for a wide-ranging study. The reciprocating compressor is selected because of the simplicity of the model to ensure consistency across different platforms. The user-developed models are developed in MATLABTM and ModelicaTM for the reciprocating compressor. The same compressor is also modeled using existing compressor modeling platforms, PDSim and GT-SuiteTM. The compressor model includes three main components; geometry, compression process and frictional losses. Other sub-models, like valve model and heat transfer model, are also part of the compression process. These platforms are evaluated based on both quantitative and qualitative criteria. ModelicaTM is found to be computationally efficient while GT-SuiteTM took maximum time for simulation among the compared platforms. On a qualitative basis, PDSim is potentially a better platform for compressor optimization; which is also readily available to end user due to its open-source nature and prospects for future model development.

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Pages: 48-63

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Details

  • Original title: Quantitative and qualitative evaluation of various positive-displacement compressor modeling platforms.
  • Record ID : 30027780
  • Languages: English
  • Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 119
  • Publication date: 2020/11
  • DOI: http://dx.doi.org/10.1016/j.ijrefrig.2020.07.009
  • Document available for consultation in the library of the IIR headquarters only.

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