Quantitative and qualitative evaluation of various positive-displacement compressor modeling platforms.
Number: 1248
Author(s) : TANVEER M. M., BRADSHAW C. R.
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 timeconsuming,
while a carefully designed simulation model can provide similar outcomes for a significantly reduced
cost. This paper presents a comparison between various userdeveloped
and existing reciprocating compressor models
to assist in the selection of a suitable modeling platform for a wideranging
study. The reciprocating compressor is
selected because of the simplicity of the model to ensure consistency across different platforms. The userdeveloped models are developed in MATLAB™ and Modelica™ for the reciprocating compressor. The same compressor is also modeled using existing compressor modeling platforms, PDSim and GTSuite™. The compressor model includes three main components; geometry, compression process and frictional losses. Other submodels, 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. Modelica™ is found to be computationally efficient while GTSuite ™ 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 opensource nature and prospects for future model development.
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Details
- Original title: Quantitative and qualitative evaluation of various positive-displacement compressor modeling platforms.
- Record ID : 30028359
- Languages: English
- Subject: Technology
- Source: 2021 Purdue Conferences. 25th International Compressor Engineering Conference at Purdue.
- Publication date: 2021/05
- Document available for consultation in the library of the IIR headquarters only.
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