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An empirical model for a CO2 thermal compressor based on experimental data.

Number: 1546

Author(s) : SALAME A., LEMORT V., DUFOUR P., NADRI M., IBSAINE R.

Summary

A thermal compressor uses thermal energy to increase the pressure of the working gas, while maintaining a temperature difference, as an essential factor for its effective functioning. BoostHEAT's innovative thermal compressor, driven by eco-friendly thermal energy, not only targets the replacement of traditional compressors in various CO2 applications, but also aligns with the critical environmental motive to address global warming. The design of the targeted thermal compressor is inspired by the gamma type Stirling engine, replacing the power piston with inlet and outlet valves. In this paper, the thermal compressor (treated as a black box) is implemented in a heat pump cycle, on which the tests were conducted. In the context of thermodynamic analysis, six principal inputs are imposed to the compressor, and five outputs are measured. These physical variables are crucial in characterizing the compressor, and evaluating its perfromance. An empirical model is developed where each output is represented as a function of these inputs in a general mathematical form. The objective is to fine-tune these functions using machine learning regression methods, based on the collected data. A sensitivity analysis is carried on each output with respect to the inputs, in order to investigate the correlations between them and find the relevant inputs for each selected output.

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  • Original title: An empirical model for a CO2 thermal compressor based on experimental data.
  • Record ID : 30033632
  • Languages: English
  • Subject: Technology
  • Source: 2024 Purdue Conferences. 27th International Compressor Engineering Conference at Purdue.
  • Publication date: 2024/07/18

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