Open Access Peer-reviewed Research Article

Experimental investigation of gamma Stirling engine coupling to convert thermal to cooling energy in different laboratory conditions

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Schema Gamma Type Stirling engine
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Submitted   Sep 22, 2022
Published   Nov 3, 2022
Issue    Vol 4 No 1 (2022)
DOI   10.25082/REIE.2022.01.004

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Hamidreza Asemi
Faculty of Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Sareh Daneshgar
Faculty of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Rahim Zahedi corresponding author
Department of Renewable energy and Environmental Engineering, University of Tehran, Tehran, Iran

Abstract

The main aim of this research is to experimentally investigate the two coupled identical ST500 gamma-type Stirling engines and convert thermal energy to cooling energy. Using a new structure and two coupled Stirling engines at different temperatures and pressures and use of biomass fuel within the 4 -8 bar average pressure range of the first engine heat source, the 1-4 bar average pressure range of the second engine heat sink, and Stirling heat engine temperature range of 480-580ºC, the effective cooling is obtained in the cooling engine. In doing tests, attempts were made to reach lower than 9 percent error results in different parts of engine, including insulation, fluid leakage, belt loosing, and measurement devices. According to the obtained results, 8 bars increase in the average pressure range of the gas in the first engine heat source, a 1 bar reduction in the average pressure range of the gas in the second engine heat sink, the increased temperature of the heat source up to 580ºC, and the use of the light operating fluid such as helium will affect the generation of cooling up to -16ºC.

Keywords
cooling, power supply, gamma Stirling, biomass

Article Details

How to Cite
Asemi, H., Daneshgar, S., & Zahedi, R. (2022). Experimental investigation of gamma Stirling engine coupling to convert thermal to cooling energy in different laboratory conditions. Resources Environment and Information Engineering, 4(1), 200-212. https://doi.org/10.25082/REIE.2022.01.004
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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