Power improvement of the Stirling Amazon engine using modeling tools
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| Format: | Artículo científico |
| Language: | en |
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Universidad Autónoma de Occidente
2017
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| author | Juan R. Vidal |
| author_facet | Juan R. Vidal |
| contents | Power improvement of the Stirling Amazon engine using modeling tools Juan R. Vidal Vladimir M. Cobas Electo S. Lora Félix González Ingeniería b i o m a s s distributed generation S t i r l i n g e n g i n e m a t h e m a t i c a l m o d e l i n g Brazil has a great potential of biomass that can be used for electric generation. Furthermore, much of its territory is covered by forests, which are inhabited or have habitable regions, but face the problem of power shortages (Wilke & Silva, 2004). In this scenario, an alternative such as the Stirling engine is presented as a good way of energy supply in those isolated regions. This is the reason, the Excellency Group in Thermo-electric and Distributed Generation (NEST, for its acronym in Portuguese) at the Federal University of Itajubá, has designed a Stirling engine prototype to provide electricity to isolated regions of Brazil. This paper presents mathematical models of heat exchangers (hot, cold and regenerator) integrated into second order adiabatic models. The general model takes into account the pressure drop losses in the working Àuids and exhaust gases, the thermal losses in the regenerator (not ideal), the hysteresis and losses due to internal heat transfer. The mathematical model, experimentally validated in the software PROSA ®, allowing improvements that increase the output power in the Amazon engine in 3,3 kW and reduce the dead volume to 7330 cm3. 2017 artículo científico 0121-0777 https://www.redalyc.org/articulo.oa?id=47849964002 en http://www.redalyc.org/revista.oa?id=478 El Hombre y la Máquina application/pdf Universidad Autónoma de Occidente El Hombre y la Máquina (Colombia) Num.48 |
| format | Artículo científico |
| id | redalyc_47849964002 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Universidad Autónoma de Occidente |
| spellingShingle | Power improvement of the Stirling Amazon engine using modeling tools Juan R. Vidal Ingeniería b i o m a s s distributed generation S t i r l i n g e n g i n e m a t h e m a t i c a l m o d e l i n g Power improvement of the Stirling Amazon engine using modeling tools Juan R. Vidal Vladimir M. Cobas Electo S. Lora Félix González Ingeniería b i o m a s s distributed generation S t i r l i n g e n g i n e m a t h e m a t i c a l m o d e l i n g Brazil has a great potential of biomass that can be used for electric generation. Furthermore, much of its territory is covered by forests, which are inhabited or have habitable regions, but face the problem of power shortages (Wilke & Silva, 2004). In this scenario, an alternative such as the Stirling engine is presented as a good way of energy supply in those isolated regions. This is the reason, the Excellency Group in Thermo-electric and Distributed Generation (NEST, for its acronym in Portuguese) at the Federal University of Itajubá, has designed a Stirling engine prototype to provide electricity to isolated regions of Brazil. This paper presents mathematical models of heat exchangers (hot, cold and regenerator) integrated into second order adiabatic models. The general model takes into account the pressure drop losses in the working Àuids and exhaust gases, the thermal losses in the regenerator (not ideal), the hysteresis and losses due to internal heat transfer. The mathematical model, experimentally validated in the software PROSA ®, allowing improvements that increase the output power in the Amazon engine in 3,3 kW and reduce the dead volume to 7330 cm3. 2017 artículo científico 0121-0777 https://www.redalyc.org/articulo.oa?id=47849964002 en http://www.redalyc.org/revista.oa?id=478 El Hombre y la Máquina application/pdf Universidad Autónoma de Occidente El Hombre y la Máquina (Colombia) Num.48 |
| title | Power improvement of the Stirling Amazon engine using modeling tools |
| topic | Ingeniería b i o m a s s distributed generation S t i r l i n g e n g i n e m a t h e m a t i c a l m o d e l i n g |
| url | https://www.redalyc.org/articulo.oa?id=47849964002 |