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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | Rico Salamanca, Daniel Santiago. | - |
| dc.date.accessioned | 2026-11-13T18:24:11Z | - |
| dc.date.available | 2025 | - |
| dc.date.available | 2026-11-13T18:24:11Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.citation | Rico Salamanca, D. S. (2025). Análisis De La Optimización Del Ciclo Termodinámico Orgánico De Rankine Mediante Ciencia De Datos: Una Revisión Documental De Investigaciones Científicas [ Trabajo de Grado Pregrado, Universidad de Pamplona]. Repositorio Hulago Universidad de Pamplona. https://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/12428 | es_CO |
| dc.identifier.uri | https://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/12428 | - |
| dc.description | En esta monografía de recopilación se aborda el problema de la conversión eficiente de fuentes de calor residual y de baja temperatura en energía eléctrica, mediante el análisis de varios artículos científicos que estudian, desde diferentes enfoques, el Ciclo Orgánico de Rankine (ORC), una tecnología con alto potencial en el contexto de la sostenibilidad energética. Para ello, se realiza una revisión cronológica de cinco investigaciones que destacan por su aplicación de técnicas avanzadas de análisis de datos, las cuales han permitido mejoras significativas en la eficiencia térmica, la viabilidad económica y el diseño de sistemas ORC. Los estudios analizados integran metodologías como algoritmos evolutivos, modelado molecular, simulaciones computacionales y análisis de patentes, que favorecen una optimización precisa en la selección de fluidos de trabajo y en la configuración de los componentes del ciclo. A pesar de los avances, se reconocen algunas limitaciones como los costos de implementación, la complejidad en la integración con fuentes renovables y la necesidad de mejores fluidos. No obstante, los resultados evidencian que la articulación entre la termodinámica y la ciencia de datos constituye una vía sólida para el desarrollo y adopción a gran escala de esta tecnología en el marco de un sistema energético más eficiente y limpio. Finalmente, la revisión cronológica de los artículos permite evidenciar el proceso de optimización progresiva en la aplicación del ORC, consolidándolo como una solución viable y adaptable para diversas industrias en la actualidad. | es_CO |
| dc.description.abstract | El autor no proporciona la información sobre este ítem. | es_CO |
| dc.format.extent | 63 | es_CO |
| dc.format.mimetype | application/pdf | es_CO |
| dc.language.iso | es | es_CO |
| dc.publisher | Universidad de Pamplona - Facultad de Ciencias Basicas. | es_CO |
| dc.subject | Análisis de datos. | es_CO |
| dc.subject | Ciclo orgánico de rankine. | es_CO |
| dc.subject | Eficiencia. | es_CO |
| dc.subject | Optimización. | es_CO |
| dc.title | Análisis De La Optimización Del Ciclo Termodinámico Orgánico De Rankine Mediante Ciencia De Datos: Una Revisión Documental De Investigaciones Científicas. | es_CO |
| dc.type | http://purl.org/coar/resource_type/c_7a1f | es_CO |
| dc.date.accepted | 2025 | - |
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| dc.rights.accessrights | http://purl.org/coar/access_right/c_abf2 | es_CO |
| dc.type.coarversion | http://purl.org/coar/resource_type/c_2df8fbb1 | es_CO |
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