Sizing and Sensitivity Analysis of a Stand-alone Microgrid Using HOMER Pro

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dc.creatorGarcía-García, Jersson
dc.creatorOsma-Pinto, German
dc.date2023-03-22
dc.date.accessioned2025-10-01T23:52:51Z
dc.descriptionIn recent years, the implementation and study of microgrids (MG) has increased. Their sizing depends on the input data (e.g., demand, microclimate, costs, and constraints), so that the variation of one or more of these can modify the optimal solution of the MG and its expected operation. Such variation occurs due to the economic, technological, or climatic context, so a sensitivity analysis was proposed to characterize its impact. In order to contribute to the application of sensitivity analysis in MG projects, the objective of this work was to study the impact of seven sensitivity variables (solar irradiation, wind speed, ambient temperature, minimum state of charge of the battery bank, fuel price, discount rate and inflation rate) on the sizing and economic and operational indicators of an isolated MG for residential users in a rural municipality of Colombia. The analysis was carried out using the HOMER Pro tool, and the main indicators analyzed were net present cost, energy cost, capital cost, operating cost and renewable fraction. The results allowed identifying that the most influential variables for the case study are fuel price, inflation rate, discount rate and solar irradiation; likewise, it appreciated the usefulness of HOMER Pro for this type of analysis and the convenience of the graphic representation to study the impact of the sensitivity variables. In addition, the variation of the input data influences the feasibility of results, as, for example, the net present cost decreases with increasing fuel price, ambient temperature, or inflation rate, while it increases with decreasing minimum state of charge, solar irradiance, or discount rate.en-US
dc.descriptionEn años recientes, ha incrementado la implementación y el estudio de microrredes (MR). Su dimensionamiento depende de los datos de entrada (ej., demanda, microclima, costos y restricciones), por lo que la variación de uno o más de estos pueden modificar la solución óptima de la MR y su operación esperada. Tal variación se presenta debido al contexto económico, tecnológico o climático, por lo que, se propuso hacer un análisis de sensibilidad que caracterice su impacto. Con el fin de aportar en la aplicación del análisis de sensibilidad en proyectos de MR, el objetivo de este trabajo consistió en estudiar el impacto de siete variables de sensibilidad (irradiación solar, velocidad del viento, temperatura ambiente, estado de carga mínimo del banco de baterías, precio del combustible, tasa de descuento y tasa de inflación) sobre el dimensionamiento e indicadores económicos y operativos de una MR aislada para usuarios residenciales en un municipio rural de Colombia. El análisis se realizó a partir del uso de la herramienta HOMER Pro, siendo los principales indicadores analizados: costo presente neto, costo de energía, costo de capital, costo de operación y fracción renovable. Los resultados permitieron identificar que las variables más influyentes para el caso de estudio son: precio del combustible, tasa de inflación, tasa de descuento e irradiación solar; asimismo, apreció la utilidad de HOMER Pro para este tipo de análisis y la conveniencia de la representación gráfica para estudiar el impacto de las variables de sensibilidad. En conclusión, la variación de los datos de entrada influye en la factibilidad de resultados, como por ejemplo, el costo presente neto disminuye con el aumento del precio del combustible, la temperatura ambiente o la tasa de inflación, mientras que aumenta con la reducción del estado de carga mínimo, la irradiación solar o la tasa de descuento.es-ES
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dc.identifierhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/2565
dc.identifier10.22430/22565337.2565
dc.identifier.urihttps://hdl.handle.net/20.500.12622/7857
dc.languagespa
dc.publisherInstituto Tecnológico Metropolitano (ITM)es-ES
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dc.rightsDerechos de autor 2022 TecnoLógicases-ES
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0es-ES
dc.sourceTecnoLógicas; Vol. 26 No. 56 (2023); e2565en-US
dc.sourceTecnoLógicas; Vol. 26 Núm. 56 (2023); e2565es-ES
dc.source2256-5337
dc.source0123-7799
dc.subjectSensitivity analysisen-US
dc.subjectHOMER Proen-US
dc.subjectEconomic indicatorsen-US
dc.subjectTechnical indicatorsen-US
dc.subjectStand-alone microgriden-US
dc.subjectSizing procedureen-US
dc.subjectAnálisis de sensibilidades-ES
dc.subjectHOMER Proes-ES
dc.subjectIndicadores económicoses-ES
dc.subjectIndicadores técnicoses-ES
dc.subjectMicrorred aisladaes-ES
dc.subjectProcedimiento de dimensionamientoes-ES
dc.titleSizing and Sensitivity Analysis of a Stand-alone Microgrid Using HOMER Proen-US
dc.titleDimensionamiento y análisis de sensibilidad de una microrred aislada usando HOMER Proes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeResearch Papersen-US
dc.typeArtículos de investigaciónes-ES

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