Economic feasibility assessment of microgrids with renewable energy sources in Peruvian rural areas

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Electrifcation of Peru's rural areas is an issue of vital importance for economic growth. However, these areas still have poor quality electricity service or operate in a stand-alone mode with high cost of energy. To address this problem, one of the most promising strategies proposes the use of...

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Detalles Bibliográficos
Autores: Quispe Huarcaya, Juan Carlos, Obispo Vásquez, Ángel Eduardo, Alcántara Benjumea, Francisco Javier
Formato: documento de trabajo
Fecha de Publicación:2023
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/6543
Enlace del recurso:https://hdl.handle.net/20.500.12867/6543
https://doi.org/10.1007/s10098-023-02463-w
Nivel de acceso:acceso abierto
Materia:Renewable energy
Rural areas
Electricity
Energy distribution
https://purl.org/pe-repo/ocde/ford#5.02.00
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dc.title.es_PE.fl_str_mv Economic feasibility assessment of microgrids with renewable energy sources in Peruvian rural areas
title Economic feasibility assessment of microgrids with renewable energy sources in Peruvian rural areas
spellingShingle Economic feasibility assessment of microgrids with renewable energy sources in Peruvian rural areas
Quispe Huarcaya, Juan Carlos
Renewable energy
Rural areas
Electricity
Energy distribution
https://purl.org/pe-repo/ocde/ford#5.02.00
title_short Economic feasibility assessment of microgrids with renewable energy sources in Peruvian rural areas
title_full Economic feasibility assessment of microgrids with renewable energy sources in Peruvian rural areas
title_fullStr Economic feasibility assessment of microgrids with renewable energy sources in Peruvian rural areas
title_full_unstemmed Economic feasibility assessment of microgrids with renewable energy sources in Peruvian rural areas
title_sort Economic feasibility assessment of microgrids with renewable energy sources in Peruvian rural areas
author Quispe Huarcaya, Juan Carlos
author_facet Quispe Huarcaya, Juan Carlos
Obispo Vásquez, Ángel Eduardo
Alcántara Benjumea, Francisco Javier
author_role author
author2 Obispo Vásquez, Ángel Eduardo
Alcántara Benjumea, Francisco Javier
author2_role author
author
dc.contributor.author.fl_str_mv Quispe Huarcaya, Juan Carlos
Obispo Vásquez, Ángel Eduardo
Alcántara Benjumea, Francisco Javier
dc.subject.es_PE.fl_str_mv Renewable energy
Rural areas
Electricity
Energy distribution
topic Renewable energy
Rural areas
Electricity
Energy distribution
https://purl.org/pe-repo/ocde/ford#5.02.00
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#5.02.00
description Electrifcation of Peru's rural areas is an issue of vital importance for economic growth. However, these areas still have poor quality electricity service or operate in a stand-alone mode with high cost of energy. To address this problem, one of the most promising strategies proposes the use of renewable energy technologies through the implementation of electrical microgrids (MGs). In this context, this research develops the analysis of 37 cases of rural villages throughout Peru in order to obtain the optimal MG design and the most feasible areas for its implementation, considering the associated costs, geographic location and load characteristics. For this purpose, an optimization process is carried out using HOMER Prosoftware with the aim of sizing the MG with the minimum net present cost and cost of energy. Then, an iterative process is developed in MATLAB software to map cost values, renewable contribution, emissions, the energy charge and the annual savings in the utility bill. This analysis considers fve scenarios base on a grid-connected MG (with sensitivity values of grid sellback price) and an of-grid MG system. The results show the geographic distribution of all the annual utility saving bill. For the grid-connected MG condition, it presents a proft in the range of $107.08 to $368.2 compared to loads connected to the grid; while for the of-grid MG condition, it presents a proft in the range of $1269 to $4976 in comparison with loads connected to a diesel generator.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-01-27T14:55:02Z
dc.date.available.none.fl_str_mv 2023-01-27T14:55:02Z
dc.date.issued.fl_str_mv 2023
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dc.identifier.issn.none.fl_str_mv 1618-954X
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12867/6543
dc.identifier.journal.es_PE.fl_str_mv Clean Technologies and Environmental Policy
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1007/s10098-023-02463-w
identifier_str_mv 1618-954X
Clean Technologies and Environmental Policy
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https://doi.org/10.1007/s10098-023-02463-w
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dc.source.es_PE.fl_str_mv Repositorio Institucional - UTP
Universidad Tecnológica del Perú
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spelling Quispe Huarcaya, Juan CarlosObispo Vásquez, Ángel EduardoAlcántara Benjumea, Francisco Javier2023-01-27T14:55:02Z2023-01-27T14:55:02Z20231618-954Xhttps://hdl.handle.net/20.500.12867/6543Clean Technologies and Environmental Policyhttps://doi.org/10.1007/s10098-023-02463-wElectrifcation of Peru's rural areas is an issue of vital importance for economic growth. However, these areas still have poor quality electricity service or operate in a stand-alone mode with high cost of energy. To address this problem, one of the most promising strategies proposes the use of renewable energy technologies through the implementation of electrical microgrids (MGs). In this context, this research develops the analysis of 37 cases of rural villages throughout Peru in order to obtain the optimal MG design and the most feasible areas for its implementation, considering the associated costs, geographic location and load characteristics. For this purpose, an optimization process is carried out using HOMER Prosoftware with the aim of sizing the MG with the minimum net present cost and cost of energy. Then, an iterative process is developed in MATLAB software to map cost values, renewable contribution, emissions, the energy charge and the annual savings in the utility bill. This analysis considers fve scenarios base on a grid-connected MG (with sensitivity values of grid sellback price) and an of-grid MG system. The results show the geographic distribution of all the annual utility saving bill. 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