Methodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLAB
Descripción del Articulo
Due to scarcity of topographic and hydrological information in high jungle areas, many times projects based on water management are not developed. This is of interest because they involve hydroelectric generation projects. The latter are considered important because of their capacity to satisfy the...
Autores: | , , |
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Formato: | artículo |
Fecha de Publicación: | 2022 |
Institución: | Universidad Peruana de Ciencias Aplicadas |
Repositorio: | UPC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorioacademico.upc.edu.pe:10757/669068 |
Enlace del recurso: | http://hdl.handle.net/10757/669068 |
Nivel de acceso: | acceso abierto |
Materia: | algorithm geographic information system hydroelectric potential hydrological model renewable energy |
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dc.title.es_PE.fl_str_mv |
Methodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLAB |
title |
Methodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLAB |
spellingShingle |
Methodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLAB Orozco, Joséc Canales algorithm geographic information system hydroelectric potential hydrological model renewable energy |
title_short |
Methodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLAB |
title_full |
Methodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLAB |
title_fullStr |
Methodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLAB |
title_full_unstemmed |
Methodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLAB |
title_sort |
Methodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLAB |
author |
Orozco, Joséc Canales |
author_facet |
Orozco, Joséc Canales Aranzana, Maria F.Gonzales Hurtado, Sissi Santos |
author_role |
author |
author2 |
Aranzana, Maria F.Gonzales Hurtado, Sissi Santos |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Orozco, Joséc Canales Aranzana, Maria F.Gonzales Hurtado, Sissi Santos |
dc.subject.es_PE.fl_str_mv |
algorithm geographic information system hydroelectric potential hydrological model renewable energy |
topic |
algorithm geographic information system hydroelectric potential hydrological model renewable energy |
description |
Due to scarcity of topographic and hydrological information in high jungle areas, many times projects based on water management are not developed. This is of interest because they involve hydroelectric generation projects. The latter are considered important because of their capacity to satisfy the energy demand of a population and to minimize environmental impact of energy generation. In this sense, we propose a methodology for hydroelectric potential evaluation in high jungle areas that considers the following steps: (a) develop an algorithm in MATLAB in charge of searching geographical conditions for hydroelectric power plant’s location, (b) definition of restrictions: political delimitation, environmental and demographic, (c) generation of average flows based on rainfall-runoff models, estimation of hydroelectric potential and economic evaluation of selected points. The high jungle area studied was Utcubamba basin, in department of Amazonas, Peru, where 2 possible locations with hydroelectric power of 5.33 and 6.09 MW were located. |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2023-10-24T01:06:09Z |
dc.date.available.none.fl_str_mv |
2023-10-24T01:06:09Z |
dc.date.issued.fl_str_mv |
2022-06-01 |
dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.doi.none.fl_str_mv |
10.12720/jait.13.3.277-283 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10757/669068 |
dc.identifier.eissn.none.fl_str_mv |
17982340 |
dc.identifier.journal.es_PE.fl_str_mv |
Journal of Advances in Information Technology |
dc.identifier.eid.none.fl_str_mv |
2-s2.0-85130699643 |
dc.identifier.scopusid.none.fl_str_mv |
SCOPUS_ID:85130699643 |
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0000 0001 2196 144X |
identifier_str_mv |
10.12720/jait.13.3.277-283 17982340 Journal of Advances in Information Technology 2-s2.0-85130699643 SCOPUS_ID:85130699643 0000 0001 2196 144X |
url |
http://hdl.handle.net/10757/669068 |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.relation.url.es_PE.fl_str_mv |
http://www.jait.us/index.php?m=content&c=index&a=show&catid=217&id=1227 |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.*.fl_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.format.es_PE.fl_str_mv |
application/pdf |
dc.publisher.es_PE.fl_str_mv |
Engineering and Technology Publishing |
dc.source.none.fl_str_mv |
reponame:UPC-Institucional instname:Universidad Peruana de Ciencias Aplicadas instacron:UPC |
instname_str |
Universidad Peruana de Ciencias Aplicadas |
instacron_str |
UPC |
institution |
UPC |
reponame_str |
UPC-Institucional |
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UPC-Institucional |
dc.source.journaltitle.none.fl_str_mv |
Journal of Advances in Information Technology |
dc.source.volume.none.fl_str_mv |
13 |
dc.source.issue.none.fl_str_mv |
3 |
dc.source.beginpage.none.fl_str_mv |
277 |
dc.source.endpage.none.fl_str_mv |
283 |
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In this sense, we propose a methodology for hydroelectric potential evaluation in high jungle areas that considers the following steps: (a) develop an algorithm in MATLAB in charge of searching geographical conditions for hydroelectric power plant’s location, (b) definition of restrictions: political delimitation, environmental and demographic, (c) generation of average flows based on rainfall-runoff models, estimation of hydroelectric potential and economic evaluation of selected points. 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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).