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...

Descripción completa

Detalles Bibliográficos
Autores: Orozco, Joséc Canales, Aranzana, Maria F.Gonzales, Hurtado, Sissi Santos
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
id UUPC_131c9b3a875f61d0801974c8868b6346
oai_identifier_str oai:repositorioacademico.upc.edu.pe:10757/669068
network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
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
dc.identifier.isni.none.fl_str_mv 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
collection 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
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/669068/5/20220428061918674.pdf.jpg
https://repositorioacademico.upc.edu.pe/bitstream/10757/669068/4/20220428061918674.pdf.txt
https://repositorioacademico.upc.edu.pe/bitstream/10757/669068/3/license.txt
https://repositorioacademico.upc.edu.pe/bitstream/10757/669068/2/license_rdf
https://repositorioacademico.upc.edu.pe/bitstream/10757/669068/1/20220428061918674.pdf
bitstream.checksum.fl_str_mv dbd9dd48ba2d72ae2a2a3fab46de8989
f54bc8fc10658fa7f3192306a2c1ddc5
8a4605be74aa9ea9d79846c1fba20a33
934f4ca17e109e0a05eaeaba504d7ce4
2ff81e204b67c38818ccd616670284b7
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio académico upc
repository.mail.fl_str_mv upc@openrepository.com
_version_ 1837186808124801024
spelling daa1cfa9669dc26ec77f67be2ae229693009414ff521f0b19c1bcd2a1f608df69233003fc71176014261df4a3ae56fb2bd55dd500Orozco, Joséc CanalesAranzana, Maria F.GonzalesHurtado, Sissi Santos2023-10-24T01:06:09Z2023-10-24T01:06:09Z2022-06-0110.12720/jait.13.3.277-283http://hdl.handle.net/10757/66906817982340Journal of Advances in Information Technology2-s2.0-85130699643SCOPUS_ID:851306996430000 0001 2196 144XDue 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.application/pdfengEngineering and Technology Publishinghttp://www.jait.us/index.php?m=content&c=index&a=show&catid=217&id=1227info:eu-repo/semantics/openAccessAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/algorithmgeographic information systemhydroelectric potentialhydrological modelrenewable energyMethodology for Hydroelectric Potential Evaluation in High Jungle Area with Scarce Topographic and Hydrological Information Using GIS and Algorithm MATLABinfo:eu-repo/semantics/articleJournal of Advances in Information Technology133277283reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPC2023-10-24T01:06:12ZTHUMBNAIL20220428061918674.pdf.jpg20220428061918674.pdf.jpgGenerated Thumbnailimage/jpeg109878https://repositorioacademico.upc.edu.pe/bitstream/10757/669068/5/20220428061918674.pdf.jpgdbd9dd48ba2d72ae2a2a3fab46de8989MD55falseTEXT20220428061918674.pdf.txt20220428061918674.pdf.txtExtracted texttext/plain23833https://repositorioacademico.upc.edu.pe/bitstream/10757/669068/4/20220428061918674.pdf.txtf54bc8fc10658fa7f3192306a2c1ddc5MD54falseLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/669068/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD53falseCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81031https://repositorioacademico.upc.edu.pe/bitstream/10757/669068/2/license_rdf934f4ca17e109e0a05eaeaba504d7ce4MD52falseORIGINAL20220428061918674.pdf20220428061918674.pdfapplication/pdf2415458https://repositorioacademico.upc.edu.pe/bitstream/10757/669068/1/20220428061918674.pdf2ff81e204b67c38818ccd616670284b7MD51true10757/669068oai:repositorioacademico.upc.edu.pe:10757/6690682023-10-24 03:33:22.558Repositorio académico upcupc@openrepository.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
score 13.971837
Nota importante:
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).