Determination of optimal rates for electricity generation to the interconnected system from biomass waste, using the retscreen software and applications of the befs rapid apraisal project of the United Nations for agriculture and food.

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Peru has a surface of 82’369,713 hectares of forestry suitability, 7’600,000 hectares with agriculture farming capacity and a biomass potential for energy generation estimated in 272 million annual metric tons [2]. For energy generation scope, there are four categories: bioenergy crops, agriculture...

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Detalles Bibliográficos
Autores: Delgado Acevedo, Aldo Max, García Bustamante, Henry, Orbegozo Reto, Carlos, Orrego Moya, Roxana, Aragón Palacios, María
Formato: artículo
Fecha de Publicación:2014
Institución:Universidad Nacional de Ingeniería
Repositorio:Revistas - Universidad Nacional de Ingeniería
Lenguaje:español
OAI Identifier:oai:oai:revistas.uni.edu.pe:article/27
Enlace del recurso:https://revistas.uni.edu.pe/index.php/tecnia/article/view/27
Nivel de acceso:acceso abierto
Materia:energía renovable
biomasa
bioenergía
proyectos de biomasa
renewable energy
biomass
bioenergy
biomass projects
id REVUNI_84af86c17f8f73bd1d64e5322543fdc0
oai_identifier_str oai:oai:revistas.uni.edu.pe:article/27
network_acronym_str REVUNI
network_name_str Revistas - Universidad Nacional de Ingeniería
repository_id_str
dc.title.none.fl_str_mv Determination of optimal rates for electricity generation to the interconnected system from biomass waste, using the retscreen software and applications of the befs rapid apraisal project of the United Nations for agriculture and food.
Determinación de tarifas óptimas para generación de electricidad al sistema interconectado a partir de residuos de biomasa, utilizando el software retscreen y aplicativos del proyecto befs rapid apraisal de naciones unidas para la agricultura y la alimentación
title Determination of optimal rates for electricity generation to the interconnected system from biomass waste, using the retscreen software and applications of the befs rapid apraisal project of the United Nations for agriculture and food.
spellingShingle Determination of optimal rates for electricity generation to the interconnected system from biomass waste, using the retscreen software and applications of the befs rapid apraisal project of the United Nations for agriculture and food.
Delgado Acevedo, Aldo Max
energía renovable
biomasa
bioenergía
proyectos de biomasa
renewable energy
biomass
bioenergy
biomass projects
title_short Determination of optimal rates for electricity generation to the interconnected system from biomass waste, using the retscreen software and applications of the befs rapid apraisal project of the United Nations for agriculture and food.
title_full Determination of optimal rates for electricity generation to the interconnected system from biomass waste, using the retscreen software and applications of the befs rapid apraisal project of the United Nations for agriculture and food.
title_fullStr Determination of optimal rates for electricity generation to the interconnected system from biomass waste, using the retscreen software and applications of the befs rapid apraisal project of the United Nations for agriculture and food.
title_full_unstemmed Determination of optimal rates for electricity generation to the interconnected system from biomass waste, using the retscreen software and applications of the befs rapid apraisal project of the United Nations for agriculture and food.
title_sort Determination of optimal rates for electricity generation to the interconnected system from biomass waste, using the retscreen software and applications of the befs rapid apraisal project of the United Nations for agriculture and food.
dc.creator.none.fl_str_mv Delgado Acevedo, Aldo Max
García Bustamante, Henry
Orbegozo Reto, Carlos
Orrego Moya, Roxana
Aragón Palacios, María
author Delgado Acevedo, Aldo Max
author_facet Delgado Acevedo, Aldo Max
García Bustamante, Henry
Orbegozo Reto, Carlos
Orrego Moya, Roxana
Aragón Palacios, María
author_role author
author2 García Bustamante, Henry
Orbegozo Reto, Carlos
Orrego Moya, Roxana
Aragón Palacios, María
author2_role author
author
author
author
dc.subject.none.fl_str_mv energía renovable
biomasa
bioenergía
proyectos de biomasa
renewable energy
biomass
bioenergy
biomass projects
topic energía renovable
biomasa
bioenergía
proyectos de biomasa
renewable energy
biomass
bioenergy
biomass projects
description Peru has a surface of 82’369,713 hectares of forestry suitability, 7’600,000 hectares with agriculture farming capacity and a biomass potential for energy generation estimated in 272 million annual metric tons [2]. For energy generation scope, there are four categories: bioenergy crops, agriculture waste, livestock waste and urban solid waste. Gasification technology would be more convenient for the scope of the study. Assessing the theoretical potential of energy generation with biomass for grid connection, the result was the identification of two sources: Rice (Cajamarca, Lambayeque and Piura) and sugar cane (Lambayeque, Piura and Lima).With the aim to design the energy demand, the Electricity Referential Plan 2008 – 2017 was used as base document. The considered assumptions were the following: Medium growth scenario: Annual growth rate 7.55%; Optimist growth scenario: Annual growth rate 8.7%; Conservative growth scenario: Annual growth rate 6.36%. In order to determine the energy potential by regions disaggregated by projects, it was used the application FAO BEFS Rapid Appraisal and the software RETScreen. From the 17 analyzed projects, the tools calculated that only four could be part of a viable Project portfolio: Agroindustria Paramonga, Agroindustria Caña Brava, Huaycoloro Landfill and Gran Mercado Mayorista de Lima (Santa Anita). The main barrier found is that the top tariffs established by the Government in the last bids are even near to the optimum tariffs analyzed in this study.  
publishDate 2014
dc.date.none.fl_str_mv 2014-12-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artículo evaluado por pares
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uni.edu.pe/index.php/tecnia/article/view/27
10.21754/tecnia.v24i2.27
url https://revistas.uni.edu.pe/index.php/tecnia/article/view/27
identifier_str_mv 10.21754/tecnia.v24i2.27
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uni.edu.pe/index.php/tecnia/article/view/27/15
dc.rights.none.fl_str_mv Derechos de autor 2014 TECNIA
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2014 TECNIA
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de Ingeniería
publisher.none.fl_str_mv Universidad Nacional de Ingeniería
dc.source.none.fl_str_mv TECNIA; Vol. 24 No. 2 (2014); 13
TECNIA; Vol. 24 Núm. 2 (2014); 13
2309-0413
0375-7765
reponame:Revistas - Universidad Nacional de Ingeniería
instname:Universidad Nacional de Ingeniería
instacron:UNI
instname_str Universidad Nacional de Ingeniería
instacron_str UNI
institution UNI
reponame_str Revistas - Universidad Nacional de Ingeniería
collection Revistas - Universidad Nacional de Ingeniería
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Determination of optimal rates for electricity generation to the interconnected system from biomass waste, using the retscreen software and applications of the befs rapid apraisal project of the United Nations for agriculture and food.Determinación de tarifas óptimas para generación de electricidad al sistema interconectado a partir de residuos de biomasa, utilizando el software retscreen y aplicativos del proyecto befs rapid apraisal de naciones unidas para la agricultura y la alimentación Delgado Acevedo, Aldo MaxGarcía Bustamante, HenryOrbegozo Reto, CarlosOrrego Moya, RoxanaAragón Palacios, Maríaenergía renovablebiomasabioenergíaproyectos de biomasarenewable energybiomassbioenergybiomass projectsPeru has a surface of 82’369,713 hectares of forestry suitability, 7’600,000 hectares with agriculture farming capacity and a biomass potential for energy generation estimated in 272 million annual metric tons [2]. For energy generation scope, there are four categories: bioenergy crops, agriculture waste, livestock waste and urban solid waste. Gasification technology would be more convenient for the scope of the study. Assessing the theoretical potential of energy generation with biomass for grid connection, the result was the identification of two sources: Rice (Cajamarca, Lambayeque and Piura) and sugar cane (Lambayeque, Piura and Lima).With the aim to design the energy demand, the Electricity Referential Plan 2008 – 2017 was used as base document. The considered assumptions were the following: Medium growth scenario: Annual growth rate 7.55%; Optimist growth scenario: Annual growth rate 8.7%; Conservative growth scenario: Annual growth rate 6.36%. In order to determine the energy potential by regions disaggregated by projects, it was used the application FAO BEFS Rapid Appraisal and the software RETScreen. From the 17 analyzed projects, the tools calculated that only four could be part of a viable Project portfolio: Agroindustria Paramonga, Agroindustria Caña Brava, Huaycoloro Landfill and Gran Mercado Mayorista de Lima (Santa Anita). The main barrier found is that the top tariffs established by the Government in the last bids are even near to the optimum tariffs analyzed in this study.  El Perú cuenta con una extensión de 82‘369, 713 hectáreas de aptitud forestal, 7’600,000 con capacidad para los cultivos agrícolas y un potencial de biomasa para la producción de energía estimado en 272 millones de toneladas métricas anuales [2]. Para fines energéticos, existen cuatro categorías: plantaciones bioenergéticas, residuos agrícolas, bostas de ganado y residuos sólidos urbanos. La tecnología de gasificación sería la más conveniente para los fines del estudio. Evaluando el potencial teórico de generación eléctrica con biomasa que se pueda interconectar a la red, se obtuvo como resultado dos fuentes: arroz (Cajamarca, Lambayeque y Piura) y caña de azúcar (Lambayeque, Piura y Lima). Con el fin de proyectar la demanda, se tomó como guía el Plan Referencial de Electricidad 2008 - 2017. Los supuestos considerados son los siguientes: Escenario de Crecimiento Medio: Tasa de crecimiento Anual 7.55%; Escenario de Crecimiento Optimista: Tasa de crecimiento Anual 8.7%; Escenario de Crecimiento Conservador: Tasa de crecimiento Anual 6.36%. Para determinar el Potencial Energético por Regiones desagregado por proyectos, se utilizó el aplicativo FAO BEFS Rapid Apraisal y el software RETScreen. De los 17 proyectos analizados, las herramientas calcularon que solamente cuatro podrían ser parte de una cartera de proyectos viables: Agroindustria Paramonga, Agroindustria Caña Brava, Relleno Sanitario Huaycoloro y Gran Mercado Mayorista de Lima (Santa Anita). La principal barrera que se ha encontrado es que las tarifas tope que ha establecido el Gobierno en las últimas subastas de proyectos para generación con energías renovables, no llega siquiera a estar próxima a las tarifas optimas analizadas en este estudio. Universidad Nacional de Ingeniería2014-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículo evaluado por paresapplication/pdfhttps://revistas.uni.edu.pe/index.php/tecnia/article/view/2710.21754/tecnia.v24i2.27TECNIA; Vol. 24 No. 2 (2014); 13TECNIA; Vol. 24 Núm. 2 (2014); 132309-04130375-7765reponame:Revistas - Universidad Nacional de Ingenieríainstname:Universidad Nacional de Ingenieríainstacron:UNIspahttps://revistas.uni.edu.pe/index.php/tecnia/article/view/27/15Derechos de autor 2014 TECNIAhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:oai:revistas.uni.edu.pe:article/272023-12-06T15:50:47Z
score 13.754011
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