WOOD GASIFICATION ENERGY MICRO-GENERATION SYSTEM IN BRAZIL- A MONTE CARLO VIABILITY SIMULATION

Detalhes bibliográficos
Autor(a) principal: Prates, Glaucia Aparecida [UNESP]
Data de Publicação: 2018
Outros Autores: Schaitza, Erich Gomes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.14807/ijmp.v9i1.678
http://hdl.handle.net/11449/164440
Resumo: The penetration of renewable energy into the electricity supply in Brazil is high, one of the highest in the World. Centralized hydroelectric generation is the main source of energy, followed by biomass and wind. Surprisingly, mini and micro-generation are negligible, with less than 2,000 connections to the national grid. In 2015, a new regulatory framework was put in place to change this situation. In the agricultural sector, the framework was complemented by the offer of low interest rate loans to in-farm renewable generation. Brazil proposed to more than double its area of planted forests as part of its INDC-Intended Nationally Determined Contributions to the UNFCCC-U.N. Framework Convention on Climate Change (UNFCCC). This is an ambitious target which will be achieved only if forests are attractive to farmers. Therefore, this paper analyses whether planting forests for in-farm energy generation with a with a woodchip gasifier is economically viable for microgeneration under the new framework and at if they could be an economic driver for forest plantation. At first, a static case was analyzed with data from Eucalyptus plantations in five farms. Then, a broader analysis developed with the use of Monte Carlo technique. Planting short rotation forests to generate energy could be a viable alternative and the low interest loans contribute to that. There are some barriers to such systems such as the inexistence of a mature market for small scale equipment and of a reference network of good practices and examples.
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spelling WOOD GASIFICATION ENERGY MICRO-GENERATION SYSTEM IN BRAZIL- A MONTE CARLO VIABILITY SIMULATIONBiomassdistributed generationsmall-scaleMonte CarloThe penetration of renewable energy into the electricity supply in Brazil is high, one of the highest in the World. Centralized hydroelectric generation is the main source of energy, followed by biomass and wind. Surprisingly, mini and micro-generation are negligible, with less than 2,000 connections to the national grid. In 2015, a new regulatory framework was put in place to change this situation. In the agricultural sector, the framework was complemented by the offer of low interest rate loans to in-farm renewable generation. Brazil proposed to more than double its area of planted forests as part of its INDC-Intended Nationally Determined Contributions to the UNFCCC-U.N. Framework Convention on Climate Change (UNFCCC). This is an ambitious target which will be achieved only if forests are attractive to farmers. Therefore, this paper analyses whether planting forests for in-farm energy generation with a with a woodchip gasifier is economically viable for microgeneration under the new framework and at if they could be an economic driver for forest plantation. At first, a static case was analyzed with data from Eucalyptus plantations in five farms. Then, a broader analysis developed with the use of Monte Carlo technique. Planting short rotation forests to generate energy could be a viable alternative and the low interest loans contribute to that. There are some barriers to such systems such as the inexistence of a mature market for small scale equipment and of a reference network of good practices and examples.UNESP Sao Paulo State Univ, Campus Itapeva, Itapeva, SP, BrazilEMBRAPA Floresta Colombo, Colombo, PR, BrazilUNESP Sao Paulo State Univ, Campus Itapeva, Itapeva, SP, BrazilInst Federal Educacao, Ciencia & Tecnologia Sao PauloUniversidade Estadual Paulista (Unesp)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Prates, Glaucia Aparecida [UNESP]Schaitza, Erich Gomes2018-11-26T17:54:34Z2018-11-26T17:54:34Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article140-152application/pdfhttp://dx.doi.org/10.14807/ijmp.v9i1.678Independent Journal Of Management & Production. Sao Paulo: Inst Federal Educacao, Ciencia & Tecnologia Sao Paulo, v. 9, n. 1, p. 140-152, 2018.2236-269Xhttp://hdl.handle.net/11449/16444010.14807/ijmp.v9i1.678WOS:000439137900009WOS000439137900009.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIndependent Journal Of Management & Productioninfo:eu-repo/semantics/openAccess2024-01-19T06:28:18Zoai:repositorio.unesp.br:11449/164440Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-01-19T06:28:18Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv WOOD GASIFICATION ENERGY MICRO-GENERATION SYSTEM IN BRAZIL- A MONTE CARLO VIABILITY SIMULATION
title WOOD GASIFICATION ENERGY MICRO-GENERATION SYSTEM IN BRAZIL- A MONTE CARLO VIABILITY SIMULATION
spellingShingle WOOD GASIFICATION ENERGY MICRO-GENERATION SYSTEM IN BRAZIL- A MONTE CARLO VIABILITY SIMULATION
Prates, Glaucia Aparecida [UNESP]
Biomass
distributed generation
small-scale
Monte Carlo
title_short WOOD GASIFICATION ENERGY MICRO-GENERATION SYSTEM IN BRAZIL- A MONTE CARLO VIABILITY SIMULATION
title_full WOOD GASIFICATION ENERGY MICRO-GENERATION SYSTEM IN BRAZIL- A MONTE CARLO VIABILITY SIMULATION
title_fullStr WOOD GASIFICATION ENERGY MICRO-GENERATION SYSTEM IN BRAZIL- A MONTE CARLO VIABILITY SIMULATION
title_full_unstemmed WOOD GASIFICATION ENERGY MICRO-GENERATION SYSTEM IN BRAZIL- A MONTE CARLO VIABILITY SIMULATION
title_sort WOOD GASIFICATION ENERGY MICRO-GENERATION SYSTEM IN BRAZIL- A MONTE CARLO VIABILITY SIMULATION
author Prates, Glaucia Aparecida [UNESP]
author_facet Prates, Glaucia Aparecida [UNESP]
Schaitza, Erich Gomes
author_role author
author2 Schaitza, Erich Gomes
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.author.fl_str_mv Prates, Glaucia Aparecida [UNESP]
Schaitza, Erich Gomes
dc.subject.por.fl_str_mv Biomass
distributed generation
small-scale
Monte Carlo
topic Biomass
distributed generation
small-scale
Monte Carlo
description The penetration of renewable energy into the electricity supply in Brazil is high, one of the highest in the World. Centralized hydroelectric generation is the main source of energy, followed by biomass and wind. Surprisingly, mini and micro-generation are negligible, with less than 2,000 connections to the national grid. In 2015, a new regulatory framework was put in place to change this situation. In the agricultural sector, the framework was complemented by the offer of low interest rate loans to in-farm renewable generation. Brazil proposed to more than double its area of planted forests as part of its INDC-Intended Nationally Determined Contributions to the UNFCCC-U.N. Framework Convention on Climate Change (UNFCCC). This is an ambitious target which will be achieved only if forests are attractive to farmers. Therefore, this paper analyses whether planting forests for in-farm energy generation with a with a woodchip gasifier is economically viable for microgeneration under the new framework and at if they could be an economic driver for forest plantation. At first, a static case was analyzed with data from Eucalyptus plantations in five farms. Then, a broader analysis developed with the use of Monte Carlo technique. Planting short rotation forests to generate energy could be a viable alternative and the low interest loans contribute to that. There are some barriers to such systems such as the inexistence of a mature market for small scale equipment and of a reference network of good practices and examples.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-26T17:54:34Z
2018-11-26T17:54:34Z
2018-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.14807/ijmp.v9i1.678
Independent Journal Of Management & Production. Sao Paulo: Inst Federal Educacao, Ciencia & Tecnologia Sao Paulo, v. 9, n. 1, p. 140-152, 2018.
2236-269X
http://hdl.handle.net/11449/164440
10.14807/ijmp.v9i1.678
WOS:000439137900009
WOS000439137900009.pdf
url http://dx.doi.org/10.14807/ijmp.v9i1.678
http://hdl.handle.net/11449/164440
identifier_str_mv Independent Journal Of Management & Production. Sao Paulo: Inst Federal Educacao, Ciencia & Tecnologia Sao Paulo, v. 9, n. 1, p. 140-152, 2018.
2236-269X
10.14807/ijmp.v9i1.678
WOS:000439137900009
WOS000439137900009.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Independent Journal Of Management & Production
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 140-152
application/pdf
dc.publisher.none.fl_str_mv Inst Federal Educacao, Ciencia & Tecnologia Sao Paulo
publisher.none.fl_str_mv Inst Federal Educacao, Ciencia & Tecnologia Sao Paulo
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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