Analysis of economic viability with the use of monte carlo simulation for microgeneration of photovoltaic energy

Detalhes bibliográficos
Autor(a) principal: Lammoglia, José Antonio de Miranda
Data de Publicação: 2019
Outros Autores: Brandalise, Nilson
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Independent Journal of Management & Production
Texto Completo: http://www.ijmp.jor.br/index.php/ijmp/article/view/876
Resumo: A series of public policies are being adopted worldwide to seek greater participation of renewable energy sources in the energy matrix. Brazil is a country that has a predominantly renewable energy source, with hydroelectric energy being responsible for the largest portion, but with enormous potential to be exploited for solar energy. The objective of this study was to carry out an analysis of the economic viability of a photovoltaic matrix in the distributed microgeneration model from the residential consumer perspective. Through the Monte Carlo simulation, 10.000 iterations were performed and the NPV was calculated in each of them, then counted to recover the corresponding output probability distribution and verified the NPV probability to be greater than zero. The developed method has proved to be a reliable tool to support decision making and can be applied to several scenarios. The scenario adopted for the design of the photovoltaic system presented a 95.2% probability of returning with an NPV above zero and this makes it economically feasible. The main contribution of this paper is the replicability of the methodology used for other economic analysis studies.
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spelling Analysis of economic viability with the use of monte carlo simulation for microgeneration of photovoltaic energyphotovoltaicmicrogenerationeconomic viabilityMonte Carlo simulationA series of public policies are being adopted worldwide to seek greater participation of renewable energy sources in the energy matrix. Brazil is a country that has a predominantly renewable energy source, with hydroelectric energy being responsible for the largest portion, but with enormous potential to be exploited for solar energy. The objective of this study was to carry out an analysis of the economic viability of a photovoltaic matrix in the distributed microgeneration model from the residential consumer perspective. Through the Monte Carlo simulation, 10.000 iterations were performed and the NPV was calculated in each of them, then counted to recover the corresponding output probability distribution and verified the NPV probability to be greater than zero. The developed method has proved to be a reliable tool to support decision making and can be applied to several scenarios. The scenario adopted for the design of the photovoltaic system presented a 95.2% probability of returning with an NPV above zero and this makes it economically feasible. The main contribution of this paper is the replicability of the methodology used for other economic analysis studies.Independent2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://www.ijmp.jor.br/index.php/ijmp/article/view/87610.14807/ijmp.v10i3.876Independent Journal of Management & Production; Vol. 10 No. 3 (2019): Independent Journal of Management & Production; 1000-10142236-269X2236-269Xreponame:Independent Journal of Management & Productioninstname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)instacron:IJM&Penghttp://www.ijmp.jor.br/index.php/ijmp/article/view/876/1033http://www.ijmp.jor.br/index.php/ijmp/article/view/876/1047Copyright (c) 2019 José Antonio de Miranda Lammoglia, Nilson Brandaliseinfo:eu-repo/semantics/openAccessLammoglia, José Antonio de MirandaBrandalise, Nilson2019-11-01T03:22:16Zoai:www.ijmp.jor.br:article/876Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2019-11-01T03:22:16Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false
dc.title.none.fl_str_mv Analysis of economic viability with the use of monte carlo simulation for microgeneration of photovoltaic energy
title Analysis of economic viability with the use of monte carlo simulation for microgeneration of photovoltaic energy
spellingShingle Analysis of economic viability with the use of monte carlo simulation for microgeneration of photovoltaic energy
Lammoglia, José Antonio de Miranda
photovoltaic
microgeneration
economic viability
Monte Carlo simulation
title_short Analysis of economic viability with the use of monte carlo simulation for microgeneration of photovoltaic energy
title_full Analysis of economic viability with the use of monte carlo simulation for microgeneration of photovoltaic energy
title_fullStr Analysis of economic viability with the use of monte carlo simulation for microgeneration of photovoltaic energy
title_full_unstemmed Analysis of economic viability with the use of monte carlo simulation for microgeneration of photovoltaic energy
title_sort Analysis of economic viability with the use of monte carlo simulation for microgeneration of photovoltaic energy
author Lammoglia, José Antonio de Miranda
author_facet Lammoglia, José Antonio de Miranda
Brandalise, Nilson
author_role author
author2 Brandalise, Nilson
author2_role author
dc.contributor.author.fl_str_mv Lammoglia, José Antonio de Miranda
Brandalise, Nilson
dc.subject.por.fl_str_mv photovoltaic
microgeneration
economic viability
Monte Carlo simulation
topic photovoltaic
microgeneration
economic viability
Monte Carlo simulation
description A series of public policies are being adopted worldwide to seek greater participation of renewable energy sources in the energy matrix. Brazil is a country that has a predominantly renewable energy source, with hydroelectric energy being responsible for the largest portion, but with enormous potential to be exploited for solar energy. The objective of this study was to carry out an analysis of the economic viability of a photovoltaic matrix in the distributed microgeneration model from the residential consumer perspective. Through the Monte Carlo simulation, 10.000 iterations were performed and the NPV was calculated in each of them, then counted to recover the corresponding output probability distribution and verified the NPV probability to be greater than zero. The developed method has proved to be a reliable tool to support decision making and can be applied to several scenarios. The scenario adopted for the design of the photovoltaic system presented a 95.2% probability of returning with an NPV above zero and this makes it economically feasible. The main contribution of this paper is the replicability of the methodology used for other economic analysis studies.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/876
10.14807/ijmp.v10i3.876
url http://www.ijmp.jor.br/index.php/ijmp/article/view/876
identifier_str_mv 10.14807/ijmp.v10i3.876
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/876/1033
http://www.ijmp.jor.br/index.php/ijmp/article/view/876/1047
dc.rights.driver.fl_str_mv Copyright (c) 2019 José Antonio de Miranda Lammoglia, Nilson Brandalise
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 José Antonio de Miranda Lammoglia, Nilson Brandalise
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Independent
publisher.none.fl_str_mv Independent
dc.source.none.fl_str_mv Independent Journal of Management & Production; Vol. 10 No. 3 (2019): Independent Journal of Management & Production; 1000-1014
2236-269X
2236-269X
reponame:Independent Journal of Management & Production
instname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P
instname_str Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron_str IJM&P
institution IJM&P
reponame_str Independent Journal of Management & Production
collection Independent Journal of Management & Production
repository.name.fl_str_mv Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
repository.mail.fl_str_mv ijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||
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