Optimization model for environmental impact of energy systems
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/232417 |
Resumo: | As a consequence of the population centralization during the last decades, result of an intense urbanization process, a lot of areas in the world have been suffering several problems. The social and environmental problems consequent to the urbanization can be expressed by the high taxes of production of solid wastes and a necessary treatment of the liquid wastes that occupy huge areas and represent significant impacts for the environment. The cities, considered as the cells of a country, demand an analysis of energy planning from a specific methodological approach, for the electricity in public illumination, services, industrial and residential demands, besides the transportation uses, which results in direct and indirect way high indexes of pollutant emissions. In this article, the main characteristics of an energy planning system are analyzed for cities of small and medium sizes, as well as the possible available energy contributions for the service of those demands; a model based on optimization programming is proposed for selecting the most environmentally attractive electric generating systems to be considered for the city's energy demand. |
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Optimization model for environmental impact of energy systemsCitiesEnergyEnvironmentOptimizationSocial and political aspectsSystemsAs a consequence of the population centralization during the last decades, result of an intense urbanization process, a lot of areas in the world have been suffering several problems. The social and environmental problems consequent to the urbanization can be expressed by the high taxes of production of solid wastes and a necessary treatment of the liquid wastes that occupy huge areas and represent significant impacts for the environment. The cities, considered as the cells of a country, demand an analysis of energy planning from a specific methodological approach, for the electricity in public illumination, services, industrial and residential demands, besides the transportation uses, which results in direct and indirect way high indexes of pollutant emissions. In this article, the main characteristics of an energy planning system are analyzed for cities of small and medium sizes, as well as the possible available energy contributions for the service of those demands; a model based on optimization programming is proposed for selecting the most environmentally attractive electric generating systems to be considered for the city's energy demand.São Paulo State University, FEG/UNESP/DENSão Paulo State University, FEG/UNESP/DENUniversidade Estadual Paulista (UNESP)Sampaio, Henrique Cesar [UNESP]Dias, Rubens Alves [UNESP]Balestieri, Jose Antonio Perrella [UNESP]2022-04-29T15:50:16Z2022-04-29T15:50:16Z2007-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject701-708ECOS 2007 - Proceedings of the 20th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, v. 1, p. 701-708.http://hdl.handle.net/11449/2324172-s2.0-84930974037Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengECOS 2007 - Proceedings of the 20th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systemsinfo:eu-repo/semantics/openAccess2024-07-01T19:30:12Zoai:repositorio.unesp.br:11449/232417Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:57:28.547254Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Optimization model for environmental impact of energy systems |
title |
Optimization model for environmental impact of energy systems |
spellingShingle |
Optimization model for environmental impact of energy systems Sampaio, Henrique Cesar [UNESP] Cities Energy Environment Optimization Social and political aspects Systems |
title_short |
Optimization model for environmental impact of energy systems |
title_full |
Optimization model for environmental impact of energy systems |
title_fullStr |
Optimization model for environmental impact of energy systems |
title_full_unstemmed |
Optimization model for environmental impact of energy systems |
title_sort |
Optimization model for environmental impact of energy systems |
author |
Sampaio, Henrique Cesar [UNESP] |
author_facet |
Sampaio, Henrique Cesar [UNESP] Dias, Rubens Alves [UNESP] Balestieri, Jose Antonio Perrella [UNESP] |
author_role |
author |
author2 |
Dias, Rubens Alves [UNESP] Balestieri, Jose Antonio Perrella [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Sampaio, Henrique Cesar [UNESP] Dias, Rubens Alves [UNESP] Balestieri, Jose Antonio Perrella [UNESP] |
dc.subject.por.fl_str_mv |
Cities Energy Environment Optimization Social and political aspects Systems |
topic |
Cities Energy Environment Optimization Social and political aspects Systems |
description |
As a consequence of the population centralization during the last decades, result of an intense urbanization process, a lot of areas in the world have been suffering several problems. The social and environmental problems consequent to the urbanization can be expressed by the high taxes of production of solid wastes and a necessary treatment of the liquid wastes that occupy huge areas and represent significant impacts for the environment. The cities, considered as the cells of a country, demand an analysis of energy planning from a specific methodological approach, for the electricity in public illumination, services, industrial and residential demands, besides the transportation uses, which results in direct and indirect way high indexes of pollutant emissions. In this article, the main characteristics of an energy planning system are analyzed for cities of small and medium sizes, as well as the possible available energy contributions for the service of those demands; a model based on optimization programming is proposed for selecting the most environmentally attractive electric generating systems to be considered for the city's energy demand. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-01-01 2022-04-29T15:50:16Z 2022-04-29T15:50:16Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
ECOS 2007 - Proceedings of the 20th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, v. 1, p. 701-708. http://hdl.handle.net/11449/232417 2-s2.0-84930974037 |
identifier_str_mv |
ECOS 2007 - Proceedings of the 20th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, v. 1, p. 701-708. 2-s2.0-84930974037 |
url |
http://hdl.handle.net/11449/232417 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
ECOS 2007 - Proceedings of the 20th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
701-708 |
dc.source.none.fl_str_mv |
Scopus 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 |
|
_version_ |
1808128878909063168 |