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DC Field | Value | Language |
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dc.contributor.author | Sampaio, Henrique César | - |
dc.contributor.author | Dias, Rubens Alves | - |
dc.contributor.author | Balestieri, José Antônio Perrella | - |
dc.date.accessioned | 2014-05-27T11:28:44Z | - |
dc.date.accessioned | 2016-10-25T18:45:58Z | - |
dc.date.available | 2014-05-27T11:28:44Z | - |
dc.date.available | 2016-10-25T18:45:58Z | - |
dc.date.issued | 2013-04-01 | - |
dc.identifier | http://dx.doi.org/10.1016/j.apenergy.2012.12.022 | - |
dc.identifier.citation | Applied Energy, v. 104, p. 924-935. | - |
dc.identifier.issn | 0306-2619 | - |
dc.identifier.uri | http://hdl.handle.net/11449/74910 | - |
dc.identifier.uri | http://acervodigital.unesp.br/handle/11449/74910 | - |
dc.description.abstract | The urbanization of modern societies has imposed to the planners and decision-makers a more precise attention to facts not considered before. Several aspects, such as the energy availability and the deleterious effect of pollution on the populations, must be considered in the policy decisions of cities urbanization. The current paradigm presents centralized power stations supplying a city, and a combination of technologies may compose the energy mix of a country, such as thermal power plants, hydroelectric plants, wind systems and solar-based systems, with their corresponding emission pattern. A goal programming multi-objective optimization model is presented for the electric expansion analysis of a tropical city, and also a case study for the city of Guaratinguetá, Brazil, considering a particular wind and solar radiation patterns established according to actual data and modeled via the time series analysis method. Scenarios are proposed and the results of single environmental objective, single economic objective and goal programming multi-objective modeling are discussed. The consequences of each dispatch decision, which considers pollutant emission exportation to the neighborhood or the need of supplementing electricity by purchasing it from the public electric power grid, are discussed. The results revealed energetic dispatch for the alternatives studied and the optimum environmental and economic solution was obtained. © 2012 Elsevier Ltd. | en |
dc.format.extent | 924-935 | - |
dc.language.iso | eng | - |
dc.source | Scopus | - |
dc.subject | Cities | - |
dc.subject | Energy policy | - |
dc.subject | Integrated resources planning | - |
dc.subject | Optimization modeling | - |
dc.subject | Decision makers | - |
dc.subject | Deleterious effects | - |
dc.subject | Economic objectives | - |
dc.subject | Economic solutions | - |
dc.subject | Electric power grids | - |
dc.subject | Emission pattern | - |
dc.subject | Energy availability | - |
dc.subject | Energy mix | - |
dc.subject | Environmental objectives | - |
dc.subject | Goal programming | - |
dc.subject | Hydroelectric plant | - |
dc.subject | Multi objective | - |
dc.subject | Multi-objective optimization models | - |
dc.subject | Policy decisions | - |
dc.subject | Pollutant emission | - |
dc.subject | Power station | - |
dc.subject | Series analysis | - |
dc.subject | Thermal power plants | - |
dc.subject | Urban energy planning | - |
dc.subject | Wind systems | - |
dc.subject | Multiobjective optimization | - |
dc.subject | Pollution | - |
dc.subject | Sun | - |
dc.subject | Thermoelectric power plants | - |
dc.subject | Time series analysis | - |
dc.subject | Solar energy | - |
dc.subject | decision making | - |
dc.subject | emission inventory | - |
dc.subject | energy planning | - |
dc.subject | energy policy | - |
dc.subject | hydroelectric power | - |
dc.subject | integrated approach | - |
dc.subject | optimization | - |
dc.subject | power plant | - |
dc.subject | resource management | - |
dc.subject | solar power | - |
dc.subject | solar radiation | - |
dc.subject | sustainable development | - |
dc.subject | thermal power | - |
dc.subject | tropical environment | - |
dc.subject | urban planning | - |
dc.subject | urbanization | - |
dc.subject | wind profile | - |
dc.subject | Brazil | - |
dc.subject | Guaratingueta | - |
dc.subject | Sao Paulo [Brazil] | - |
dc.title | Sustainable urban energy planning: The case study of a tropical city | en |
dc.type | outro | - |
dc.contributor.institution | Centro Universitário Salesiano de São Paulo | - |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | - |
dc.description.affiliation | UNISAL Centro Universitário Salesiano de São Paulo, Rua Dom Bosco, 284, 12.600.100 Lorena, SP | - |
dc.description.affiliation | UNESP Univ Estadual Paulista, Av. Ariberto Pereira da Cunha, 333, 12.516.410 Guaratinguetá, SP | - |
dc.description.affiliationUnesp | UNESP Univ Estadual Paulista, Av. Ariberto Pereira da Cunha, 333, 12.516.410 Guaratinguetá, SP | - |
dc.identifier.doi | 10.1016/j.apenergy.2012.12.022 | - |
dc.identifier.wos | WOS:000316152700090 | - |
dc.rights.accessRights | Acesso restrito | - |
dc.relation.ispartof | Applied Energy | - |
dc.identifier.scopus | 2-s2.0-84872229828 | - |
Appears in Collections: | Artigos, TCCs, Teses e Dissertações da Unesp |
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