Treffer: Expansion of isolated electrical systems in the Amazon: An approach using fuzzy multi-objective mathematical programming

Title:
Expansion of isolated electrical systems in the Amazon: An approach using fuzzy multi-objective mathematical programming
Authors:
BITAR, Sandro D. B, DA COSTA, Carlos T, BARREIROS, José A. L, DO L. NETO, Joao C
Source:
Energy policy. 37(10):3899-3905
Publisher Information:
Kidlington: Elsevier, 2009.
Publication Year:
2009
Physical Description:
print, 1/4 p
Original Material:
INIST-CNRS
Subject Terms:
Energy, Énergie, Environment, Environnement, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Energie, Energy, Etudes générales, économiques et professionnelles, General, economic and professional studies, Economie de l'énergie, Energy economics, Méthodologie. Modélisation, Methodology. Modelling, Données économiques, Economic data, Energie électrique, Electric energy, Analyse coût, Cost analysis, Análisis costo, Dioxyde de carbone, Carbon dioxide, Carbono dióxido, Emission polluant, Pollutant emission, Emisión contaminante, Emploi, Employment, Empleo, Etude socioéconomique, Socioeconomic study, Estudio socioeconómico, Extension, Extensión, Production autonome énergie, On site energy production, Producción autónoma energía, Production énergie électrique, Electric power production, Producción energía eléctrica, Programmation floue, Fuzzy programming, Programación difusa, Programmation mathématique, Mathematical programming, Programación matemática, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Réseau autonome, Isolated power system, Red autónoma, Scénario, Script, Argumento, Simulation, Simulación, Stratégie optimale, Optimal strategy, Estrategia optima, Système aide décision, Decision support system, Sistema ayuda decisíon, Système énergétique, Energetic system, Sistema energético, Transport énergie électrique, Electric energy transportation, Transporte energía eléctrica, Environmental and social impacts, Expansion of electrical systems, Fuzzy multiobjective programming
Subject Geographic:
Amérique du Sud, South America, America del sur, Amérique, America, Bassin Amazone, Amazon Basin, Cuenca Amazonas, Brésil, Brazil, Brasil
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Group of Optimization and Fuzzy Systems, Department of Mathematics, Federal University of Amazonas, General Rodrigo Octávio Jordão Ramos Avenue, 3000, Academic Campus, 69077-000 Manaus, Amazonas, Brazil
Postgraduate Program in Electrical Engineering, Institute of Technology, Federal University of Pará, Augusto Corrêa Street, 1, Guamá, 66075-110 Belém, Pará, Brazil
ISSN:
0301-4215
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=22013841
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Energy
Accession Number:
edscal.22013841
Database:
PASCAL Archive

Weitere Informationen

This paper examines some problems encountered in the expansion of isolated electrical systems (IES) in the Amazon region, more precisely, the thermoelectric systems used in that region. Supposing a certain degree of uncertainty in energy consumption, we evaluate the expansion of thermoelectric power from firewood and diesel fuel, together with variations for costs, CO2 emissions, and number of direct jobs (NDJ) generated with the use of these technologies. The analysis is accomplished by using fuzzy multiobjective mathematical programming, and interpreting each objective function both by itself and in combination with the others, through a fuzzy multi-objective parametrization. The scenarios are defined by the energy consumption percentage increase, limited to be below some admissible maximum value, while still considering variations in the installed power. The costs, CO2 emission, and the NDJ generated are analyzed and compared with the largest values obtained with the model of crisp mathematical programming, used for the original configuration. Finally, in Section 4, we present the results and respective analyses for the finished simulation.