Treffer: Multi-objective optimization of an advanced combined cycle power plant including CO2 separation options

Title:
Multi-objective optimization of an advanced combined cycle power plant including CO2 separation options
Authors:
HONGTAO LI, MARECHAL, Francois, BURER, Meinrad, FAVRAT, Daniel
Source:
17th International conference on efficiency, costs, optimization, simulation, and environmental impact of energy on process systems, Guanajuato City, July 7-9, 2004Energy (Oxford). 31(15):3117-3134
Publisher Information:
Oxford: Elsevier Science, 2006.
Publication Year:
2006
Physical Description:
print, 16 ref
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, Energie. Utilisation thermique des combustibles, Energy. Thermal use of fuels, Installations de production et de conversion d'énergie: énergie électrique, énergie thermique., Installations for energy generation and conversion: thermal and electrical energy., Centrales combinées, Combined power plants, Analyse coût, Cost analysis, Análisis costo, Analyse sensibilité, Sensitivity analysis, Análisis sensibilidad, Analyse thermodynamique, Thermodynamic analysis, Análisis termodinámico, Analyse économique, Economic analysis, Análisis económico, Carbone dioxyde, Carbon dioxide, Carbono dióxido, Centrale combinée, Combined power plant, Central combinada, Centrale gaz, Gas fired power station, Central gas, Emission polluant, Pollutant emission, Emisión contaminante, Etude cas, Case study, Estudio caso, Etude technicoéconomique, Technicoeconomic study, Estudio técnicoeconómico, Lutte antipollution, Pollution control, Lucha anticontaminación, Optimisation économique, Economic optimization, Optimización económica, Optimum Pareto, Pareto optimum, Optimo Pareto, Production énergie électrique, Electric power production, Producción energía eléctrica, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Prévention pollution, Pollution prevention, Prevención polución, Séquestration CO2, CO2 sequestration, Secuestración CO2
Subject Geographic:
Europe, Europa, Allemagne, Germany, Alemania
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Laboratory for Industrial Energy Systems, Ecole Polytechnique Fderale de Lausanne, 1015 Lausanne, Switzerland
ISSN:
0360-5442
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18172164
Rights:
Copyright 2006 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.18172164
Database:
PASCAL Archive

Weitere Informationen

This paper illustrates a methodology developed to facilitate the analysis of complex systems characterized by a large number of technical, economical and environmental parameters. Thermo-economic modeling of a natural gas combined cycle including CO2 separation options has been coupled within a multi-objective evolutionary algorithm to characterize the economic and environmental performances of such complex systems within various contexts. The method has been applied to a case of power generation in Germany. The optimum options for system integration under different boundary conditions are revealed by the Pareto Optimal Frontiers. Results show the influence of the configuration and technical parameters on the electrical efficiencies of the Pareto optimal plants and their sub-systems. The results provide information on the relationship between power generation cost and CO2 emissions, and allow sensitivity analyses of important economical parameters like natural gas and electricity prices. Such a tool is of interest for power generation technology suppliers, for utility owners or for project investors, and for policy makers in the context of CO2 mitigation schemes including emission trading.