An evolutionary approach for techno-economic assessment
An evolutionary approach for techno-economic assessment
An evolutionary framework has been developed for techno-economic assessment at a decision-making level. A Master-Worker strategy based on Genetic Algorithms is proposed. It was enhanced with an ad-hoc chromosome redefinition, exclusively designed for techno-economic optimization. Specialized crossover and mutation operators were implemented so that the decision-maker places value on the economy of scale and the efficiency in logistics. The methodology enables to tackle systematically changes in the supply of raw materials and market demand altogether. By way of illustration, the eventual natural gas (NG) winter scarcity in Argentina, where industrial plants are forced to work under low-supply conditions, is discussed. For this case, efficient tactical planning was achieved by means of the optimization of the plants? on/off status, together with the assessment of the weekly NG amounts to be individually provided.
Fil: Brignole, Nélida Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Computación Científica; Argentina
Fil: Villar, Luciana Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Computación Científica; Argentina
Fil: de Meio Reggiani, Martín Carlos. Universidad Nacional del Sur. Departamento de Economía; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Computación Científica; Argentina
Fil: Vigier, Hernan Pedro. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Laboratorio de Investigación y Desarrollo en Computación Científica; Argentina
32nd European Symposium on Computer Aided Process Engineering
European Symposium on Computer Aided Process Engineering
Toulouse
Francia
GENETIC ALGORTIHM, PLANNING, TECHNO-ECONOMIC ASSESSMENT, https://purl.org/becyt/ford/1.2, OPTIMIZATION, https://purl.org/becyt/ford/1
GENETIC ALGORTIHM, PLANNING, TECHNO-ECONOMIC ASSESSMENT, https://purl.org/becyt/ford/1.2, OPTIMIZATION, https://purl.org/becyt/ford/1
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