Modelo multi-objetivo difuso que incorpore las energías renovables. Aplicación de la metaheurística EPSO
This paper develops an optimisation model for the optimisation of a system based on the Energy Returned On Investment (EROI) of the system. A standardised and flexible methodology is sought, which is feasible and viable (technically and environmentally) to make comparisons and decisions in order to...
Guardado en:
| Autores principales: | , , , , , , , , , , , , |
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Escuela de Perfeccionamiento en Investigación Operativa
2023
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| Acceso en línea: | https://revistas.unc.edu.ar/index.php/epio/article/view/43360 |
| Aporte de: |
| Sumario: | This paper develops an optimisation model for the optimisation of a system based on the Energy Returned On Investment (EROI) of the system. A standardised and flexible methodology is sought, which is feasible and viable (technically and environmentally) to make comparisons and decisions in order to minimise the environmental impact. The Life Cycle Analysis method is applied to determine the technological coefficients (EROI) and the objective function. With these data, a Mathematical Model is made, defining the state variables, auxiliary variables and adjustment parameters necessary to study the problem. A Posibilistic Model based on Multiobjective Fuzzy Dynamic Programming is applied, by means of the maximisation of the Hamacher's t-norm product, solved by means of the EPSO Metaheuristic. The most satisfactory investment of the Argentine Energy System is sought based on the generation sources: Nuclear, Fossil, Hydraulic, Solar and Wind. The aim is to guarantee energy and environmental sustainability, defining some criteria and influential factors in the medium and long term, with the intention of deepening and improving it in future research work. |
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