Producción CyT
Artículo
Autoría
Basán, Natalia Paola
;
Grossmann, Ignacio E.
;
Gopalakrishnan, Ajit
;
Lotero, Irene
;
MENDEZ, CARLOS ALBERTO
Fecha
2018
Editorial y Lugar de Edición
American Chemical Society
Revista
INDUSTRIAL & ENGINEERING CHEMICAL RESEARCH,
vol. 57
(pp. 1581-1592)
American Chemical Society
Resumen
Información suministrada por el agente en
SIGEVA
In this work, a mixed-integer linear programming (MILP) model is presented based on a discrete-time scheduling formulation that allows modeling and optimizing operational decisions for processes working under time-sensitive energy prices. The main goal is to find an optimal production schedule, over a given time horizon, that satisfies product demand while minimizing total energy cost. This novel formulation, based on a new concept to model the transitions between alternative operating modes, i...
In this work, a mixed-integer linear programming (MILP) model is presented based on a discrete-time scheduling formulation that allows modeling and optimizing operational decisions for processes working under time-sensitive energy prices. The main goal is to find an optimal production schedule, over a given time horizon, that satisfies product demand while minimizing total energy cost. This novel formulation, based on a new concept to model the transitions between alternative operating modes, is very efficient and robust. To illustrate the new capabilities of the model, a comprehensive comparison is performed with a previous alternative model. The model is also used to efficiently solve a real-world industrial case study. The obtained results show optimal solutions for the proposed methodology with modest computational effort.
Ver más
Ver menos
Palabras Clave
Schedulingenergy consumption costcontinuous power-intensive processesMILP model
Descargue o solicite el texto completo