Autor según el artículo: Gangwar S; Fernández D; Pozo C; Folgado R; Jiménez L; Boer D

Departamento: Enginyeria Química Enginyeria Mecànica

Autor/es de la URV: Boer, Dieter-Thomas / Jiménez Esteller, Laureano

Palabras clave: Optimization Risk analysis, energy-intensive industry Scheduling Spot market forecast Uncertainty

Resumen: The planning of energy-intensive processes is intrinsically uncertain due to their dependence on the volatile energy market, with scheduling having a vast impact on the final production cost of these plants. Traditional stochastic methods are mathematically very complex, which translates into a significant computational effort that might prevent a timely response to varying electricity prices. To encounter this uncertainty, we develop a reliable hybrid simulation-optimization approach for optimizing the production plant scheduling, combining scenario analysis with risk analysis. The proposed methodology is demonstrated with real data from a cryogenic air separation plant in Tarragona (Spain). This approach also informs decision-makers about risk or expected shortfall associated with the implied scenario. The generic methodology used here can be easily adapted to schedule facilities in other energy-intensive sectors such as cement, metallurgy or pulp and paper.

Áreas temáticas: Biotecnología Chemical engineering (all) Chemical engineering (miscellaneous) Ciência da computação Ciência de alimentos Ciências ambientais Ciências biológicas i Ciências biológicas ii Computer science applications Computer science, interdisciplinary applications Engenharias ii Engenharias iii Engenharias iv Engineering, chemical General chemical engineering Interdisciplinar Linguística e literatura Matemática / probabilidade e estatística Medicina ii Nutrição Química Saúde coletiva

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

Direcció de correo del autor: dieter.boer@urv.cat laureano.jimenez@urv.cat

Identificador del autor: 0000-0002-5532-6409 0000-0002-3186-7235

Fecha de alta del registro: 2023-06-12

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://www.sciencedirect.com/science/article/pii/S0098135423001047

Referencia al articulo segun fuente origial: Computers & Chemical Engineering. 174

Referencia de l'ítem segons les normes APA: Gangwar S; Fernández D; Pozo C; Folgado R; Jiménez L; Boer D (2023). Scheduling optimization and risk analysis for energy-intensive industries under uncertain electricity market to facilitate financial planning. Computers & Chemical Engineering, 174(), -. DOI: 10.1016/j.compchemeng.2023.108234

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

DOI del artículo: 10.1016/j.compchemeng.2023.108234

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2023

Tipo de publicación: Journal Publications