Author, as appears in the article.: Gangwar S; Fernández D; Pozo C; Folgado R; Jiménez L; Boer D

Department: Enginyeria Química Enginyeria Mecànica

URV's Author/s: Boer, Dieter-Thomas / Jiménez Esteller, Laureano

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

Abstract: 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.

Thematic Areas: 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

licence for use: https://creativecommons.org/licenses/by/3.0/es/

Author's mail: dieter.boer@urv.cat laureano.jimenez@urv.cat

Author identifier: 0000-0002-5532-6409 0000-0002-3186-7235

Record's date: 2023-06-12

Papper version: info:eu-repo/semantics/publishedVersion

Link to the original source: https://www.sciencedirect.com/science/article/pii/S0098135423001047

Papper original source: Computers & Chemical Engineering. 174

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

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Article's DOI: 10.1016/j.compchemeng.2023.108234

Entity: Universitat Rovira i Virgili

Journal publication year: 2023

Publication Type: Journal Publications