Solid oxide fuel cell reactor analysis and optimisation through a novel multi-scale modelling strategy. (12th July 2015)

• Record Type: Journal Article
• Authors: Amiri, Amirpiran; Vijay, Periasamy; Tadé, Moses O.; Ahmed, Khaliq; Ingram, Gordon D.; Pareek, Vishnu; Utikar, Ranjeet
• Is Part Of: Computers & chemical engineering. Volume 78(2015)
• Page Start: 10
• Page End: 23
• Publication Date: 2015-07-12
• Subjects: Solid oxide fuel cell -- Aspen Plus -- Multi-scale -- Optimisation -- Modelling; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2015.04.006
• Languages: English
• ISSNs: 0098-1354

Abstract

Graphical abstract: Highlights: This study developed a non-isothermal, spatially distributed model for a SOFC channel and cell. The model can capture any fuel-air flow pattern within a flowsheeting environment. Sensitivity analysis and thermal optimisation are carried out by using the process analysis facilities within Aspen Plus. An optimum air distribution profile was determined for a cell of a SOFC that minimises the temperature gradient. Abstract: The simulation of a solid oxide fuel cell (SOFC) that incorporates a detailed user-developed model was performed within the commercial flowsheet simulator Aspen Plus. It allows modification of the SOFC's governing equations, as well as the configuration of the cell's fuel-air flow pattern at the flowsheet level. Initially, the dynamic behaviour of single compartment of a cell was examined with a 0D model, which became the building block for more complex SOFC configurations. Secondly, a sensitivity analysis was performed at the channel (1D) scale for different flow patterns. Thirdly, the effect of fuel and air flow rates on the predominant distributed variables of a cell was tested on a 2D assembly. Finally, an optimisation study was carried out on the 2D cell, leading to a robust, optimal air distribution profile that minimises the internal temperature gradient. This work forms the foundation of future stack and system scale studies.