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Stacks multi-objective allocation optimization for multi-stack fuel cell systems.
- Source :
-
Applied Energy . Feb2023, Vol. 331, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- For a multi-stack fuel cell system (MFCS), the optimal stacks allocation result with a single optimization index cannot meet the MFCS requirements under various operating conditions. In this work, an MFCS stacks multi-objective allocation optimization method is proposed. A multi-objective optimization model of MFCS stacks allocation with boundary conditions is established to obtain the optimal MFCS stacks allocation scheme. The minimum life-cycle cost (LCC) is selected as an optimization objective to investigate the mathematical modeling process of the stacks optimization allocation problem. The different optimization indexes, application scenarios, stack unit cost trends, hydrogen and stack retail prices, stack characteristics, and hydrogen unit usage cost weights have an impact on the minimum LCC-based MFCS stacks allocation results. As a result, compared to the conventional equal allocation MFCS, the minimum LCC-based stacks allocation MFCS could save 0.06 kg per 100 km of hydrogen for a 240 kW MFCS under the C-WTVC driving cycle. Finally, the multi-objective optimization method for determining the optimal MFCS stacks allocation scheme is discussed. • The MFCS optimal stacks allocation scheme can be obtained by the multi-objective optimization model. • A case study is performed to validate the viability of the proposed multi-objective optimization method. • Various impact factors of the minimum LCC-based MFCS stacks allocation result are analyzed. • The MFCS LCC is improved by the proposed minimum LCC-based MFCS stacks allocation method. [ABSTRACT FROM AUTHOR]
- Subjects :
- *FUEL systems
*RETAIL industry
*PROCESS optimization
*BILEVEL programming
Subjects
Details
- Language :
- English
- ISSN :
- 03062619
- Volume :
- 331
- Database :
- Academic Search Index
- Journal :
- Applied Energy
- Publication Type :
- Academic Journal
- Accession number :
- 161014403
- Full Text :
- https://doi.org/10.1016/j.apenergy.2022.120370