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Exergy analysis of a polymer fuel cell and identification of its optimum operating conditions using improved Farmland Fertility Optimization
- Source :
- Energy. 216:119264
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- In this paper, the exergy analysis of a proposed power generation system based on high-temperature proton exchange membrane fuel cell (HT-PEMFC) has been proposed. The analyzed system includes the organic Rankine cycle to recover the wasted heat. To analyze the system, a mathematical model of the considered PEMFC has been presented and the water management system is investigated. Parametric analysis is provided to investigate the effect of the various thermodynamic and economic parameters such as exergy, irreversibility, and the work. Therefore, the three mentioned parameters have been optimized for improving the PEMFC design. To achieve an efficient optimized system, a new design of Farmland Fertility Optimization (FFO) is proposed. Final results of the algorithm are compared with experimental results, the genetic algorithm, and the basic FFO and the optimized values of irreversibility, exergy efficiency, work for the proposed algorithm are achieved 0.011, −0.446, and −0.462, respectively that are the best results toward the other compared algorithms.
- Subjects :
- Exergy
Work (thermodynamics)
020209 energy
Proton exchange membrane fuel cell
02 engineering and technology
Industrial and Manufacturing Engineering
020401 chemical engineering
Genetic algorithm
0202 electrical engineering, electronic engineering, information engineering
0204 chemical engineering
Electrical and Electronic Engineering
Process engineering
Civil and Structural Engineering
Mathematics
chemistry.chemical_classification
Organic Rankine cycle
business.industry
Mechanical Engineering
Building and Construction
Polymer
Pollution
Identification (information)
General Energy
chemistry
Exergy efficiency
business
Subjects
Details
- ISSN :
- 03605442
- Volume :
- 216
- Database :
- OpenAIRE
- Journal :
- Energy
- Accession number :
- edsair.doi...........0f1e03667eca5a4cc89eed95f3b67386
- Full Text :
- https://doi.org/10.1016/j.energy.2020.119264