TY - JOUR
T1 - Multiobjective optimization and performance assessment of a PEM fuel cell-based energy system for multiple products
AU - Chammam, Abdeljelil
AU - Kumar Tripathi, Abhishek
AU - Nuñez Alvarez, José Ricardo
AU - O. Alsaab, Hashem
AU - Romero-Parra, Rosario Mireya
AU - Mohammad Mayet, Abdulilah
AU - Abdullaev, Sherzod Shukhratovich
N1 - Funding Information:
This study is supported via funding from Prince sattam bin Abdulaziz University project number ( PSAU / 2023/R/1444 ).
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/10
Y1 - 2023/10
N2 - In this article, the optimal design of a novel multi-generation system for the production of electricity, cooling, heat and freshwater is discussed. In this system, a Proton exchange membrane fuel cell (PEM FC) is used to generate electricity, and the heat produced by it is absorbed by the Ejector Refrigeration Cycle (ERC) and used to provide cooling and heating capacity. A reverse osmosis (RO) desalination system is also used to supply freshwater. The esign variables in this research are operating temperature and pressure and current density of FC, as well as the operating pressure of the HRVG, evaporator, and condenser of the ERC system. In order to optimize the considered system, the exergy efficiency and total cost rate (TCR) of the system are considered as optimization objective functions. To this end, the genetic algorithm (GA) is used and the Pareto front is extracted. Also, three refrigerants R134a, R600 and R123 areused as ERC system refrigerant and their performance are evaluated. Finally, the optimal design point is selected. At the mentioned point, the exergy efficiency is 70.2% and the TCR of the system is 1.78 S/h.
AB - In this article, the optimal design of a novel multi-generation system for the production of electricity, cooling, heat and freshwater is discussed. In this system, a Proton exchange membrane fuel cell (PEM FC) is used to generate electricity, and the heat produced by it is absorbed by the Ejector Refrigeration Cycle (ERC) and used to provide cooling and heating capacity. A reverse osmosis (RO) desalination system is also used to supply freshwater. The esign variables in this research are operating temperature and pressure and current density of FC, as well as the operating pressure of the HRVG, evaporator, and condenser of the ERC system. In order to optimize the considered system, the exergy efficiency and total cost rate (TCR) of the system are considered as optimization objective functions. To this end, the genetic algorithm (GA) is used and the Pareto front is extracted. Also, three refrigerants R134a, R600 and R123 areused as ERC system refrigerant and their performance are evaluated. Finally, the optimal design point is selected. At the mentioned point, the exergy efficiency is 70.2% and the TCR of the system is 1.78 S/h.
KW - Ejector refrigeration cycle
KW - Environmental impacts
KW - Multi-generation system
KW - Multi-objective optimization
KW - PEM fuel cell
KW - Reverse osmosis desalination
UR - http://www.scopus.com/inward/record.url?scp=85163862433&partnerID=8YFLogxK
U2 - 10.1016/j.chemosphere.2023.139348
DO - 10.1016/j.chemosphere.2023.139348
M3 - Original Article
C2 - 37379989
AN - SCOPUS:85163862433
SN - 0045-6535
VL - 337
JO - Chemosphere
JF - Chemosphere
M1 - 139348
ER -
