An innovative four-objective dragonfly-inspired optimization algorithm for an efficient, green, and cost-effective waste heat recovery from SOFC

被引:33
作者
Alirahmi, Seyed Mojtaba [1 ]
Behzadi, Amirmohammad [2 ]
Ahmadi, Pouria [3 ]
Sadrizadeh, Sasan [2 ,4 ]
机构
[1] Aalborg Univ, Dept Chem & Biosci, Niels Bohrs Vej, DK-6700 Esbjerg, Denmark
[2] KTH Royal Inst Technol, Dept Civil & Architectural Engn, Stockholm, Sweden
[3] Univ Tehran, Coll Engn, Sch Mech Engn, Tehran, Iran
[4] Malardalen Univ, Sch Business Soc & Engn, Vasteras, Sweden
关键词
Dragonfly algorithm; Multi -objective optimization; Artificial neural network; Solid oxide fuel cell; Exergoeconomic; OXIDE FUEL-CELL; MULTIOBJECTIVE OPTIMIZATION; DESALINATION SYSTEM; HYBRID SYSTEM; EXERGOECONOMIC ANALYSIS; DESIGN OPTIMIZATION; ENERGY SYSTEM; 4E ANALYSIS; POWER; SOLAR;
D O I
10.1016/j.energy.2022.125607
中图分类号
O414.1 [热力学];
学科分类号
摘要
This work proposes a novel yet practical dragonfly optimization algorithm that addresses four competing ob-jectives simultaneously. The proposed algorithm is applied to a hybrid system driven by the solid oxide fuel cell (SOFC) integrated with waste heat recovery units. A function-fitting neural network is developed to combine the thermodynamic model of the system with the dragonfly algorithm to mitigate the calculation time. According to the optimization outcomes, the optimum parameters create significantly more power and have a greater exergy efficiency and reduced product costs and CO2 emissions compared to the design condition. The sensitivity analysis reveals that while the turbine inlet temperatures of power cycles are ineffective, the fuel utilization factor and the current density significantly impact performance indicators. The scatter distribution indicates that the fuel cell temperature and steam-to-carbon ratio should be kept at their lowest bound. The Sankey graph shows that the fuel cell and afterburner are the main sources of irreversibility. According to the chord diagram, the SOFC unit with a cost rate of 13.2 $/h accounts for more than 29% of the overall cost. Finally, under ideal conditions, the flue gas condensation process produces an additional 94.22 kW of power and 760,056 L/day of drinkable water.
引用
收藏
页数:17
相关论文
共 61 条
  • [1] Exergetic performance coefficient analysis of a simple fuel cell system
    Akkaya, Ali Volkan
    Sahin, Bahri
    Erdem, Hasan Huseyin
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2007, 32 (17) : 4600 - 4609
  • [2] Exergoeconomic analysis of hybrid sCO2 Brayton power cycle
    Alenezi, A.
    Vesely, L.
    Kapat, J.
    [J]. ENERGY, 2022, 247
  • [3] Green hydrogen & electricity production via geothermal-driven multi-generation system: Thermodynamic modeling and optimization
    Alirahmi, Seyed Mojtaba
    Assareh, Ehsanolah
    Pourghassab, Nader Nadaki
    Delpisheh, Mostafa
    Barelli, Linda
    Baldinelli, Arianna
    [J]. FUEL, 2022, 308
  • [4] Soft computing analysis of a compressed air energy storage and SOFC system via different artificial neural network architecture and tri-objective grey wolf optimization
    Alirahmi, Seyed Mojtaba
    Mousavi, Seyedeh Fateme
    Ahmadi, Pouria
    Arabkoohsar, Ahmad
    [J]. ENERGY, 2021, 236 (236)
  • [5] Multi-criteria design optimization and thermodynamic analysis of a novel multigeneration energy system for hydrogen, cooling, heating, power, and freshwater
    Alirahmi, Seyed Mojtaba
    Rostami, Mohsen
    Farajollahi, Amir Hamzeh
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (30) : 15047 - 15062
  • [6] Multi-objective design optimization of a multi-generation energy system based on geothermal and solar energy
    Alirahmi, Seyed Mojtaba
    Dabbagh, Sajjad Rahmani
    Ahmadi, Pouria
    Wongwises, Somchai
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2020, 205
  • [7] A highly innovative yet cost-effective multi-generation energy system for net-zero energy buildings
    Arabkoohsar, Ahmad
    Behzadi, Amirmohammad
    Nord, Natasa
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2021, 237
  • [8] Design and tri-objective optimization of an energy plant integrated with near-zero energy building including energy storage: An application of dynamic simulation
    Bahramian, Fereydoun
    Akbari, Amin
    Nabavi, Miralireza
    Esfandi, Saeed
    Naeiji, Esfandiyar
    Issakhov, Alibek
    [J]. SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2021, 47
  • [9] Multi-objective optimization of a hybrid biomass-based SOFC/GT/double effect absorption chiller/RO desalination system with CO2 recycle
    Behzadi, A.
    Habibollahzade, A.
    Zare, V.
    Ashjaee, M.
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2019, 181 : 302 - 318
  • [10] A comparative evaluation of alternative optimization strategies for a novel heliostat-driven hydrogen production/injection system coupled with a vanadium chlorine cycle
    Behzadi, Amirmohammad
    Gholamian, Ehsan
    Alirahmi, Seyed Mojtaba
    Nourozi, Behrouz
    Sadrizadeh, Sasan
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2022, 267