IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v263y2023ipas0360544222024938.html
   My bibliography  Save this article

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

Author

Listed:
  • Alirahmi, Seyed Mojtaba
  • Behzadi, Amirmohammad
  • Ahmadi, Pouria
  • Sadrizadeh, Sasan

Abstract

This work proposes a novel yet practical dragonfly optimization algorithm that addresses four competing objectives 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.

Suggested Citation

  • Alirahmi, Seyed Mojtaba & Behzadi, Amirmohammad & Ahmadi, Pouria & Sadrizadeh, Sasan, 2023. "An innovative four-objective dragonfly-inspired optimization algorithm for an efficient, green, and cost-effective waste heat recovery from SOFC," Energy, Elsevier, vol. 263(PA).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pa:s0360544222024938
    DOI: 10.1016/j.energy.2022.125607
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222024938
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.125607?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Schöffer, S.I. & Klein, S.A. & Aravind, P.V. & Pecnik, R., 2021. "A solid oxide fuel cell- supercritical carbon dioxide Brayton cycle hybrid system," Applied Energy, Elsevier, vol. 283(C).
    2. Xu, Qidong & Xia, Lingchao & He, Qijiao & Guo, Zengjia & Ni, Meng, 2021. "Thermo-electrochemical modelling of high temperature methanol-fuelled solid oxide fuel cells," Applied Energy, Elsevier, vol. 291(C).
    3. Ebrahimi-Moghadam, Amir & Mohseni-Gharyehsafa, Behnam & Farzaneh-Gord, Mahmood, 2018. "Using artificial neural network and quadratic algorithm for minimizing entropy generation of Al2O3-EG/W nanofluid flow inside parabolic trough solar collector," Renewable Energy, Elsevier, vol. 129(PA), pages 473-485.
    4. Jia, Junxi & Li, Qiang & Luo, Ming & Wei, Liming & Abudula, Abuliti, 2011. "Effects of gas recycle on performance of solid oxide fuel cell power systems," Energy, Elsevier, vol. 36(2), pages 1068-1075.
    5. McIlwaine, Neil & Foley, Aoife M. & Morrow, D. John & Al Kez, Dlzar & Zhang, Chongyu & Lu, Xi & Best, Robert J., 2021. "A state-of-the-art techno-economic review of distributed and embedded energy storage for energy systems," Energy, Elsevier, vol. 229(C).
    6. Mei, Shuxue & Lu, Xiaorui & Zhu, Yu & Wang, Shixue, 2021. "Thermodynamic assessment of a system configuration strategy for a cogeneration system combining SOFC, thermoelectric generator, and absorption heat pump," Applied Energy, Elsevier, vol. 302(C).
    7. Raluy, Gemma & Serra, Luis & Uche, Javier, 2006. "Life cycle assessment of MSF, MED and RO desalination technologies," Energy, Elsevier, vol. 31(13), pages 2361-2372.
    8. Alirahmi, Seyed Mojtaba & Mousavi, Seyedeh Fateme & Ahmadi, Pouria & Arabkoohsar, Ahmad, 2021. "Soft computing analysis of a compressed air energy storage and SOFC system via different artificial neural network architecture and tri-objective grey wolf optimization," Energy, Elsevier, vol. 236(C).
    9. You, Huailiang & Han, Jitian & Liu, Yang & Chen, Changnian & Ge, Yi, 2020. "4E analysis and multi-objective optimization of a micro poly-generation system based on SOFC/MGT/MED and organic steam ejector refrigerator," Energy, Elsevier, vol. 206(C).
    10. Emadi, Mohammad Ali & Chitgar, Nazanin & Oyewunmi, Oyeniyi A. & Markides, Christos N., 2020. "Working-fluid selection and thermoeconomic optimisation of a combined cycle cogeneration dual-loop organic Rankine cycle (ORC) system for solid oxide fuel cell (SOFC) waste-heat recovery," Applied Energy, Elsevier, vol. 261(C).
    11. Mai, Trieu & Lopez, Anthony & Mowers, Matthew & Lantz, Eric, 2021. "Interactions of wind energy project siting, wind resource potential, and the evolution of the U.S. power system," Energy, Elsevier, vol. 223(C).
    12. Hainsch, Karlo & Löffler, Konstantin & Burandt, Thorsten & Auer, Hans & Crespo del Granado, Pedro & Pisciella, Paolo & Zwickl-Bernhard, Sebastian, 2022. "Energy transition scenarios: What policies, societal attitudes, and technology developments will realize the EU Green Deal?," Energy, Elsevier, vol. 239(PC).
    13. Eveloy, Valerie & Rodgers, Peter & Al Alili, Ali, 2017. "Multi-objective optimization of a pressurized solid oxide fuel cell – gas turbine hybrid system integrated with seawater reverse osmosis," Energy, Elsevier, vol. 123(C), pages 594-614.
    14. Damo, U.M. & Ferrari, M.L. & Turan, A. & Massardo, A.F., 2019. "Solid oxide fuel cell hybrid system: A detailed review of an environmentally clean and efficient source of energy," Energy, Elsevier, vol. 168(C), pages 235-246.
    15. Sadi, Meisam & Chakravarty, Krishna Hara & Behzadi, Amirmohammad & Arabkoohsar, Ahmad, 2021. "Techno-economic-environmental investigation of various biomass types and innovative biomass-firing technologies for cost-effective cooling in India," Energy, Elsevier, vol. 219(C).
    16. Thanganadar, Dhinesh & Asfand, Faisal & Patchigolla, Kumar, 2019. "Thermal performance and economic analysis of supercritical Carbon Dioxide cycles in combined cycle power plant," Applied Energy, Elsevier, vol. 255(C).
    17. Song, Jian & Wang, Yaxiong & Wang, Kai & Wang, Jiangfeng & Markides, Christos N., 2021. "Combined supercritical CO2 (SCO2) cycle and organic Rankine cycle (ORC) system for hybrid solar and geothermal power generation: Thermoeconomic assessment of various configurations," Renewable Energy, Elsevier, vol. 174(C), pages 1020-1035.
    18. Alenezi, A. & Vesely, L. & Kapat, J., 2022. "Exergoeconomic analysis of hybrid sCO2 Brayton power cycle," Energy, Elsevier, vol. 247(C).
    19. Zhao, Hongbin & Jiang, Ting & Hou, Hucan, 2015. "Performance analysis of the SOFC–CCHP system based on H2O/Li–Br absorption refrigeration cycle fueled by coke oven gas," Energy, Elsevier, vol. 91(C), pages 983-993.
    20. Godart, Peter, 2021. "Design and simulation of a heat-driven direct reverse osmosis device for seawater desalination powered by solar thermal energy," Applied Energy, Elsevier, vol. 284(C).
    21. Zhao, Yajing & Wang, Jiangfeng, 2016. "Exergoeconomic analysis and optimization of a flash-binary geothermal power system," Applied Energy, Elsevier, vol. 179(C), pages 159-170.
    22. Seyyedvalilu, M. Hatef & Zare, V. & Mohammadkhani, F., 2021. "Comparative thermoeconomic analysis of trigeneration systems based on absorption heat transformers for utilizing low-temperature geothermal energy," Energy, Elsevier, vol. 224(C).
    23. Behzadi, Amirmohammad & Habibollahzade, Ali & Ahmadi, Pouria & Gholamian, Ehsan & Houshfar, Ehsan, 2019. "Multi-objective design optimization of a solar based system for electricity, cooling, and hydrogen production," Energy, Elsevier, vol. 169(C), pages 696-709.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Razmi, Amir Reza & Hanifi, Amir Reza & Shahbakhti, Mahdi, 2023. "Design, thermodynamic, and economic analyses of a green hydrogen storage concept based on solid oxide electrolyzer/fuel cells and heliostat solar field," Renewable Energy, Elsevier, vol. 215(C).
    2. Alirahmi, Seyed Mojtaba & Gundersen, Truls & Arabkoohsar, Ahmad & Klemeš, Jiří Jaromír & Sin, Gürkan & Yu, Haoshui, 2024. "Process design, integration, and optimization of a novel compressed air energy storage for the coproduction of electricity, cooling, and water," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    3. Alirahmi, Seyed Meysam & Raisi, Afrasiab & Ghasemi, Behzad & Nadooshan, Afshin Ahmadi, 2023. "Comprehensive techno-economic assessment and tri-objective optimization of an innovative integration of compressed air energy storage system and solid oxide fuel cell," Renewable Energy, Elsevier, vol. 218(C).
    4. Shirazi, Peimaneh & Behzadi, Amirmohammad & Ahmadi, Pouria & Rosen, Marc A. & Sadrizadeh, Sasan, 2024. "Comparison of control strategies for efficient thermal energy storage to decarbonize residential buildings in cold climates: A focus on solar and biomass sources," Renewable Energy, Elsevier, vol. 220(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Hao & Tong, Xiangqian & Yin, Jun & Blaabjerg, Frede, 2023. "Neural network-aided 4-DF global efficiency optimal control for the DAB converter based on the comprehensive loss model," Energy, Elsevier, vol. 262(PA).
    2. Zheng, Nan & Zhang, Hanfei & Duan, Liqiang & Wang, Qiushi & Bischi, Aldo & Desideri, Umberto, 2023. "Techno-economic analysis of a novel solar-driven PEMEC-SOFC-based multi-generation system coupled parabolic trough photovoltaic thermal collector and thermal energy storage," Applied Energy, Elsevier, vol. 331(C).
    3. Zeng, Rong & Gan, Jijuan & Guo, Baoxin & Zhang, Xiaofeng & Li, Hongqiang & Yin, Wei & Zhang, Guoqiang, 2023. "Thermodynamic performance analysis of solid oxide fuel cell - combined cooling, heating and power system with integrated supercritical CO2 power cycle - organic Rankine cycle and absorption refrigerat," Energy, Elsevier, vol. 283(C).
    4. Habibollahzade, Ali & Gholamian, Ehsan & Behzadi, Amirmohammad, 2019. "Multi-objective optimization and comparative performance analysis of hybrid biomass-based solid oxide fuel cell/solid oxide electrolyzer cell/gas turbine using different gasification agents," Applied Energy, Elsevier, vol. 233, pages 985-1002.
    5. Mehr, A.S. & Moharramian, A. & Hossainpour, S. & Pavlov, Denis A., 2020. "Effect of blending hydrogen to biogas fuel driven from anaerobic digestion of wastewater on the performance of a solid oxide fuel cell system," Energy, Elsevier, vol. 202(C).
    6. Wang, Xusheng & Lv, Xiaojing & Mi, Xicong & Spataru, Catalina & Weng, Yiwu, 2022. "Coordinated control approach for load following operation of SOFC-GT hybrid system," Energy, Elsevier, vol. 248(C).
    7. Xu, Yuhao & Luo, Xiaobing & Tu, Zhengkai & Siew Hwa Chan,, 2022. "Multi-criteria assessment of solid oxide fuel cell–combined cooling, heating, and power system model for residential application," Energy, Elsevier, vol. 259(C).
    8. Alirahmi, Seyed Meysam & Raisi, Afrasiab & Ghasemi, Behzad & Nadooshan, Afshin Ahmadi, 2023. "Comprehensive techno-economic assessment and tri-objective optimization of an innovative integration of compressed air energy storage system and solid oxide fuel cell," Renewable Energy, Elsevier, vol. 218(C).
    9. Ouyang, Tiancheng & Zhang, Mingliang & Qin, Peijia & Liu, Wenjun & Shi, Xiaomin, 2022. "Converting waste into electric energy and carbon fixation through biosyngas-fueled SOFC hybrid system: A simulation study," Renewable Energy, Elsevier, vol. 193(C), pages 725-743.
    10. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Pan, Yachao & Zhang, Wujie & Wang, Yan, 2023. "Nonlinear modeling and multi-scale influence characteristics analysis of organic Rankine cycle (ORC) system considering variable driving cycles," Energy, Elsevier, vol. 265(C).
    11. Mardan Dezfouli, Amir Hossein & Niroozadeh, Narjes & Jahangiri, Ali, 2023. "Energy, exergy, and exergoeconomic analysis and multi-objective optimization of a novel geothermal driven power generation system of combined transcritical CO2 and C5H12 ORCs coupled with LNG stream i," Energy, Elsevier, vol. 262(PB).
    12. Mousavi, Shadi Bashiri & Ahmadi, Pouria & Adib, Mahdieh & Izadi, Ali, 2023. "Techno-economic assessment of an efficient liquid air energy storage with ejector refrigeration cycle for peak shaving of renewable energies," Renewable Energy, Elsevier, vol. 214(C), pages 96-113.
    13. Alirahmi, Seyed Mojtaba & Ebrahimi-Moghadam, Amir, 2022. "Comparative study, working fluid selection, and optimal design of three systems for electricity and freshwater based on solid oxide fuel cell mover cycle," Applied Energy, Elsevier, vol. 323(C).
    14. Zhao, Dongpeng & Han, Changho & Cho, Wonhee & Zhao, Li & Kim, Yongchan, 2022. "Directly combining a power cycle and refrigeration cycle: Method and case study," Energy, Elsevier, vol. 259(C).
    15. Ouyang, Tiancheng & Zhao, Zhongkai & Zhang, Mingliang & Xie, Shutao & Wang, Zhiping, 2022. "A micro off-grid power solution for solid oxide fuel cell waste heat reusing enabled peak load shifting by integrating compressed-air energy storage," Applied Energy, Elsevier, vol. 323(C).
    16. Kwan, Trevor Hocksun & Katsushi, Fujii & Shen, Yongting & Yin, Shunan & Zhang, Yongchao & Kase, Kiwamu & Yao, Qinghe, 2020. "Comprehensive review of integrating fuel cells to other energy systems for enhanced performance and enabling polygeneration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    17. Wu, Wencong & Xie, Shutao & Tan, Jiaqi & Ouyang, Tiancheng, 2022. "An integrated design of LNG cold energy recovery for supply demand balance using energy storage devices," Renewable Energy, Elsevier, vol. 183(C), pages 830-848.
    18. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Zhang, Wujie & Wang, Yan, 2022. "Evaluation of hybrid forecasting methods for organic Rankine cycle: Unsupervised learning-based outlier removal and partial mutual information-based feature selection," Applied Energy, Elsevier, vol. 311(C).
    19. Pietrasanta, Ariana M. & Mussati, Sergio F. & Aguirre, Pio A. & Morosuk, Tatiana & Mussati, Miguel C., 2022. "Optimization of a multi-generation power, desalination, refrigeration and heating system," Energy, Elsevier, vol. 238(PB).
    20. Ouyang, Tiancheng & Zhao, Zhongkai & Wang, Zhiping & Zhang, Mingliang & Liu, Benlong, 2021. "A high-efficiency scheme for waste heat harvesting of solid oxide fuel cell integrated homogeneous charge compression ignition engine," Energy, Elsevier, vol. 229(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:263:y:2023:i:pa:s0360544222024938. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.