IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v288y2024ics0360544223031171.html
   My bibliography  Save this article

Proposal and optimization of a novel biomass-based tri-generation system using energy, exergy and exergoeconomic analyses and design of experiments method

Author

Listed:
  • Aghabalazadeh, Mohammad
  • Neshat, Elaheh

Abstract

A novel trigeneration system of cooling, heating and power based on biomass is designed in current study. This system consists of five parts: biomass gasification subsystem, steam turbine subsystem (Rankin cycle), gas turbine subsystem (Brayton cycle), Kalina subsystem and ejector refrigeration subsystem. Energy, exergy and exergy-economic analysis were performed on the whole system and the effects of different key parameters on energy efficiency and exergy and economic factors are investigated. The designed cycle has been qualitatively optimized using DOE method and the interaction effects of parameters on cycle performance has been investigated. The results show that the highest exergy destruction is related to the combustion chamber with 56.14 %. Also, the lowest exergy destruction is assigned to the separator of the Kalina cycle with a nearly zero value. The highest investment, operating and maintenance costs are related to air compressor, gas turbine and steam generator, respectively. The results of parametric analysis showed that with increasing the mixing ratio of natural gas to syngas the thermal and exergy efficiencies, the rate of total system cost and the unit cost of power generation increase. Also, with increasing gasification temperature, the thermal and exergy efficiencies of this system vary slightly and can be considered constant, but the total cost of system increases. The results of DOE analysis showed that among the main effects of the parameters, the isentropic efficiency of the gas turbine and the temperature of the air entering the combustion chamber have the greatest effect on the system efficiency, and the GMR has the greatest effect on the LCOE of the system, and among the interaction effects of the parameters, the interaction between the temperature of the air entering the combustion chamber has the greatest effect on the system efficiency and LCOE.

Suggested Citation

  • Aghabalazadeh, Mohammad & Neshat, Elaheh, 2024. "Proposal and optimization of a novel biomass-based tri-generation system using energy, exergy and exergoeconomic analyses and design of experiments method," Energy, Elsevier, vol. 288(C).
    • Handle: RePEc:eee:energy:v:288:y:2024:i:c:s0360544223031171
    DOI: 10.1016/j.energy.2023.129723
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223031171
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129723?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. Lv, Xuefei & Lv, Ying & Zhu, Yiping, 2023. "Multi-variable study and MOPSO-based multi-objective optimization of a novel cogeneration plant using biomass fuel and geothermal energy: A complementary hybrid design," Energy, Elsevier, vol. 270(C).
    2. Behzadi, Amirmohammad & Arabkoohsar, Ahmad & Gholamian, Ehsan, 2020. "Multi-criteria optimization of a biomass-fired proton exchange membrane fuel cell integrated with organic rankine cycle/thermoelectric generator using different gasification agents," Energy, Elsevier, vol. 201(C).
    3. Shakibi, Hamid & Shokri, Afshar & Assareh, Ehsanolah & Yari, Mortaza & Lee, Moonyong, 2023. "Using machine learning approaches to model and optimize a combined solar/natural gas-based power and freshwater cogeneration system," Applied Energy, Elsevier, vol. 333(C).
    4. Román-Ramírez, L.A. & Marco, J., 2022. "Design of experiments applied to lithium-ion batteries: A literature review," Applied Energy, Elsevier, vol. 320(C).
    5. Athari, Hassan & Soltani, Saeed & Rosen, Marc A. & Seyed Mahmoudi, Seyed Mohammad & Morosuk, Tatiana, 2016. "Gas turbine steam injection and combined power cycles using fog inlet cooling and biomass fuel: A thermodynamic assessment," Renewable Energy, Elsevier, vol. 92(C), pages 95-103.
    6. Nima Javanshir & Seyed Mahmoudi S. M. & M. Akbari Kordlar & Marc A. Rosen, 2020. "Energy and Cost Analysis and Optimization of a Geothermal-Based Cogeneration Cycle Using an Ammonia-Water Solution: Thermodynamic and Thermoeconomic Viewpoints," Sustainability, MDPI, vol. 12(2), pages 1-25, January.
    7. Zare, A. Darabadi & Saray, R. Khoshbakhti & Mirmasoumi, S. & Bahlouli, K., 2019. "Optimization strategies for mixing ratio of biogas and natural gas co-firing in a cogeneration of heat and power cycle," Energy, Elsevier, vol. 181(C), pages 635-644.
    8. Azizi, Saeid & Shakibi, Hamid & Shokri, Afshar & Chitsaz, Ata & Yari, Mortaza, 2023. "Multi-aspect analysis and RSM-based optimization of a novel dual-source electricity and cooling cogeneration system," Applied Energy, Elsevier, vol. 332(C).
    9. Chitsaz, Ata & Sadeghi, Mohsen & Sadeghi, Maesoumeh & Ghanbarloo, Elham, 2018. "Exergoenvironmental comparison of internal reforming against external reforming in a cogeneration system based on solid oxide fuel cell using an evolutionary algorithm," Energy, Elsevier, vol. 144(C), pages 420-431.
    10. Yu, Zeting & Feng, Chunyu & Lai, Yanhua & Xu, Guoping & Wang, Daohan, 2022. "Performance assessment and optimization of two novel cogeneration systems integrating proton exchange membrane fuel cell with organic flash cycle for low temperature geothermal heat recovery," Energy, Elsevier, vol. 243(C).
    11. Shayan, E. & Zare, V. & Mirzaee, I., 2019. "On the use of different gasification agents in a biomass fueled SOFC by integrated gasifier: A comparative exergo-economic evaluation and optimization," Energy, Elsevier, vol. 171(C), pages 1126-1138.
    12. Wu, Zhen & Zhu, Pengfei & Yao, Jing & Zhang, Shengan & Ren, Jianwei & Yang, Fusheng & Zhang, Zaoxiao, 2020. "Combined biomass gasification, SOFC, IC engine, and waste heat recovery system for power and heat generation: Energy, exergy, exergoeconomic, environmental (4E) evaluations," Applied Energy, Elsevier, vol. 279(C).
    13. Ahmadi, Pouria & Dincer, Ibrahim, 2010. "Exergoenvironmental analysis and optimization of a cogeneration plant system using Multimodal Genetic Algorithm (MGA)," Energy, Elsevier, vol. 35(12), pages 5161-5172.
    14. Ahmadi, Pouria & Dincer, Ibrahim & Rosen, Marc A., 2014. "Thermoeconomic multi-objective optimization of a novel biomass-based integrated energy system," Energy, Elsevier, vol. 68(C), pages 958-970.
    15. Zhang, Fei-yang & Feng, Yong-qiang & He, Zhi-xia & Xu, Jing-wei & Zhang, Qiang & Xu, Kang-jing, 2022. "Thermo-economic optimization of biomass-fired organic Rankine cycles combined heat and power system coupled CO2 capture with a rated power of 30 kW," Energy, Elsevier, vol. 254(PC).
    Full references (including those not matched with items on IDEAS)

    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. Nemati Mofarrah, Ali & Jalalvand, Meysam & Abdolmaleki, Abbas, 2023. "Design, multi-aspect analyses, and multi-objective optimization of a biomass/geothermal-based cogeneration of power and freshwater," Energy, Elsevier, vol. 282(C).
    2. Zhang, Xiaofeng & Liu, Wenjing & Pan, Jinjun & Zhao, Bin & Yi, Zhengyuan & He, Xu & Liu, Yuting & Li, Hongqiang, 2024. "Comprehensive performance assessment of a novel biomass-based CCHP system integrated with SOFC and HT-PEMFC," Energy, Elsevier, vol. 295(C).
    3. Dou, Zhenhai & Zou, Yunhe & Mohebbi, Amir, 2024. "Design and multi-aspect analysis of a geothermal and biomass dual-source power, cooling, heating, and hybrid freshwater production system," Energy, Elsevier, vol. 293(C).
    4. Asgari, Nima & Khoshbakhti Saray, Rahim & Mirmasoumi, Siamak, 2023. "Seasonal exergoeconomic assessment and optimization of a dual-fuel trigeneration system of power, cooling, heating, and domestic hot water, proposed for Tabriz, Iran," Renewable Energy, Elsevier, vol. 206(C), pages 192-213.
    5. 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).
    6. Tian, Hao & Li, Ruiheng & Zhu, Yiping, 2023. "Blend of flue gas from a methane-fueled gas turbine power plant and syngas from biomass gasification process to feed a novel trigeneration application: Thermodynamic-economic study and optimization," Energy, Elsevier, vol. 285(C).
    7. Zhu, Chaoyang & Wang, Mengxia & Guo, Mengxing & Deng, Jinxin & Du, Qipei & Wei, Wei & Zhang, Yunxiang & Mohebbi, Amir, 2024. "An innovative process design and multi-criteria study/optimization of a biomass digestion-supercritical carbon dioxide scenario toward boosting a geothermal-driven cogeneration system for power and he," Energy, Elsevier, vol. 292(C).
    8. Boyaghchi, Fateme Ahmadi & Molaie, Hanieh, 2015. "Advanced exergy and environmental analyses and multi objective optimization of a real combined cycle power plant with supplementary firing using evolutionary algorithm," Energy, Elsevier, vol. 93(P2), pages 2267-2279.
    9. Qing, Xia, 2024. "Solar-driven multi-generation system: Thermoeconomic and environmental optimization for power, cooling, and liquefied hydrogen production," Energy, Elsevier, vol. 293(C).
    10. 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.
    11. Cai, Wei & Wen, Xiaodong & Li, Chaoen & Shao, Jingjing & Xu, Jianguo, 2023. "Predicting the energy consumption in buildings using the optimized support vector regression model," Energy, Elsevier, vol. 273(C).
    12. Hou, Rui & Zhang, Nachuan & Gao, Wei & Chen, Kang & Liu, Lijun & Kumar, M. Saravana, 2023. "Design and optimization of a novel flash-binary-based hybrid system to produce power, cooling, freshwater, and liquid hydrogen," Energy, Elsevier, vol. 280(C).
    13. Wang, Shicheng & Liu, Xin & Gu, Xueying & Huang, Xinyu & Li, Yu, 2023. "Analysis and multi-objective optimization of integrating a syngas-fed solid oxide fuel cell improved by a two-stage expander-organic flash cycle using an ejector and a desalination cycle," Energy, Elsevier, vol. 272(C).
    14. Kayadelen, Hasan Kayhan & Ust, Yasin, 2017. "Thermodynamic, environmental and economic performance optimization of simple, regenerative, STIG and RSTIG gas turbine cycles," Energy, Elsevier, vol. 121(C), pages 751-771.
    15. Sun, Wen & Feng, Li & Abed, Azher M. & Sharma, Aman & Arsalanloo, Akbar, 2022. "Thermoeconomic assessment of a renewable hybrid RO/PEM electrolyzer integrated with Kalina cycle and solar dryer unit using response surface methodology (RSM)," Energy, Elsevier, vol. 260(C).
    16. Lv, Xuefei & Lv, Ying & Zhu, Yiping, 2023. "Multi-variable study and MOPSO-based multi-objective optimization of a novel cogeneration plant using biomass fuel and geothermal energy: A complementary hybrid design," Energy, Elsevier, vol. 270(C).
    17. Chang, Yue & Jia, Yulong & Hong, Tan, 2023. "Comprehensive analysis and multi-objective optimization of an innovative power generation system using biomass gasification and LNG regasification processes," Energy, Elsevier, vol. 283(C).
    18. Chen, Ying & Liu, Yuxuan & Nam, Eun-Young & Zhang, Yang & Dahlak, Aida, 2023. "Exergoeconomic and exergoenvironmental analysis and optimization of an integrated double-flash-binary geothermal system and dual-pressure ORC using zeotropic mixtures; multi-objective optimization," Energy, Elsevier, vol. 283(C).
    19. Ashkan Abdalisousan & Maryam Fani & Bijan Farhanieh & Majid Abbaspour, 2014. "Effect of Decision Variables in the Steam Section for the Exergoeconomic Analysis of TCCGT Power Plant: A Case Study," Energy & Environment, , vol. 25(8), pages 1381-1404, December.
    20. Li, Ruiheng & Xu, Dong & Tian, Hao & Zhu, Yiping, 2023. "Multi-objective study and optimization of a solar-boosted geothermal flash cycle integrated into an innovative combined power and desalinated water production process: Application of a case study," Energy, Elsevier, vol. 282(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:288:y:2024:i:c:s0360544223031171. 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.