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A method for exergetic analysis of a real kraft biomass boiler

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  • Ramos, Vinícius Faria
  • Pinheiro, Olivert Soares
  • Ferreira da Costa, Esly
  • Souza da Costa, Andréa Oliveira

Abstract

Detailed model was proposed in this work for exergy analysis of a real biomass boiler. The model was based on an equilibrium model which uses Gibbs Energy minimization and energy balance to calculate the flue gas composition, the temperature of the furnace and the temperature of the flue gases along the boiler. The exergetic efficiency was calculated by the indirect method, and the exergy destruction in each component of the boiler and each material stream was evaluated. The Gibbs minimization model predicted successfully the complete combustion of the biomass and can be adapted to another thermochemical processes. The exergy analysis results showed that the furnace and the water walls have the higher exergy destruction, accounting for 47% and 30% of the total exergy destruction, respectively. In other parts of the boiler, the exergy destruction was higher in the water and steam flows than in the flue gases, and the results indicate that exergy destruction was higher in streams at lower temperatures. The global exergetic efficiency was 42.47%.

Suggested Citation

  • Ramos, Vinícius Faria & Pinheiro, Olivert Soares & Ferreira da Costa, Esly & Souza da Costa, Andréa Oliveira, 2019. "A method for exergetic analysis of a real kraft biomass boiler," Energy, Elsevier, vol. 183(C), pages 946-957.
    • Handle: RePEc:eee:energy:v:183:y:2019:i:c:p:946-957
    DOI: 10.1016/j.energy.2019.07.001
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    1. Saidur, R. & Abdelaziz, E.A. & Demirbas, A. & Hossain, M.S. & Mekhilef, S., 2011. "A review on biomass as a fuel for boilers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2262-2289, June.
    2. Topal, Huseyin & Taner, Tolga & Naqvi, Syed Arslan Hassan & Altınsoy, Yelda & Amirabedin, Ehsan & Ozkaymak, Mehmet, 2017. "Exergy analysis of a circulating fluidized bed power plant co-firing with olive pits: A case study of power plant in Turkey," Energy, Elsevier, vol. 140(P1), pages 40-46.
    3. Liu, Fang & Chen, Guanyi & Yan, Beibei & Ma, Wenchao & Cheng, Zhanjun & Hou, Li'an, 2017. "Exergy analysis of a new lignocellulosic biomass-based polygeneration system," Energy, Elsevier, vol. 140(P1), pages 1087-1095.
    4. Mendiburu, Andrés Z. & Carvalho, João A. & Coronado, Christian J.R., 2014. "Thermochemical equilibrium modeling of biomass downdraft gasifier: Stoichiometric models," Energy, Elsevier, vol. 66(C), pages 189-201.
    5. Aydin, Ebubekir Siddik & Yucel, Ozgun & Sadikoglu, Hasan, 2017. "Development of a semi-empirical equilibrium model for downdraft gasification systems," Energy, Elsevier, vol. 130(C), pages 86-98.
    6. Taner, Tolga, 2018. "Energy and exergy analyze of PEM fuel cell: A case study of modeling and simulations," Energy, Elsevier, vol. 143(C), pages 284-294.
    7. Saidur, R. & Ahamed, J.U. & Masjuki, H.H., 2010. "Energy, exergy and economic analysis of industrial boilers," Energy Policy, Elsevier, vol. 38(5), pages 2188-2197, May.
    8. Mendiburu, Andrés Z. & Carvalho, João A. & Zanzi, Rolando & Coronado, Christian R. & Silveira, José L., 2014. "Thermochemical equilibrium modeling of a biomass downdraft gasifier: Constrained and unconstrained non-stoichiometric models," Energy, Elsevier, vol. 71(C), pages 624-637.
    9. Behbahaninia, A. & Ramezani, S. & Lotfi Hejrandoost, M., 2017. "A loss method for exergy auditing of steam boilers," Energy, Elsevier, vol. 140(P1), pages 253-260.
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    1. Dong, Lei & Tao, Junyu & Zhang, Zhaoling & Yan, Beibei & Cheng, Zhanjun & Chen, Guanyi, 2021. "Energy utilization and disposal of herb residue by an integrated energy conversion system: A pilot scale study," Energy, Elsevier, vol. 215(PB).
    2. Chen, Bin & Ye, Xiao & Shen, Jun & Wang, Sha & Deng, Shengxiang & Yang, Jinbiao, 2021. "Investigations on the energy efficiency limits for industrial boiler operation and technical requirements—taking China’s Hunan province as an example," Energy, Elsevier, vol. 220(C).
    3. Tang, Wei & Feng, Huijun & Chen, Lingen & Xie, Zhuojun & Shi, Junchao, 2021. "Constructal design for a boiler economizer," Energy, Elsevier, vol. 223(C).
    4. Walmsley, Timothy Gordon & Philipp, Matthias & Picón-Núñez, Martín & Meschede, Henning & Taylor, Matthew Thomas & Schlosser, Florian & Atkins, Martin John, 2023. "Hybrid renewable energy utility systems for industrial sites: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).

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    Keywords

    Exergy; Biomass; Boiler; Modelling; Gibbs;
    All these keywords.

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