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Optimizing ash deposit removal system to maximize biomass recycling as renewable energy for CO2 reduction

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  • Lim, Jonghun
  • Kim, Junghwan

Abstract

The black liquor is valuable biomass that can be recycled in the form of CO2-neutral fuels and is burned in recovery boiler furnaces to produce steam for power generation. However, the combustion of biomass results in a large amount of ash deposits, which reduce the heat transfer efficiency. Therefore, all recovery boilers have an ash deposit removal system (ADRS). However, its operation is inefficient, significant amounts of steam energy are wasted, and CO2 emissions are increased. To solve these problems, this study addressed optimizing ADRS to maximize biomass recycling as renewable energy for CO2 reduction. This study mainly consists of two parts. First, to predict power generation, a process model of the recovery boiler with an ADRS was developed, and the model was used to define mathematical equations. Second, a mathematical model was proposed to maximize biomass recycling. The increase in biomass recycling is calculated by multiplying net power generation and the amount of saved biomass. As a result, 16.135 ton/d of black liquor was saved, and the CO2 emissions were decreased by 541–996 ton/y following an increase in the power generation by 2,987 MWh/y and in the net present value by $ 16,797,303.

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  • Lim, Jonghun & Kim, Junghwan, 2022. "Optimizing ash deposit removal system to maximize biomass recycling as renewable energy for CO2 reduction," Renewable Energy, Elsevier, vol. 190(C), pages 1006-1017.
    • Handle: RePEc:eee:renene:v:190:y:2022:i:c:p:1006-1017
    DOI: 10.1016/j.renene.2022.03.095
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    References listed on IDEAS

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    1. Cai, Yongtie & Tay, Kunlin & Zheng, Zhimin & Yang, Wenming & Wang, Hui & Zeng, Guang & Li, Zhiwang & Keng Boon, Siah & Subbaiah, Prabakaran, 2018. "Modeling of ash formation and deposition processes in coal and biomass fired boilers: A comprehensive review," Applied Energy, Elsevier, vol. 230(C), pages 1447-1544.
    2. Karim, Md Rezwanul & Bhuiyan, Arafat Ahmed & Sarhan, Abd Alhamid Rafea & Naser, Jamal, 2020. "CFD simulation of biomass thermal conversion under air/oxy-fuel conditions in a reciprocating grate boiler," Renewable Energy, Elsevier, vol. 146(C), pages 1416-1428.
    3. Darmawan, Arif & Ajiwibowo, Muhammad W. & Yoshikawa, Kunio & Aziz, Muhammad & Tokimatsu, Koji, 2018. "Energy-efficient recovery of black liquor through gasification and syngas chemical looping," Applied Energy, Elsevier, vol. 219(C), pages 290-298.
    4. Chowdhury, Mohammad Shyfur Rahman & Azad, A.K. & Karim, Md. Rezwanul & Naser, Jamal & Bhuiyan, Arafat A., 2019. "Reduction of GHG emissions by utilizing biomass co-firing in a swirl-stabilized furnace," Renewable Energy, Elsevier, vol. 143(C), pages 1201-1209.
    5. Katja Kuparinen & Esa Vakkilainen & Tero Tynjälä, 2019. "Biomass-based carbon capture and utilization in kraft pulp mills," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(7), pages 1213-1230, October.
    6. Maakala, Viljami & Järvinen, Mika & Vuorinen, Ville, 2018. "Optimizing the heat transfer performance of the recovery boiler superheaters using simulated annealing, surrogate modeling, and computational fluid dynamics," Energy, Elsevier, vol. 160(C), pages 361-377.
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    Cited by:

    1. Arciuolo, Thomas F. & Faezipour, Miad, 2022. "Yellowstone Caldera Volcanic Power Generation Facility: A new engineering approach for harvesting emission-free green volcanic energy on a national scale," Renewable Energy, Elsevier, vol. 198(C), pages 415-425.
    2. Karol Król & Wojciech Moroń & Dorota Nowak-Woźny, 2022. "Biomass and Coal Ash Sintering—Thermodynamic Equilibrium Modeling versus Pressure Drop Test and Mechanical Test," Energies, MDPI, vol. 16(1), pages 1-16, December.
    3. Reinmöller, Markus & Schreiner, Marcus & Laabs, Marcel & Scharm, Christoph & Yao, Zhitong & Guhl, Stefan & Neuroth, Manuela & Meyer, Bernd & Gräbner, Martin, 2023. "Formation and transformation of mineral phases in biomass ashes and evaluation of the feedstocks for application in high-temperature processes," Renewable Energy, Elsevier, vol. 210(C), pages 627-639.

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    Keywords

    Recovery boiler; Optimization; Biomass; CO2 reduction;
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