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

Jonghun Lim; Junghwan Kim

doi:10.1016/j.renene.2022.03.095

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

Jonghun Lim, Junghwan Kim

Department of Chemical and Biomolecular Engineering

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1006-1017
Number of pages	12
Journal	Renewable Energy
Volume	190
DOIs	https://doi.org/10.1016/j.renene.2022.03.095
Publication status	Published - 2022 May

Bibliographical note

Funding Information:
This work was supported by the Korean Institute of Industrial Technology within the framework of the following projects: “Development of AI Platform Technology for Smart Chemical Process [grant number JH-21-0005]”, “Development of hybrid model and software for optimization of ash removal system in recovery boiler for power generation [grant number JH-20-0014]” and " Development of Global Optimization System for Energy Process [grant number EM-21-0022 , IR-21-0029 , IZ-21-0052 ]".

Publisher Copyright:
© 2022 The Authors

All Science Journal Classification (ASJC) codes

Renewable Energy, Sustainability and the Environment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.renene.2022.03.095

Cite this

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title = "Optimizing ash deposit removal system to maximize biomass recycling as renewable energy for CO2 reduction",

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.",

author = "Jonghun Lim and Junghwan Kim",

note = "Funding Information: This work was supported by the Korean Institute of Industrial Technology within the framework of the following projects: “Development of AI Platform Technology for Smart Chemical Process [grant number JH-21-0005]”, “Development of hybrid model and software for optimization of ash removal system in recovery boiler for power generation [grant number JH-20-0014]” and {"} Development of Global Optimization System for Energy Process [grant number EM-21-0022 , IR-21-0029 , IZ-21-0052 ]{"}. Publisher Copyright: {\textcopyright} 2022 The Authors",

year = "2022",

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doi = "10.1016/j.renene.2022.03.095",

language = "English",

volume = "190",

pages = "1006--1017",

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PY - 2022/5

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N2 - 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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