Establishment and validation of tar fouling mechanism in wood pellet boiler using kinetic models

Euh, Seung Hee; Kafle, Sagar; Lee, Sang Yeol; Lee, Chung Gun; Jo, Lahoon; Choi, Yun Sung; Jeong-hak, Oh，; Kim, Dae Hyun

doi:10.1016/j.applthermaleng.2017.07.212

Cited by 5 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Extension Of the Cpd Model To Additional Fuelsmentioning

confidence: 99%

“…Tar from pyrolysis of biomass can cause fouling on heat transfer surfaces and is not desired. Euh et al 178 used the vapor pressure model developed as part of the CPD model in a simulation of a wood pellet boiler. A mass transfer rate was computed from the difference in the partial pressure of the tar in the gas and the saturated vapor pressure of tar at the temperature of the surface.…”

Section: Extension Of the Cpd Model To Additional Fuelsmentioning

confidence: 99%

See 1 more Smart Citation

Review of 30 Years of Research Using the Chemical Percolation Devolatilization Model

Fletcher

2019

Energy Fuels

View full text Add to dashboard Cite

The chemical percolation devolatilization (CPD) model for coal pyrolysis was first published in 1989, and a completed version that included the vapor–liquid equilibrium model and cross-linking model was published in 1992. The CPD model was one of three pyrolysis models developed using a lattice model to account for the chemical structure of the coal and was directly based on solid-state 13C nuclear magnetic resonance (NMR) measurements of the coal structure. A correlation of coal structure parameters measured by NMR spectroscopy was performed to permit use of the CPD model to determine pyrolysis rates and yields of tars and light gases for any coal type. A separate nitrogen release model was also developed on the basis of the chemical structure. In the past 30 years, the CPD model or the concepts in the CPD model have been used to describe pyrolysis in many situations for many fuels. The CPD model has been incorporated directly into simulations of large coal combustors as well as detailed simulations of single-pyrolyzing or burning coal particles, which was the original intent. Some investigators added a more rigorous treatment of light gas release. Other investigators have used the CPD model to determine rate coefficients for simpler models for a given range of heating conditions. In addition, the concepts in the CPD model have been used to develop models for other solid fuels, including biomass, black liquor, oil shale, rigid foams, propellants, heavy oil, asphalt, and scrap tires. The CPD model has also been extended to low heating rates for underground coal thermal treatment and hydropyrolysis. This paper is a review of the development, improvement, and uses of the CPD model, along with extended uses of the concepts in the CPD model.

show abstract

Section: Extension Of the Cpd Model To Additional Fuelsmentioning

confidence: 99%

Section: Extension Of the Cpd Model To Additional Fuelsmentioning

confidence: 99%

Review of 30 Years of Research Using the Chemical Percolation Devolatilization Model

Fletcher

2019

Energy Fuels

View full text Add to dashboard Cite

show abstract

“…88,89 Mathematical models of tar condensation in tubes and ducts were proposed. [90][91][92] Kinetic models of biomass pyrolysis and gasification processes taking into account multi-component tar formation were also proposed; [93][94][95] : however, their use is computationally expensive and requires a lot of input coefficients with significant uncertainty.…”

mentioning

confidence: 99%

Mathematical modeling of tar conversion on downdraft biomass gasification processes

Donskoy

2023

Biofuels Bioprod Bioref

View full text Add to dashboard Cite

The article concerns some problems associated with the use of low‐grade fuels for the production of syngas in fixed‐bed gasifiers. Syngas is typically used to feed internal combustion engines in small power systems. Gas quality can be understood as its various characteristics, such as calorific value, the content of individual components (for example, hydrogen), low tar and soot content, and so forth. Achieving these quality criteria often requires specific conditions for the gasification process, in addition, some of them may be limited by additional requirements that are associated with thermal stability or fuel conversion requirements. When evaluating the technical and economic characteristics of gasification‐based power plants, the optimal efficiency does not always correspond to the higher efficiency of the gasification process and the quality of producer gas. In this regard, the aim is to develop optimization methods for different criteria and to create regime maps that cover physically achievable options. Novel mathematical models of tar conversion are proposed, allowing investigation of the dependencies of tar yield on gasification conditions, including the addition of catalysts or staged air supply. Computational tools based on thermodynamic and kinetic models make it possible to solve some of these problems, first of all, to consider and compare the efficiency of various methods for reducing tar content in producer gas (staged gasification, fuel mixing, thermal, and catalytic methods of tar elimination). The choice of relatively simple mathematical models allows us to conduct numerical calculations in a wide range of conditions and to optimize the parameters of biofuel conversion plants. This approach allows a more flexible choice of gasifier operating conditions, including its work as a part of a power unit. Optimal parameters are calculated for specific conditions: secondary air ratio (1–20%) and fraction of catalytic material (5–10%). The results may be used in the analysis and choice of biofuel gasification conditions at small power plants.

show abstract

Enhancing thermal efficiency of wood pellet boilers by improving inlet air characteristics

Eo¹,

Kim

Jeong

et al. 2021

Energy

View full text Add to dashboard Cite

Establishment and validation of tar fouling mechanism in wood pellet boiler using kinetic models

Cited by 5 publications

References 20 publications

Review of 30 Years of Research Using the Chemical Percolation Devolatilization Model

Review of 30 Years of Research Using the Chemical Percolation Devolatilization Model

Mathematical modeling of tar conversion on downdraft biomass gasification processes

Enhancing thermal efficiency of wood pellet boilers by improving inlet air characteristics

Contact Info

Product

Resources

About