Techno-economic Assessment of Co-gasification of Rice Husk and Plastic Waste as an Off-grid Power Source for Small Scale Rice Milling - an Aspen Plus Model

Salisu, Jamilu; Gao, Ningbo

doi:10.1016/j.jaap.2021.105157

Cited by 59 publications

(22 citation statements)

References 31 publications

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“…The HCOALGEN method includes different empirical correlations to estimate heat of combustion, enthalpy of formation and specific heat; whereas the DCOALIGT method is based on the empirical correlations from the Institute of Gas Technology (IGT) to estimate density. The most usual physical property methods reported in the literature for modeling gasification processes are PR-BM and RKS-BM [18,19,24,[32][33][34][35], both providing comparable results [36]. The Peng-Robinson cubic equation of state with Boston-Mathias alpha function (PR-BM) was used to estimate all the thermodynamic properties of the conventional components involved in the integrated process.…”

Section: Plant Description and Process Modelingmentioning

confidence: 99%

“…• The integrated gasification plant is operating under steady-state conditions within a zero-dimensional and time independent approach where hydrodynamic effects are disregarded [14, 17-19, 24, 33-35, 37-39]. • Heat losses to the surrounding environment and pressure drops across all unit operations are neglected [19,24,[32][33][34][35][37][38][39]]. • All chemical reactions reach thermodynamic equilibrium conditions and reaction kinetics are not considered [14, 17-19, 24, 33-35, 37-39].…”

Section: Plant Description and Process Modelingmentioning

confidence: 99%

“…• The reaction temperature must be above 700 °C, in order to achieve high carbon conversion efficiency and reduce tar formation [47]. Reaction temperatures above 800 °C in downdraft gasifiers are regarded to approach the equilibrium conditions with sufficient accuracy for thermodynamic considerations [14,24,39,42,48]. • All nitrogen content in the feedstock is converted to either nitrogen (N 2 ) or ammonia (NH 3 ), and all sulfur content in the feedstock is converted to hydrogen sulfide (H 2 S) [37,49].…”

Section: Gasificationmentioning

confidence: 99%

“…In the first stage of the gasification process, the moisture content of the feedstock is removed in block DRYING. The stoichiometric reactor (RStoic) was used to model the evaporation of moisture by calling an external Fortran subroutine [24,32,33]. The yield of water is given by the moisture content in the proximate analysis of the solid stream DPOMACE, which is evaporated in block HEATING and then separated in block DEMOIST through split fractionation of the components by using a separator (Sep).…”

Section: Gasificationmentioning

confidence: 99%

“…The producer gas from gasification, once cooled and cleaned, can be used as fuel in gas engines or microturbines for electric and/or thermal power generation. The performance of downdraft gasifiers coupled to microturbines has already been addressed in a number of works [13][14][15][16][17][18][19][20][21][22][23][24], and allows the generation of electric power for selfconsumption on a distributed scale. However, so far, it is not known of a previous work aimed at developing an integrated gasification process for simultaneously generating electric power and drying wet olive pomace at an olive oil mill.…”

Section: Introductionmentioning

confidence: 99%

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An integrated gasification plant for electric power generation from wet biomass: toward a sustainable production in the olive oil industry

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Biomass Conv. Bioref.

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This research work proposes an integrated gasification plant for simultaneous generation of renewable electricity and drying of olive pomace, a thick sludge with a moisture content close to 60–70% (wet basis), which constitutes by far the most abundant by-product in the Spanish olive oil industry. Due to its massive rate of production and increasing associated transportation costs, olive pomace management currently represents a substantial expense for oil mills. The integrated gasification plant, which can be installed directly at oil mills, consists of a pelletizer, a downdraft gasifier under autothermal operation fueled with dried olive pomace pellets, a producer gas cooling and cleaning unit and a microturbine as power generation unit. The wet olive pomace continuously produced in oil mills is eventually dried in a co-current flow rotary drum dryer with the hot exhaust gases leaving the microturbine at temperatures close to 300 °C, allowing a self-sufficient operation of the integrated gasification plant. The integrated gasification plant was modeled using Aspen Plus® process simulator. The developed model was validated against experimental and simulation results of relevant works. Under optimum operating conditions, the electrical efficiency of the proposed plant is 18.8%, while the additional drying stage allows achieving an overall efficiency of 51.0%. Electricity consumption by the pelletizer and ancillary equipment represents 10–20% of the net electric power generation from the microturbine. However, since the integrated gasification plant is fueled with an inexpensive by-product of olive oil production that is massively produced on-site, the plant performance parameters are remarkably satisfactory.

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Section: Plant Description and Process Modelingmentioning

confidence: 99%

Section: Plant Description and Process Modelingmentioning

confidence: 99%

Section: Gasificationmentioning

confidence: 99%

Section: Gasificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An integrated gasification plant for electric power generation from wet biomass: toward a sustainable production in the olive oil industry

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Multi‐Pathways for Sustainable Fuel Production from Biomass Using Zirconium‐Based Catalysts: A Comprehensive Review

Purnama,

Trisunaryanti,

Wijaya

et al. 2023

Energy Tech

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Numerous concerns, including environmental impact and public health issues, drive the urgent need to replace nonrenewable fossil fuels with renewable energy sources, with biomass emerging as a viable alternative globally. In this comprehensive review, the urgent need to transition from nonrenewable fossil fuels to renewable energy sources is addressed, focusing on biomass as a global alternative. It examines the role of zirconium‐based catalysts in converting biomass into biofuels and hydrogen. Various biomass extraction methods based on the thermochemical processes (pyrolysis, gasification, hydrothermal liquefaction, hydrocracking, and steam reforming) are explored, including their merits and limitations. Additionally, the properties of zirconium‐based catalysts and their catalytic efficiency in biomass conversion are assessed, highlighting the factors influencing their performance. In this literature review, the promising potential of zirconium‐based catalysts in enhancing the sustainability and efficiency of global biofuel production from biomass is revealed. It underscores the critical role of biomass as a renewable energy source and highlights the significance of zirconium‐based catalysts in advancing sustainable biofuel production. It offers insights into addressing environmental concerns, promoting public health, and supporting the global transition toward renewable energy solutions.

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Biorefineries Based on Rice Residues as Sustainable Productive Models

Quintero-Naucil,

Salgado-Angulo,

Arias-Duque

et al. 2024

Contributions of Chemical Engineering to Sustainability

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Techno-economic Assessment of Co-gasification of Rice Husk and Plastic Waste as an Off-grid Power Source for Small Scale Rice Milling - an Aspen Plus Model

Cited by 59 publications

References 31 publications

An integrated gasification plant for electric power generation from wet biomass: toward a sustainable production in the olive oil industry

An integrated gasification plant for electric power generation from wet biomass: toward a sustainable production in the olive oil industry

Multi‐Pathways for Sustainable Fuel Production from Biomass Using Zirconium‐Based Catalysts: A Comprehensive Review

Biorefineries Based on Rice Residues as Sustainable Productive Models

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