An overview of OPS from oil palm industry as feedstock for bio-oil production

Qureshi, Sania; Nizamuddin, Sabzoi; Baloch, Humair Ahmed; Siddiqui, M.T.H.; Mubarak, Nabisab Mujawar; Griffin, Gregory

doi:10.1007/s13399-019-00381-w

Cited by 19 publications

(7 citation statements)

References 141 publications

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“…In the past decades, many correlations were established in the literature to estimate the HHV of fuel using proximate analysis of feedstock. The proximate analysis is one of the main attributes which measures the fuel or feedstock's energy content via ratio of combustibles (VM and FC) to non‐combustibles (AC and MC) 39 …”

Section: Resultsmentioning

confidence: 99%

Estimation of fast pyrolysis bio‐oil properties from feedstock characteristics using rough‐set ‐based machine learning

Chong

Thangalazhy‐Gopakumar

Tan

et al. 2022

Intl J of Energy Research

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Summary In this work, a data‐driven rough‐set‐based machine learning model has been proposed as a pre‐processing and predictive modelling tool to predict the pyrolysis bio‐oil properties based on pyrolysis temperature and feedstock characteristics. A database consisting of feedstock proximate and ultimate analyses, pyrolysis temperature, bio‐oil's pH value, and bio‐oil's higher heating value was compiled and used to train the rough‐set‐based machine learning model. The resulting rule‐based rough‐set‐based machine learning model demonstrated promising strength, certainty, and coverage factor. Furthermore, the emergent patterns and mechanistic plausibility of the rough‐set‐based machine learning models were analysed. The generated rules illustrated reasonable predictive capability in estimating the higher heating value and pH value of bio‐oil based on the feedstock characterisation and pyrolysis temperature. Rough‐set‐based machine learning model is thus demonstrated to be a simple and straightforward approach for feedstock composition and pyrolysis temperature selection in pyrolysis/co‐pyrolysis bio‐oil production.

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Section: Resultsmentioning

confidence: 99%

Estimation of fast pyrolysis bio‐oil properties from feedstock characteristics using rough‐set ‐based machine learning

Chong

Thangalazhy‐Gopakumar

Tan

et al. 2022

Intl J of Energy Research

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“…Direct combustion of PEFB as biomass has several disadvantages: low calorific value, high moisture content, corrosion problems, wide particle size distribution, and low homogeneity [13][14][15]. However, since PEFB mainly comprises cellulose, hemicellulose, and lignin, processing wastes such as anaerobic digestion without pre-treatment will be complex [13,16,17].…”

Section: Introductionmentioning

confidence: 99%

H 2 -rich syngas production by sorption enhanced steam gasification of palm empty fruit bunch

Aprianti¹,

Faizal²,

Said³

et al. 2022

Comptes Rendus. Chimie

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Hydrogen-rich syngas from palm empty fruit bunch has been produced using CaO and bentonite as absorbent and catalyst. The gasification process is carried out at 550-750 °C at atmospheric pressure in the fixed bed gasifier with steam to biomass ratio (S/B) of 0-2.5 and Ca/C ratio of 0-2. The results showed that CaO only acts as CO 2 absorbent during the process. Increasing the ratio of Ca/C and S/B has increased the concentration of H 2 and absorption of CO 2 in the syngas. The addition of CaO did not significantly increase the production of CH 4 and CO in the syngas. The H 2 concentration reaches about 78.16 vol% at 700 °C and Ca/C 2.

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“…Además, el palmiste tiene un precio bajo y una alta disponibilidad en muchos países tropicales, es una fuente alternativa de proteína para rumiantes, aves y cerdos (5,6,7). Aunque el palmiste se ha utilizado en la alimentación de peces (8,9), sin embargo, los niveles óptimos de inclusión para la dieta de tilapia no se han investigado a fondo, debido a variaciones en las especies de tilapia, hábito alimenticio (omnívoro o herbívoro), etapa del cultivo, parámetros físico-químicos del agua, así como diferencias en las características nutritivas del palmiste, producto al origen de la palma, influencia del medioambiente y proceso de extracción de aceite (químico o mecánico) (4,5,6,7). Por lo tanto, esta investigación tuvo como objetivo determinar la respuesta de los indicadores productivos al incluir palmiste (Elaeis guineensis Jacq) en dietas para la nutrición de alevines de tilapia (O. niloticus).…”

Section: Introductionunclassified

“…Efecto del palmiste en la nutrición de alevines de tilapia (Oreochromis niloticus) Aroldo Botello León 1* ; Yordan Martínez Aguilar 2 ; María Teresa Viana 3 ; Marcos Ortega Ojeda 1 ; Charles Morán Montaño 1 ; Kirenia Pérez Corría 1 ; Yuniel Méndez-Martínez 4 ; Borja Velázquez Martí 5 .…”

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Efecto del palmiste en la nutrición de alevines de tilapia (Oreochromis niloticus)

León

Martínez²,

Viana³

et al. 2022

Rev MVZ Córdoba

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Objetivo. Determinar la respuesta de los indicadores productivos al incluir palmiste (Elaeis guineensis) en dietas para la nutrición de alevines de tilapia (Oreochromis niloticus). Material y métodos. Se utilizaron 300 machos masculinizados de tilapia (4,89 ± 0,09 g) y se distribuyeron bajo un diseño completamente al azar con tres repeticiones por tratamiento (20 peces por repetición). Se utilizó palmiste para formular cinco dietas isoproteicas (30,64%), isolipídicas (7,38%) e isoenergéticas (11,84 MJ kg-1 de alimento), control (T0), 5% (T5); 10% (T10); 15% (T15) y 20% (T20) para alimentar durante 60 días. Resultados. Los peces alimentados con los tratamientos T0, T5 y T10, no mostraron diferencias significativas (p> 0.05), pero sí con T15 y T20 en la digestibilidad de los nutrientes, el crecimiento y la composición del cuerpo. La inclusión de palmiste hasta el 20% de la dieta, disminuyó el costo del alimento. Se observó un alto grado de dependencia entre el contenido de fibra detergente neutro (%), la digestibilidad aparente de la materia seca (%) y la digestibilidad aparente de la proteína (%) (R2 = 0,732 y R2 = 0,774; p <0,000), respectivamente. Conclusiones. El palmiste se puede usar hasta el 10% en dietas para alevines de tilapia, sin afectar la digestibilidad aparente de los nutrientes, el crecimiento y el contenido nutricional en todo el cuerpo. La inclusión progresiva de palmiste en las dietas, disminuyó el costo del alimento, para un cultivo de tilapia más rentable.

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An overview of OPS from oil palm industry as feedstock for bio-oil production

Cited by 19 publications

References 141 publications

Estimation of fast pyrolysis bio‐oil properties from feedstock characteristics using rough‐set ‐based machine learning

Estimation of fast pyrolysis bio‐oil properties from feedstock characteristics using rough‐set ‐based machine learning

H 2 -rich syngas production by sorption enhanced steam gasification of palm empty fruit bunch

Efecto del palmiste en la nutrición de alevines de tilapia (Oreochromis niloticus)

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