Evaluation of oil production from oil palm empty fruit bunch by oleaginous micro-organisms

2016 ◽  
Vol 10 (4) ◽  
pp. 378-392 ◽  
Author(s):  
Farah B Ahmad ◽  
Zhanying Zhang ◽  
William OS Doherty ◽  
Ian M O'Hara
Keyword(s):  
Oil Palm ◽  
Oil Production ◽  
Empty Fruit Bunch ◽  
Micro Organisms

scholarly journals Improved microbial oil production from oil palm empty fruit bunch by Mucor plumbeus

Fuel ◽  
2017 ◽  
Vol 194 ◽  
pp. 180-187 ◽  
Author(s):  
Farah B. Ahmad ◽  
Zhanying Zhang ◽  
William O.S. Doherty ◽  
Valentino S.J. Te'o ◽  
Ian M. O'Hara
Keyword(s):  
Oil Palm ◽  
Oil Production ◽  
Microbial Oil ◽  
Empty Fruit Bunch

Fast pyrolysis of acid-washed oil palm empty fruit bunch for bio-oil production in a bubbling fluidized-bed reactor

Energy ◽  
2019 ◽  
Vol 179 ◽  
pp. 517-527 ◽  
Author(s):  
Jeong-Woo Park ◽  
Juheon Heo ◽  
Hoang Vu Ly ◽  
Jinsoo Kim ◽  
Hankwon Lim ◽  
...  
Keyword(s):  
Fluidized Bed ◽  
Oil Palm ◽  
Fast Pyrolysis ◽  
Oil Production ◽  
Fluidized Bed Reactor ◽  
Empty Fruit Bunch ◽  
Bio Oil ◽  
Bubbling Fluidized Bed

scholarly journals Co-pyrolysis of oil palm empty fruit bunch and oil palm frond with low-density polyethylene and polypropylene for bio-oil production

2021 ◽  
pp. 103282
Author(s):  
Mohammed Abobakr Al-Maari ◽  
Mohd Azmier Ahmad ◽  
Azam Taufik Mohd Din ◽  
Hamizura Hassan ◽  
Ahmed Mubarak Alsobaai
Keyword(s):  
Oil Palm ◽  
Oil Production ◽  
Low Density Polyethylene ◽  
Low Density ◽  
Empty Fruit Bunch ◽  
Bio Oil ◽  
Oil Palm Frond ◽  
Palm Frond

scholarly journals Naganishia cerealis IN1S2.5 oil production from the hydrolysate of NaOH-impregnated and catalyst steam explosion pretreated oil palm empty fruit bunch

BioResources ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. 2987-3004
Author(s):  
Trinset Weeraphan ◽  
Somboon Tanasupawat ◽  
Ancharida Savarajara
Keyword(s):  
Fatty Acids ◽  
Oil Palm ◽  
Steam Explosion ◽  
Oil Production ◽  
Molar Ratio ◽  
Empty Fruit Bunch ◽  
Pretreatment Method ◽  
Biodiesel Feedstock ◽  
Hydrolysis Of ◽  
Cellulase Hydrolysis

NaOH-impregnation with catalyst steam explosion was found to be an efficient pretreatment method for oil palm empty fruit bunch (OPEFB) as a substrate for oil production by Naganishia cerealis IN1S2.5. Cellulase hydrolysis of the pretreated OPEFB yielded glucose at 0.364 g/g. Investigation of N. cerealis IN1S2.5 oil production in the OPEFB hydrolysate revealed a maximum oil yield (2.46 g/L) when the C/P molar ratio of the OPEFB hydrolysate was adjusted to 25.71, supplemented with Ca2+ and Zn2+, and set to pH 4. The N. cerealis IN1S2.5 oil was comprised of oleic (37.6%), palmitic (36.2%), and steric (17.9%) acids, all (w/w), as the major fatty acids. Predicted properties of the produced biodiesel indicated the potential of N. cerealis IN1S2.5 oil as a biodiesel feedstock.

scholarly journals Bio-Oil Production by Pyrolysis of Oil Palm Empty Fruit Bunch in Nitrogen and Steam Atmospheres

2012 ◽  
Vol 02 (04) ◽  
pp. 75-85 ◽  
Author(s):  
Peerapon Ruengvilairat ◽  
Harakhun Tanatavikorn ◽  
Tharapong Vitidsant
Keyword(s):  
Oil Palm ◽  
Oil Production ◽  
Empty Fruit Bunch ◽  
Bio Oil

Sistem Pakar Mendeteksi Penyakit Tanaman Kelapa Sawit Menggunakan Metode Forward Chaining

2019 ◽  
Vol 1 ◽  
pp. 444
Author(s):  
Dimas Satria ◽  
Poningsih Poningsih ◽  
Widodo Saputra
Keyword(s):  
Expert System ◽  
Programming Languages ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Plant Diseases ◽  
Accurate Information ◽  
Forward Chaining ◽  
Web Programming ◽  
Level Of Confidence

The purpose of this paper is to create an expert system to detect oil palm plant diseases in order to help farmers / companies in providing accurate information about the diseases of oil palm plants and how to overcome them and to help reduce the risk of decreasing palm oil production. This system is designed to mimic the expertise of an expert who is able to detect diseases that attack oil palm plants. The method used is forward chaining that is starting from a set of data and proving a fact by describing the level of confidence and uncertainty found in a hypothesis. The results of this study are to diagnose diseases of oil palm plants and their computerization using web programming languages.

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