Palm and Palm Kernel Oil Production and Processing in Nigeria

2019 ◽

pp. 1-11 ◽

Cited By ~ 1

Author(s):

Hammed Adeniyi Salami

Keyword(s):

Life Cycle Assessment ◽

Life Cycle ◽

Energy Use ◽

Functional Unit ◽

Palm Kernel ◽

Oil Production ◽

Impact Categories ◽

Palm Kernel Oil ◽

Kernel Oil ◽

Cashew Nut

A comparative assessment of environmental impacts associated with the energy use in palm kernel oil production and cashew nut processing industries was carried out using life cycle assessment. One Kg of products from both industries was chosen as the functional unit. The gate – to – gate life cycle assessment results indicated that the total contribution per functional unit to global warming potential (GWP), abiotic depletion potential (ADP) and acidification potential (AP) were 50.2809 g of CO2 equivalents, 0.1524 g antimony equivalents and 0.1280 g of SO2 equivalents respectively for palm kernel oil production and 39.8350 g of CO2 equivalents, 0.1209 g antimony equivalents and 0.0957 g of SO2 equivalents respectively for cashew nut processing. The scenario-based results indicated substantial reductions for all the considered impact categories; approximately 18, 28 and 94% reductions were achieved for ADP, GWP and AP respectively for both industries when public power supply from the natural grid was the main energy source for agricultural production. Increasing the thermal efficiency of the nation’s existing power architecture resulted into 62 and 56% reductions for GWP and ADP respectively for the two industries, while additional 6 and 7% reductions were achieved for both impact categories when the transmission and distribution loss was maintained at 5%. The widespread adoption of clean and renewable energy sources, instead of over-reliance on electricity supply from the diesel-powered generator, has been identified as a feasible alternative towards achieving sustainability in the agro-processing industry.

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Palm kernel oil, coconut oil production

Focus on Surfactants ◽

10.1016/j.fos.2019.05.004 ◽

2019 ◽

Vol 2019 (4) ◽

pp. 2

Keyword(s):

Palm Kernel ◽

Coconut Oil ◽

Oil Production ◽

Palm Kernel Oil ◽

Kernel Oil

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Palm and Palm Kernel Oil Production and Processing in Malaysia and Indonesia

Palm Oil ◽

10.1016/b978-0-9818936-9-3.50011-3 ◽

2012 ◽

pp. 235-250 ◽

Cited By ~ 1

Author(s):

Khairudin Hashim ◽

Shawaluddin Tahiruddin ◽

Ahmad Jaril Asis

Keyword(s):

Palm Kernel ◽

Oil Production ◽

Palm Kernel Oil ◽

Kernel Oil

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Palm and Palm Kernel Oil Production and Processing in Brazil

Palm Oil ◽

10.1016/b978-0-9818936-9-3.50012-5 ◽

2012 ◽

pp. 251-274

Author(s):

Ana Cristina Pinheiro do Prado ◽

Jane Mara Block

Keyword(s):

Palm Kernel ◽

Oil Production ◽

Palm Kernel Oil ◽

Kernel Oil

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Kinetics Studies of Epoxidation and Oxirane Cleavage-Epoxidized Palm Kernel Oil

Recent Innovations in Chemical Engineering (Formerly Recent Patents on Chemical Engineering) ◽

10.2174/2405520413666200117091235 ◽

2020 ◽

Vol 13 (3) ◽

pp. 232-240

Author(s):

Mohd Jumain Jalil ◽

Aliff Farhan Mohd Yamin ◽

Mohd Saufi Md Zaini ◽

Veronique Gloria V. Siduru ◽

Norhashimah Morad ◽

...

Keyword(s):

Fatty Acids ◽

Reference Material ◽

Palm Kernel ◽

High Yield ◽

Simulation Data ◽

Kinetic Rate ◽

Palm Kernel Oil ◽

Kinetics Studies ◽

Kernel Oil ◽

Oxirane Cleavage

Background: Studies pertaining to the epoxidation of fatty acids, garnered much interest in recent years due to the rising demand of eco-friendly epoxides derived from vegetable oils. Methods: Epoxide is an important chemical precursor for the production of alcohols, glycols and polymers, like polyesters and epoxy resin. Epoxidation is the name given to the reaction when the double bonds are converted into epoxide. Results: Temperature at 55oC was used as a reference material in the epoxide process, as it produces a high yield epoxide being 88%. The kinetic rate of epoxidized palm kernel oil, k was obtained to be k11= 0.5125, k12= 0.05045, k21= 0.03185, k41= 0.01 and k51= 0.01243. Conclusion: Hence, by fitting the result with the experimental work and simulation, the summation of error being stimulated by I-sight simulation was 0.731116428 and the correlation between the experimental and simulation data was 0.925544.

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