Integrated Assessment of Palm Oil Mill Residues to Sustainable Electricity System (POMR-SES): A Case Study from Peninsular Malaysia

This paper analyses financial feasibility and cost-benefit and formulates the relevant subsidy program that is currently implemented by the government. We find that providing interest subsidy is financially feasible only if it serves to substitute the consumption of diesel. The benefits are higher than the costs among three types (45 t, 60 t and 75 t) of the palm waste generator capacity. The paper also reveals that Credit Program is relevant with the objective, to provide interest subsidy to farmers, but certain adaptations are required.

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Soil and transport factors in potential distribution systems for biofertilisers derived from palm oil mill residues in Malaysia

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2019.105005 ◽

2019 ◽

Vol 166 ◽

pp. 105005 ◽

Cited By ~ 2

Author(s):

I.G. Truckell ◽

S.H. Shah ◽

I.C. Baillie ◽

S.H. Hallett ◽

R. Sakrabani

Keyword(s):

Palm Oil ◽

Potential Distribution ◽

Distribution Systems ◽

Palm Oil Mill ◽

Mill Residues ◽

Transport Factors

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Performance of MR-deDuster: A Case Study of a Palm Oil Mill Plant

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.664.133 ◽

2013 ◽

Vol 664 ◽

pp. 133-137 ◽

Cited By ~ 3

Author(s):

H. Norelyza ◽

M. Rashid

Keyword(s):

Palm Oil ◽

Collection Efficiency ◽

Size Fraction ◽

Control Device ◽

Particulate Emission ◽

Particulate Pollution ◽

Particulate Size ◽

Palm Oil Mill ◽

Semi Empirical

Multi-cyclones is commonly usedin the palm oil mill industry as particulate pollution arrestor. However, its ability in capturing particulate matter (PM) especially the fine particulate size fraction is limited. Thus, study has been carried out to investigate and predict the performance of MR-deDuster, a multi-cyclones unit developed as particulate emission control device in palm oil mill plant. The MR-deDuster is intentionally developed to overcome particulate emission issue facing by industries that generate particulate especially the palm oil mill industry. A number of semi-empirical theories were used to predict the performance of MR-deDuster. Based on the prediction, the MR-deDuster manages to capture particulate size 3.8µm at 50% particulate collection efficiency. The MR-deDuster also manages to achieve more than 90% for total particulate collection efficiency with low pressure drop.

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The Preventive Maintenance Schedule: A Case Study at Aman Sales and Services Sdn. Bhd. and Ladang Sabah Palm Oil Mill.

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.660.995 ◽

2014 ◽

Vol 660 ◽

pp. 995-999

Author(s):

Abdullah Mohd Tahir ◽

Jamrin Jasmin ◽

Alfero Sualin ◽

Noor Ajian Mohd-Lair ◽

Abdul Kadir bin Abdul Rahman

Keyword(s):

Palm Oil ◽

Preventive Maintenance ◽

Study Data ◽

Maintenance Schedule ◽

Machine Maintenance ◽

Maintenance System ◽

Breakdown Time ◽

Palm Oil Mill ◽

Maintenance Schedules

Maintenance is crucial to system performance and reliability of a machine for an industry. Machine maintenance system in small and medium industries in Malaysia usually consists of manual file management system, which records all the conducted maintenance works. However, a maintenance system should be more complex to include the scheduling of maintenance activities. This paper presents the findings of studies on the implementation of preventive maintenance schedule conducted at Aman Sales And Services Sdn. Bhd. and Ladang Sabah Palm Oil Mill both located in Sabah, Malaysia. In this study, data form previous maintenance works or activities were collected from both companies. The data were then analyzed. The analysis indicates that reduction in time can be obtained by combining similar or repetitive tasks guided by recommendation from the machines’ manuals. This analysis provides foundation for developing an improved preventive maintenance schedule for each company. The new preventive maintenance schedules are found to be able to reduce the breakdown time ranging from as low as 25% to as high as 50%. This reduction signifies the efficiency of the proposed maintenance schedule.

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Forecasting of Palm Oil Fruit Delivery Quantities Using the Trend Adjusted Exponential Smoothing: A Case Study

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.488-489.1277 ◽

2012 ◽

Vol 488-489 ◽

pp. 1277-1281

Author(s):

Noor Ajian Mohd-Lair ◽

Abdul Halim Kudi ◽

Bih Lii Chua ◽

Rosalam Sarbatly

Keyword(s):

Palm Oil ◽

Method Comparison ◽

Oil Industry ◽

Exponential Smoothing ◽

Smoothing Technique ◽

Naive Method ◽

Palm Oil Mill ◽

Forecast Technique ◽

Exponential Smoothing Technique

Palm oil industry has increasingly become the important industry for Malaysia. However, only a limited number of researches have been conducted on improving the palm oil industries. This research attempted to contribute by improving forecast activity along the palm oil industry. Specifically, this research centred on the development of forecast software for a Malaysian based palm oil estate. The developed forecasting software can be used to assist the estate manager in predicting accurately their monthly delivery quantity to the palm oil mill. The forecast technique selected for this research was the trend adjusted exponential smoothing technique. The performance of the trend adjusted exponential smoothing technique based software was then compared to the naïve method. Comparison in the performance indicated that the trend adjusted exponential smoothing produces lower root mean square error, which is equivalent to 14.6% of error produced by the naïve method. This finding emphasises the efficiency of the trend adjusted exponential smoothing in predicting the monthly delivery quantity by the palm oil estate.

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