scholarly journals The experience of retrofit design in using CFRP of building case study of the ramp structure of palm oil mill in South Sumatera

2018 ◽  
Vol 420 ◽  
pp. 012001
Author(s):  
Johannes Tarigan ◽  
Albert Simbolon
Keyword(s):  
Palm Oil ◽  
Palm Oil Mill ◽  
Retrofit Design

scholarly journals Formulating Interest Subsidy Program to Support the Development of Electricity Generation from Palm Oil Mill Effluent (POME) Biomass: An Indonesian Case Study

2018 ◽  
Vol 164 ◽  
pp. 01033
Author(s):  
Noor Syaifudin ◽  
Nurkholis ◽  
Rangga Handika ◽  
Roy Hendroko Setyobudi
Keyword(s):  
Palm Oil ◽  
Electricity Generation ◽  
Cost Benefit ◽  
Palm Oil Mill Effluent ◽  
Financial Feasibility ◽  
Subsidy Program ◽  
Palm Oil Mill ◽  
The Government ◽  
Palm Waste

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.

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

2013 ◽  
Vol 664 ◽  
pp. 133-137 ◽  
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.

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

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.

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

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.

scholarly journals Synthesize a Sustainable Supply Chain of Biomass to Electricity via Mathematical Approach

2021 ◽  
Vol 2120 (1) ◽  
pp. 012001
Author(s):  
Chee Yau Hew ◽  
Li Wan Yoon ◽  
Yoke Kin Wan
Keyword(s):  
Supply Chain ◽  
Palm Oil ◽  
Oil Palm ◽  
Sustainable Supply Chain ◽  
Biomass Waste ◽  
Oil Palm Biomass ◽  
Mathematical Equations ◽  
Palm Oil Mill ◽  
Chp System

Abstract The huge amount of biomass waste and palm oil mill effluent (POME) generated during oil extraction has prompted the need for a more sustainable framework in waste management. Since oil palm biomass waste is rich in lignocellulosic content, it can be potential to be converted into green energy such as bioelectricity via different pathway of processes such as the thermal conversion pathway and biochemical conversion pathway. This study proposes a mathematical approach to synthesise a sustainable supply chain of biomass to electricity by implementing the combined heat and power (CHP) system in palm oil mill. The optimum pathway of supply chain based on the technical, economical, and environmental aspects is generated. The purpose of this approach is to assists the industry players or owners to make decision in choosing the location of the pre-treatment technology, transportation method, location of power plant and configuration of CHP. A generic superstructure is first developed to achieve the objective. Then, a series of generic mathematical equations will then be formulated based on the pathways demonstrated in the generic superstructure. The mathematical equations involve general mass and energy balance, cost computation and carbon emission. The fuzzy optimisation concept will be adopted in this research to trade-off the conflicting objectives (maximize profit and minimize carbon footprint) in order to generate the optimum pathway. A palm oil-based bioelectricity supply chain case study in Selangor, Malaysia is solved to illustrate the presented approach. According to the optimised result in this case study, a total of 3,753.36 MW of bioelectricity can be generated per year. The result proved that the optimum pathway is feasible by comparing with the existing oil palm biomass-based power plant in Sarawak, where only 375 MW of electricity is generated by oil palm biomass. On the other hand, RM 7.25 million per year of net profit is estimated with a payback period of 2.81 years. Moreover, the CHP system is able to achieve 570 million kg CO2 per year.

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