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.

TOTAL PARTICULATE MATTER, PM10, PM2.5 EMISSIONS FROM PALM OIL MILL BOILER

2016 ◽  
Vol 78 (6-11) ◽  
Author(s):  
M. M. Syahirah ◽  
M. Rashid ◽  
J. Nor Ruwaida
Keyword(s):  
Particulate Matter ◽  
Size Distribution ◽  
Palm Oil ◽  
Mass Concentration ◽  
Total Particulate Matter ◽  
Particulate Emission ◽  
Particulate Size ◽  
Particulate Mass ◽  
Palm Oil Mill ◽  
Pm2.5 And Pm10

Utilization of fiber and shell as boiler fuel in palm oil mill industry generates particulate emission that need to be controlled before emitting to the environment. This study investigates the particulate mass size distribution of particulate matter sampled from palm oil mills having different boiler capacities. The particulate emission was performed at the stack following US EPA Method 17 and while the particulate size distribution was determined using particle size analyzer. Results showed that the total particulate mass concentration varied between 0.42 and 3.77 g/Nm3 (corrected at 7% O2). The emitted particulate was mainly found in the coarse particles, with 50% cumulative size distribution ranged from 21 to 38 µm. The particulate mass concentration of PM2.5 and PM10 of the total particulate emission was varied from 0.03 to 0.30 g/Nm3 and 0.37 to 0.73 g/Nm3, respectively. This contributes 0.8 to 71% and 13 to 95% of the total particulate mass concentration, respectively.

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.

EMISSION FACTOR ESTABLISHMENT FOR PALM OIL MILL BOILER

2016 ◽  
Vol 78 (8-3) ◽  
Author(s):  
Nur H. Hanafi ◽  
Mimi H. Hassim ◽  
Mohd R. M. Yusuf
Keyword(s):  
Palm Oil ◽  
Pollution Control ◽  
Emission Factor ◽  
Combustion Process ◽  
Dust Emission ◽  
Air Pollution Control ◽  
Fresh Fruit Bunch ◽  
Particulate Emission ◽  
Total Dust ◽  
Palm Oil Mill

A study to establish the total particulate emission factor (EFs) from boiler of a palm oil mill plant equipped with a multi-cyclones particulate arrestor was performed and reported in this research. The mill employs a 500 kg steam/ h capacity of water-tube typed boiler and processes 60 tonnes per hour of fresh fruit bunch (FFB). The samples of the dust were collected iso-kinetically using the USEPA method 17 sampling train through a sampling port located after a multidust cyclone unit. Results showed that the total dust generated from the boiler is 62.15 g/s and the calculated total dust emission factor based on the boiler capacity is 7.46 g/kg. Poor combustion process is among the main factor that leads to the high particulate emission. EFs data allows for early prediction of pollutants emission, which subsequently will assist in determining the degree of control and the air pollution control system needed, besides evaluating the effectiveness of the existing pollution control strategies. The establishment of EFs for palm oil mills will definitely bring benefits for a better management of health and safety risks in palm oil mills, now and in the future

A Field Evaluation Of Particulate Emission Concentrations In Palm Oil Mill Boilers

1998 ◽  
pp. 1-6 ◽  
Author(s):  
M. Rashid ◽  
M. Ramli ◽  
M. Rozainee
Keyword(s):  
Palm Oil ◽  
Field Evaluation ◽  
Particulate Emissions ◽  
Particulate Emission ◽  
Water Tube ◽  
Control Equipment ◽  
The Mean ◽  
Palm Oil Mill ◽  
Particulate Control ◽  
Sampling Procedures

A field evaluation on particulate emission concentrations from two different types of palm oil mill boilers (i.e water-tube, WT, and fire-tube, FT type boilers) was performed using a standard stack sampling procedures. A total of 12 WT and 12 FT boilers were studied. Six of the 12 WT boilers were equipped with multi-cyclones as a means of controlling particulate emissions from the boilers, whilst all 12 FT boilers were without any form of air particulate control equipment. Results showed that the mean particulate emission concentrations from water-tube type boilers with and without particulate control equipment installed was 1.11 ± 0.58 g/Nm3 and 1.93 ± 1.40 g/Nm3 respectively. There was no significant difference in the particulate emissions between WT boilers with or without particulate control installed. It was found that only one out of the six WT boilers with particulate control was able to meet the emission standards limit of 0.40 g/Nm3 while others were still violating the standard. Meanwhile, the mean particulate emission from all 12 FT type boilers (all were without control) was 0.5 1 ± 0.27 g/Nm3, which was found to be significantly lower (p 0.01) compared to the WT boiler emissions of without particulate control.Apparently, the characteristic of particulate size distributions generated by the two types of boilers could be an important factor affecting the findings and it is discussed further in this paper. Keywords :air pollution, particulate, palm oil mill, boilers.

scholarly journals Performance of a Retrofitted Multicyclone for PM2.5 Emission Control

2018 ◽  
Vol 34 ◽  
pp. 02011
Author(s):  
M Dewika ◽  
M Rashid ◽  
M.R Ammar
Keyword(s):  
Simple Technique ◽  
Collection Efficiency ◽  
Size Fraction ◽  
Inlet Concentration ◽  
Air Flow Rate ◽  
Fine Particulate ◽  
Particulate Size ◽  
Overall Performance ◽  
Particulate Mass ◽  
Induced Draft Fan

This paper presents on the performance of a retrofitted multicyclone system, which aims to increase the collection efficiency of PM2.5 (i.e. particulate size fraction ≤ 2.5 μm) emission. The multicyclone was retrofitted by extracting 15% and 20% of the total volumetric air flow rate at the dust hopper of the unit using an additional Induced Draft Fan. The total collection efficiency with and without the extraction was measured at various air volumetric flow rates and particulate mass inlet concentration. The results showed that there was a reduction of 12% to 54% depending on the inlet concentration of PM2.5 emission in the stack with compared to without extraction increasing the collection efficiency of the retrofitted multicyclone. The finding suggests that a simple technique of applying gas extraction at the dust hopper of a multicyclone as reported in this study able to increase the overall performance in fine particulate collection.

Particulate Emission from Biomass Fuel Combustion

2015 ◽  
Vol 1125 ◽  
pp. 322-326
Author(s):  
J. Nor Ruwaida ◽  
M. Rashid ◽  
M.M. Syahirah
Keyword(s):  
Fly Ash ◽  
Palm Oil ◽  
Oil Industry ◽  
Crude Palm Oil ◽  
Particulate Emission ◽  
Fuel Feed ◽  
The World ◽  
Cogeneration System ◽  
Palm Oil Mill ◽  
Palm Fibre

The remarkable growth of palm oil industry in Malaysia is undeniable. Approximately, one million ton of crude palm oil is produced by the industry in a month, thus put Malaysia as one of the largest producer in the world. Most of the mills are operated on cogeneration system, where the biomass residue of palm fibre and shell are used as fuel in the mill boilers mostly to generate steam and also electricity. This practise however produced considerable amount of particulates in terms of fly ash emitting to the environment. Thus, this study is to evaluate the particulate emission from five palm oil mill boilers with steam capacity ranging from 17-35 tonne/h. The results showed that the average particulate emission concentration exiting the stack was 2.21±1.20 g/Nm3 (corrected to 7% oxygen concentration), ranging from 0.42 to 3.77 g/Nm3. The study suggests that the fuel feed rates of fiber and shell was one of the parameters affecting the emission concentration in the boiler. Particulate morphology were also being presented in this study.

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.

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