Prediction of carbondioxide emissions from crude palm oil industry case study: Palm Oil Mill X in Kampar Regency of Riau Province

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.

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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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INSTABILITAS RENDEMEN CPO PADA INDUSTRI MINYAK SAWIT [CPO Yield Instability on Palm Oil Industry]

Jurnal Teknologi & Industri Hasil Pertanian ◽

10.23960/jtihp.v23i2.82-88 ◽

2018 ◽

Vol 23 (2) ◽

pp. 82

Author(s):

Fradana Subagya ◽

Endy Suwondo

Keyword(s):

Palm Oil ◽

Raw Materials ◽

Oil Industry ◽

Causative Factor ◽

Production Equipment ◽

Influential Factor ◽

Crude Palm Oil ◽

Palm Oil Mill ◽

Fresh Fruit Bunches

The problem faced by the palm oil industry today is the instability of the Crude Palm Oil (CPO) yield. The condition of Fresh Fruit Bunches (FFB) starting from the time of harvesting to transporting to the factory, including during stockpiling at the palm oil mill, is an influential factor affecting the yield of CPO. This study aimed to find the factors causing instability of CPO yield in the palm oil industry. I-MR control maps and fishbone diagrams were used to analyze the factors that cause low CPO yields. From the data analysis for three years, the evidence of CPO yield was not statistically controlled. The causative factor of CPO yield instability included the quality of raw materials, production equipment, character of workers, and environmental conditions, with the dominating factor was the low quality of raw materials.

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Technical problems of wastewater treatment plant in crude palm oil industry A case study in PT Socfin Indonesia-Kebun Sungai Liput, Nang groe Aceh Darussalam Province

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/65/1/012048 ◽

2017 ◽

Vol 65 ◽

pp. 012048 ◽

Cited By ~ 2

Author(s):

Y V Paramitadevi ◽

Rahmatullah

Keyword(s):

Wastewater Treatment ◽

Palm Oil ◽

Wastewater Treatment Plant ◽

Treatment Plant ◽

Oil Industry ◽

Crude Palm Oil ◽

Technical Problems

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Synthesis of Fe and Zn Organic Fertilizer From Palm Oil Waste

Indonesian Journal of Chemical Science and Technology (IJCST) ◽

10.24114/ijcst.v3i2.19528 ◽

2020 ◽

Vol 3 (2) ◽

pp. 57

Author(s):

Lelita Rosanna Banjarnahor ◽

Siti Rahmah ◽

Marini Damanik ◽

Moondra Zubir

Keyword(s):

Palm Oil ◽

Organic Waste ◽

Positive Impact ◽

Organic Fertilizer ◽

Palm Kernel ◽

Oil Industry ◽

Crude Palm Oil ◽

Kernel Oil ◽

Palm Oil Mill ◽

Fresh Fruit Bunches

Indonesia has been placed as the world's first producer of crude palm oil and crude palm oil. In producing crude palm oil (CPO) and palm kernel oil (PKO), the palm oil industry relies heavily on processing fresh fruit bunches (FFB) at palm oil mills (POM) and is traded internationally. However, this process also produces solid organic waste [ i.e. empty bunches (EFB)], which reach up to 25 %% of FFB. The analysis shows that the application of empty bunches as organic fertilizer has not been able to increase the amount of nutrients in palm oil leaves and increase palm oil production. Application of palm oil mill effluent which is able to increase the amount of nutrients in palm oil, especially nitrogen and phosphate, and a positive impact to increase the production of oil palm plantations, especially on productivity (tons / ha).

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