scholarly journals Otimização do processo de producão de biodiesel e glicerol a partir do óleo de palma e soja por modelagem no software dwsim / Optimization of biodiesel and glycerol production process from palm oil and soy by modeling in dwsim software

2021 ◽  
Vol 7 (8) ◽  
pp. 77121-77145
Author(s):  
Diogens Marco de Brito Da Cruz ◽  
Camila Manuelle Cardoso Braz Da Silva ◽  
Jeane Denise de Souza Menezes ◽  
Adeildo Moacir Costa Magalhães ◽  
Fabricio Santos De Faro
2019 ◽  
Vol 125 ◽  
pp. 10005
Author(s):  
Yoyon Wahyono ◽  
H. Hadiyanto ◽  
Mochamad Arief Budihardjo ◽  
Widayat

Energy balance analysis study for the production process of biodiesel needs to be done to find out whether a production process of biodiesel activity has a surplus energy or minus energy. This study aims to analyse the balance of energy of the plantation of palm, production of palm oil, and production process units of biodiesel with the life cycle assessment in Banyuasin - Indonesia. The results of this study indicate that the largest energy input in the plantation of palm, production of palm oil, and production process units of biodiesel sequentially is the use of urea as N-fertilizer, electricity, and methanol. The value of NEB and NER in the production process of palm biodiesel sequentially is 5871 MJ and 1.17. Finally, the production process of palm biodiesel in Banyuasin area has a positive energy balance. The activity of production of palm biodiesel is proper to operate because it produces an energy surplus.


2019 ◽  
Vol 255 ◽  
pp. 02001 ◽  
Author(s):  
Inyang John ◽  
Andrew-Munot Magdalene ◽  
Syed Shazali Syed Tarmizi ◽  
Johnathan Tanjong Shirley

This paper reviews key production process for crude palm oil and highlights factors that highly influence the production of crude palm oil. This paper proposes a generic conceptual model for crude palm production process considering these factors. The conceptual model could be modified to consider other factors not included in this paper. The future research would be to construct a simulation model based on the conceptual model proposed in this paper and analyse the effect of these factors on the performance of crude palm oil production system.


2020 ◽  
Vol 7 (3) ◽  
pp. 483
Author(s):  
Tundo Tundo ◽  
Shofwatul 'Uyun

<p>Penelitian ini menerangkan penerapan <em>decision tree</em> J48 dan REPTree dengan menggunakan metode <em>fuzzy Tsukamoto</em> dengan objek yang digunakan adalah penentuan jumlah produksi minyak kelapa sawit di perusahaan PT Tapiana Nadenggan dengan tujuan untuk mengetahui <em>decision tree</em> mana yang hasilnya mendekati dari data sesungguhnya sehingga dapat digunakan untuk membantu memprediksi jumlah produksi minyak kelapa sawit di PT Tapiana Nadenggan ketika proses produksi belum diproses. Digunakannya <em>decision tree</em> J48 dan REPTree yaitu untuk mempercepat dalam pembuatan <em>rule </em>yang digunakan tanpa harus berkonsultasi dengan para pakar dalam menentukan <em>rule</em> yang digunakan. Dari data yang digunakan akurasi dari decision tree J48 adalah 95.2381%, sedangkan akurasi REPTree adalah 90.4762%, akan tetapi dalam kasus ini <em>decision tree</em> REPTree yang lebih tepat digunakan dalam proses prediksi produksi minyak kelapa sawit, karena di uji dengan data sesungguhnya pada bulan Maret tahun 2019 menggunakan REPTree diperoleh 16355835 liter, sedangkan menggunakan J48 diperoleh 11844763 liter, dimana data produksi sesungguhnya sebesar 17920000 liter. Sehingga dapat ditemukan suatu kesimpulan bahwa untuk kasus ini data produksi yang mendekati dengan data sesungguhnya adalah REPTree, meskipun akurasi yang diperoleh lebih kecil dibandingkan dengan J48.</p><p><em><strong>Abstract</strong></em></p><div><p><em>This study explains the application of the J48 and REPTree decision tree using the fuzzy Tsukamoto method with the object used is the determination of the amount of palm oil production in the company PT Tapiana Nadenggan with the aim of knowing which decision tree the results are close to the actual data so that it can be used to help predict the amount palm oil production at PT Tapiana Nadenggan when the production process has not been processed. The use of the J48 and REPTree decision tree is to speed up the rule making that is used without having to consult with experts in determining the rules used. From the data used the accuracy of the J48 decision tree is 95.2381%, while the REPTree accuracy is 90.4762%, but in this case the REPTree decision tree is more appropriate to be used in the prediction process of palm oil production, because it is tested with actual data in March 2019 uses REPTree obtained 16355835 liters, while using J48 obtained 11844763 liters, where the actual production data is 179,20000 liters. So that it can be found a conclusion that for this case the production data approaching the actual data is REPTree, even though the accuracy obtained is smaller compared to J48.</em></p></div><p><em><strong><br /></strong></em></p>


2019 ◽  
Vol 1151 ◽  
pp. 29-33 ◽  
Author(s):  
Karen Acurio ◽  
Andrés Chico-Proano ◽  
Javier Martínez-Gómez ◽  
Marco Orozco

In this study, the use of spent diatomite, an industrial waste in the palm oil production process, was evaluated as a support material for phase change materials (PCMs). Calcination tests of the diatomite were carried out at different temperatures (400, 550 and 700 °C) and times (1 and 2 h). For the PCMs preparation, the organic phase, mixtures of palm oil and commercial stearic acid esters, were impregnated on calcined diatomite under vacuum. Differential scanning calorimetry (DSC) analyses were performed in order to select the PCM with the highest latent heat of fusion and a range of phase change temperature corresponding to the thermal comfort range. DSC, TGA and FT-IR analyses were performed before and after the application of 360 thermal cycles to establish the thermal and chemical reliability of the PCM. It was found that 700 °C and 1 h are the best conditions of the calcination process, and the PCM consisting in 100 % methyl esters of commercial stearic acid presented the highest value of latent heat of fusion (34.67 J/g) and a phase change temperature range of 16.4 to 33.5 °C. After the thermal cycles, the results show that the prepared PCMs has thermal and chemical stability.


Author(s):  
Fitriadi

Lean Manufacturing adalah cara berkelanjutan untuk mencapai keunggulan operasional pada proses produksi dan dapat diterapkan segala sector operasional di pabrik. Lean Manufacturing adalah salah satu cara yang dapat digunakan perusahaan kelapa sawit untuk melihat tingkat pemborosan pada proses produksi, sehingga mampu menekan biaya atau bahkan dapat mengurangi kegiatan yang tidak diperlukan dalam proses produksi. Tahapan yang dilakukan untuk mengetahui tingkat pemborosan yang terjadi pada pabrik kelapa sawit adalah melakukan identifikasi pemborosan, melakukan pemetaan pemborosan dan memberikan usulan perbaikan untuk mengurangi pemborosan. Pemborosan atau waste pada proses produksi pengolahan kelapa sawit didapatkan empat stasiun kerja yang mengalami pemborosan yaitu stasiun kerja penyortiran, stasiun kerja loading ramp, stasiun kerja sterilizer dan stasiun kerja thressing. Berdasarkan hasil identifikasi didapat enam jenis pemborosanyaitu kelebihan produksi (Over Production), Waktu tunggu (waiting time), Perpindahan (Transportation), Pergerakan (motion), Persediaan (Inventory), dan produk cacat (defect). Rekomendasi perbaikan yang diberikan untuk mengatasi masalah pemborosan tersebut adalah memberikan pelatihan kepada operator, mengurangi penyortiran manual, menambah jumlah operator, pelatihan perawatan mesin secara mandiri oleh operator (autonomus maintenance), membuat jadwal perawatan mesin secara harian (Berkala, adanya informasi petunjuk kerja pada setiap stasiun dan melakukan perhitungan persediaan optimal.   Lean Manufacturing is a sustainable way to achieve operational excellence in the production process and can be applied to all operational sectors in the factory. Lean Manufacturing is one method that can be used by oil palm companies to see the level of waste in the production process, so as to reduce costs or even reduce activities that are not needed in the production process. The step taken to find out the level of waste that occurs in the palm oil mill is to identify waste, carry out waste mapping and provide improvement proposals to reduce waste. Waste or waste in the palm oil processing production process obtained four work stations that experienced waste, namely sorting work stations, loading ramp work stations, sterilizer work stations and pressing work stations. Based on the results of identification obtained six types of waste, namely excess production (Over Production), Waiting time (waiting time), Displacement (Transportation), Movement (motion), Inventory (Inventory), and defective products (defects). Recommendations for improvements given to overcome these waste problems are to provide training to operators, reduce manual sorting, increase the number of operators, train machine maintenance independently by operators (autonomous maintenance), schedule daily maintenance of machines (Periodically, information on work instructions for each station and perform optimal inventory calculations.


2013 ◽  
Vol 65 (7) ◽  
pp. 773-781 ◽  
Author(s):  
Seyed Ehsan Hosseini ◽  
Mazlan Abdul Wahid

2020 ◽  
Vol 5 (4) ◽  
pp. 578-583
Author(s):  
Muhammad Nurdiansyah ◽  
Cut Afrinandra

The purpose of this research is to know how the accounting treatment for the scrap materials at PTPN 1 unit PKS Tanjung Seumantoh Aceh Tamiang. The scrap material from the palm oil production process at PTPN 1 unit PKS Tanjung Seumantoh Aceh Tamiang are in the form of palm shells and fiber. The type of this research is qualitative research with descriptive analysis method. The result of shows that the scrap  material for palm kernel shells was recognized as other income and presented in the company’s income statement, while fiber was used as boiler fuel as well as a reduction in manufacturing overhead costs


2021 ◽  
Vol 154 ◽  
pp. 106231
Author(s):  
Papasanee Muanruksa ◽  
Phavit Wongsirichot ◽  
James Winterburn ◽  
Pakawadee Kaewkannetra

2012 ◽  
Vol 42 ◽  
pp. 1292-1301 ◽  
Author(s):  
Lida Simasatitkul ◽  
Rafiqul Gani ◽  
Amornchai Arpornwichanop

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