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Journal : Reaktor

PLASTIC WASTE CONVERSION TO LIQUID FUELS OVER MODIFIED-RESIDUAL CATALYTIC CRACKING CATALYSTS: MODELING AND OPTIMIZATION USING HYBRID ARTIFICIAL NEURAL NETWORK – GENETIC ALGORITHM Istadi Istadi; Luqman Buchori; Suherman Suherman
Reaktor Volume 13, Nomor 3, Juni 2011
Publisher : Dept. of Chemical Engineering, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (409.398 KB) | DOI: 10.14710/reaktor.13.3.131-139

Abstract

The plastic waste utilization can be addressed toward different valuable products. A promising technology for the utilization is by converting it to fuels. Simultaneous modeling and optimization representing effect of reactor temperature, catalyst calcinations temperature, and plastic/catalyst weight ratio toward performance of liquid fuel production was studied over modified catalyst waste. The optimization was performed to find optimal operating conditions (reactor temperature, catalyst calcination temperature, and plastic/catalyst weight ratio) that maximize the liquid fuel product. A Hybrid Artificial Neural Network-Genetic Algorithm (ANN-GA) method was used for the modeling and optimization, respectively. The variable interaction between the reactor temperature, catalyst calcination temperature, as well as plastic/catalyst ratio is presented in surface plots. From the GC-MS characterization, the liquid fuels product was mainly composed of C4 to C13 hydrocarbons.KONVERSI LIMBAH PLASTIK MENJADI BAHAN BAKAR CAIR DENGAN METODE PERENGKAHAN KATALITIK MENGGUNAKAN KATALIS BEKAS YANG TERMODIFIKASI: PEMODELAN DAN OPTIMASI MENGGUNAKAN GABUNGAN METODE ARTIFICIAL NEURAL NETWORK DAN GENETIC ALGORITHM. Pemanfaatan limbah plastik dapat dilakukan untuk menghasilkan produk yang lebih bernilai tinggi. Salah satu teknologi yang menjanjikan adalah dengan mengkonversikannya menjadi bahan bakar. Permodelan, simulasi dan optimisasi simultan yang menggambarkan efek dari suhu reaktor, suhu kalsinasi katalis, dan rasio berat plastik/katalis terhadap kinerja produksi bahan bakar cair telah dipelajari menggunakan katalis bekas termodifikasi Optimisasi ini ditujukan untuk mencari kondisi operasi optimum (suhu reaktor, suhu kalsinasi katalis, dan rasio berat plastik/katalis) yang memaksimalkan produk bahan bakar cair. Metode Hybrid Artificial Neural Network-Genetic Algorithm (ANN-GA) telah digunakan untuk permodelan dan optimisasi simultan tersebut. Inetraksi antar variabel suhu reaktor, suhu kalsinasi katalis, dan rasio berat plastik/katalis digambarkan dalam bentuk plot surface. Berdasarkan karakterisasi GC-MS, produk bahan bakar yang diperoleh terdiri dari komponen-komponen hidrokarbon C4-C13.
APLICATION OF CATALYTIC DIELECTRIC BARRIER DISCHARGE PLASMA REACTOR FOR CO-GENERATION OF SYNTHESIS GAS AND HIGHER HYDROCARBONS istadi istadi; Amin N.A.S. Amin
Reaktor Volume 10 No. 1 Juni 2006
Publisher : Dept. of Chemical Engineering, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/reaktor.10.1.17-23

Abstract

This paper deals with potential application of hybrid catalytic DBD plasma reaktor for the co-generation of  C2 hydrocarbons and synthesis gases from methane and carbon dioxide. The synergism of the catalyst, feed ratio and the plasma discharge affect the products, distribution, particularly C2 hydrocarbons selectivity . The CH,CO2 feed ratio total feed flow rate, and the discharge voltage incatalytic BDB plasma reactor systems shoe significant effects on the reactor performances. However increasing the reactor wall temperature has no apparent influence on the selectivity to C2 hydrocarbons and hydrogen within the investigated range. The hybrid catalytic DBD plasma rectorwas more suitable for CO2OCM process than the conventional catalytic reactor over CaO-MnO/CeO2catalyst
Effect of Ni-Co Ratio on ZSM-5 Catalyst Performance in Palm Oil Hydrocracking for Biofuel Production Istadi, I.; Riyanto, Teguh; Permatasari, Astrid Eka; Dinara, Daniella Cipta
Reaktor Volume 25 No.1 April 2025
Publisher : Department of Chemical Engineering, Faculty of Engineering, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/reaktor.0.0.%p

Abstract

Biofuel derived from vegetable oil can be utilized as a vehicle fuel with various advantages, such as renewability, environmental friendliness, and sustainable availability. One of the methods for converting vegetable oil into biofuel is hydrocracking. This study investigates Ni-Co/ZSM-5 catalyst with Ni-Co metal ratios of 1:0.5, 1:1, and 1:1.5 to examine their effects on the catalyst characteristics and performance in the hydrocracking process of palm oil into biofuel. The catalyst synthesis was carried out using the co-impregnation method with ultrasound assistance, followed by characterization using XRD and XRF. The hydrocracking process was conducted at a temperature of 450℃ and a WHSV of 0.1 min-1, while the gas product was analyzed using GC and liquid product was distilled. XRF results showed that the actual Ni-Co ratio did not significantly differ from the designed ratio. XRD analysis indicated crystal agglomeration at a 1:1.5 ratio due to competition between Ni and Co metal particles diffusing into the zeolite pores, as well as the presence of dislocations and crystal defects. Differences in catalyst characteristics resulted in variations in yield, selectivity, and gas distribution in the hydrocracking process. The catalyst with a Ni-Co ratio of 1:1.5 exhibited the highest liquid product yield and biogasoline selectivity but also produced a higher concentration of CO, CO2, and C2 gases. It is associated with the breakdown of triglycerides into fatty acids, which subsequently fragment into shorter-chain biofuel components.
Co-Authors Afriadie, Chandra Ajeng Riswanti Wulandari Alqurni, Wais Amalia, Rahma Amin N.A.S. Amin Amin Nugroho Aminuyati Anggun Kurniawan Anindita Indriana Aniyati Khoiriyah Anwar Muttaqien, Anwar Anwaruddin Hisyam Anwaruddin Hisyam Ardian D. Yudhistira Ardian Dwi Yudhistira Aribowo, Windarto Astri Rakhmawati Atanasius Priharyoto Bayuseno Bahrudin, Moh. Bambang Pramudono Bambang Tri Nugroho Bintang Ayu Kalimantini Chusnul Khotimah D. A. Rahmawati D. Intaningrum Daniel Setiyo Nugroho Daniel Setiyo Nugroho, Daniel Setiyo Dian Rahmayanti Didi D. Anggoro Didi D. Anggoro Didi D. Anggoro Didi D. Anggoro Didi Dwi Anggoro Dinara, Daniella Cipta Dini Wulandari Dorothy Hoo Wei Ling Dyah Hesti Wardhani Eko Hidayanto Fachmy Adji Pangestu Setiawan Fajar Astuti Febriansyar, Rosyad Adrian Haniif Prasetiawan Heri Mulyanti Heri Sutanto Herlina Hidayati Iis Nurhasanah Inshani Utami Inshani Utami Karimullah, Suud Sarim Kursius, Catherine M. Kursius, Catherine Mentaya Luqman Buchori M.C.T. Wahyu Utami Maryanto - Muhamad, Theobroma Guntur Nani Harihastuti, Nani New Pei Yee Nofi Marlini Nor Aishah Saidina Amin Nor Aishah Saidina Amin Nor Aishah Saidina Amin P Purwanto Pakpahan, Agnes J. Pakpahan, Andre W. S. Permatasari, Astrid Eka Pratiwi, A. Andini Radisya Purwanto . Purwanto Purwanto Purwanto Purwanto Putut Marwoto Qotrunnada, Novaya Aulia Rahmat Gernowo Ratna Dewi Kusumaningtyas Riyanto, Teguh Roikhatus Solikhah Roikhatus Solikhah Salsabila, Unik Hanifah Salsabilla, Alda Saputra, Roni Ade Sitompul, J. P Slamet Priyanto Suherman Suherman Sulistyo Sulistyo Teguh Riyanto Teuku Irfan Maulana Udin Mabruro Wahyu Ambikawati Wulandari, Ajeng Riswanti