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Backmatter (Publication Ethics, Copyright Transfer Agreement for Publishing Form) Istadi, Istadi
Bulletin of Chemical Reaction Engineering & Catalysis 2021: BCREC Volume 16 Issue 3 Year 2021 (September 2021)
Publisher : Department of Chemical Engineering - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/bcrec.16.3.11805.App.1-App.5

Abstract

Backmatter (Publication Ethics, Copyright Transfer Agreement for Publishing Form) Istadi, Istadi
Bulletin of Chemical Reaction Engineering & Catalysis 2021: BCREC Volume 16 Issue 1 Year 2021 (March 2021)
Publisher : Department of Chemical Engineering - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/bcrec.16.1.10723.App.1-App.5

Abstract

Backmatter (Publication Ethics, Copyright Transfer Agreement for Publishing Form) Istadi, Istadi
Bulletin of Chemical Reaction Engineering & Catalysis 2021: BCREC Volume 16 Issue 2 Year 2021 (June 2021)
Publisher : Department of Chemical Engineering - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/bcrec.16.2.10987.App.1-App.5

Abstract

Reactivation of the Spent Residue Fluid Catalytic Cracking (RFCC) Catalyst through Acid Treatment for Palm Oil Cracking to Biofuels Amalia, Rahma; Riyanto, Teguh; Istadi, Istadi
TEKNIK Vol. 42, No. 2 (2021): August 2021
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v42i2.39642

Abstract

This work discusses the treated spent Residue Fluid Catalytic Cracking (RFCC) catalysts using sulfuric or citric acids to examine the impact of acid treatment on the catalyst physicochemical properties and structural characteristics. The catalysts were characterized by X-ray diffraction (XRD), X-ray fluorescence (XRF), and Brunauer−Emmett−Teller-Barrett−Joyner−Halenda (BET-BJH) methods. The catalytsts were performed in a continuous fixed-bed reactor for catalytic cracking of palm oil. Changes of the catalyst characteristics and catalytic performance testing of the catalyst after the acid treatment for palm oil cracking process were discussed. It was found that the acid treatment on the spent RFCC catalyst can increase the surface area and pore volume of catalysts as well as the crystallinity. The closed pores in the spent RFCC are opened by acid treatment by eliminating heavy metals. Concerning to the catalytic performance, the acid-treated catalysts had better performance than the non-treated catalyst, which could increase selectivity of the kerosene-diesel range fraction from 47.89% to 55.41%. It was interested, since the non-treated catalyst could not produce gasoline fraction, while the acid-treated catalsysts could produce gasoline fraction at selectivity range of 0.57 – 0.84%. It was suggested that both sulfuric or citric acids treatment could increase the cracking performance of spent RFCC catalyst by shifting the product to lower hydrocarbons.
Backmatter (Publication Ethics, Copyright Transfer Agreement for Publishing Form) Istadi, Istadi
Bulletin of Chemical Reaction Engineering & Catalysis 2021: BCREC Volume 16 Issue 4 Year 2021 (December 2021)
Publisher : Department of Chemical Engineering - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/bcrec.16.4.12436.App.1-App.5

Abstract

Backmatter (Publication Ethics, Copyright Transfer Agreement for Publishing Form) Istadi, Istadi
Bulletin of Chemical Reaction Engineering & Catalysis 2022: BCREC Volume 17 Issue 1 Year 2022 (March 2022)
Publisher : Department of Chemical Engineering - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/bcrec.17.1.13730.App.1-App.5

Abstract

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
STUDI REAKTOR PLASMA DIELECTRIC BARRIER DISCHARGE (DBD) PLANAR TO PLANAR UNTUK PRE-TREATMENT KONVERSI LIMBAH PLASTIK POLIPROPILEN MENJADI BAHAN BAKAR CAIR Aniyati Khoiriyah; M.C.T. Wahyu Utami; I. Istadi
JURNAL TEKNOLOGI KIMIA DAN INDUSTRI Volume 1, Nomor 1, Tahun 2012
Publisher : Jurusan Teknik Kimia, Fakultas Teknik, Universitas Diponegoro,

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (251.212 KB)

Abstract

Polipropilen (PP) is a kind of plastic that is widely used in our life. Plastic wastes give big problems to environment because plastic wastes are not easily degraded by nature. Conventional method for plastic waste processing is thermal cracking and catalytic cracking. The conventional process needs high energy. Plasma technology combined with catalytic cracking process is expected to cover the problems of energy requirement. Distance between both electrodes (high voltage and ground) and high voltage magnitude in plasma reactor is important parameter in plasma reactor operation and type or design of plasma reactor. Optimum of both important parameters need to be studied in order to get optimal operating condition suitable for better productivity. DBD Planar to Planar plasma reactor can be used to pre-crack polipropilen's structure (in the pre-treatment's process) so that catalytic cracking process in fixed bed's reactor conventional that use RCC (Residual Catalytic Cracking) catalyst can be easier to take. On this plasma reactor, distance between both electrodes of 2,5 - 4 cm, and the high voltage of 3-7,5 kV are optimal operating conditions. Combination of the pre-treatment (distance between electrodes 3,3 cm and high voltage 5,3 kV) and  the conventional catalytic cracking process by using weight ratio of catalyst to plastic 2:1 and reactor temperature 500oC and reaction time 1 hour could produce liquid fuel yield of 36,27%.
PEMBUATAN DAN KARAKTERISASI KATALIS HETEROGEN SO 2- - ZnO DAN SO42- / ZnO DENGAN METODE KOPRESIPITASI DAN IMPREGNASI UNTUK PRODUKSI BIODIESEL DARI MINYAK KEDELAI D. A. Rahmawati; D. Intaningrum; Istadi Istadi
JURNAL TEKNOLOGI KIMIA DAN INDUSTRI Volume 2, Nomor 4, Tahun 2013
Publisher : Jurusan Teknik Kimia, Fakultas Teknik, Universitas Diponegoro,

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (562.347 KB)

Abstract

In this reasearch focuses on the physical and chemical 2- characterization of 2- sulfated zinc oxide catalyst SO4 - ZnO with coprecipitation method and SO4 / ZnO impregnation method. The purpose of this study is to prepare the ZnO-based acid catalyst, to determine the characteristics of the catalyst, and the catalyst testin on biodiesel production from soybean oil. The characterization was conducted using X-ray diffraction (XRD) to determine the catalyst morphology and Fourier Transform-Infra Red (FT-IR) to determine the structure of chemical bonds are formed. Identification of the content and composition of biodiesel, mainly on the composition of Fatty Acid Methyl Ester (FAME), were analyzed by GC-MS and by FT-IR. Meanwhile the heat content of the products of 2- biodiesel calorific value is measured. Results of the characterization showe that the SO4 2- - ZnO catalyst has a stronger acidity and higher catalyst activity than acidic SO4 / ZnO catalysts. In the catalyst testing for the transesterification process, the SO42--ZnO catalyst showed the biodiesel yield of 80.19%.