Effect of pyrolysis temperature and biomass particle size on the heating value of biocoal and optimization using response surface methodology

2021 ◽  
Vol 151 ◽  
pp. 106163
Author(s):  
Ali El Hanandeh ◽  
Ammar Albalasmeh ◽  
Mamoun Gharaibeh
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Pyrolysis Temperature ◽  
Heating Value ◽  
Biomass Particle Size

scholarly journals Optimasi Kadar Ultimate dan Tingkat Kebasaan Bio-arang Limbah Kayu Durian sebagai Pembenah Tanah

2021 ◽  
Vol 11 (02) ◽  
pp. 59
Author(s):  
Heri Soedarmanto ◽  
Evy Setiawaty ◽  
Taufik Iskandar
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Oil And Gas ◽  
Pyrolysis Temperature ◽  
Raw Materials ◽  
Wood Waste ◽  
Quadratic Model ◽  
Ph Optimum ◽  
Pyrolysis Of Biomass

Konversi biomassa melalui pirolisis menghasilkan bio-arang, bio-minyak dan gas. Pirolisis biomassa dipengaruhi oleh kondisi pirolisis seperti bahan baku dan suhu pirolisis. Tujuan dari penelitian ini adalah menganalisis kondisi optimum kadar ultimate (CHO) dan pH bio-arang berdasarkan ukuran partikel bahan baku limbah kayu durian dan suhu pirolisis sebagai pembenah tanah. Limbah kayu durian yang digunakan dalam penelitian ini berukuran diameter 0,17–0,42 mm; 0,42–1,00 mm; dan 1,00–2,83 mm, dengan variasi suhu pirolisis 350°C, 450°C, dan 550°C sebanyak tiga kali ulangan. Optimasi menggunakan metode Response Surface Methodology. Berdasarkan model kuadratik, didapatkan kadar karbon optimum bio-arang sebesar 81,78% dengan ukuran partikel bahan baku pada 2,09 mm dan suhu pirolisis 530,5oC. Kadar hidrogen optimum bio-arang sebesar 3,35% dengan ukuran partikel bahan baku 2,89 mm dan suhu pirolisis 547,4oC. Kadar oksigen optimum bio-arang sebesar 12,22% dengan ukuran partikel bahan baku 1,89 mm dan suhu pirolisis 529,5oC. pH optimum bio-arang sebesar 8,35 dengan ukuran partikel bahan baku 0,6 mm dan suhu pirolisis 521,8oC. Kondisi proses terbaik untuk menghasilkan kadar ultimate dan pH yang paling optimal berada pada range ukuran diameter bahan baku 0,6 mm–2,89 mm dan suhu pirolisis sebesar 521,8oC–547,4oC.  The Optimization of Ultimate Levels and Basicity of Durian Wood Waste Biochar as Soil AmendmentAbstractBiomass conversion through pyrolysis produces biochar, bio-oil and gas. Pyrolysis of biomass is influenced by pyrolysis conditions such as raw materials and pyrolysis temperature. The purpose of this study was to analyze the optimum conditions for ultimate levels (CHO) and pH of biochar based on the particle size of the durian wood waste and the pyrolysis temperature as soil amendment. Particle sizes of durian waste were 0.17–0.42 mm; 0.42–1.00 mm; and 1.00–2.83 mm in diameter where pyrolysis temperatures were 350°C; 450°C; and 550°C. Optimization was used by the Response Surface Methodology method. Based on the quadratic model, the optimum carbon content of biochar was 81.78% with the particle size at 2.09 mm and the pyrolysis temperature of 530.5oC. The optimum hydrogen content of biochar was 3.35% with a particle size of 2.89 mm and a pyrolysis temperature of 547.4oC. The optimum oxygen content of biochar was 12.22% with a particle size of 1.89 mm and a pyrolysis temperature of 529.5oC. The optimum pH of biochar was 8.35 with a particle size of 0.6 mm and a pyrolysis temperature of 521.8oC. The most optimal ultimate levels and pH were in the diameter size range of 0.6 mm-2.89 mm and pyrolysis temperature of 521.8oC-547.4oC.

scholarly journals OPTIMIZATION OF REFLUX EXTRACTION FOR CAESALPINIA SAPPAN LINN. WOOD BY USING RESPONSE SURFACE METHODOLOGY

2020 ◽  
Vol 83 (1) ◽  
pp. 85-92
Author(s):  
Mohd Azahar Mohd Ariff ◽  
Muhammad Syafiq Abd Jalil ◽  
Noor ‘Aina Abdul Razak ◽  
Jefri Jaapar
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Drinking Water ◽  
Response Surface ◽  
Extraction Time ◽  
Percentage Error ◽  
Optimum Conditions ◽  
Caesalpinia Sappan ◽  
The Mean ◽  
Repeated Runs

Caesalpinia sappan linn. (CSL) is a plant which is also known as Sepang tree contains various medicinal values such as to treat diarrhea, skin rashes, syphilis, jaundice, drinking water for blood purifying, diabetes, and to improve skin complexion. The aim of this study is to obtain the most optimum condition in terms of the ratio of sample to solvent, particle size, and extraction time to get the highest amount of concentration of the CSL extract. In this study, the ranges of each parameters used were: ratio sample to solvent: 1.0:20, 1.5:20, 2.0:20, 2.5:20, 3.0:20, particle size: 1 mm, 500 um, 250 um, 125 um, 63 um, and extraction time: 1 hr, 2 hr, 3 hr, 4 hr, 5 hr. The concentration was analyzed using a UV-vis spectrophotometer. The optimum conditions were obtained by response surface methodology. From the design, 20 samples were run throughout this experiment. The optimized value from the RSM were 2.0:20 for ratio sample to solvent, 125 µm of particle size and 2.48 hours with the concentration of 37.1184 ppm. The accuracy of the predictive model was validated with 2 repeated runs and the mean percentage error was less than 3%. This confirmed the model’s capability for optimizing the conditions for the reflux extraction of CSL’s wood.

scholarly journals A study of in situ fluid bed melt granulation using response surface methodology / Uporaba metodologije odgovornih površin za študij in situ granulacije s talinami v zvrtinčenih plasteh

2012 ◽  
Vol 62 (4) ◽  
pp. 497-513 ◽  
Author(s):  
Simon Kukec ◽  
Franc Vrečer ◽  
Rok Dreu
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Air Temperature ◽  
Binder Content ◽  
Drug Dissolution ◽  
Optimal Process ◽  
Fluid Bed ◽  
Melt Granulation

The objective of this work was to investigate the influence of selected individual variables (binder content, inlet air temperature, and product endpoint temperature) of in situ fluid bed melt granulation on the granule particle size distribution and percentage of dissolved carvedilol using a three-factor, five-level circumscribed central composite design. Increased binder content had the effect of increasing the granule particle size and drug dissolution rate. The effect of inlet air temperature and product endpoint temperature was found to be more pronounced in case of granule particle size parameters. Within the studied intervals, the optimal quantity of binder as well as optimal process parameters were identified and validated using response surface methodology. Utilizing these optimal process and formulation parameters, successful scaling up of the fluid bed melt granulation process was carried out. Granule characteristics obtained at pilot scale are comparable to those obtained at laboratory scale.

Adsorption characteristics of ammonium exchange by zeolite and the optimal application in the tertiary treatment of coking wastewater using response surface methodology

2013 ◽  
Vol 67 (3) ◽  
pp. 619-627 ◽  
Author(s):  
Cui Zhao ◽  
Zhongyuan Zheng ◽  
Jing Zhang ◽  
Donghui Wen ◽  
Xiaoyan Tang
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Rate ◽  
Batch Reactor ◽  
Initial Dosage ◽  
Coking Wastewater ◽  
Scanning Electron Micrographs ◽  
Tertiary Treatment ◽  
Ammonium Removal

Natural zeolite is a favorable NH4+-ion exchanger in the tertiary wastewater treatment. In this study, a natural Chinese zeolite was anatomized using the mercury injection method, X-ray diffraction, and scanning electron micrographs. The kinetic process of ammonium adsorption onto the zeolite was best described by the pseudo second order model; the adsorption equilibrium data fitted better to the Freundlich isotherm; and the exchange between ammonium and alkali/alkaline earth cations was in the order of Na+ > Ca2+ > K+ > Mg2+. Finally, the zeolite powder was applied for the tertiary treatment of coking wastewater, which still contained high concentration of ammonium after the secondary treatment by a sequencing batch reactor. The Box–Behnken design was used to design the experimental protocol, and the response surface methodology (RSM) was used for the optimization of adsorption factors. The RSM analysis showed the optimal adsorption factors as particle size, 0.03 mm; initial dosage of zeolite powder, 50.0 g/L; and contact time, 24 h. The highest ammonium removal rate was 75.0% predicted by the RMS. Considering settleability of the zeolite powder, the particle size of 0.25 mm was recommended in practice with a little loss of the ammonium removal: 70.9% as the RMS predicted.

scholarly journals Modeling of Sulfite Concentration, Particle Size, and Reaction Time in Lignosulfonate Production from Barley Straw Using Response Surface Methodology and Artificial Neural Network

BioResources ◽  
2016 ◽  
Vol 11 (4) ◽  
Author(s):  
Maria Guadalupe Serna-Diaz ◽  
Ainhoa Arana-Cuenca ◽  
Joselito Medina-Marin ◽  
Juan Carlos Seck-Tuoh-Mora ◽  
Yuridia Mercado-Flores ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Particle Size ◽  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
Barley Straw ◽  
Artificial Neural

Pyrolytic Oil Yield from Waste Plastic in Quezon City, Philippines: Optimization Using Response Surface Methodology

2021 ◽  
Vol 11 (1) ◽  
pp. 325-332
Author(s):  
Joselito Abierta Olalo
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Mathematical Models ◽  
Response Surface ◽  
Residence Time ◽  
Thermal Processing ◽  
Oil Yield ◽  
Box Behnken Design ◽  
Pyrolysis Method ◽  
Pyrolytic Oil

Plastics play an essential role in packaging materials because of their durability to different environmental conditions. With its importance in the community lies the problem with waste disposal. Plastic is a non-biodegradable material, making it a big problem, especially when thrown in dumpsites. In solving the plastic problem, one efficient way to reduce its volume is through thermal processing such as pyrolysis. This study used the pyrolysis method to recover energy from plastic waste. Liquid oil from plastic was comparable to regular fuel used in powering engines. Before the pyrolysis process, a 3k factorial Box-Behnken Design was used in determining the number of experiments to be used. The output oil yield in each pyrolysis runs was optimized in different parameters, such as temperature, residence time, and particle size using response surface methodology to determine the optimum oil yield.  Between polyethylene (PE), mixed plastic, and polystyrene (PS), PS produced its highest oil yield of 90 %. In comparison, mixed plastic produced only its highest oil yield of 45 % in 500 ºC temperature, 120 min residence time, and 3 cm particle size. The produced quadratic mathematical models in PE, mixed, and PS plastic were significant in which the p-values were less than 0.05. Using mathematical models, the optimum oil yield for PE (467.68 ºC, 120 min residence time, 2 cm particle size), mixed (500 ºC, 120 min residence time, 2.75 cm particle size) and PS plastic (500 ºC, 120 min residence time, 2 cm particle size) were 75.39 %, 46.74 %, and 91.38 %, respectively

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