Numerical investigation of sugarcane bagasse gasification using Aspen Plus and response surface methodology

2022 ◽  
Vol 254 ◽  
pp. 115198
Author(s):  
Emmanuel Yeri Kombe ◽  
Nickson Lang'at ◽  
Paul Njogu ◽  
Reiner Malessa ◽  
Christian-Toralf Weber ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Numerical Investigation ◽  
Sugarcane Bagasse ◽  
Aspen Plus

scholarly journals Numerical investigation of gas‐liquid displacement between borehole and gassy fracture using response surface methodology

2019 ◽  
Vol 8 (3) ◽  
pp. 740-754
Author(s):  
Tianshou Ma ◽  
Tao Tang ◽  
Ping Chen ◽  
Zhilin Li ◽  
Shaohu Liu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Numerical Investigation ◽  
Liquid Displacement

Application of response surface methodology to optimize the fabrication of ZnCl2-activated carbon from sugarcane bagasse for the removal of Cu2+

2017 ◽  
Vol 75 (9) ◽  
pp. 2047-2055 ◽  
Author(s):  
Thuan Van Tran ◽  
Quynh Thi Phuong Bui ◽  
Trinh Duy Nguyen ◽  
Van Thi Thanh Ho ◽  
Long Giang Bach
Keyword(s):  
Response Surface Methodology ◽  
Activated Carbon ◽  
Response Surface ◽  
Sugarcane Bagasse ◽  
Interactive Effect ◽  
Chemical Activation ◽  
High Surface ◽  
High Surface Area ◽  
Aqueous Environment ◽  
Activation Temperature

The present study focused on the application of response surface methodology to optimize the fabrication of activated carbon (AC) from sugarcane bagasse for adsorption of Cu2+ ion. The AC was synthesized via chemical activation with ZnCl2 as the activating agent. The central composite design based experiments were performed to assess the individual and interactive effect of influential parameters, including activation temperature, ZnCl2 impregnation ratio and activation time on the AC yield and removal of Cu2+ ion from the aqueous environment. The statistically significant, well-fitting quadratic regression models were successfully developed as confirmed by high F- and low P-values (<0.0001), high correlation coefficients and lack-of-fit tests. Accordingly, the optimum AC yield and removal efficiency of Cu2+ were predicted, respectively, as 48.8% and 92.7% which were approximate to the actual values. By applying the predicted optimal parameters, the AC shows a surprisingly high surface area of around 1,500 m2/g accompanied by large pore volume and narrow micropore size at low fabrication temperature.

Numerical Investigation of Themal Efficiency and Pumping Power of Al2O3/H2O Nanofluid in Pipe Using Response Surface Methodology

2019 ◽  
Vol 8 (7) ◽  
pp. 1566-1576 ◽  
Author(s):  
Olatomide G. Fadodun ◽  
Adebimpe A. Amosun ◽  
Johnson A. Ogundeji ◽  
David O. Olaloye
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Numerical Investigation ◽  
Pumping Power

scholarly journals Optimization of Oil Removal by Sugarcane Bagasse using Response Surface Methodology

2021 ◽  
Vol 4 (2) ◽  
pp. 82-87
Author(s):  
Asilah Ahmad Samsuir ◽  
Norhisyam Ismail ◽  
Rozidaini Mohd Ghazi
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Sugarcane Bagasse ◽  
Contact Time ◽  
Oil Pollution ◽  
Oil Removal ◽  
Industrial Growth ◽  
Synthetic Oil ◽  
Exploration And Production ◽  
Oil Wastewater

Oily wastewater is one of the environmental concerns nowadays. The seriousness of oil pollution problem comes in sync with the expansion of oil exploration and production activities, as well as industrial growth around the world. In this study, the ability of sugarcane bagasse in removing oil in synthetic oil wastewater was investigated. Parameters affecting oil removal such as concentrations of synthetic oil wastewater, biosorbent dosage and contact time were optimized using Response Surface Methodology (RSM) via Box Behnken Design. Sugarcane bagasse showed excellent efficiency in removing oil with percentage removal up to 98.73% at 1.3 h contact time with 3.06 g of biosorbent dosage and 16.9% of synthetic oil wastewater concentration. The use of sugarcane bagasse in removing oil in water was successfully prove in this study.

scholarly journals Response Surface Methodology to Optimize Methane Production from Mesophilic Anaerobic Co-Digestion of Oily-Biological Sludge and Sugarcane Bagasse

2020 ◽  
Vol 12 (5) ◽  
pp. 2116 ◽  
Author(s):  
Aiban Abdulhakim Saeed Ghaleb ◽  
Shamsul Rahman Mohamed Kutty ◽  
Yeek-Chia Ho ◽  
Ahmad Hussaini Jagaba ◽  
Azmatullah Noor ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Anaerobic Digestion ◽  
Response Surface ◽  
Sugarcane Bagasse ◽  
Organic Waste ◽  
Waste To Energy ◽  
Methane Yield ◽  
Digestion Process ◽  
Biological Sludge ◽  
Methane Bacteria

Oily-biological sludge (OBS) generated from petroleum refineries has high toxicity. Therefore, it needs an appropriate disposal method to reduce the negative impacts on the environment. The anaerobic co-digestion process is an effective method that manages and converts organic waste to energy. For effective anaerobic digestion, a co-substrate would be required to provide a suitable environment for anaerobic bacteria. In oily-biological sludge, the carbon/nitrogen (C/N) ratio and volatile solids (VS) content are very low. Therefore, it needs to be digested with organic waste that has a high C/N ratio and high VS content. This study investigates the use of sugarcane bagasse (SB) as an effective co-substrate due to its high C/N ratio and high VS content to improve the anaerobic co-digestion process with oily-biological sludge. The sugarcane bagasse also helps to delay the toxicity effect of the methane bacteria. Batch anaerobic co-digestion of oily-biological sludge was conducted with sugarcane bagasse as a co-substrate in twelve reactors with two-liter capacity, each under mesophilic conditions. The interaction effect of a C/N ratio of 20-30 and a VS co-substrate/VS inoculum ratio of 0.06-0.18 on the methane yield (mL CH4/g VSremoved) was investigated. Before the anaerobic digestion, thermochemical pre-treatment of the inoculum and co-substrate was conducted using sodium hydroxide to balance their acidic nature and provide a suitable pH environment for methane bacteria. Design and optimization for the mixing ratios were carried out by central composite design-response surface methodology (CCD-RSM). The highest predicted methane yield was found to be 63.52 mL CH4/g VSremoved, under optimum conditions (C/N ratio of 30 and co-substrate/inoculum ratio of 0.18).

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