Economic potential of diesel-like renewable fuel production from the by-product of the palm oil refining process

2016 ◽  
pp. 181-186
Keyword(s):  
Palm Oil ◽  
Refining Process ◽  
Oil Refining ◽  
Economic Potential ◽  
Fuel Production ◽  
Renewable Fuel

Fatty acids residue from palm oil refining process as feedstock for lipase catalyzed monoacylglicerol production under batch and continuous flow conditions

2012 ◽  
Vol 77 ◽  
pp. 53-58 ◽  
Author(s):  
Ivaldo I. Junior ◽  
Marcela C. Flores ◽  
Felipe K. Sutili ◽  
Selma G.F. Leite ◽  
Leandro S. de M. e Miranda ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Palm Oil ◽  
Continuous Flow ◽  
Refining Process ◽  
Oil Refining ◽  
Flow Conditions

Evaluation of the energy saving opportunities for palm oil refining process: Sahabat Oil Products (SOP) in Lahad Datu, Malaysia

2016 ◽  
Vol 18 (8) ◽  
pp. 2453-2465 ◽  
Author(s):  
Seri Rahimah Lidu ◽  
Nurul‘Ain Mohamed ◽  
Jiří Jaromír Klemeš ◽  
Petar Sabev Varbanov ◽  
Suzana Yusup
Keyword(s):  
Energy Saving ◽  
Palm Oil ◽  
Refining Process ◽  
Oil Products ◽  
Oil Refining

scholarly journals A Graph-Based Dynamic Modeling for Palm Oil Refining Process

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 523
Author(s):  
Azmirul Ashaari ◽  
Tahir Ahmad ◽  
Siti Rahmah Awang ◽  
Noorsufia Abd Shukor
Keyword(s):  
Mathematical Modeling ◽  
Dynamic Modeling ◽  
Palm Oil ◽  
Chemical Compounds ◽  
Mathematical Concept ◽  
Refining Process ◽  
Oil Refining ◽  
System Parameters ◽  
In The Beginning ◽  
Mathematical Modeling Technique

Graph theory is a well-established mathematical concept that is widely used in numerous applications such as in biology, chemistry and network analysis. The advancement in the theory of graph has led to the development of a concept called autocatalytic set. In this paper, a mathematical modeling technique namely graph-based dynamic modeling of palm oil refining process is introduced. The system parameters are identified in detail in the beginning of the paper. The parameters involved are the chemical compounds used or produced during the refining process. These identified parameters are then modeled as the vertices and edges of the graph. The dynamicity of the system is then simulated and analyzed. The system is simulated using MATLAB software programing. The two final products produced by the refining process agreed with results obtained from other published methods. Hence, the effectiveness and simplicity of the model are established.

scholarly journals Modeling and Optimization of Microwave-Based Bio-Jet Fuel from Coconut Oil: Investigation of Response Surface Methodology (RSM) and Artificial Neural Network Methodology (ANN)

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 295
Author(s):  
Mei Yin Ong ◽  
Saifuddin Nomanbhay ◽  
Fitranto Kusumo ◽  
Raja Mohamad Hafriz Raja Shahruzzaman ◽  
Abd Halim Shamsuddin
Keyword(s):  
Statistical Tests ◽  
Coconut Oil ◽  
Jet Fuel ◽  
Molar Ratio ◽  
Ann Model ◽  
Fuel Production ◽  
Turbine Engine ◽  
Renewable Fuel ◽  
American Society ◽  
Better Than

In this study, coconut oils have been transesterified with ethanol using microwave technology. The product obtained (biodiesel and FAEE) was then fractional distillated under vacuum to collect bio-kerosene or bio-jet fuel, which is a renewable fuel to operate a gas turbine engine. This process was modeled using RSM and ANN for optimization purposes. The developed models were proved to be reliable and accurate through different statistical tests and the results showed that ANN modeling was better than RSM. Based on the study, the optimum bio-jet fuel production yield of 74.45 wt% could be achieved with an ethanol–oil molar ratio of 9.25:1 under microwave irradiation with a power of 163.69 W for 12.66 min. This predicted value was obtained from the ANN model that has been optimized with ACO. Besides that, the sensitivity analysis indicated that microwave power offers a dominant impact on the results, followed by the reaction time and lastly ethanol–oil molar ratio. The properties of the bio-jet fuel obtained in this work was also measured and compared with American Society for Testing and Materials (ASTM) D1655 standard.

scholarly journals An Assessment Of Microalgal Biodiesel With Acetone, Butanol and Ethanol Using LIfe Cycle Assessment (LCA) Methodology

2021 ◽  
Author(s):  
Cherilyn Dignan
Keyword(s):  
Fossil Fuels ◽  
Ghg Emissions ◽  
Primary Energy ◽  
Biofuel Production ◽  
Production Model ◽  
Lca Methodology ◽  
Fuel Production ◽  
Renewable Fuel ◽  
Production Processes ◽  
Microalgal Biodiesel

Canada, as one of the largest producers and consumers of fossil fuels per capita on the planet, is attempting to reduce greenhouse gas (GHG) emissions. In order to accomplish this, fuel alternatives, such as biofuel, are required. Accordingly, this study uses LCA methodology to quantify the GHG impact of a unique biofuel production model. This unique model produces biodiesel (BD), acetone, butanol and ethanol (ABE) from microalgae and assesses the process GHG impact against other microalgal BD production processes. This study’s microalgal BD and ABE production process produces 76 kgCO2e per functional unit, whereas other comparable microalgal BD production processes produce between 3.7 and 85 kgCO2e. Overall, this study clarifies that without the development of versatile infrastructure to accommodate biofuel production, LCA studies will continue to find renewable fuel production processes net GHG positive for the simple reason that fossil resources are still the primary energy source.

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