INTRODUCTION
LITERATURE REVIEW
RESEARCH METHODOLOGY
DATA PRESENTATION AND ANALYSIS
SUMMARY, CONCLUSION AND RECOMMENDATIONS
This study was undertaken to scale up a 30 litre per hour biodiesel plant, model the unit operations in the production of biodiesel, automate the plant using a microprocessor based digital program, and determine the performance of the constructed plant. The scaling-up of the plant capacity to 100 liters capacity was done by use of C# visual basic software, mathematical selection of tank capacities using appropriate equations, application of flow rate, heating capacity and pipe sizing equations. The mathematical modelling of the unit operations was done by using finite difference analysis, Allen’s simulation model, and the rate equation by Arrhenius in order to simulate the effect of varying pressure on yield of biodiesel. The plant was automated using a microprocessor based digital programme. The performance of the plant was evaluated by testing the properties of the fuel produced and comparing it with ASTM stamdards. The performance was also evaluated by determing the yield and time taken to produce the biodiesel. Biodiesel was produced by reacting 120 liters of vegetable oil with 20 liters of methanol and catalyzed with 0.42 kg of Sodium Hydroxide. The results were analyzed using ANOVA at P≤0.05.
The scalabity software developed, calculated the design parameters for pump capacity for 100 liters per hour to 10,000 liters per hour biodiesel plant. The pump capacity for the 100 liters per hour bidiesel plant was 0.745kW. The heater capacity was determined to be within the range of 1500W to 2000W that was able to raise the temperature of the vegetable oil from 37oC to 50oC within a set time of 5 minutes. The automated controller for the biodiesel plant was able to handle varing temperature values of 40oC to 60oC. It was also able to handle varying inputs of time for various solenoid valves to open and close ranging from 1 minute to 60 minutes. The automated controller handles varying values for reaction time necessary for processing different types of oil ranging from 1 digit minute to 3 digit minutes. The modified Arrhenuis equation gave an optimized pressure value of 1.1652 bar. The conversion percentage of biodiesel at 50oC, 3000 revolution per minute, 30 minutes of reaction time, and at a molar ratio of oil of 16, was 89.76% as against 81.13% for the unmodified. The results of the viscosity, cetane index, flash point, relative density, caloric value, were 3.4mm2/s, 51.824, 143.5oC, -21.44oC, -10.37oC, 0.894g/cm3, and 128244.27kJ/kg respectively which was in line with values from ASTM. The system material handling efficiency was 90%, at 20 minutes of reaction time with 63 liters yield of methyl ester. ANOVA at p≤0.05 shows that there was a significant difference in the results obtained from the modified and unmodified Arrehnieus equation, which was due to the addition of pressure. The use of the methyl ester in a Toyota Hilux Van reduced its smoke production and the quantity used to drive (76 kilometers) to Enugu Nigeria was 6 liters as against 10 liters used of fossil diesel fuel. This show a high caloric value.These results show a notable positive effect of pressure factor consideration in biodiesel production. Therefore it was concluded that the scalability software assisted in plant scaling-up, the mathematical modelling assisted in the addition of pressure as a parameter in the optimized production of biodiesel, the automated plant helped in increased and précised production control, and the performance analysis showed the actual development of an optimized biodiesel plant.
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