Optimization Of Physiochemical Properties For Cleaner Diesel With Alcohol From Oil Palm Biomass As Additive

Rasid, Raziman (2020) Optimization Of Physiochemical Properties For Cleaner Diesel With Alcohol From Oil Palm Biomass As Additive. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Diesel-biofuel /biochemical blend (cleaner diesel blend) is a promising solution to reduce the impact on the environment while enhancing diesel performance. A comprehensive computer-aided approach can easily address the design problems of green diesel blends and replace the iterative, complex and time-consuming approach to experimental trial and error. The main objective of this research is to determine the optimal composition of cleaner diesel (GD) blends by determining the most feasible diesel / biodiesel I alcohol that satisfies the ASTM D975 , Standard diesel Specification. The engine performance related fuel properties (density, kinematic viscosity , cetane number and calorific value) as well as cost are being analyzed. This research involved utilisation of software such as General Algebraic Modelling System (GAMS) and Multi Criteria Decision Analysis software, Expert Choice. The blend is proposed to contain at least 70% of diesel while the remaining will consist a maximum value of 20% of biodiesel content and ach of the blend are blended with four different types of alcohol which is methanol, ethanol , propanol and butanol. A systematic methodology involving of six key tasks were developed in order to achjeve the objective. Simple mixing rules for predicting the basic properties of diesel I biodiesel blends are the Linear Kay and Arrhenius mixing rule s. Twenty feasible blend candidates were simulated using GAMS which have different physiochemical properties and cost but only ten candidates are further analyzed as it meets the target properties. Then, the model was validated using statistical analysis by conducting manual calculations . All the physiochemical properties are of all mixture candidates was analyzed in Expert Choice software, where all measurements with AHP were performed by a pairwise graphical comparison. A synthesis with respect to the goal are conducted on the entire model to obtain the most optimal cleaner diesel blend and it is found that the blend consists of diesel, biodiesel and methanol are the most promising candidates.

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