Implementation of Response Surface to Optimum Biodiesel Power Plant Derived From Empty Fruit Bunch

Abstract

This study examined product separation in biodiesel power plants to optimise the process. Response Surface Methodology (RSM) was used to identify the optimum parameters for the process of separation, to maximise profitability while also reducing carbon dioxide emissions. The mass and energy balance was assessed using Aspen Plus software, while RSM was carried out with Design-Expert software. Development of the characteristic equation determined that the model for gasoline yield, power generation, and carbon dioxide emissions was significant at the 95% confidence level. The R-squared value predicted by the model was found to be 0.97–1.00. In an optimal plant, profit can rise by 3,836 USD over the year, while carbon dioxide emissions decline annually by 17.97 tons.

Particulate matter characterization of the combustion emissions from agricultural waste products

“…In Eq. ( 1), T N is total number concentration (1/cm 3 ); C m is a measured current (fA); X is conversion vector (fAcm 3 ) that used to calculate particle distribution from the current distribution. Conversion vectors according to each stage were shown in Table 2.…”

“…In Eq. ( 2), T M is total mass concentration (mg/m 3 ); D i is geometric mean diameter of particle (μm); ρ p is particle density (determined at 1 g/ cm 3 under assumption of all particles shaped by spherical). Note: at stage 13 th (top impactor), it was used as a pre-cut stage for PM 10 thus only twelve stages below of impactor (i.e., s1 st -s12 th ) were used to calculation.…”

“…This has revived interest in the use of agricultural residues as alternative fuels. Thailand has an economy which is largely based on agriculture, and accordingly it has significant quantities of agricultural waste products, e.g., empty fruit bunches (EFB) [ 1 , 2 , 3 ], rice straw, bagasse, rice husks etc., which can serve as supplement fuels [ 4 ]. However, it is necessary to verify whether the use of such fuels in the combustion process to generate energy will actually result in lower levels of pollution in the form of particulate matter.…”

Optimization and Deep Learning Modeling of the Yield and Properties of Baobab-Derived Biodiesel Catalyzed by Waste Banana Bunch Stalk Biochar

“…Most biodiesel research has traditionally focused on optimizing the FAME yield, neglecting other important fuel properties, such as cetane number, viscosity, and purity. − This single objective approach may compromise the product quality and hinder the effective operation of diesel engines. To address this limitation, researchers are now shifting toward a multiobjective optimization approach that considers both the maximum yield and the optimum product quality.…”

Multi-objective atom search optimization of biodiesel production from palm empty fruit bunch pyrolysis

“…Particularly, the CCD involves applying the second-order model in an effective method. This work was applied to optimize by RSM of a biodiesel power plant derived from a palm empty fruit bunch [ 6 ].…”