Optimization of Biodiesel Catalysis in a Local Petrochemical Plant: A Case Study

Thesis Abstract

This study addresses the inefficiencies in biodiesel catalysis within a local petrochemical plant by investigating catalytic performance, process optimization, and environmental and economic implications of transesterification under real-world operating constraints. The aim is to enhance biodiesel yield, quality, and reactor stability while reducing production costs and waste streams. Specific objectives include (1) characterizing feedstock variability and its impact on catalyst activity; (2) optimizing reaction parameters (molar ratio, catalyst loading, temperature, and residence time) using design of experiments; (3) evaluating catalyst durability and regenerability across 100–150 batch cycles; (4) comparing homogeneous and heterogeneous catalysis performance in terms of yield, purity, and process intensity; and (5) conducting a techno-economic and life-cycle assessment to quantify sustainability benefits. The methodology adopts a mixed-methods approach anchored in a case-study design. The population comprises the plant’s biodiesel production line, including raw material suppliers, process engineers, and quality control personnel. A stratified random sample of 60 production runs over 12 months will be analyzed, with 40 runs used for experimental optimization and 20 runs reserved for validation. Instrumentation includes gas chromatography (GC-FID) for methyl ester purity, high-performance liquid chromatography (HPLC) for glycerol content, Fourier-transform infrared spectroscopy (FTIR) for functional group verification, and inductively coupled plasma optical emission spectrometry (ICP-OES) for catalyst leaching assessment. Data collection will employ automated process data logs, standardized laboratory analyses, and semi-structured interviews with process engineers to capture operational nuances. The primary data analysis will combine response surface methodology (RSM) and central composite design to model reactions with variables such as methanol-to-oil molar ratio, catalyst type (base vs. solid-supported), catalyst loading (wt%), temperature, and reaction time. Regression analysis and ANOVA will determine parameter significance and model adequacy, while multi-criteria decision analysis (MCDA) will integrate yield, fuel quality, and process stability into optimization decisions. For catalyst assessment, kinetic modeling will quantify activation energies and turnover numbers, and a thermal aging test will evaluate durability. A cost-benefit framework will accompany the technical analysis to derive the minimum selling price and payback period. The theoretical lens integrates the Theory of Constraints and Green Chemistry principles to interrogate bottlenecks and sustainability trade-offs, complemented by the Diffusion of Innovation theory to interpret adoption of heterogeneous catalysis. Expected findings include statistically robust models showing significant improvements in biodiesel yield (target >97 wt%), ester content (>98 wt%), and reduced acid value when optimized parameters are applied, with heterogeneous catalysts demonstrating superior reusability over 60 cycles and lower total operating costs due to simplified purification. The study anticipates that methanol recovery efficiency and reduced glycerol contamination will directly influence product quality and process safety metrics. Sensitivity analyses will reveal critical parameter thresholds, and scenario analyses will illustrate performance under feedstock variability. The contribution to knowledge lies in providing a rigorous, context-specific framework for optimizing biodiesel catalysis within an integrated petrochemical setting, including validated kinetic models, a practical optimization protocol transferable to similar facilities, and a comparative assessment of catalyst technologies under real-world constraints. The main conclusion is that targeted optimization combining response surface methodology with a deliberate shift toward solid-supported catalysis can markedly improve biodiesel yield, quality, and process economics while aligning with green chemistry objectives. Recommendations include adopting heterogeneous catalysts with a standardized regeneration protocol, implementing real-time process analytical technology (PAT) for dynamic control, expanding feedstock diversification to reduce supply risk, and conducting ongoing life-cycle analyses to monitor environmental impacts as production scales. Further studies should explore long-term catalyst stability beyond 60 cycles, pilot-scale validation, and integration with broader refinery processing streams to maximize overall plant efficiency.