A5014567774- Anaerobic Digestion and Biogas Production
- Biodiesel Production and Applications
- Membrane Separation Technologies
- Water-Energy-Food Nexus Studies
- Oil Palm Production and Sustainability
- Biofuel production and bioconversion
- Electrohydrodynamics and Fluid Dynamics
- Hybrid Renewable Energy Systems
- Microbial Fuel Cells and Bioremediation
- Water Quality Monitoring Technologies
- Enhanced Oil Recovery Techniques
- Supercapacitor Materials and Fabrication
- Catalysis and Oxidation Reactions
- Edible Oils Quality and Analysis
- Recycling and Waste Management Techniques
- Analytical chemistry methods development
- Microplastics and Plastic Pollution
- Catalysis and Hydrodesulfurization Studies
- Municipal Solid Waste Management
- Insect Utilization and Effects
- Catalytic Processes in Materials Science
- Water Quality Monitoring and Analysis
- Wastewater Treatment and Nitrogen Removal
- Enzyme Catalysis and Immobilization
- biodegradable polymer synthesis and properties
University of Nottingham Malaysia Campus
2015-2025
In recent years, machine learning (ML) techniques have been developed to predict the performance of anaerobic digestion (AD) processes including methane potential and reactor stability. However, their practical applications industrial-scale palm oil mill effluent (POME) treatment plant are limited. this study, ML algorithms such as response surface methodology (RSM), adaptive neuro-fuzzy inference system (ANFIS) artificial neural network (ANN) employed model biogas production yield from AD...
Microbial fuel cell (MFC) technology has attracted a great amount of attention due to its potential for organic and inorganic waste treatment concomitant with power generation. It is thus seen as clean energy alternative. Modifications innovations have been conducted on standalone hybrid/coupled MFC systems improve the output meet end goal, namely, commercialization implementation into existing wastewater plants. As generated inversely proportional size reactor, stacking method proven boost...
Abstract Hydrothermal carbonization (HTC) technology emerges as a sustainable method to convert wet biomass, including food waste and municipal solid into high‐energy dense biocoal. This process, conducted at temperatures ranging from 180 260°C pressures of 10–50 bar, effectively transforms the organic material in biomass solid, liquid, gaseous outputs. The product, biocoal, possesses high carbon concentration heating values on par with lignite coal, presenting cleaner alternative...
Anaerobic co-digestion (ACD), where two or more substrates are digested simultaneously, is able to prevent the problems associated with mono-digestion. The aim of this study develop a simulation model ACD food waste (FW) sewage sludge (SS) for biogas production coupled pre-treatment, handling and upgrading using SuperPro Designer v9.0. Design Expert v13 employed perform optimization evaluate effect hydraulic retention time (HRT), recycle ratio, water feed ratio (kg/kg) SS FW on methane flow,...
The anaerobic co-digestion (ACoD) of palm oil mill effluent (POME) and decanter cake (DC) is gaining considerable attention as it helps to overcome insufficient feedstock issues in digesters during low crop seasons. However, the ACoD process involves complex non-linear relationships between input parameters outcomes, posing challenges accurately evaluating synergistic effects optimising biogas production on an industrial scale using traditional modelling approaches. In this study, three...
The characteristics of Palm Oil Mill Effluent (POME) is a crucial factor affecting the yield and quality biogas produced from anaerobic digestion. Hence, it essential to understand how operational processes equipment in palm oil mills can affect POME subsequently, production efficiency. This study aims evaluate effects different operating systems four Mills (POM), including usage three-phase decanters, sludge separators, recirculation, empty fruit bunch (EFB) press, water consumption,...
The use of integrated anaerobic-aerobic bioreactor (IAAB) to treat the Palm Oil Mill Effluent (POME) showed promising results, which successfully overcome limitation a large space that is needed in conventional method. understanding synergism between anaerobic digestion and aerobic process required achieve maximum biogas production COD removal. Hence, this work presents artificial neural network (ANN) predict removal (%), purity methane yield (LCH4/gCODremoved) biochemical oxygen demand...
The journal retracts the article titled “Physical and Thermal Studies of Carbon-Enriched Silicon Oxycarbide Synthesized from Floating Plants” [...]
Research background. Biogas production from Palm Oil Mill Effluent (POME) is inherently unstable due to variations in feedstock composition and operating conditions. These fluctuations can result inconsistent biogas quality, variable methane content, fluctuating levels of hydrogen sulphide (H2S), posing significant challenges for bioscrubbers removing H2S meet the quality standards gas engines used electricity generation. This research aims address these by integrating simulation models...