Iylia Idris

Artificial Neural Network (ANN) Modelling of Purity of Hydrogen Gas using Palm Kernel Shell Activated Carbon (PKS-AC) adsorbent

Nurul Amni Zuhairah Rahimi, Muhammad Azan Tamar Jaya, Mohd Roslee Othman, Ili Khairunnisa Shamsudin et autres

Hydrogen is a promising clean energy source, but impurities like carbon dioxide can negatively impact its fuel quality and performance. This problem also has gained attention due to the global concern over rising carbon dioxide emissions contributing to global warming. Consequently, purifying …

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Development and Adsorption Performance of CTAB-Functionalized Clinoptilolite Microbeads for Congo Red Removal from Aqueous Solution

Aizad Farizi Mohd Sharoni, Nur Najeehah Mohd Nasir, Ashraf Azmi‬‬‬‬‬, Muhammad Azan Tamar Jaya et autres

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Optimisation Strategy of Methanol Production Using Swarm Based Techniques

Fakhrony Sholahudin Rohman, Mohd Azahar Mohd Ariff, Dinie Muhammad, Muhamad Nazri Murat et autres

Multi-objective optimisation (MOO) of methanol (CH₃OH) production in a fixed-bed catalytic reactor was carried out by considering five objectives: maximising CO₂ conversion (XCO₂) and methanol production rate (FCH₃OH), while minimising bare module cost (CBM), energy cost (CostE), and side product formation (FH₂O). …

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Predictive Analytics with CO 2 Dehydration Time Series Data Using LGBM

Marina Yusoff, Nurain Ibrahim, Jasni Mohamad Zain, Mohamad Taufik Mohd Sallehud-din et autres

Precise prediction of CO2dehydration efficacy is essential for maintaining operational efficiency in industrial gas processing systems, especially in CO2dehydration units. This research presents a predictive analytics framework that utilizes the Light Gradient Boosting Machine algorithm to forecast CO2dehydration behavior using time series …

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Comparative Predictive Modeling of CO 2 Adsorption Bed Performance Using LSTM with Particle Swarm Optimization

Nurain Ibrahim, Yuzi Mahmud, Marina Yusoff, Jasni Mohamad Zain et autres

The increasing frequency of extreme weather events has intensified global efforts to reduce greenhouse gas emissions. One promising method is the injection of carbon dioxide (CO2) into shale reservoirs, which enhances oil and gas recovery while enabling long-term carbon sequestration. However, CO2management …

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Long Short Term Memory with Dynamic Sub-Swarm PSO for Molecular Sieve CO 2 Adsorption

Marina Yusoff, Siti Nur Kamaliah Kamarudin, Nurain Ibrahim, Yuzi Mahmud et autres

Adsorption process to remove moisture from gases and liquids are vital in some industries like natural gas processing and carbon capture, as the process can help extend the equipment life span used. Using molecular sieves (molsieve) for adsorption process are particularly effective …

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Effect of Lookback on Feature-based Prediction using XGBoost for Dehydration

Marina Yusoff, Nurain Ibrahim, Jasni Mohamad Zain, Mohamad Taufik Mohd Sallehud-din et autres

Accurately forecasting operational parameters in dehydration systems is crucial for enhancing gas processing industries' efficiency, reliability, and sustainability. This study investigates the impact of lookback duration on the effectiveness of the eXtreme Gradient Boosting (XGBoost) algorithm in predicting essential parameters such as …

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Recent Advances in Methylene Blue Adsorption Using Clinoptilolite: Mechanisms, Modifications, and Future Perspectives

Muhammad Azan Tamar Jaya, Nur Najeehah Mohd Nasir, A’wani Aziz Nurdalila, Myra Aidrin Mohd Ali et autres

Abstract Adsorption is a widely used separation technology, particularly in wastewater treatment, due to its cost-effectiveness, ease of maintenance, and operational efficiency. Clinoptilolite has shown significant potential in dye adsorption due to its natural porosity and cost-effectiveness. Due to the rapid progress …

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Modelling and profit maximization of low-density polyethylene in industrial high pressure tubular reactor

Nurzafirah Mohd Supion, Anis Farina Mansor, Arina Sauki, S. N. A. Ahmad Termizi et autres

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The study on the effect of soil pH towards corn grain cultivation in Malaysia

Siti Nurdina Mohamad Feisol, Mohd Khusairy Khadzir, Muhammad Haniff Ahmad, Iylia Idris et autres

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Comparative Study Between Design and Parameter Adjustment for Profit Maximization of Low-Density Polyethylene (LDPE) Production in High-Pressure Tubular Reactor

Anis Farina Mansor, Iylia Idris, Ayub Md Som, Fakhrony Sholahudin Rohman et autres

Low density polyethylene (LDPE) market becomes increasingly competitive and profit margins are tightening, manufacturers must create solutions to optimize profit in LDPE high pressure tubular reactors. Thus, in this study, the optimization of LDPE was proposed and conducted by improving the design …

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A Comparative Study Between Design and Parameter Adjustment for Profit Maximization of Low-Density Polyethylene (LDPE) Production in High-Pressure Tubular Reactor

Anis Farina Mansor, Iylia Idris, Ayub Md Som, Fakhrony Sholahudin Rohman et autres

Low density polyethylene (LDPE) market becomes increasingly competitive and profit margins are tightening, manufacturers must create solutions to optimize profit in LDPE high pressure tubular reactors. Thus, in this study, the optimization of LDPE was proposed and conducted by improving the design …

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