Institution
Universiti Teknologi Petronas
Education•Ipoh, Malaysia•
About: Universiti Teknologi Petronas is a education organization based out in Ipoh, Malaysia. It is known for research contribution in the topics: Adsorption & Ionic liquid. The organization has 6127 authors who have published 11284 publications receiving 119400 citations.
Topics: Adsorption, Ionic liquid, Catalysis, Membrane, Biomass
Papers published on a yearly basis
Papers
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TL;DR: In this article, the effect of four ammonium-based ionic liquids (AILs) on CO2-rich mixed gas hydrate system (70-30% CO2+CH4) is experimentally studied, and the observed behavior is modelled.
56 citations
TL;DR: In this paper, a dual strategy for bio-valorisation of food processing wastewater and food waste hydrolysate was proposed. But, the authors did not consider the use of microalgae in the food processing process.
56 citations
TL;DR: In this article, an integrated solar assisted cooling system is proposed consisting of a solid desiccant system for handling latent load and a Maisotsenko cycle (MC) based evaporative cooling system for sensible loads.
56 citations
TL;DR: The reusability of the aqueous phase collected from HTC process as an alternative nutrients source to cultivatemicroalgal indicated the feasibility and positive integration of HTC process in microalgal biofuel processing chain.
56 citations
TL;DR: In this article, 13X zeolite was utilized as a solid adsorbent for the adsorption of binary and ternary CO/CH/HO mixtures.
Abstract: In this work, GERG2008 EoS embedded in a volumetric–gravimetric technique was utilized to measure multicomponent partial uptakes into the mixture. The sophisticated combination may overlap recent theoretical measurements and replace it with real-time and experimental selective adsorption analysis. 13X zeolite was utilized as a solid adsorbent for the adsorption of binary and ternary CO/CH/HO mixtures. Premixed and preloaded water vapor was studied at 323 K temperature and up to 10 bar pressure. The isotherms of individual components within the mixture were identified and compared to the adsorption data of the pure components for assured benchmarking and validation. Artificial neural network (ANN) modeling was used to predict ternary mixtures. The ANN results showed a good agreement with the experimental data. Moreover, simulated configurations by utilizing an ANN model reflected the high consistency. We identified the behavior of the single components in ternary and higher multicomponent mixtures.
56 citations
Authors
Showing all 6203 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Muhammad Imran | 94 | 3053 | 51728 |
| Muhammad Shahbaz | 92 | 1001 | 34170 |
| Muhammad Farooq | 92 | 1341 | 37533 |
| Markus P. Schlaich | 74 | 472 | 25674 |
| Abdul Basit | 74 | 570 | 20078 |
| Keat Teong Lee | 71 | 276 | 16745 |
| Abdul Latif Ahmad | 68 | 490 | 22012 |
| Cor J. Peters | 52 | 262 | 9472 |
| Suzana Yusup | 52 | 437 | 8997 |
| Muhammad Nadeem | 52 | 409 | 9649 |
| Umer Rashid | 51 | 381 | 10081 |
| Hamidi Abdul Aziz | 49 | 345 | 9083 |
| Serge Palacin | 45 | 201 | 8376 |
| Muhammad Awais | 43 | 272 | 6704 |
| Zakaria Man | 43 | 245 | 5301 |