Showing papers by "Universiti Teknologi Petronas published in 2022"
TL;DR: It was found that most current research utilizes field data, simulation data, and experimental data, with field data being the most often used, and ANN, SVM, and hybrid models outperform due to the combined strength of the constituent models.
39 citations
TL;DR: In this article, the authors present a summary of recent studies in the literature that provide new insights into the properties, mechanisms, and applications of polymeric surfactants related to improved hydrocarbon recovery.
39 citations
TL;DR: In this paper, the feasibility of utilizing the anaerobic digestate to cultivate microalgae by evaluating their potential challenges and solutions is discussed, and the proposed potential solutions (digestate dilution and pre-treatment, micro-algae strain selection, extra organics addition, nitrification and desulfurization) corresponding to the state-of-the-art challenges are applicable as future directions of the research.
37 citations
TL;DR: In this article , the role of conducting polymers in the development of active and passive supercapacitor electrodes is investigated and a review of polymeric materials used in the synthesis of active super-capacitors is presented.
Abstract: Supercapacitors are heavily researched in the field of energy storage due to their benefits, including high power density and cyclic stability compared to batteries. Although supercapacitors have limitations such as low energy density, development on polymers have made advancements on those limitations. This review seeks to describe the vast role that polymers play in the development of supercapacitors over the past decade. It explains the construction and classifies the components of a supercapacitor. Further, it touches on conducting polymers and the difference between synthetic polymers and biopolymers. An in-depth analysis of commonly studied polymeric materials are presented with systematic reporting and critical analysis of existing work. A summary of the findings together with foreseen challenges and future prospects are presented at the end of the review. Previous reviews have identified and explained the role that conducting polymers play in the synthesis of active supercapacitor electrodes. Rather, this review investigates the role of all polymeric materials in the development of both active and passive supercapacitor components.
36 citations
TL;DR: In this paper, phase change materials (PCMs) have received substantial interest for their ability to store and release latent heat for energy conservation and thermal control purposes, which is broadly discussed in this manuscript.
35 citations
TL;DR: A critical review that summarizes recent advances in microplastics research and emphasizes the need for regulatory frameworks devoted to MPs is presented in this article, which may be useful for reducing the proliferation of MPs in the environment.
34 citations
TL;DR: In this paper, a BiFeO3/ZnO composite photocathode for the first time in a microbial fuel cell (MFC) was used to reduce the copper ion (Cu2+) and power generation concomitantly.
29 citations
TL;DR: In this paper, the authors provide an assessment of the knowledge gap related to the sustainability of char as a persulfate (PS) activator for anthropogenic pollutants removal, and some potential research directions are provided.
28 citations
TL;DR: In this paper, the carbon sensor detects particles flying in the skies and calculates based on number and size to identify if the fog comes from a forest fire or other fire sources. But the current sensor only detected carbon status and without the detail of the carbon concentration either from the forest fire, or any other source that contribute carbon.
Abstract: Global warming impacted the rise of temperature globally, some of the places a high risk of fire such as land and forest fire. Many efforts to prevent the occurrence of land and forest fire, but some methods are not achieved in optimum results. One of the issues is carbon emitted to the sky is in general concentration. The current sensor only detected carbon status and without the detail of the carbon concentration either from the forest fire or any other source that contribute carbon. This research identifies and detects the fog of haze emitted from a forest fire by identifying the carbon concentration. The carbon sensor detects particles flying in the skies and calculates based on number and size to identify if the fog comes from a forest fire or other fire sources. There are many other sources of haze in the skies. It can be from the pollution emitted from vehicles, fire from the garbage or rubbish, or fog emitted from the factory. The size and number of particles detected by the sensor were analyzed to identify the quantity and the size to match the type of particles emitted from the forest fire. Results show that particles from the forest fire are higher and bigger compare to other sources of fires. The fog's intensity less than from other fire sources because of forest fire the material mostly from the trees and leaves getting burn then gives less in quantity.
27 citations
TL;DR: A dynamic pH junction was used in capillary electrophoresis (CE-DAD) to on-line preconcentrate, separate, and determine trace amounts of sulfonamide antibiotics (SAs) in milk and yoghurt samples in this article.
21 citations
01 Jan 2022
TL;DR: In this paper, the performance evaluation of the sequential batch reactor (SBR) system in managing dyes is discussed and the impact of several environmental and operational parameters on the system in dye degradation.
Abstract: Issues: Dye-containing wastewater not effectively managed is among the major contributors to water contamination. It is considered a major threat to public health and the environment. Thus, it must be handled properly before discharging into the environment. This chapter discusses the performance evaluation of the sequential batch reactor (SBR) system in managing dyes. It further complied and analyzed the impact of several environmental and operational parameters on the system in dye degradation. The various variables such as cycle time, hydraulic and sludge retention times, aeration, agitation, pH, dissolved oxygen, redox potential, feeding, temperature, hydrodynamic shear force, etc. are described. Major advances: Due to their complicated structure and synthetic root source, dyes are often regarded as one of the most difficult parts of textile wastewater to process. Environmental contamination emanating from toxic dye processing by dyeing industries continues to be a challenge. All through dye degradation, a variety of methods have been used, with various levels of efficacy, which may be attributable to differences in dye properties, discharge conditions, technical potentialities, regulatory obligations, and financial thoughtfulness. Recently, the usage of SBR in dye degradation has continuously received attention from scientists. It is widely preferred in dyes degradation because it is an efficient process. More so, taking advantage of the high SBR versatility, the control parameters can be changed appropriately and the decolorization potential can be recovered. Owing to its operational versatility, shock load resistance, and high biomass retention, this chapter emphasized SBR application and efficiency for dye treatment in the context of environmental conservation. The chapter further stressed the effects of environmental and operational parameters during dyes degradation. In recent decades, dye degradation has been successfully regulated by optimizing a lot of valuable environmental and operational parameters. They assist in the comprehension of bio-flocculation structure, properties, and mechanisms. These optimization strategies for environmental/operational parameters thus pave the route for the production of fewer by-products. The application of RSM to physicochemical dye degradation processes could result in better design and optimization. Researchers focusing on dye degradation, physicochemical processes, and RSM can find the outcome of this chapter extremely beneficial. Looking at the environmental aspect and considering the high content of hazardous intermediate metabolites found in dyes, the SBR system combined with other treatment technologies are more efficient for dye degradation. The content of this chapter is expected to improve readers’ fundamental literacy, direct research scholars, and be integrated into upcoming laboratory experiments on SBR systems for dye wastewater treatment.
TL;DR: In this article, the authors used Response Surface Methodology (RSM) and Artificial Neural Network (ANN) to predict the thermal conductivity and viscosity of nanofluid.
TL;DR: In this paper, the simultaneous determination of aflatoxins (B1, B2, M1 and M2) in milk using a new sample pretreatment technique, the in-syringe dispersive micro-solid phase extraction (ISDμSPE), coupled with high performance liquid chromatography with fluorescence detection is described.
TL;DR: In this article, the authors employed various machine learning algorithms such as regression models, support vector machine regression (SVM), gaussian processing regression (GPR), and artificial neural networks (ANN) for modeling hydrogen-rich syngas production by gasification and co-gasification of biomass and coal.
TL;DR: In this paper , a review of Ni-based catalysts for CO2 methanation is presented, including the progress on the effect of supporting material, promoters, and catalyst composition.
Abstract: Catalytic conversion of CO2 into methane is an attractive method because it can alleviate global warming and provide a solution for the energy depletion crisis. Nickel-based catalysts were commonly employed in such conversions due to their high performance over cost ratio. However, the major challenges are that Ni tends to agglomerate and cause carbon deposition during the high-temperature reaction. In the past decades, extensive works have been carried out to design and synthesize more active nickel-based catalysts to achieve high CO2 conversion and CH4 selectivity. This review critically discusses the recent application of Ni-based catalyst for CO2 methanation, including the progress on the effect of supporting material, promoters, and catalyst composition. The thermodynamics, kinetics, and mechanism of CO2 methanation are also briefly addressed.
TL;DR: In this article , a review of various facets of nanofluid stabilization, from the preparation stage until practical application, is presented, where specific stability aspects are investigated in terms of aggregation state, composition, shape, size, and surface chemistry.
TL;DR: In this article, the Group Method of Data Handling (GMDH) has been used to predict the oil FVF at the bubble point pressure as a function of gas solubility, reservoir temperature, oil API gravity, and gas specific gravity.
TL;DR: In this paper , the authors reported the extraction of salicylic acid from wastewaters using a new technique termed as "ionic liquid-based emulsion liquid membrane" (IL-ELM).
TL;DR: The impact of Business Intelligence on financial performance has been studied indirectly through the mediating role of Innovativeness and Network Learning in startups, Surprisingly, these two factors are necessary to enhance financial performance.
Abstract: Business Intelligence goal is to investigate, integrate and logically collect and multidimensional analysis of data from varied customer information sources, environment, competitors, markets, and etc. to enhance the performance of businesses, particularly startups. This research aims to study the impact of Business Intelligence on the financial performance of start-ups. The method is descriptive-survey, aside practical purpose. The study statistical population covered CEOs and experts of startup companies who were investigated in a 250-sample people. Also, 43-item questionnaire aside set up validity with confirmatory factor analysis, and validity analysis was employed for data collection. The results indicated that Business Intelligence did not impact Network Learning in startups, however, Business Intelligence enhanced Innovativeness in startups by 0.99, also, Innovativeness enhanced the financial performance of startups by 0.311, startups intelligence on Network Learning by 0.537, Network Learning on enhancing Innovativeness in startups by 0.632, and Network Learning on financial performance enhancement in startups by 0.397. The impact of Business Intelligence on Innovativeness as well as Network Learning confirmed, also, the impact of Innovativeness and Network Learning on financial performance confirmed. Thus, it can be concluded that the impact of Business Intelligence on financial performance has been studied indirectly through the mediating role of Innovativeness and Network Learning in startups. Surprisingly, these two factors are necessary to enhance financial performance.
TL;DR: In this article, a single droplet was placed on the hot surface of a hotplate maintained at 500°C and the droplet evolution time leading to micro-explosion were capture using a high-speed camera.
Abstract: Palm oil methyl ester is blended with diesel oil as a commercial diesel product in Malaysia, known as biodiesel B10. Biodiesel mixed with water proved to reduced simultaneously both the particulate matter and NOx during combustion. Emulsified biodiesel also caused a secondary atomization due to micro-explosion of the fuel droplets, which is beneficial in improving combustion efficiency. The main factors and events leading to micro-explosion for palm oil derived biodiesel emulsified fuel has yet to be made available in the open literature. Hence, this study aimed to visualize the droplet evolution to micro-explosion of single droplet when heated. A single droplet was placed on the hot surface of a hotplate maintained at 500 °C and the droplet evolution time leading to micro-explosion were capture using a high-speed camera. The study found that all samples of the emulsified fuels produced micro-explosions in four distinct stages. The droplet underwent from a homogenous emulsion, turning from milky color to being transparent during the separation stage, volume expansion during the bubble growth stage, intense coalescence and puffing stage and finally micro-explosion stage. Larger water particles size and higher hydrophilic-lipophilic balance values are the main factors that caused shorter time leading to micro-explosion of droplets.
TL;DR: In this article , a single-phase ZnOFe2O3/SiO2 nano hybrid was synthesized and characterized for the preparation of ZnNOFe 2O3 and SiO2-based nanofluid for enhancing oil recovery and displacement using electromagnetic field inducement.
TL;DR: In this article , a comparative evaluation of functionalized graphene nanoplatelets (GNPs) were prepared by two different methods of mixing and grafting with natural Polymer of Gum Arabic (GA).
TL;DR: A review of the adsorption models that have been used in characterizing shale formation can be found in this article, where the mechanisms and factors that control adsoreption in shale formation and their interaction are also analyzed.
TL;DR: In this paper , the authors developed a theoretical framework highlighting the factors impacting the effective performance of automated monitoring in the construction sector, where 36 factors were identified under four technological categories and the developed technological framework highlights the most impactful factors for each close-range automated monitoring process and technology.
TL;DR: In this paper , a 3D representation of the X-ray images is used as input for the proposed 3DCNN-based deep learning model to classify and detect the COVID-19 virus.
TL;DR: In this article, a review of previous studies on the effects of different parameters on foam stability is presented. And the authors conclude that increasing NP concentration and decreasing NP size, temperature, NP retention, and salinity lead to increased foam stability.
TL;DR: In this article , an efficient preparation of the quality cellulose nanocrystals (CNCs) from microcrystalline cellulose (MCC) utilizing ionic liquid (IL) 1-butyl-3-methylimidazoluim hydrogen sulfate ([Bmim][HSO4]) and dimethyl sulfoxide (DMSO) binary mixture was investigated and compared the results with those obtained from the pure IL.
TL;DR: In this paper , the synergy effect of Fe 2 O 3 /SiO 2 NPs on the IFT and surface wettability of sandstone sandstone was evaluated using a brine as a fluid dispersant.
TL;DR: In this paper, the feasibility of hybrid HA and carbon nanotubes (CNT) powders mixed EDM process for processing 316L steel was investigated and the impacts of CNT and the associated variables on machining and surface characteristics of steel were explored.