A Framework of Building and Locational Characteristics Ranking for Purpose-built Offices in Malaysia

The development of purpose-built office market in Malaysia is primarily resolved by a supplydemand market. Since the office market in Malaysia has displayed significance improvement due to increasing level of competitiveness, many characteristics of purpose-built office have appeared and become prominent during the process of assessment. These characteristics were generally used as indicators in property valuation, building performance as well as office market appraisal. Based on these characteristics, property market participants can evaluate their property proficiently based on their requirements, especially in decision making during business planning, investment or property management. Technology growth and national policy also gave contribution factors on revealing newly characteristics of purpose-built office such as green building, intelligent building and sustainable development model. The purpose of this article is to identify suitable characteristics of purpose-built office that can be used in Malaysia. Integral to achieving this objective, exploration on purpose built office characteristics in a global and local context will be reconsidered. As a result, a building and locational framework of purpose-built office’s characteristics in Malaysia will be diagnosed and verified appropriately

Biodegradation of Benzene, Ethylbenzene, and Xylene Mixture in a Date Palm Tree Bark-based Upflow Biofilter

The performance of a date palm tree bark-based biofilter inoculated with mixed microbial consortia was investigated for the removal of a benzene- ethylbenzene-xylene mixture at a total inlet loading rate range of 38.0 to 612.0 g/m3·h. The influences of the inlet pollutant concentration and air flow rate were studied. The maximum elimination capacities attained for benzene, ethylbenzene, and toluene were 79.51, 77.47, and 57.08 g/m3·h, respectively. The removal efficiencies were evaluated and found to vary inversely with the inlet pollutant concentration. The VOC conversions were demonstrated by the difference in inlet and exit concentrations. The axial removal performance of the biofilter was studied, and the contribution of the lowest part was comparatively more than those of the upper sections because of the different biomass growth patterns. Temperature monitoring in the biofilter confirmed the exothermic nature of the biodegradation

Equilibrium, kinetic and thermodynamic studies on the removal of Aluminum by modified Eucalyptus camaldulensis barks

In this study, a low-cost eco-friendly adsorbent was prepared from Eucalyptus camaldulensis barks through chemical activation. The effect of operating variables namely initial pH, sorbent dose, initial metal concentration, shaking speed and temperature on the aluminum removal percentage and uptake capacity has been studied. The optimal pH was found as 5.0 and the sorbent dosage 5.0 g/L. Temperature effect proved the process to be endothermic. The experimental observations were fitted to Langmuir and Freundlich isotherms where Langmuir proved to be a better fit. Pseudo-second order and intraparticle diffusion kinetic models were employed to the experimental data to verify the mechanism of sorption. The constants of isotherms and kinetic models were evaluated at different operating conditions. From the thermodynamic studies, the activation energy was evaluated as 43.23 kJ mol−1

Epoxy composite reinforced with jute/basalt hybrid – Characterisation and performance evaluation using machine learning techniques

Epoxy resins, prized for their versatile properties, are derived from bio-based materials, contributing to sustainability and eco-friendliness in both production and application. This study focuses on the application of gradient boosting machine learning techniques in the field of machining to predict the surface roughness and also the contour based experimental validation of the numerical results. The turning experiments, conducted via Taguchi's L27 array, aimed to explore the effects of depth of cut, feed rate, and spindle speed. Higher spindle speeds, lower feed rates, and shallower cuts led to smoother surfaces in turned jute/basalt epoxy composites. Machine learning models (Gradient Boosting Machine, AdaBoost, and XGBoost) were then used to predict surface roughness. Amongst these, XGBoost outperformed GBM and AdaBoost, exhibiting maximum and average prediction errors of 3.78 % and 2.24 %, respectively. XGBoost accurately predicted 2D surface roughness contours that closely matched experimental contours for training and test cases. Taguchi's Orthogonal Matrix identified minimum surface roughness values as 0.773 μm (experimental), 0.800 μm (GBM), 0.880 μm (AdaBoost), and 0.774 μm (XGBoost). All were achieved at 1500 rpm spindle speed, 0.05 mm/rev feed rate, and 0.3 mm depth of cut

Application of photoelectrochemical oxidation of wastewater used in the cooling tower water and its influence on microbial corrosion

BackgroundCooling towers are specialized heat exchanger devices in which air and water interact closely to cool the water's temperature. However, the cooling water contains organic nutrients that can cause microbial corrosion (MC) on the metal surfaces of the tower. This research explores the combined wastewater treatment approach using electrochemical-oxidation (EO), photo-oxidation (PO), and photoelectrochemical oxidation (PEO) to contain pollutants and prevent MC.MethodsThe study employed electro-oxidation, a process involving direct current (DC) power supply, to degrade wastewater. MC studies were conducted using weight loss assessments, scanning electron microscopy (SEM), and x-ray diffraction (XRD).ResultsAfter wastewater is subjected to electro-oxidation for 4 h, a notable decrease in pollutants was observed, with degradation efficiencies of 71, 75, and 96%, respectively. In the wastewater treated by PEO, microbial growth is restricted as the chemical oxygen demand decreases.DiscussionA metagenomics study revealed that bacteria present in the cooling tower water consists of 12% of Nitrospira genus and 22% of Fusobacterium genus. Conclusively, PEO serves as an effective method for treating wastewater, inhibiting microbial growth, degrading pollutants, and protecting metal from biocorrosion

Production of hydrogen and value-added carbon materials by catalytic methane decomposition: a review

Dihydrogen (H-2), commonly named "hydrogen", is attracting research interest due to potential applications in fuel cells, vehicles, pharmaceuticals and gas processing. As a consequence, the recent discoveries of natural gas reservoirs have prompted the development of technologies for methane conversion to hydrogen. In particular, the catalytic decomposition of methane is a promising technology to generate COx-free hydrogen and multi-wall carbon materials. Carbon nanomaterial byproducts can be used in electronics, fuel cells, clothes, and for biological and environmental treatments. Recent research has investigated the performance of hydrogen production and the characteristic of carbon nanomaterials. Here, we review the decomposition of methane on Ni-based catalysts, with focus on the influence of reaction temperature, gas hourly space velocity, support, and promoter. Ni-based catalysts allow CH4 conversion higher than 70% with H-2 yield of about 45% at more than 700 degrees C. We present catalyst regeneration by various techniques such as combustion. Reactors used for catalytic decomposition of methane include fluidized bed, fixed-bed and plasma reactors