Design of Two-Stages Charging of Sensible Thermal Energy Storage

The Gas District Cooling (GDC) plant at Universiti Teknologi PETRONAS (UTP) is responsible for supplying chilled water to the main campus, where it is used as the source of chilled water for air conditioning. Current operations at GDC, electric chillers (EC) are used to charge the Thermal Energy Storage (TES) at night and then discharge the chilled water during the day to support chilled water requirements during peak period. Steam Absorption Chiller (SAC) operation is to supply the chilled water during the day and not during operation at night. However, this practice does not take the advantage of 24 hours operation of gas turbine that produced waste heat. This project is focus on using the SAC to charge the TES tank during night to support EC in order to optimize the use of waste heat. A two-stage charging is proposed. Current configuration is charging the TES tank from 5 p.m. to 7 a.m. only by EC. The proposed wo-stage configuration, the TES tank is charged by SAC as the first stage to cool the chilled water from l3°C to 9°C, then, the second stage is charged by EC to cool the chilled water from 9°C to 6°C. The time of the both charging process is maintained from Sp.m. to 7a.m. The operation of two-stage based on one SAC in operation and three EC's in operation

Design of Two-Stages Charging of Sensible Thermal Energy Storage

The Gas District Cooling (GDC) plant at Universiti Teknologi PETRONAS (UTP) is responsible for supplying chilled water to the main campus, where it is used as the source of chilled water for air conditioning. Current operations at GDC, electric chillers (EC) are used to charge the Thermal Energy Storage (TES) at night and then discharge the chilled water during the day to support chilled water requirements during peak period. Steam Absorption Chiller (SAC) operation is to supply the chilled water during the day and not during operation at night. However, this practice does not take the advantage of 24 hours operation of gas turbine that produced waste heat. This project is focus on using the SAC to charge the TES tank during night to support EC in order to optimize the use of waste heat. A two-stage charging is proposed. Current configuration is charging the TES tank from 5 p.m. to 7 a.m. only by EC. The proposed wo-stage configuration, the TES tank is charged by SAC as the first stage to cool the chilled water from l3°C to 9°C, then, the second stage is charged by EC to cool the chilled water from 9°C to 6°C. The time of the both charging process is maintained from Sp.m. to 7a.m. The operation of two-stage based on one SAC in operation and three EC's in operation

LIVE STREAMING USING PEER DIVISION MULTIPLEXING

A Number of commercial peer-to-peer (P2P) systems for live streaming have been introduced in recent years. The behaviour of the popular systems has been extensively studied in several measurement papers. However, these studies have to rely on a “black-box” approach, where packet traces are collected from a single or a limited number of measurement points, to infer various properties of the traffic on the control and data planes. Although, such studies are useful to compared different systems from the end user’s perspective. It is difficult to intuitively understand the observed properties without fully reverseengineering the underlying systems. In this paper, we describe the network architecture of Zattoo, one of the largest production, live streaming providers, in Europe, at the time of writing, and present a large-scale measurement study of zattoo, using data collected by the provider. To highlight we found that even, when the zattoo system was heavily loaded with as high as 20000 concurrent users on a single overlay, the median channel join delay remained less than 2-5 s, and that, for a majority of users, the streamed signal lags over-the-air broadcast signal by more than 3 s

Design of a Classifier model for Heart Disease Prediction using normalized graph model

Heart disease is an illness that influences enormous people worldwide. Particularly in cardiology, heart disease diagnosis and treatment need to happen quickly and precisely. Here, a machine learning-based (ML) approach is anticipated for diagnosing a cardiac disease that is both effective and accurate. The system was developed using standard feature selection algorithms for removing unnecessary and redundant features. Here, a novel normalized graph model (n – GM) is used for prediction. To address the issue of feature selection, this work considers the significant information feature selection approach. To improve classification accuracy and shorten the time it takes to process classifications, feature selection techniques are utilized. Furthermore, the hyper-parameters and learning techniques for model evaluation have been accomplished using cross-validation. The performance is evaluated with various metrics. The performance is evaluated on the features chosen via features representation. The outcomes demonstrate that the suggested (n – GM) gives 98 % accuracy for modeling an intelligent system to detect heart disease using a classifier support vector machin

Optimization of Job Shop Scheduling Problem using Tabu Search Optimization Technique

ABSTRACT-The Job shop scheduling (JSS) problem consists of "n" jobs and "m" operations on each of the jobs and it is hardest combinatorial optimization problems for which it is extremely difficult to find optimal solutions. Past two decades, much attention has been made to general heuristics such as Genetic algorithm, Ant Colony Optimization, Tabu Search and Simulated Annealing to solve this type of combinatorial optimization problems. In this paper we present how the adaptive search algorithms namely Tabu search is applied to solve Job shop scheduling (JSS) problem. The method uses dispatching rules to obtain an initial solution and searches for new solutions in a neighborhood based on the critical paths of the jobs. Several benchmark problems are tested using this algorithm for the best makespan and the obtained results are encouraging when compared with benchmark values

Antimicrobial Applications of Transition Metal Complexes of Benzothiazole Based Terpolymer: Synthesis, Characterization, and Effect on Bacterial and Fungal Strains

Terpolymer of 2-amino-6-nitro-benzothiazole-ethylenediamine-formaldehyde (BEF) has been synthesized and characterized by elemental analysis and various spectral techniques like FTIR, UV-Visible, and 1H and 13C-NMR. The terpolymer metal complexes were prepared with Cu2+, Ni2+, and Zn2+ metal ions using BEF terpolymer as a ligand. The complexes have been characterized by elemental analysis and IR, UV-Visible, ESR, 1H-NMR, and 13C-NMR spectral studies. Gel permeation chromatography was used to determine the molecular weight of the ligand. The surface features and crystalline behavior of the ligand and its complexes were analyzed by scanning electron microscope and X-ray diffraction methods. Thermogravimetric analysis was used to analyze the thermal stability of the ligand and its metal complexes. Kinetic parameters such as activation energy (Ea) and order of reaction (n) and thermodynamic parameters, namely, ΔS, ΔF, S*, and Z, were calculated using Freeman-Carroll (FC), Sharp-Wentworth (SW), and Phadnis-Deshpande (PD) methods. Thermal degradation model of the terpolymer and its metal complexes was also proposed using PD method. Biological activities of the ligand and its complexes were tested against Shigella sonnei, Escherichia coli, Klebsiella species, Staphylococcus aureus, Bacillus subtilis, and Salmonella typhimurium bacteria and Aspergillus flavus, Aspergillus niger, Penicillium species, Candida albicans, Cryptococcus neoformans, Mucor species fungi

Sorption of cadmium (II) ion from aqueous solution onto sweet potato (Ipomoea batatas L.) peel adsorbent:characterisation, kinetic and isotherm studies

Sweet potato peels was used for the removal of Cd (II) from aqueous solutions. The residue was characterised using SEM, EDX, XRF, N2 BET, TGA and ATR-FTIR. Sorption of Cd (II) was carried out by varying pH, contact time and initial ion concentration at 25 °C and the results showed a strong dependence of the ion removal on the adsorbate pH with optimum observed at pH 7. Kinetics of Cd (II) sorption indicates optimum time of 180 min and the removal of Cd (II) occurred via a fast initial uptake. This was modelled using the pseudo first, pseudo-second and intraparticle diffusion models. The pseudo-first order gave a better description of the uptake kinetics than the pseudo-second order model with an r2 value of 0.99. The intraparticle-diffusion model showed that sorption had multi-linear steps indicating that the intraparticle-diffusion is not the only rate controlling step in Cd (II) sorption. FTIR analysis of the PTPS before and after adsorption of Cd (II) indicates that some functional groups such as hydroxyl, carbonyl and carboxylate groups may be involved in metal ion sorption. Isotherm modelling of Cd (II) sorption was carried out using the Langmuir and Freundlich isotherms using a non-linear optimisation. The Langmuir isotherm gave a better fit for Cd (II) sorption and maximum loading capacity (qmax) was 18 mg g−1 with an isotherm constant of 5.21 × 10−3 l mg−1 and r2 value of 0.99 at 25 °C. Hence, the PTPS residue was found to be a promising adsorbent for Cd (II) removal from aqueous streams

Advances in beta-cell replacement therapies for type 1 diabetes mellitus: A narrative review

Type 1 diabetes mellitus (T1D) is a chronic disease characterized by the absence of circulating insulin and c-peptide. Exogenous insulin therapy, which is the mainstay of treatment of T1D cannot prevent the microvascular complications or severe hypoglycemia. Beta-cell replacement therapy in the form of whole organ pancreas transplantation or islet cell transplantation helps to maintain endogenous secretion of insulin and other hormones secreted from islet of Langerhans. Over the past 20 years, islet cell transplantation has proven its long-term efficacy in the management of labile diabetes and preventing morbidity. Allogenic islet cell transplantation is a safe therapy for type 1 diabetics with renal failure and nonuremic diabetics with hypoglycemic unawareness. However, access to transplantation is limited by the availability of deceased donor organs and the risks associated with long-term immunosuppression. Cutting edge research in the field of xenotransplantation and stem cells will result in a new source of beta cells in the future. This could potentially eliminate the need for long-term immunosuppression as well. The articles reviewed were identified using PubMed search of relevant key words and Medical Subject Heading terms and after excluding the ones that are beyond the scope of this review