262 research outputs found

    Clinical and angiographic profile in patients of western Rajasthan undergoing percutaneous coronary interventions: a single centre experience

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    Background: This study was aimed to evaluate clinical and angiographic profile of patients undergoing percutaneous coronary intervention at the Department of Cardiology, Mathura Das Mathur (MDM) Hospital attached to Dr. Sampurnanand Medical College, Jodhpur.Methods: This study was hospital based prospective observational study conducted in the department of cardiology at MDM hospital. This study included 1166 patients who underwent percutaneous coronary intervention at cardiac cathlab of MDM hospital from January 2016 to April 2017. Procedural details noted included vascular access route, lesion characteristics, number of lesions intervened, stents used and periprocedural pharmacotherapy administered.Results: A total of 1166 patients (mean age- 56.3±10.4 years) with 76.5% male and 23.5% female were included in the study. Smoking and hypertension were the most common risk factors, present in 64% and 56% patients respectively. Diabetes mellitus and obesity were observed in 24.5% , 18.0% patients respectively. Anterior wall MI was the most common mode of presentation (36.2%). Single Vessel Disease (SVD) was the most common angiographic pattern observed in 62% patients; left anterior descending artery (LAD) was the most frequently involved vessel (65.9%); and type B lesions were most prevalent (48%). Most of the procedures were elective (61.4%) and femoral route was used in the majority (76%). Radial access was obtained in 24% of patients. Primary PCI was done in 6% of cases while pharmaco-invasive approach was adopted in 32.6% of patients. Drug eluting stents were deployed in 100% of the cases. The overall procedural success rate was 95.4%. Procedural mortality was nil and periprocedural complications occurred in 16.0% patients.Conclusions: This first PCI study from western Rajasthan provides an overview into the salient features of CAD among regional population and focus on the characteristics of PCIs performed with their outcomes

    Scheduling of EV Charging in Grid-Connected Parking Lots with Renewable Sources

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    The growing concern about environmental issues is leading many countries to take measures that allow a more rational energy usage and for a more sustainable future. The improvement of systems e�ciency and the use of renewable sources are some points to work on to reduce greenhouse gas emissions. That is why electric mobility is drawing the attention of companies, countries and research groups, as an important measure to face the negative consequences derived from the current energy usage. It is clear that the inclusion of electric vehicles will strongly a�ect the operation, management, and planning of current electric power systems. Firstly, an additional load will have to be considered, the electric vehicles charging. In an initial stage, when the deployment of electric vehicles is not signi�cant, special measures will not be required. However, in the future with thousands of vehicles in operation, ad-hoc electric vehicle charging can lead to line congestion or voltage limits violation. Moreover, an update of the current electric power systems regarding more advanced information and communication technologies, better metering devices, as well as the presence of more renewable sources are required for the suitable integration of electric vehicles. The increasing number of electric vehicles (EV) means there is a growing need for charging stations as well. A potential solution to address the need for charging stations is to transform traditional parking lots into smart parking lots. Due to the inherently complex and dynamic environment, a potential obstacle, from a business perspective to the process of transforming parking lots into smart parking lots is the complexity of estimating the pro�t of the smart parking lots owner and, consequently, the length of time required to recover the cost of the initial investment. We propose a simulation approach to estimate the smart parking lot owners pro�t during a certain period of time. Thus, this thesis is intended to cover the problem of signi�cant increase in electric vehicles arriving at the parking lot leading to a challenge for scheduling of vehicles for charging. The primary objective of parking lot owner is to charge more vehicles and increase pro�t. But due to stringent rules from regulators for network upgrades, increase in the number of charging slots is challenging. Installing a distributed generation like solar microgrid will bene�t from allowing many vehicles to charge at the parking lot. This thesis aims in proposing an algorithm called parking lot management system (PLMS) and charging management system (CMS) for scheduling of electric vehicles with the support of solar generation with the objective of minimizing the power drawl from the grid during high peak pricing period. Power drawl from the grid is reduced by using the solar power available. Since the power drawl from the grid is reduced, it is obvious that the pro�t of the parking lot owner is increased. scheduling is done by shifting the cars to the abundant solar power period and reducing the peaks on the grid which helps the utility operator. The proposed algorithm is simulated using MATLAB programming, and the results are presented

    Design of a Direct Numerical Simulation of Flow and Heat Transfer in a T-junction

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    Several investigations have been undertaken to study the velocity and temperature fields associated with the thermal mixing of fluids, and resulting thermal striping in a T-junction. The T-junction thermal mixing and fatigue phenomenon is a major area of study for the purposes of safety, maintenance and operational life in the nuclear industry, in which fluid mixing occurs in cooling circuits for the nuclear reactor. The existing body of work on T-junctions mainly comprises of experimental references performed at high values of Reynolds numbers. However, these available experimental databases are not sufficient to describe the involved physics in adequate detail, and, due to experimental limitations, accurate data on velocity and temperature fluctuations in regions close to the wall are not accessible. Computational Fluid Dynamics (CFD) can play an important role in predicting such complex flow features. However, predicting complex thermal fatigue phenomena is a challenge for the available momentum and heat flux turbulence models, which also require extensive validation.It was realised that a comprehensive Direct Numerical Simulation (DNS) of a T-junction was required as a benchmark for validation purposes, but also to better understand the underlying physical phenomena of thermal mixing in the fluid and thermal fatigue in the solid walls. The aim of the thesis is to thus design such a reference DNS experiment of a thermal fatigue scenario calibrated using Reynolds-Averaged Navier-Stokes (RANS) simulations. The feasibility of scaling down the Reynolds number from experimental cases to a computationally-feasible range is investigated. The junction corner shape is also modified to a slightly rounded corner, ensuring that the underlying fundamental physical phenomena of turbulence and thermal mixing flow features were preserved. The pipe lengths of the model were calibrated to ensure there would be no interference of the upstream developing region on the thermal mixing at the junction, and the outlet boundary conditions. A sample proof-of-concept under-resolved DNS (UDNS) case, with high- and low-Prandtl number passive temperature scalars, with iso-temperature, iso-flux and mixed (Robin) wall boundary conditions, is simulated and presented. This proof-of-concept simulation contributes to the finalization of the fully-resolved DNS in computational grid size selection, transient characteristics, computational costs, and additionally, the implementation of the Robin boundary condition in the fully-resolved DNS.Aerospace Engineerin

    Biofiltration of benzene emissions: Biofilter response to variations in the pollutants inlet concentration and gas flow rate

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    243-248To examine biofilter response with varying loading rate, a laboratory-based biofilter, packed with mixture of compost, sugar cane bagasse and granulated active carbon (GAC), was used for treating benzene. At influent benzene loadings (< 40 g m⁻³h⁻¹), nearly 100% removal could be achieved. Maximum elimination capacity of biofilter was 83.65 g m⁻³h⁻¹ at inlet benzene load of 69 g m⁻³h⁻¹. Using Wani’s method of macrokinetic determination, maximum removal rate (μmax) was calculated as 0.017 g m⁻³s⁻¹, and saturation constant (Kﻯ) of benzene value as 0.0226 g m⁻³. Increase in CO₂ production with elimination capacity suggested that removal of benzene was due to microorganism and good due to the performance of biofilter. The mixture of packing material of bagasse, compost and GAC appears to be an efficient packing material for low to medium loading rate

    Optimal Charging Schedule for Electric Vehicles in Parking Lot with Solar Power Generation

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    In order to reduce the carbon emission from vehicles, the world transportation system is transforming from conventional gasoline vehicles to electric vehicles. This transformation introduced high penetration of electric vehicles into the utility grid. This lead to a new scope of research in the area of scheduling the charging of electric vehicles. In this context the electric vehicles arriving at the parking lot is increasing which leads a challenge to parking lot owner for scheduling of vehicles for charging. The primary objective of parking lot owner is to charge more vehicles and increase his profit. But due to stringent rules from regulators for network upgrades, increase in the number of charging slots is challenging. Installing a distributed generation like solar microgrid will benefit from allowing many vehicles to charge at the parking lot. This paper aims in proposing an algorithm called parking lot management system (PLMS) for optimal scheduling of electric vehicles with the support of solar generation with the objective of minimizinz the power drawl from the grid during high peak pricing period. Power drawl from the grid is reduced by using the solar power available. Since the power drawl from the grid is reduced, it is obvious that the profit of the parking lot owner is increased. Optimal scheduling is done by shifting the cars to the abundant solar power period and reducing the peaks on the grid which helps the utility operator. The proposed algorithm is simulated using MATLAB programming, and the results are presented. Here in the simulation, it is considered two cases one is the uncoordinated case, and the other is coordinated case. In uncoordinated case charging strategy is first come first served (FCFS) basis and in coordinated case scheduling is done by shifting of cars to abundant solar periods for reducing the cost. It is observed from the results that the savings with solar installation and the uncoordinated case is 2729.59 and whereas with the coordinated case the savings are 2891.19 for one day. Since the savings are more in coordinated case, it is suggested that coordinated scheduling of vehicles will increase the profit of the parking lot owner

    Design of a Direct numerical Simulation of flow and heat transfer in a T-junction

    No full text
    Several investigations have been undertaken to study the velocity and temperature fields associated with the thermal mixing between fluids, and resulting thermal striping in a T-junction. However, the available experimental databases are not sufficient to describe the involved physics in adequate detail, and, due to experimental limitations, accurate data on velocity and temperature fluctuations in regions close to the wall are not available. Computational Fluid Dynamics (CFD) can play an important role in predicting such complex flow features. However, predicting complex thermal fatigue phenomena is a challenge for the available momentum and heat flux turbulence models. Furthermore, such models need to be extensively validated. The aim of the present work is to design a reference numerical experiment for Direct Numerical Simulation (DNS) of a thermal fatigue scenario using Reynolds-Averaged Navier-Stokes (RANS) simulations. First, the feasibility of scaling down the Reynolds number from experimental cases to a computationally-feasible range is investigated. The junction corner shape is also modified to a slightly rounded corner, ensuring that the underlying fundamental physical phenomena of turbulence and thermal mixing flow features are preserved. Finally, the pipe lengths of the model were calibrated to ensure there would be no interference of the upstream developing region and the outlet boundary conditions on the thermal mixing at the junction. A sample under-resolved DNS case, with unity and low-Prandtl number passive temperature scalars, with iso-temperature, iso-flux and mixed (Robin) wall boundary conditions, are presented. This proof-of-concept simulation contributes to the finalization of the set-up for fully-resolved DNS with respect to the computational grid size selection and transient characteristics.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Aerodynamic

    Therapeutic Influence of Zinc and Ascorbic Acid Against Lead induced Biochemical Alterations

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    The influence of co-administration of zinc (10 mg/kg, intraperitoneal [ip]) and ascorbic acid (10, 20 and 30 mg/kg, ip) against lead (lead acetate; 35 mg/kg, ip for 3 days) induced biochemical alterations was studied in young albino rats. The results revealed significant fall in hemoglobin content, on the other hand significant raise in the activity of serum transaminases and serum alkaline phosphatase after lead administration. Significant increase in lipid peroxidation and decreased level of reduced glutathione in liver showed oxidative stress due to lead exposure. Total protein content in liver and kidney were diminished after lead exposure. Activity of acid phosphatase in liver and kidney and alkaline phosphatase in kidney was increased significantly. Zinc and ascorbic acid treatment showed moderate therapeutic efficacy when administered individually, whereas more pronounced protective effects were observed after combined therapy of zinc and different doses of ascorbic acid. The results thus, suggested that co-administration of zinc and ascorbic acid may be useful in restoration of lead induced biochemical alterations
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