93 research outputs found
Colloidal silver nanoparticles prepared by UV-light induced citrate reduction technique for the quantitative detection of uric acid
Voltage Stability improvement based on firing angle control of SVCs in wind integrated system with ANN
The widening gap between energy generation and demand on a global scale, coupled with the imperative to reduce emissions, has necessitated the development of largescale sustainable energy solutions. Among the various renewable energy options, Wind Power stands out as a viable source capable of generating substantial amounts of electricity. However, the unpredictable nature of wind availability and its fluctuations pose challenges for grid operators in effectively harnessing and distributing the generated wind power. This issue becomes more pronounced when transmitting wind power through local grids to distant load centers. Voltage instability at local buses emerges as a significant concern in wind-integrated power systems. To address these challenges, dynamic compensation at multiple locations has proven to be an effective solution. Various alternative approach to controlling the firing of Static Var Compensators (SVCs) connected to the network is proposed in the present work. The traditional method, which relies on a classical control approach, is computationally intensive and time-consuming. To overcome this limitation, we propose the utilization of a trained Neural Network for simultaneous control of the firing angles of all SVCs, accommodating various system conditions such as change in load and wind generation fluctuations. Porposed method has been evaluated on both a modified IEEE-30 bus system and a 28-bus Indian system.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.Electrical Sustainable EnergyIntelligent Electrical Power Grid
Reversible phase transformation of titania (anatase) nanotubes upon electrochemical lithium-intercalation observed by ex situ transmission electron microscopy
In this article, microstructural changes in anatase titania (TiO2) nanotubes (NTs) upon electrochemical lithium (Li)-insertion/de-insertion using ex situ transmission electron microscopy (TEM) have been reported. TiO2 NT-arrays have been fabricated by coating the wall of the pores of the nanoporous anodic aluminum oxide (AAO) templates using atomic layer deposition (ALD). Anatase TiO2 NT-array based anode with the wall thickness of similar to 14 nm shows a reversible discharge capacity of similar to 175 mAh g(-1) (i.e., Liconcentration (x) of similar to 0.53) in the second discharge cycle. The NTs are structurally intact and maintain their high crystalline quality after many repetitions of charging and discharging. Reversible phase transformations from tetragonal (anatase) to orthorhombic (Li-titanate) polymorphs and back to tetragonal (anatase) in complete discharging/charging cycled TiO2 NTs are observed ex situ. Electrical conductivity of the NTs decreases a bit due to lithiation. Arrays of the anatase TiO2 NTs as anode in Li-ion secondary batteries show satisfactory cycle response and structural stability even after 50 cycles of charging/discharging. (C) 2013 Elsevier B.V. All rights reserved
COVID 19 fatalities burden in Asian countries: An analysis of pattern and determinants
Covid 19 pandemic has severe implications on health and life of people. Asia being the most populous region has higher fatalities burden. Health infrastructure, stringent preventive measures by the government and public participation through adhering to social distancing have influence to check on fatalities' burden. The level of Social capital as well as voters' participation in a particular country can have influence on containment of COVID cases and fatalities. In this context, the main objectives of this study are to analyse pattern and trend of death burden for 45 Asian countries and impact of stringency measures by government, and voters’ turnout ratio on death burden. However, for regression analysis only 32 countries are taken into account considering the availability of data for all variables. Multiple linear regression analysis is employed in a cross-sectional framework and Ordinary least square estimation technique with heteroscedastic adjusted standard errors have been used for estimation of coefficients. The results show that southern Asia contributes the highest share of fatality cases in total fatality cases of Asia with 71.43% share. It also has the highest share of confirmed cases in total confirmed cases of Asia with 71.72%. However, when we take the population into account, Western Asia leads in the share of confirmed COVID-19 cases and its associated fatality cases per million populations in Asia as compared to other Asian regions. The factors like health infrastructure and voters’ turnover ratio are found to be significant and potential in reducing the new deaths per million populations. Though the coefficient of Stringency index has been negative and it did not emerge to be significant in Asian countries. The COVID related fatalities in Asian region are urban centric and urbanization proxy is found to be positive and significant. Diabetes prevalence rate has some heterogeneous result and in the present study its coefficient is not in the hypothesized direction. . The Countries should ramp up health infrastructure and necessary preparedness to deal with the subsequent waves and COVID related fatalities. Importance need to be given people's participation and their shared responsibilities in dealing with COVID cases and checking on fatalities. The realisation of social responsibility among the masses can lead to community participation and adhering to the protocols imposed by the government and helps in checking on spread of virus and associated death
The Effectiveness of Different Revision Approaches in Science on Achievement and Retention of Learners Having Different Learning Styles
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Growth of thin film containing high density ZnO nanorods with low temperature calcinated seed layer
Role of grain and grain boundary on the electrical and thermal conductivity of Bi0.9Y0.1Fe0.9Mn0.1O3 ceramics
Budgetary Impacts of Central Fiscal Transfers in India: Evidence from State Level Data
The paper empirically examines the impacts of federal transfers on State tax efforts and expenditure taking into consideration a panel data set of 22 Indian States for the time-period 1980-81 to 2007-08. Dynamic panel equations are specified and system GMM estimation techniques are adopted to obtain the regression coefficients. The results suggest that federal transfers have adverse incentives on budgetary initiatives of States in mobilizing their own tax resources and regulating expenditure. Federal transfers as a whole adversely affect states Tax-GSDP ratio and per capita own tax revenues. Similarly, federal transfers have important influence on the size and pattern of States spending. All categories of States expenditure like revenue expenditure, capital disbursements and aggregate expenditure are stimulated by the large availability of Central transfers. Expenditure impact of transfers is more realised on revenue expenditure than capital disbursements. The author calls for review of existing design of transfers and criteria, proper assessment of non-plan revenue deficit grants, review of ratio of specific transfers to lump-sum transfers and increasing the scope of formula based transfers to handle adverse budgetary incentives of federal transfers.</jats:p
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