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01 Jan 2015
TL;DR: On completion of this chapter, the reader will have knowledge on: characteristics of Wind Energy, basic components of Wind energy Conversion systems, and types of Wind Turbine Generator Configurations.
Abstract: On completion of this chapter, the reader will have knowledge on:
Characteristics of Wind Energy.
Basic components of Wind Energy Conversion systems.
Types of Wind Turbine Generator Configurations.
Power Converter Topologies for Wind Turbine Generator.
MATLAB/SIMULINK model of Wind Turbine.
MATLAB/SIMULINK model of different types of turbines in WECS.
Grid Integration and MATLAB/SIMULINK model of Grid Connected WECS.
16 citations
TL;DR: It is claimed that Amin‐Biswas protocol is still susceptible to off‐line identity and password guessing attack, user untraceability attack, and server masquerading attack.
16 citations
TL;DR: The present optimised silver concentration of the Ag-HAp nano powder is well within the toxic limit to be useful in various biomedical applications.
16 citations
TL;DR: A novel instance-based classification algorithm called Weighted Pattern Matching based Classification (PMC+) for classifying imbalanced data and to improve the performance of PMC+, Fireworks based Feature and Weight Selection algorithm based on the idea ofPMC+ has been proposed.
Abstract: Learning a classifier from imbalanced data is a challenging problem in Machine learning. A dataset is said to be imbalanced when the number of instances belonging to one class is much less than the...
16 citations
TL;DR: In this article, a high performance electrocatalyst based on Pt-Ru-NiTiO3 nanoparticles supported on Vulcan carbon was proposed for the methanol oxidation reaction (MOR) in acid medium.
Abstract: We propose a high performance electrocatalyst based on Pt-Ru-NiTiO3 nanoparticles supported on Vulcan carbon (Pt-Ru-NiTiO3/C) for the methanol oxidation reaction (MOR) in acid medium. The electrocatalyst is prepared from a two-step procedure using a wet chemical method. The morphological studies from TEM indicate that Pt-Ru-NiTiO3 nanoparticles are uniformly distributed on Vulcan carbon. The XRD shows the fcc structure of Pt nanomaterials, while the chemical composition examined using XPS indicates the presence of large fractions of Pt0 and Ru0 species (i.e., metallic state), OH− and O2− species are also formed on the surface of the catalyst. The Pt-Ru-NiTiO3/C electrocatalyst exhibits a higher catalytic activity compared to a PtRu/C alloy. Pt-NiTiO3/C is also more active than the alloy. Therefore, on one side, the addition of Ru enhances the MOR through the formation of oxygenated adsorbed species on Ru, which thereby promotes the oxidation of CO to CO2 at more negative potentials (i.e., the bifunctional mechanism). On the other hand, the superior electrocatalytic performance of Pt-Ru-NiTiO3/C is attributed also to the synergistic effects of NiTiO3, which promotes the reaction increasing the current density and shifting the onset potential to even more negative values, suggesting that it also participates in the bifunctional mechanism along with Ru. From the results shown here, Pt-Ru-NiTiO3/C can be a promising anode nanomaterial for direct methanol fuel cells (DMFCs).
16 citations
Authors
Showing all 3174 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Mohan K. Balasubramanian | 47 | 130 | 6238 |
| Dong-Sheng Jeng | 45 | 398 | 7548 |
| Bruce H. Thomas | 43 | 274 | 6662 |
| S. Vinodh | 41 | 239 | 5610 |
| S. G. Ponnambalam | 33 | 186 | 3573 |
| V.S. Raja | 29 | 119 | 2745 |
| Bheemappa Suresha | 26 | 148 | 2213 |
| S. Basavarajappa | 26 | 92 | 2672 |
| Periasamy Viswanathamurthi | 25 | 92 | 2443 |
| N. Jawahar | 25 | 69 | 1812 |
| Ram Ramesh | 24 | 129 | 1966 |
| Sundaramoorthy Rajasekaran | 24 | 52 | 1659 |
| S.R. Devadasan | 23 | 30 | 1148 |
| Sam Anand | 23 | 86 | 1698 |
| R. Balasundaraprabhu | 23 | 59 | 1375 |