In the current work, light weight epoxy bio‐composites are created for low‐cost technological applications using luffa aegyptiaca fiber and biochar particles derived from coco husk (CHB). This study aims to evaluate the effects of CHB particles added at different concentrations (3 vol% and 5 vol%) on the dynamic mechanical, ballistic and tribology behavior of epoxy composites constructed from luffa aegyptiaca fiber with different fiber loading (20%, 30% and 40 vol%). The composites are prepared using hand layup process provided with post curing operation. The combination of 3 vol% CHB particles and 40 vol% luffa aegyptiaca fiber having the improved viscoelastic properties by means of high storage modulus (5.05 GPa) and low loss factor (0.31). Moreover, this composite shows better ballistic properties in terms of low velocity impact energy (17.1 J). The optical image of impact damage behavior shows minimum damage of impactor on the composite and penetration effect found to be lower. This luffa aegyptiaca fiber reinforced epoxy composite also shows the lowest value of coefficient of friction (COF) with 0.48 and the lowest specific wear rate of 0.011 mm3/Nm. These epoxy composites made from luffa aegyptiaca fiber and CHB particles may be useful in a variety of engineering applications that can use materials for manufacture sporting goods, home furnishings, food packaging, and transportation.

This paper presents an Upgraded Binary Bat Algorithm (UBBA) approach for optimal allocation of Phasor Measuring Units (PMUs) in power system network with complete observability. In power system grid network, allocations of Phasor Measuring Units (PMUs) at buses differ in cost on the grounds that the number of branches associated with every bus of the network varies. The weight of all the branches considered in the optimization process to assess the cost for allocation of PMUs. The Bus Redundancy Index (BRI) at each bus is taken in to consideration to estimate the performance of complete observability of the network. UBBA developed in such ways that complete observability of system is obtained with a minimum cost. The proposed UBBA is programmed in MATLAB and simulated on IEEE 14-, 24-, 30-, and 57 -bus systems to obtain optimal allocation of PMUs. In order to describe the advantage of proposed method, its simulation results are analyzed and compared with different strategies available in the literature.

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Following years, electric vehicles (EVs) are promising technology for shifting scattered exhaust emissions in mega‐cities to integrated power plants in rural areas, especially in urban areas. Transport sector electrification and increased popularity of EVs make scientists and researchers, search for charging stations. The ideal position, charge scheduling, and developed charging infrastructure are the primary concern for the large‐scale deployment of EVs. This paper describes the possible demand for EVs charging station infrastructure and challenges in the Indian situation. Along these lines, this study also provides the research community with the latest developments and research findings of charging infrastructure for EVs in India.