Breaking Barriers: Innovative Fabrication Processes for Nanostructured Materials and Nano Devices

Kumar, Kaushal; Dixit, Saurav; Haq, Md. Zia ul; Maksudovna, Vafaeva Khristina; Tummala, Suresh Kumar; Bobba, Phaneendra Babu; Chhabra, Soosan; Khatua, Debnarayan

doi:10.1051/e3sconf/202343001197

Cited by 39 publications

(2 citation statements)

References 38 publications

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“…Researchers have shown the efficacy of PSO in attaining optimum solutions for microgrid topologies, taking into account both technical and economic goals. [26][27][28][29][30] Research on the performance of solar-wind hybrid microgrids demonstrates their ability to achieve a harmonious equilibrium between energy output, storage, and consumption. Hybrid arrangements have enhanced dependability and resilience in comparison to their single-source equivalents.…”

Section: Literature Reviewmentioning

confidence: 99%

Particle Swarm Optimization for Sizing of Solar-Wind Hybrid Microgrids

Vafaeva,

Raju,

Ballabh

et al. 2024

E3S Web Conf.

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This study investigates the optimization of the size of a solar-wind hybrid microgrid using Particle Swarm Optimization (PSO) to improve energy production efficiency, economic feasibility, and overall sustainability. By using past solar and wind resource data, load demand profiles, and system component specifications, the PSO algorithm effectively maximized the capabilities of solar panels and wind turbines. The findings indicate a significant rise in daily energy production, with a 15% enhancement in solar panel capability and a 12% boost in wind turbine capability. The increased energy production plays a crucial role in dealing with the natural irregularity of renewable resources, hence enhancing the resilience and self-reliance of the microgrid. The economic calculations demonstrate significant improvements in the economic feasibility of the microgrid designs. The Levelized Cost of Energy (LCOE) undergoes a significant 10% decrease, suggesting a more economically efficient energy generation. Moreover, the payback time for the original expenditure is reduced by 15%, indicating faster returns on investment. The economic improvements highlight the practical advantages of using PSO for microgrid size, in line with the goal of creating sustainable energy solutions while minimizing economic costs. The improved performance of Particle Swarm Optimization (PSO) is shown by a thorough comparison study with other optimization approaches, such as Genetic Algorithms (GA) and Simulated Annealing (SA). The superior convergence rate of PSO, together with a 15% enhancement in solution quality relative to GA and SA, underscores the efficiency and efficacy of PSO in traversing the complex solution space associated with microgrid size. PSO’s comparative advantage makes it an effective tool for tackling the intricacies of integrating renewable energy, highlighting its potential for extensive use in microgrid design and optimization. The sensitivity evaluations demonstrate that the solutions optimized by the PSO are resilient even when important parameters vary, thereby highlighting the stability and dependability of the approach. In addition to technical and economic factors, the study evaluates the environmental consequences and social aspects of the optimum microgrid designs. The land use efficiency has seen a 10% enhancement, demonstrating the optimum application of area for renewable energy infrastructure. In addition, there is a 7% improvement in community approval, which demonstrates the algorithm’s ability to effectively handle social aspects and promote a comprehensive and socially acceptable approach to renewable energy projects.

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Section: Literature Reviewmentioning

confidence: 99%

Particle Swarm Optimization for Sizing of Solar-Wind Hybrid Microgrids

Vafaeva,

Raju,

Ballabh

et al. 2024

E3S Web Conf.

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“…Overall, polymer matrix nanocomposites show great potential for creating sustainable packaging materials that have enhanced mechanical strength, barrier qualities, and environmental characteristics [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44]. Through the use of nanotechnology and concepts from advanced materials science, researchers and industry stakeholders have the ability to create new packaging solutions that fulfill the needs of contemporary consumers while also reducing harm to the environment.…”

Section: Fig 1 Introduction For Polymer Matrix Cloud Mapmentioning

confidence: 99%

Polymer Matrix Nanocomposites for Sustainable Packaging: A Green Approach

Vafaeva,

Chhetri,

Sudan

et al. 2024

E3S Web Conf.

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This research examines the characteristics and ecological viability of polymer matrix nanocomposites used in sustainable packaging. Nanocomposites were produced by combining varied proportions of polymer and nanofiller material. Through mechanical testing, it was determined that nanocomposite formulation 3 had the maximum tensile strength of 55 MPa, as well as a Young’s modulus of 3.5 GPa, showing greater stiffness in comparison to the other formulations. The evaluation of barrier qualities revealed that nanocomposite formulation 2 exhibited the most minimal oxygen permeability at a rate of 8 cc/m²/day and the lowest water vapor transmission rate at 4.5 g/m²/day, showing very efficient performance in preventing the passage of gases and moisture. The environmental impact study showed that nanocomposite formulation 3 had the most efficient energy consumption during manufacture, with a rate of 1.8 kWh/kg. It also had the lowest waste creation, with just 0.08 kg/kg, and the lowest CO2 emissions, with only 0.4 kg/kg. Nanocomposite formulation 3 demonstrated substantial improvements in mechanical characteristics, barrier properties, and environmental impact indicators when compared to the reference formulations, as shown by the percentage change analysis. In summary, this study showcases the capabilities of polymer matrix nanocomposites, specifically formulation 3, as environmentally friendly packaging materials that offer improved mechanical properties, effective barrier performance, and reduced ecological footprint. These findings contribute to the development of sustainable packaging solutions across different industries.

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Enhancing Smart City Services with AI: A Field Experiment in the Context of Industry 5.0

Natalia,

Kumar Joshi,

Dixit

et al. 2024

BIO Web Conf.

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The practical effects of incorporating artificial intelligence (AI) into Industry 5.0 smart city services are made evident by this empirical research. The use of AI-powered smart traffic management yields a noteworthy 32.94% rise in traffic volume, signifying a noteworthy progression towards improved urban mobility. AI waste management optimization results in a 5.71% increase in collection efficiency, highlighting the importance of operational effectiveness and resource conservation. The control of energy use shows an 8.57% decrease, confirming AI's importance in sustainable energy practices. AI-enhanced public safety offers dependable event prediction, indicating safer cityscapes. These results highlight AI's revolutionary potential and establish smart cities as safe, secure, and sustainable urban environments.

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Breaking Barriers: Innovative Fabrication Processes for Nanostructured Materials and Nano Devices

Cited by 39 publications

References 38 publications

Particle Swarm Optimization for Sizing of Solar-Wind Hybrid Microgrids

Particle Swarm Optimization for Sizing of Solar-Wind Hybrid Microgrids

Polymer Matrix Nanocomposites for Sustainable Packaging: A Green Approach

Enhancing Smart City Services with AI: A Field Experiment in the Context of Industry 5.0

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