1,720,955 research outputs found
Power Extraction in Photovoltaic Systems using P&O-Based MPPT with DC-DC Buck Converter Integration
No full textSolar energy is an abundant, renewable resource that offers a sustainable alternative to fossil fuels. Photovoltaic (PV) systems, which convert sunlight into electricity, have gained global prominence due to technological advancements and decreasing costs. A typical PV system consists of solar panels, inverters, and energy storage. However, the efficiency of these systems is affected by variable sunlight and temperature conditions. Maximum Power Point Tracking technology works as an optimization tool for solar panel operations by finding their maximum operational efficiency. The research examines solar panel modeling together with MPPT algorithms and buck converter implementation for energy management between solar panels and storage systems. Simulations based on MATLAB/Simulink evaluated the performance output of a two-stage PV system which integrated an MPPT-controlled buck converter for performance assessment. The system evaluation results demonstrate its analysis of maximum power point while monitoring various conditions that optimize energy efficiency through irradiance and temperature variations. Off-grid and hybrid systems require energy storage according to research findings which demonstrates both lead-acid and lithiumion batteries as options. The paper explores solar energy integration challenges alongside methods to use advanced energy conversion systems and smart grid systems for enhancing future performance. The study highlights solar energy promising potential to be a key player in the global shift toward renewable energy. The simulation results further validate the system's strong performance, confirming its effectiveness in supporting this transition
Hybrid Energy Storage System with DC-DC Boost Converter and MPPT P&O Control for Optimized Photovoltaic Power Management
No full textThis paper presents the design and implementation of a Stand-alone Photovoltaic (PV) Battery-Supercapacitor Hybrid Energy Storage System (HESS) integrated with a DC-DC boost converter and a Maximum Power Point Tracking (MPPT) control strategy based on the Perturb and Observe (P&O) algorithm. The system aims to enhance energy efficiency and optimize power management in solar PV applications by efficiently storing excess energy generated during high irradiance and maintaining a stable power supply during periods of low irradiance. The hybrid approach combines high-energy-density batteries for continuous power supply with supercapacitors that deliver rapid bursts of power, reducing stress on the batteries and extending their lifespan. The DC-DC boost converter increases the PV panel output voltage to the required level for efficient charging of both storage devices. The MPPT P&O algorithm dynamically tracks the Maximum Power Point (MPP) of the PV panels to maximize energy extraction, adjusting the operating voltage in response to environmental changes such as irradiance and temperature. Simulation results using MATLAB/Simulink validate the proposed system's performance, demonstrating improved energy conversion efficiency and a significant reduction in battery degradation. The MPPT P&O technique, combined with the hybrid storage system, achieves an overall energy management efficiency of 98%, making it an ideal solution for off-grid solar energy applications. This work highlights the potential of hybrid energy storage systems in enhancing the reliability and longevity of renewable energy systems
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Enhancing 6G-Satellite Network Integration with Artificial Intelligence: A Future Communication Paradigm
No full textThe integration of 6G networks and satellite communications is set to revolutionize global connectivity, offering seamless coverage across terrestrial and non-terrestrial environments. Artificial Intelligence (AI) is essential for improving this integration, addressing challenges such as dynamic resource management, latency reduction, and network optimization. AI techniques like machine learning, deep learning, and reinforcement learning offer innovative solutions to handle the complexities of 6G-satellite networks. These advancements promise to significantly improve network efficiency, enhance data transmission reliability, and ensure seamless connectivity across different areas. Potential use cases include smart cities, autonomous vehicles, and Internet of Things (IoT) applications, where AI-driven 6G-satellite integration will be crucial. The proposed AI-enhanced 6G-satellite framework not only addresses current challenges but also lays the groundwork for a resilient, scalable, and globally interconnected communication infrastructure, offering a promising future
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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