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    15288 research outputs found

    Identification and Mitigation of Ferranti Effect on High Voltage Transmission Lines for Power Systems Reliability Improvement

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    Power systems reliability is a function of transmission line performance. External as well as internal factors influence the ability of transmission lines to transport electrical energy as expected when demanded. External factors such as weather-related events are well investigated and documented in modern scientific and technological databases but same is not true for factors which result from the intrinsic physical properties of conductors such as Ferranti effect. The Ferranti effect is a phenomenon occurring in long continuous transmission lines carrying high voltages whereby the receiving end voltage is greater than the sending end voltage such that it could be undesirably up to an amount that the survivability of the power system is threatened, or further protection devices are required, or maintenance action is needed. A holistic approach to power systems reliability means that research effort must be devoted to fill identified critical gaps by extending investigations to these neglected factors. This paper seeks to establish the importance of Ferranti effect in the overarching reliability objective associated with electrical energy dispatch from the point of generation to the point where the energy is utilized by consumers, and it further proposes a mitigating scheme that deploys the use of shunt reactors overvoltage suppression devices

    Identifying Key Reliability Factors in Micro- Grid Systems Using Principal Component Analysis.

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    One way to solve the shortage in power supply and the rapid load growth is by operating power systems that could improve power supply reliability. The study aims to carry out a holistic evaluation by identifying the several reliability variables that could influence the micro-grid power system's reliability which is vital in electricity generation. Thirty-three reliability variable factors that are commonly observed to influence power systems reliability were chosen for the micro-grid power systems study and examined using the principal component analysis (PCA). The system reliability key variables were evaluated using the StatistiXL software. A structured questionnaire was crafted considering thirty-three reliability variables, harvested from literature, and administered to respondents in the micro-grid power system industry. The respondent size was determined at a level of confidence of 95% and an error margin of 5% was deployed to corroborate an adequate population size representation which validated the study data. StatistiXL software was deployed to analyze the (mxn) data matrix, collated from the respondents' scores. The matrix was used as the input variable for the model deployed for the factor analysis. Nine factors with eigenvalues (λ>1) were mined and labeled for the analysis, but all the trivial variables were discarded. The PCA result holistically pinpointed the key reliability variables that influence the micro-grid reliability, revealing that system availability represented by factor 1 (F1) loaded 24% of the total variables studied, with reliability cluster including Mean Time Between Failures (MTBF) = - 0.844, Mean Time to Repair (MTTR) = - 0.737, Demand Response (DR) technique = 0.752, Failure Rate = 0.647 among others. The failure rate and the frequency of outages in F1, were an indication that system availability would be influenced, thereby affecting the micro-grid performance. The study also extracted some weak factor loading, F8 and F9 indicting them as reliability variables whose influences do not impact negatively on the micro-grid reliability but should not be discarded in the study of the reliability of micro-grid power systems. Hence an attempt to improve the system's reliability, concentrating on the key variables factors, the weak variables should not be neglected

    A Comparative Performance Analysis of Task Scheduling Algorithms in Federated Clouds

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    Efficient task scheduling is crucial in the domain of cloud computing. Cloud computing is a service that allows users to access and share virtual resources as needed in order to fulfil their jobs. The primary objective of task scheduling is to execute tasks in a manner that maximizes performance by fully utilizing resources and minimising losses. Several scheduling algorithms currently exist with the goal of achieving various objectives, including minimising execution time, cost, makespan, enhancing resource utilisation, and load balancing. This study evaluates and compares the performance of six scheduling algorithms, including Particle Swarm Optimisation (PSO), Ant Colony Optimisation (ACO), Q-Learning, Round Robin (RR), First-Come, First-Served (FCFS), and Shortest Job First (SJF) algorithms. The algorithms' performance is assessed by comparing them using standard measures, such as makespan, execution time, and throughput, across various workload scenarios through graphical representation of the findings. The study employs Java and CloudSim for the purpose of implementing and evaluating. The Particle Swarm Optimisation (PSO) algorithm exhibits exceptional efficiency, particularly in minimising makespan, obtaining optimal throughput, and attaining the shortest execution time. The capacity to adjust to changing settings and efficiently utilise resources continually demonstrates its worth in many situations. The study emphasizes the pivotal significance of algorithm selection and data centre layout in optimising work scheduling, particularly in dynamic and distributed cloud computing systems

    Bolstering the Impact of Financial Inclusion on the Performance of Selected Deposit Money Banks in Nigeria

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    This study investigates the impact of financial inclusion on the financial performance of deposit money banks in Nigeria. The problem statement arises from the need to understand how various dimensions of financial inclusion, including loans to customers, deposits, bank branches, mobile banking, and agency banking, influence the returns on assets (ROA) of deposit money banks in Nigeria. Drawing on theories of financial intermediation and inclusive growth, the research adopts a quantitative approach, employing panel EGLS regression analysis to analyze data collected from ten deposit money banks over an eleven-year period (2011-2022). The findings reveal significant positive relationships between loans to customers, deposits, bank branches, mobile banking, agency banking, and ROA, highlighting the importance of financial inclusion in enhancing the performance of deposit money banks. The study concludes that fostering financial inclusion through targeted policies and initiatives can contribute to the resilience, stability, and sustainability of the banking sector in Nigeria. The implications underscore the importance of promoting inclusive financial systems to foster economic growth, reduce poverty, and enhance social welfare. As a recommendation, policymakers should prioritize measures aimed at expanding access to financial services, leveraging technology, enhancing financial literacy, and strengthening regulatory frameworks to facilitate greater financial inclusion and deepen the impact on the broader economy

    Control strategies in enhanced stand-alone mini-grid operations for the NESI–an overview

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    Diverse control strategies for enhancing operations of isolated distribution grids are reviewed. Such distribution grids are called mini-grids or micro-grids, depending on their power flow capabilities. Robust control schemes identified in other climates for mini-grid and micro-grid operations are yet to be fully explored in the Nigerian electricity supply industry (NESI). Sustainable control strategies suitable for isolated distribution grids in the NESI predicate on capabilities for diverse objectives, such as energy conservation, affordability, efficient power throughput, and utilization, for enhanced resiliency and reliability. Consequently, the distributed control system in hierarchical layers is identified as a suitable choice for mini-grid operations in Nigeria because of its robustness in scalability and in energy conservation. However, the model predictive control (MPC) scheme is observed to be uniquely applicable in all of the hierarchical control layers. Therefore, a cascade-free MPC with improved robustness against sensitivity to system parameter variation is presented at the primary control layer for an H8 voltage source inverter (VSI) used for grid integration of the solar photovoltaic (PV) system. The H8 inverter gives more promising mitigation strategies against common-mode voltage and leakage current. Moreover, the control of DC link voltage for maximum power point tracking (MPPT) is achieved by the H8 inverter, thereby eliminating the need for a separate converter for MPPT. Thus, sustainability is achieved

    Multi‐instance Contingent Fusion for the Verification of Infant Fingerprints

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    There is a need to recognize newborns (1–28 days old) and infants (29 days–12 months old) automatically, with the ubiquitous 500 ppi fingerprint reader, to combat newborn swapping, aid identification of missing children, vaccination tracking, medical history, etc. This study seeks to show the possibility of future identification of babies with fingerprints acquired with a 500 ppi fingerprint reader, through multi‐instance (left thumb and right index fingers) fusion. The fingerprints were acquired from babies who were 1 day–10 months old at enrolment (Session 1). The sum score fusion algorithm was employed. This method produced verification accuracies of 73.8, 69.05, and 57.14% for time lapses of 1, 3, and 6 months, respectively, between enrolment and query fingerprints, for babies that were 0–3 months at the time of enrolment. To the best of our knowledge, this study is the first attempt to verify infant fingerprints with multi‐instance contingent fusion. The incorporation of soft biometrics is recommended for future studies

    A machine learning-driven web application for sign language learning

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    Addressing the increasing demand for accessible sign language learning tools, this paper introduces an innovative Machine Learning-Driven Web Application dedicated to Sign Language Learning. This web application represents a significant advancement in sign language education. Unlike traditional approaches, the application’s unique methodology involves assigning users different words to spell. Users are tasked with signing each letter of the word, earning a point upon correctly signing the entire word. The paper delves into the development, features, and the machine learning framework underlying the application. Developed using HTML, CSS, JavaScript, and Flask, the web application seamlessly accesses the user’s webcam for a live video feed, displaying the model’s predictions on-screen to facilitate interactive practice sessions. The primary aim is to provide a learning platform for those who are not familiar with sign language, offering them the opportunity to acquire this essential skill and fostering inclusivity in the digital age

    Progress in green hydrogen adoption in the African context

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    Hydrogen is an abundant element and a flexible energy carrier, offering substantial potential as an environmentally friendly energy source to tackle global energy issues. When used as a fuel, hydrogen generates only water vapor upon combustion or in fuel cells, presenting a means to reduce carbon emissions in various sectors, including transportation, industry, and power generation. Nevertheless, conventional hydrogen production methods often depend on fossil fuels, leading to carbon emissions unless integrated with carbon capture and storage solutions. Conversely, green hydrogen is generated through electrolysis powered by renewable energy sources like solar and wind energy. This production method guarantees zero carbon emissions throughout the hydrogen’s lifecycle, positioning it as a critical component of global sustainable energy transitions. In Africa, where there are extensive renewable energy resources such as solar and wind power, green hydrogen is emerging as a viable solution to sustainably address the increasing energy demands. This research explores the influence of policy frameworks, technological innovations, and market forces in promoting green hydrogen adoption across Africa. Despite growing investments and favorable policies, challenges such as high production costs and inadequate infrastructure significantly hinder widespread adoption. To overcome these challenges and speed up the shift towards a sustainable hydrogen economy in Africa, strategic investments and collaborative efforts are essential. By harnessing its renewable energy potential and establishing strong policy frameworks, Africa can not only fulfill its energy requirements but also support global initiatives to mitigate climate change and achieve sustainable development objectives

    Development of sustainable interlocking concrete paving blocks using bamboo leaf ash and metakaolin

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    Eco-friendly interlocking concrete pavement block was developed using the admixture of bamboo leaf ash and metakaolin. This was done to develop an eco-friendly interlocking paving block for sustainable pavement construction. Bamboo leaf ash and metakaolin were added as a supplementary cementitious material. The supplementary cementitious material (bamboo leaf ash and metakaolin) were admixed and added at 0, 5, 10, 15, 20, 25 and 30 % replacement of cement. The workability of the fresh concrete (slump) at the varied percentage additions, and the mechanical properties of the concrete at 7, 14, 28, and 56 days of curing were assessed, including their microstructural characteristics. The outcome of the research showed that increasing the percentage of (bamboo leaf ash + metakaolin) reduces the workability of the concrete. With a 20 % addition of this cementitious material, the developed fresh concrete became unworkable. In addition, replacing up to 10 % of the concrete in the pavement with bamboo leaf ash and metakaolin increased the mechanical strength of the concrete by 28.7 %. At 30 % a percentage increase of 3.6 % was recorded. However, the strength at 5 % was still adequate for pavement construction with a 13.62 % increase in mechanical strength. The compressive strength at 5 % and 10 % addition of the supplementary cementitious material at maturity met the criteria for constructing a semi-rigid pavement, using IRC standards. The microstructural assessment showed that the number of pores in the mature concrete samples decreased at 10 % addition of bamboo leaf ash and metakaolin. The research data provides construction workers, researchers, and highway engineers with vital information regarding the viability of these sustainable materials for pavement improvement

    A Study of Single Motherhood in Without Mercy, The Mirror of My Life, and Night Dancers.

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    Single motherhood is becoming ubiquitous today, unlike in the past, when it was almost a sacrilege. This portends serious implications for society. This paper examines the tragic conditions that a single mother and her child find themselves in while trying to navigate the difficulties imposed on them by society. Three novels on the theme of single motherhood were purposively selected from Nigeria; Abubakar's Without Mercy, Asogwa's The Mirror of My Life, and Unigwe's Night Dancers. The study adopted the content analytical method in interrogating the selected novels. A purposive sampling technique was used to select three novels a total of twelve films comprising six Nollywood and six Hollywood films. The novels were subjected to content and qualitative analysis to explore the issues of single motherhood. The study adopted Attachment Theory as the framework for analysis. Findings revealed that children raised by both parents exhibit a wholesome attitude towards life and suffer little or no rejection from people. Whereas, a child brought up by a single parent faces social rejection, and psychological depression, and becomes behaviorally dysfunctional. Every inherent character defect or otherwise displayed by a child raised by a single mother is a factor of societal attitude towards the peculiar challenge of the parent. Moreover, the tragic conditions experienced by single mothers/their children are compounded by stigmatisation, psychological pressure, victimisation, rejection, taunting, and mockery. The paper recommends that the society should reappraise its value system by accepting single motherhood as a socio-reality to save the society from violence and suicide. Keywords: Attachment theory, contemporary Nigerian novels, parenthood, single motherhood, sensitive parenting

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