159 research outputs found
Impact Analysis of Renewable Energy based Generation in West Africa – A case study of Nigeria
No full textThe limited supply of fossil fuels, constant rise in the demand of energy and the importance of reducing greenhouse emissions has brought about the adoption of renewable energy sources for generation of electrical power. In this paper, the impact of renewable energy generation in Nigeria is explored. A review of renewable deposits in Nigeria with a focus on Solar, Biomass, Hydropower, Pumped Storage Hydro and Ocean energy is detailed. The impact of renewable energy-based generation is assessed from three different dimensions: Economic Impact, Social Impact and Environmental Impact. In accessing economic impact; the conditions are employment and job creation, gross domestic product (GDP) growth and increase in local research and development. To analyze the social impact; renewable energy education, renewable energy businesses, ministries and institutes, renewable energy projects and investments as well as specific solar and wind projects across Nigeria were considered. Also, environmental issues were discussed. Similarly, policy imperatives for renewable energy generation in Nigeria was provided. This paper would be useful in accessing the successes Nigeria has experienced so far in the area of sustainable development and the next steps to achieving universal energy for all in Nigeria in 2030.Ograniczona podaż paliw kopalnych, stały wzrost zapotrzebowania na energię oraz konieczność ograniczenia emisji gazów cieplarnianych pociągnęły za sobą konieczność stosowania odnawialnych źródeł energii do wytwarzania energii elektrycznej. W artykule zbadano wpływ wytwarzania energii odnawialnej w Nigerii. Szczegółowy przegląd zasobów energii odnawialnej w Nigerii, ze szczególnym uwzględnieniem energii słonecznej, biomasy, energii wodnej i elektrowni szczytowo-pompowych i energii oceanicznej. Produkcja energii ze źródeł odnawialnych została przeanalizowana w trzech różnych wymiarach: wpływ na gospodarkę, wpływ na społeczeństwo i wpływ na środowisko. W aspekcie wpływu na gospodarkę wzięto pod uwagę: zatrudnienie i tworzenie miejsc pracy, wzrost produktu krajowego brutto (PKB) oraz wzrost lokalnych badań i rozwój. Analiza wpływu społecznego objęła: edukację w zakresie energii odnawialnej, przedsiębiorstwa, ministerstwa i instytuty zajmujące się energią odnawialną, projekty i inwestycje w zakresie energii odnawialnej, a także konkretne projekty dotyczące energii słonecznej i wiatrowej w całej Nigerii. Omówiono również kwestie środowiskowe. W podobny sposób przedstawiono imperatywy polityczne dotyczące wytwarzania energii odnawialnej w Nigerii. Ten artykuł wskazuje na istotny dla Nigerii cel zrównoważonego rozwoju, jakim jest odnawialna energia dla wszystkich. Celem jest osiągnięcie w tym kraju powszechnej odnawialnej energii dla wszystkich w 2030 r
Modeling the Next Decade of Energy Sustainability: A Case of a Developing Country
No full textThe development of any country is closely related to its ability to provide access to electricity for productive labor. Many countries in sub-Saharan Africa have low electrification rates for commercial, industrial and residential consumers. This study focuses on Nigeria, which has one of the largest populations and economies in sub-Saharan Africa. Although Nigeria possesses abundant renewable energy resources that can increase electricity generation, it has suffered a significant setback in electricity generation. However, for Nigeria to become one of the leading industrialized countries by 2030, access to clean, reliable, and sustainable energy sources is vital (Vision 20: 2030). This study assesses the possibility of Nigeria developing and transitioning to the use of various energy sources. Additionally, this study evaluates greenhouse gas (GHG) mitigation plans and future trends in energy sustainability through multi-criteria decision analysis (MCDA), considering the technical, social, economic, and environmental dimensions of the sustainability structure. A total of twelve (12) sustainability indexes were taken into consideration; these consist of two (2) technical, three (3) social, three (3) environmental, and four (4) economic indicators. A scenario-based software called Long-range Energy Alternative Plan (LEAP) was used to integrate the analysis criteria and forecast a sustainable energy generation mix for the future. It considered three scenarios, namely: the business as usual scenario (BAU); renewables, natural gas and biomass scenario (RNB); and renewables and coal scenario (REC). It was concluded that the renewables, natural gas, and biomass scenario (RNB) is the best scenario to solve Nigeria’s energy problem based on the aim of the study
Artificial Neural Network and Particle Swarm Optimization for Medium Term Electrical Load Forecasting in a Smart Campus
No full textEnergy demand has continued to increase rapidly not exempting Covenant University. As the university continues to witness infrastructural expansion and population increase, it has become a necessity for energy consumption to be predicted. Hence, this research work developed a medium-term load forecasting system to solve this problem and ensure an efficient electricity supply from the power system operators of Covenant University. The forecast was carried out on real-time monthly load data collected from the university community power plant between 2015 and 2018, using the Artificial Neural Network (ANN) model. A medium-term load forecast was evaluated based on three different ANN algorithms. The FeedForwardNet, Cascadeforwardnet and Fitnet are tested against three (3) different learning algorithms namely Levenberg Marquardt, Bayesian regularization and BFGS quasi-Newton backpropagation with a particle swarm optimizer. And the network performance was obtained using Normalized Root Mean Square Error (nRMSE %). The result revealed an nRMSE of 0.0634%, a correlation coefficient, r, of 0.9082 and the fastest computation speed of 171.789 seconds. Hence, this study provides a point of reference for other related studies and future energy forecast improvement in the study location
Solid Verifiable Credentials
No full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 63-66).Credentials are an integral part of our lives, as they express our capabilities and enable access to restricted services and benefits. In the early 2010s, the Verifiable Claims Working Group of the World Wide Web Consortium (W3C) proposed a specification for what is now the Verifiable Credentials Data Model. This living specification, which is still in development, outlines a cogent framework for the issuance, storage, presentation, and verification of credentials on the Web. Many of the leading Verifiable Credentials projects leverage Distributed Ledger Technology (DLT), potentially compromising Web interoperability and sometimes exposing otherwise personal data. SolidVC is a decentralized Verifiable Credentials platform built with the open protocols of the Web. It is implemented on top of Solid, a Web framework developed at MIT in 2016 that allows decentralized applications to interact with personal user data to provide services in an access controlled environment.by Kayode Yadilichi Ezike.M. Eng.M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienc
Analiza produkcji opartej na odnawialnych źródłach energii w afryce zachodniej – studium przypadku Nigerii
No full textMisra, Sanjay/0000-0002-3556-9331The limited supply of fossil fuels, constant rise in the demand of energy and the importance of reducing greenhouse emissions has brought about the adoption of renewable energy sources for generation of electrical power. In this paper, the impact of renewable energy generation in Nigeria is explored. A review of renewable deposits in Nigeria with a focus on Solar, Biomass, Hydropower, Pumped Storage Hydro and Ocean energy is detailed. The impact of renewable energy-based generation is assessed from three different dimensions: Economic Impact, Social Impact and Environmental Impact. In accessing economic impact; the conditions are employment and job creation, gross domestic product (GDP) growth and increase in local research and development. To analyze the social impact; renewable energy education, renewable energy businesses, ministries and institutes, renewable energy projects and investments as well as specific solar and wind projects across Nigeria were considered. Also, environmental issues were discussed. Similarly, policy imperatives for renewable energy generation in Nigeria was provided. This paper would be useful in accessing the successes Nigeria has experienced so far in the area of sustainable development and the next steps to achieving universal energy for all in Nigeria in 2030.Social Science Citation Inde
Analiza produkcji opartej na odnawialnych źródłach energii w Afryce Zachodniej – studium przypadku Nigerii
No full textThe limited supply of fossil fuels, constant rise in the demand of energy and the importance of reducing greenhouse emissions has brought about the adoption of renewable energy sources for generation of electrical power. In this paper, the impact of renewable energy generation in Nigeria is explored. A review of renewable deposits in Nigeria with a focus on Solar, Biomass, Hydropower, Pumped Storage Hydro and Ocean energy is detailed. The impact of renewable energy-based generation is assessed from three different dimensions: Economic Impact, Social Impact and Environmental Impact. In accessing economic impact; the conditions are employment and job creation, gross domestic product (GDP) growth and increase in local research and development. To analyze the social impact; renewable energy education, renewable energy businesses, ministries and institutes, renewable energy projects and investments as well as specific solar and wind projects across Nigeria were considered. Also, environmental issues were discussed. Similarly, policy imperatives for renewable energy generation in Nigeria was provided. This paper would be useful in accessing the successes Nigeria has experienced so far in the area of sustainable development and the next steps to achieving universal energy for all in Nigeria in 2030.Ograniczona podaż paliw kopalnych, stały wzrost zapotrzebowania na energię oraz konieczność ograniczenia emisji gazów cieplarnianych pociągnęły za sobą konieczność stosowania odnawialnych źródeł energii do wytwarzania energii elektrycznej. W artykule zbadano wpływ wytwarzania energii odnawialnej w Nigerii. Szczegółowy przegląd zasobów energii odnawialnej w Nigerii, ze szczególnym uwzględnieniem energii słonecznej, biomasy, energii wodnej i elektrowni szczytowo-pompowych i energii oceanicznej. Produkcja energii ze źródeł odnawialnych została przeanalizowana w trzech różnych wymiarach: wpływ na gospodarkę, wpływ na społeczeństwo i wpływ na środowisko. W aspekcie wpływu na gospodarkę wzięto pod uwagę: zatrudnienie i tworzenie miejsc pracy, wzrost produktu krajowego brutto (PKB) oraz wzrost lokalnych badań i rozwój. Analiza wpływu społecznego objęła: edukację w zakresie energii odnawialnej, przedsiębiorstwa, ministerstwa i instytuty zajmujące się energią odnawialną, projekty i inwestycje w zakresie energii odnawialnej, a także konkretne projekty dotyczące energii słonecznej i wiatrowej w całej Nigerii. Omówiono również kwestie środowiskowe. W podobny sposób przedstawiono imperatywy polityczne dotyczące wytwarzania energii odnawialnej w Nigerii. Ten artykuł wskazuje na istotny dla Nigerii cel zrównoważonego rozwoju, jakim jest odnawialna energia dla wszystkich. Celem jest osiągnięcie w tym kraju powszechnej odnawialnej energii dla wszystkich w 2030 r
Performance evaluation of the prospects and challenges of effective power generation and distribution in Nigeria
No full textEffective Electric Power Generation and Distribution result in the overall increase in efficiency in
an economy. Nigeria generates 4500 MW for a population of 200 million people; hence, more
than 50% of the population has no electricity access, and those with access experience power
outages. Inasmuch as Nigeria is blessed with a vast amount of renewable energy sources, the
country heavily relies on Natural Gas for power Generation. With regards to Power Generation, it
is seen that the Power Generated is not evacuated efficiently. The purpose of this study is to access
the growth of the Nigerian Power Sector from 1898 till date. This is achieved by evaluating the
Power Sector Reforms enacted by different government to analyze their effectiveness. Furthermore,
the study reviews strategically research that have discussed the strengths and weakness of
the Nigerian Power Sector to be able to suggest hidden opportunities and reveal threats to the
attainment of sustainable energy for all in 2030. Some of the Challenges discovered were energy
user challenges, financial challenges, and energy losses. Some solutions and opportunities are the
use of distributed generation, smart meters and the implemented of a smart grid system. In the
long run, the authors propose that viable renewable energy sources in each State of the federation
be tapped for Power Generation this would enable each State to the self-reliant and contributors
to the Nigerian Power Generation Pool. It is believed that this actions would promote economic,
social and technological benefits for the every stakeholder
A bibliometric review of grid parity, energy transition and electricity cost research for sustainable development
No full textAs the topic of sustainable development continues to prominence in global affairs, the case for renewable energy has never been stronger. To be regarded as a perfect alternative to conventional (non-renewable) energy sources in many climes, renewable energy, such as solar and wind, shows promise when considering concepts like grid parity. A significant number of studies have been devoted to understanding the concept. However, only a few studies have committed themselves to analysing the research activity carried out on it. This paper will present a bibliometric and empirical review of worldwide grid parity, energy transition, and electricity cost research. To situate the progress in this research area, a detailed search of Scopus was used to identify and situate research development in the field from 1965 until 2021. Using the data extracted from Scopus and VOSviewer for analysis, we explore different aspects of the publications, such as the volume, growth rate, and coverage of published documents, the most influential research papers and journals in this research area, and the most studied research themes in recent years. We also discuss Governmental policies in developed and developing economies that have accelerated the attainment of Grid parity in certain countries. Also, an empirical review of top-down, bottom-up, and artificial neural network approaches to evaluating grid parity was conducted. The study revealed a steady increase in the research articles focused on grid parity, energy transition, and electricity cost research from 2006. The geographic distribution of the publications shows that most of the publications on the subject originated from the USA, Germany, China, United Kingdom, and Spain, raking in 42.2% of the publications. Also, the top 7 authors with the highest document count from Scopus are from Finland, which coincidentally is one of the countries making significant progress in Grid parity attainment. Of the total document count from Scopus, only 0.02% are papers published from African Countries. Could this reluctance to publish research findings on energy transition be one of the reasons for the slow progression of sustainable energy for all in Africa? Therefore, it is imperative now more than ever for more research focusing on the attainment of grid parity, energy transition, and electricity costs for developing countries to be brought to the fore. This article provides a review of state-of-the-art research on the attainment of grid parity and energy transition with a focus on the Levelized Cost of Electricity (LCOE) models of renewable energy sources
Changing Minds: Towards Water-Based Architecture and Public Space for the Future Urban Archipelago
No full textThis blog contribution supports the Urban Archipelago expo at Nieuwe Instituut (NI) in Rotterdam, designed to consist of four elements: a map, a view, a model, and a series of films that depicted a future of living with water, as well as a booklet that documented student work. The expo has been part of the Water Cities Rotterdam, which opened with the work of Kunlé Adeyemi (NLÉ) on 13 May 2023.History, Form & AestheticsUrban Desig
Single-label machine learning classification revealed some hidden but inter-related causes of five psychotic disorder diseases
No full textPsychotic disorder diseases (PDD) or mental illnesses are group of illnesses that affect the minds and impair the cognitive ability, retard emotional ability and obstruct the process of communication and relationship with others and are characterized by delusions, hallucinations and disoriented or disordered pattern of thinking. Prognosis of PDD is not sufficient because of the nature of the diseases and as such adequate form of diagnosis is required to detect, manage and treat the illness. This paper applied the single-label classification (SLC) machine learning approach in mining of electronic health records of people with PDD in Nigeria using eleven independent (demographic) variables and five PDD as target variables. The five PDDs are Insomnia, Schizophrenia, Minimal Brain dysfunction (MBD), which is also known as Attention-Deficit/Hyperactivity Disorder (ADHD), Vascular Dementia (VD) and Bipolar Disorder (BD). The aim of using SLC is that it would be easier to detect some PDDs that are related to each other without the loss of information, which is a plus over multi-label classification (MLC). ReliefF algorithm was used at each experiment to precipitate the order of importance of the independent variables and redundant variables were excluded from the analysis. The order of the variables in feature selection was matched with feature importance after the classifications and quantified using the Spearman rank correlation coefficient. The data was divided into: 70% for training and 30% for testing. Four new performance metrics adapted from the root mean square (RMSE) were proposed and used to measure the differences between the performance results of the 10 Machine learning models in terms of the training and testing and secondly, feature and without feature selection. The new metrics are close to zero which is an indication that the use of feature selection and cross validation may not greatly affects the accuracy of the SLC. When the PDDs are included as predictors for classifying others, there was a tremendous improvement as revealed by the four new metrics for classification accuracy (CA), precision and recall. Analysis of variance showed the four different metrics differs significantly for classification accuracy (CA) and precision. However, there were no significant difference between the CA and precision when the duo are compared together across the four evaluation metrics at p value less than 0.05
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