Analiza produkcji opartej na odnawialnych źródłach energii w Afryce Zachodniej – studium przypadku Nigerii

The 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

Analiza produkcji opartej na odnawialnych źródłach energii w Afryce Zachodniej – studium przypadku Nigerii

The 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

A bibliometric review of grid parity, energy transition and electricity cost research for sustainable development

As 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

Single-label machine learning classification revealed some hidden but inter-related causes of five psychotic disorder diseases

Psychotic 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