K.O. OGBEIDE

The persistent unreliability of the national power grid in Nigeria has significantly hindered economic growth and forced residential consumers to rely on expensive, noisy, and polluting diesel generators to meet their daily electricity needs. This study investigates the technical and economic feasibility of an islanded hybrid photovoltaic (PV)–wind–battery energy system designed to reliably power a residential building in Benin City, Edo State. Using HOMER Pro simulation software, the research modeled and optimized the system for a 3-bedroom apartment with a daily load demand of 21.73 kWh, utilizing local meteorological data. The optimal system configuration was determined to include a 5 kW solar PV array, three 1 kW wind turbines, a 34.8 kWh battery bank, and a 3.5 kW converter. This configuration achieved a 100% renewable fraction and high reliability, with a Loss of Power Supply Probability (LPSP) of 0.78% and a Loss of Load Expectation (LOLE) of approximately 22 hours per year. Economic analysis revealed a Net Present Cost (NPC) of ₦132,850,500 and a Levelized Cost of Energy (LCOE) of ₦1,305/kWh, placing the system within the competitive range of diesel-based alternatives. Furthermore, a comprehensive sensitivity analysis confirmed that the system remained economically viable across all tested scenarios, affirming the suitability of hybrid renewable systems for off-grid residential applications in Nigeria

This study analyses the effect of audit committee characteristics on the financial reporting quality of quoted consumer goods companies in Nigeria. The purpose of this research is to examine the relationship between the dependent variable, financial reporting quality and the independent variables, audit committee independence, audit committee size, audit committee financial expertise and audit committee meeting frequency. Secondary data was used in this study and the sample size for the study was
derived using Taro Yamane formula. Data were obtained from annual reports of the 21 consumer goods companies listed on the Nigerian Exchange Group from 2018 to 2022. Descriptive statistics, correlation, and Ordinary Least Squares (OLS) regression were used to analyze the data. The study finds that audit committee independence and audit committee financial expertise have a positive and significant effect on financial reporting quality while audit committee frequency of meeting and audit committee size have positive but insignificant effect on financial reporting quality. The study recommends that training and seminars be organised for audit committee members in order to keep them up to date on their roles and responsibilities, allowing them to be more effective and efficient in their assignments. Furthermore, this study recommends that the independent directors of the audit committee should make up the larger number than the shareholder’s representative.

This project focuses on designing a monitoring system using an Internet of Things (IoT) device that sends data to Thingspeak, a cloud-based platform. Solar system are affected by various factors such as temperature, weather condition and light intensity, on their output performance. These factors can lead to inefficient performance, increased maintenance cost and so on. Therefore, the aim of the project Is to design and implement an intelligent virtual monitoring system that utilizes IoT to monitor PV solar panel array. To achieve this work, the role was centred on light sensor, voltage sensor and temperature sensor. These sensors are connected to on IoT gateway or a local data acquisition unit that acts as a bridge between the sensors and the internet collects the sensors data and prepares it for transmission to the cloud. Testing the monitoring system works satisfactorily. Having humidity of 85g/m3 on average, voltage of 35.78V during the day and 0V at night, temperature as high as 300c and low as 270c and luminance of 4201cd/m2 during the day and 0cd/m2 at night.

This project focuses on designing a monitoring system using an Internet of Things (IoT) device that sends data to Thingspeak, a cloud-based platform. Solar system are affected by various factors such as temperature, weather condition and light intensity, on their output performance. These factors can lead to inefficient performance, increased maintenance cost and so on. Therefore, the aim of the project is to design and implement an intelligent virtual monitoring system that utilizes IoT to monitor PV solar panel array. To achieve this work, the role was centred on light sensor, voltage sensor and temperature sensor. These sensors are connected to on IoT gateway or a local data acquisition unit that acts as a bridge between the sensors and the internet collects the sensors data and prepares it for transmission to the cloud. Testing the monitoring system works satisfactorily. Having humidity of 85g/m3 on average, voltage of 35.78V during the day and 0V at night, temperature as high as 30 0c and low as 27 0c and luminance of 4201cd/m2 during the day and 0cd/m2 at night

This project focuses on designing a monitoring system using an Internet of Things (IoT) device that sends data to Thingspeak, a cloud-based platform. Solar system are affected by various factors such as temperature, weather condition and light intensity, on their output performance. These factors can lead to inefficient performance, increased maintenance cost and so on. Therefore, the aim of the project Is to design and implement an intelligent virtual monitoring system that utilizes IoT to monitor PV solar panel array. To achieve this work, the role was centred on light sensor, voltage sensor and temperature sensor. These sensors are connected to on IoT gateway or a local data acquisition unit that acts as a bridge between the sensors and the internet collects the sensors data and prepares it for transmission to the cloud. 22 Testing the monitoring system works satisfactorily. Having humidity of 85g/m3 on average, voltage of 35.78V during the day and 0V at night, temperature as high as 300c and low as 270c and luminance of 4201cd/m2 during the day and 0cd/m2 at night.