The Electronics Laboratory is a learning facility that students and faculty can utilize for research and learning activities. The motivation for this project is to make available a backup power system to be used in moments of a power outage, especially during laboratory sessions. Solar energy is chosen because the aggregate solar energy incident on the earth's surface exceeds by far amount the required estimated energy needs of the world's population. The site location, Ogun State, Nigeria, has an average of about six hours of sunshine per day. In addition, solar energy represents a clean source of energy. In this work, a 5 kVA solar photovoltaic system has been installed. It can supply energy of 18060 Wh/day. It was implemented as a backup power supply to the Electronics Laboratory. It can run for 01:30 hours at full load when not being charged. The initial cost of carrying out a solar project is quite high. However, the support cost dwindles significantly throughout an extensive period compared to when available power is solely reliant on utility.View less Metadata Contents I. Introduction Solar energy is electricity generated by the sun's rays. The total amount of solar energy on the planet far outnumbers the world's current and forecast energy needs. The quantity of sunlight that reaches the earth in an hour and a half is enough to fuel the world's energy consumption for a year [1]. The sun is indeed the earth's major source of endless free energy.

Background: In this work, a COVID19 Application Programming Interface (API) was built using the Representational State Transfer (REST) API architecture and it is designed to fetch data daily from the Nigerian Center for Disease Control (NCDC) website. Methods: The API is developed using ASP.NET Core Web API framework using C# programming language and Visual Studio 2019 as the Integrated Development Environment (IDE). The application has been deployed to Microsoft Azure as the cloud hosting platform and to successfully get new data from the NCDC website using Hangfire where a job has been scheduled to run every 12:30 pm (GMT + 1) and load the fetched data into our database. Various API Endpoints are defined to interact with the system and get data as needed, data can be fetched from a single state by name, all states on a particular day or over a range of days, etc. Results: The results from the data showed that Lagos and Abuja FCT in Nigeria were the hardest-hit states in terms of Total Confirmed cases while Lagos and Edo states had the highest death causalities with 465 and 186 as of August 2020. This analysis and many more can be easily made as a result of this API we have created that warehouses all COVID19 Data as presented by the NCDC since the first contracted case on February 29, 2020. This system was tested on the BlazeMeter platform, and it had an average of 11Hits/s with a response time of 2905milliseconds. Conclusions: The extension of NaijaCovidAPI over existing COVID19 APIs for Nigeria is the access and retrieval of previous data. Our contribution to the body of knowledge is the creation of a data hub for Nigeria's COVID-19 incidence from February 29, 2020, to date