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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Timilehin Sanni
Covenant University
Computer Science & IT

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Cost implications analysis of grid supplied electricity and solar source of electricity in Nigeria Tobiloba Somefun; Claudius Awosope; Ademola Abdulkareem; Joseph Ojo; Elizabeth Amuta; Timilehin Sanni
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 6: December 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i6.13558

Abstract

Energy is a key component in the overall growth of every nation. Insufficient energy delivery hinders political growth, restricts social growth, limits economic growth, and negatively affects the standard of living of citizens, bothin urban and rural areas. Sufficient energy delivery increases food production, improves the standards of living of citizens, improves healthcare and enhancements in other human services, enhances industrial output, provides effective and efficient transportation not forgetting adequate shelter to the citizens of the nation. Currently, there is a significant level of deficiency in Nigeria’s energy sector. This study seeks to address this issue by analysing cost implications of conventional energy source and solar energy source. This study brings to focus the payback period of a solar powered home and the return on investment that might accrue during this time to the residential home owners. Furthermore, the best cost-effective load sharing option for residential owners considering two energy sources is also obtained.
Progressive energy management technique for smart load control Timilehin Sanni; Mobolade Olawale; Amarachi Attah; Anthony Adoghe; Ayokunle Awelewa
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 5: October 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i5.25861

Abstract

Electricity demand is rapidly increasing in many countries especially because of the increase in smart appliances, smart cities, and communities. The use of electricity ranges from agricultural load, to commercial and industrial load, and also residential load which account for the largest contributor to the increase in peak demand. Thus, residential consumers play a massive role in the national demand for electrical energy and power. The increased demand puts increasing pressure on the energy suppliers who force consumers to cope with short peaks. The need arises for an energy management technique to reduce energy consumption by allowing for consumer load control. The method explores using a Raspberry Pi to collect and evaluate the energy consumed over time and allow consumers access to directly control their home appliances. A more accurate load curve is deduced using the new readings gotten from the end-users. The data obtained from the proposed system is sent to a progressive web application that allows users manage their energy consumption.
Co-Authors Ademola Abdulkareem Amarachi Attah Anthony Adoghe Ayokunle Awelewa Claudius Awosope Elizabeth Amuta Joseph Ojo Mobolade Olawale Tobiloba Somefun