PERFORMANCE EVALUATION OF ENERGY-SAVING BULBS IN SELECTED NIGERIAN LOCATIONS WITH ARTIFICIAL NEURAL NETWORK MODELLING

A. D. Ogunsola; O. Olaogun; A. J. Adeyi; O. Adeyi; M. O. Ibiwoye; A. A. Adegbola

A. D. Ogunsola Department of Mechanical Engineering, Ladoke Akintola University of Technology, P.M.B.4000, Ogbomoso, Oyo State. Nigeria.
O. Olaogun Department of Mechanical Engineering, Kwara State University, Malete, Kwara State
A. J. Adeyi Department of Mechanical Engineering, Ladoke Akintola University of Technology, P.M.B.4000, Ogbomoso, Oyo State. Nigeria.
O. Adeyi Department of Chemical Engineering, Michael Okpara University of Agriculture, P.M.B 7267, Umudike Abia State, Nigeria
M. O. Ibiwoye Department of Mechanical Engineering, Kwara State University, Malete, Kwara State
A. A. Adegbola Department of Mechanical Engineering, Ladoke Akintola University of Technology, P.M.B.4000, Ogbomoso, Oyo State. Nigeria.

Keywords: Energy-saving technology, artificial neural networks, compact fluorescent light, cost-effectful, environmentally friendly

Abstract

The performance evaluation of energy-saving bulbs in the Nigerian market is crucial in assisting energy auditing, which is beneficial to producers and consumers of electricity. Specifically, the high-power bills issued monthly by Electricity Distribution Company in most parts of Nigeria have made Nigerians in our various domestic homes embrace the latest lighting technology that consumes less energy.In this study, lighting system data were obtained from twenty-four households from different geographical zones in Nigeria. The performance evaluation of compact fluorescent light(CFL) bulbs was investigated and the observation was predicted with artificial neural networks (ANN) to enhance informed policy formulation and decision-makingResults showed that CFL bulbs givehigh-quality light that is cost-effective and environmentally friendly. ANN predicted the observation with high accuracies