 Corresponding author: Koyejo Oduola Chemical Engineering Department, University of Port Harcourt, Nigeria. Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0. Application of agglomerative hierarchical clustering and logistic model development for assessing solar energy acceptability as an alternate energy option Koyejo Oduola * and Zorbarile Atukomi Chemical Engineering Department, University of Port Harcourt, Nigeria. Global Journal of Engineering and Technology Advances, 2021, 07(01), 103–112 Publication history: Received on 10 March 2021; revised on 15 April 2021; accepted on 17 April 2021 Article DOI: https://doi.org/10.30574/gjeta.2021.7.1.0055 Abstract This paper is focused on the assessment of acceptability of solar energy as an alternate efficient energy management option using Agglomerative Hierarchy Cluster (AHC) and logistic regression modelling approach. The study population includes randomly selected shop-owners and residential occupants within the Port Harcourt city in Rivers State, Nigeria. The collected data sets were subjected to AHC analysis using a statistical package XLSTAT 2016 version 4.6. The central object identified from the application of AHC with respect to the sampled shop-owners and residential occupants as pertaining to the acceptability of solar energy as an alternate efficient energy management option was centered around the financial implication of energy generation and the political influence of the government solar energy policies for energy generation. Finally, logistic regression modelling approach was applied into developing a predictive model for the probability of general acceptance (variable ‘yes’) of solar energy as an effective energy management system. From the developed model the chance of acceptance of a solar energy management system is 1% with 59.5% rejection from the study population while it is 99% with an unawareness level of 40.51% from the study population. Keywords: Acceptability; Agglomerative hierarchy clustering; Logistic regression modeling: Solar energy 1. Introduction Given the huge potential for solar power generation (and other forms of renewables), the whole world including Nigeria has been making considerable efforts to diversify its energy mix (with less emphasis on thermal generation) and invest heavily on research and development on the exploitation of solar and other renewable energy technologies. In terms of a legal, regulatory and tariff framework, a lot has been done in terms of policy and regulation [1, 2, 3, 4, 5, 6]. Procurement, establishment/ installation as well as advancement of a solar system in a megacity could be hindered with issues such as economic viability, inadequate research and innovation into solar energy development, non- compliance to existing buildings and other power distribution challenges and also the unawareness/unacceptability of the general public who are not familiar with the increasing contribution of solar based energy to the total electricity source. Majority are unaware of the fact that solar PV systems are in measured frame and can be designed and arranged in series and in parallel to accomplish the coveted power yield. Solar thermal can deliver heat by consolidating temperature and mass (water or hydrogen et cetera) running into Kilowatt or Megawatt to run a turbine that can create an equivalent measure of electric power as the current ordinary power supply [2, 4]. The problem of storing large amount of solar energy after it has been converted to electrical energy is a huge challenge yet to be overcome before solar energy becomes a major contributor to the world energy grid [6]. A major infrastructure investment will be necessary for such a storage system to be possible. Also, transporting energy from