Open Access
Subscription or Fee Access
Assessment of Solar Energy Acceptability Using Kolmogorov-Smirnov Distribution Test and Single Factor One-Way Analysis of Variance
Abstract
Extensive study has been carried out on the assessment of acceptability of solar energy as an alternate efficient energy management option. The study area was limited to Port Harcourt city in Rivers State. The study population was grouped into two categories being shop-owners and residential occupants within the study area. Random sampling technique was applied for data collection with structured questionnaires as the major instrument used for data collection. The collected data sets were subjected to Kolmogorov-Smirnov distribution test, and single factor one-way analysis of variance. Regarding the general awareness level between shop-owners and residential occupants with respect to solar energy as alternate energy source, there was a significant difference with shop-owners being unaware. The unawareness of majority of the sampled shop-owners could be attributed to their general education level as majority (86%) of the study population only have basic educational degree (Secondary School degree) of which 60% are the shop-owners while 26% are the sampled residential occupants.
References
Ozoegwu CG, Mgbemene CA, Ozor PA. The status of solar energy integration and policy in Nigeria. Renewable and Sustainable Energy Reviews. 2017; 70: 457-471.
Federal Ministry of Power and Steel (2006). Renewable Electricity Action Program (REAP [Online]. Available from http://www.iceednigeria.org.
Chigbo A.M. The need to embrace Renewable energy technologies in Nigeria. Nigeria Journal of Solar Energy. 2010; 21: 187-195.
Sambo A.S. (2005). Sustainable Energy Development in Nigeria[online]. Available from www.isesco.org.
Sambo, A.S. Proceedings of the Annual General Meeting of the Nigerian Society of Engineers: Renewable Energy Technology for National Development: Energy Crisis in Nigeria. The Way Forward.. Bauchi branch, Bauchi State, Nigeria. 2001.
Akinbami, J.F.K. Renewable Energy Resources and Technologies in Nigeria: Present Situation, Future Prospects and Policy Framework. Mitigation and Adaptation Strategies for Global Change. 2001; 6: 155-182.
Sambo, A.S., (2008). Matching Electricity Supply with Demand in Nigeria. Available from https://www.iaee.org/documents/newsletterarticles/408sambo.pdf.
Mgbemene, CA, J Duffy, H Sun, et al. Electricity generation from a compound parabolic concentrator coupled to a thermoelectric module. Journal of Solar Energy Engineering. 2010; 132(3): 031015-031023.
Sherwania, A.F., Usmani, J.A., Varun. Life cycle assessment of solar PV based electricity generation systems: A review. Renewable and Sustainable Energy Reviews. 2010; 14(1): 540-544.
V.V. Tyagi, Nurul A.A. Rahim, N.A. Rahim, et.al. Progress in solar PV technology: Research and achievement. Renewable and Sustainable Energy Reviews. 2013; 20: 443-461.
Brounen, D, Kok, N. On the economics of energy labels in the housing market. Journal of Environmental Economics and Management. 2011; 62(2): 166–179.
Nwaogazie, I.L. Probability and Statistics for Science and Engineering Practice. Nigeria: De Adroit Innovation; 2011.
Rosner, B. Fundamentals of Biostatistics. 7th ed. Boston: Brook/Cole Cengage Learning. Inc; 2011. pp891.
Zorabi, M. Mixed Method Research: Instruments, Validity, Reliability and Reporting Findings. Theory and Practice in Language Studies, Academy Publisher. 2013;3(2): 254-262.
Cornish, R (2006). Statistics–An Introduction to Sample Size Calculations[online]. Available from https://www.statstutor.ac.uk/resources/uploaded/sample-size.pdf
Kleinbaum, D.G., and Klein M. Logistic Regression, Statistics for Biology and Health -A Self-Learning Text. 3rd ed. New York: Springer New York ;2010.
Reed P., Wu Y. Logistic Regression for Risk Factor Modelling in Stuttering Research. Journal of Fluency Disorders. 2013; 38(2): 88 -101.
Refbacks
- There are currently no refbacks.