Abstract
The continuous desire to drift from the conventional sources of energy to renewable energy resources is stymied by the intermittent nature of some of renewable sources such as solar and wind. However, analyses on some of the required conditions in which intermittent energy resources will be attractive and when it will be less attractive are presented in this paper.Pearson’s product moment of correlation coefficient (r) technique was used to calculate to calculate the correlation coefficient with respect to how three distinct hourly load profiles relate to the available solar radiation. The three calculated r values were analysed and applied as the operating strategies for modelling the power system in RETScreen softwareThe results from the three strategies employed show that the positive r value strategy was the most viable option and it can compete with the diesel only system.Therefore, for a distributed power generation system that utilizes an intermittent energy source, the relationship between the intermittent source and the load profile should be considered as an important indicator for determining the feasibility of the project.
Publisher
Trans Tech Publications, Ltd.
Reference23 articles.
1. A. G. Marinopoulos, M. C. Alexiadis, & P.S. Dokopoulos, 'Energy losses in a distribution line with distributed generation based on stochastic power flow',. Electric Power Systems Research, 81(10), p.1986.
2. O. S. Ohunakin, 'Energy utilization and renewable energy sources in Nigeria', Journal of Engineering and Applied Sciences, vol 5, issue 2, p.171–177, (2010).
3. O. S. Ohunakin, 'Wind resource evaluation in six selected high altitude locations in Nigeria',. Renewable Energy, vol36, issue 12, p.3273–3281, 2011. doi: 10. 1016/j. renene. 2011. 04. 026.
4. K. Ajao, O. Oladosu, & O. Popoola, 'Using HOMER power optimization software for cost benefit analysis of Hybrid-solar power generation relative to utility cost in Nigeria',. International Journal of Research and reviews in Applied Sciences, vol7, issue 1, pp.96-102, (2011).
5. N. Jenkins, J. Ekanayake, & G. Strbac, 'Distributed Generation',. The Institution of Engineering and Technology, Michael Faraday House, Six Hills Way, Stevenage SG1 2AY, UK. 2010. doi: 10. 1049/PBRN001E.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献