Energy Optimization at Datacenters in Two Different Locations of Nigeria

Abstract

Two areas within the nation (Nigeria) were chosen for the energy optimization of their Datacenters. The evaluations of combinations of different specific energy options were used to determine the least-cost energy pathway for the optimization of each Datacenter's power. The optimization approach conducted was a sequential search for a possible option and combinations of grid supply, diesel generator, wind turbine and solar photovoltaic cell power generation. The results show that, grid is the best choice economically, because it attracts the least cost but the problem is that, the grid is not reliable and not efficient within the nation. From an environmental perspective there were significant benefits in using Hybrid Solar-Grid power. It was observed that the diesel generator is out of place looking at the huge amount involved. From the results, Datacenter could save (9,731kg; 8,536kg) of CO 2 emissions annually in Abuja (FCT) and Nkanu-West (Enugu State), respectively by removing backup Diesel Generators and by using Solar-Grid as a power source .

The Use of the Data Transformation Techniques in Estimating the Shape Parameter of the Weibull Distribution for the Wind Speed

“…It is known that the Weibull distribution is an accepted lifetime model in reliability (Abernethy, 1996) and also it is the most widely-used distribution to estimate wind energy potential (Akdag & Dinler, 2009;Ani et al 2012;Badmasti et al2012;Saleh et al 2012;Bagiorgas et al 2011). For this reason, in the literature, many estimators have been proposed for the parameters of the Weibull distribution and these estimators have been compared according to different criteria (Gibbons & Vance, 1981;Bergman, 1986;Zixing, 1993;Tiryakioğlu & Hudak, 2007;Drapella & Kosznik, 1999;Hossain & Zimmer, 2003;Kantar & Senoglu, 2008;Hung, 2001;Hossain & Howlader, 1996;Lu et al 2004;Marks, 2005;Zhang et al 2008;Zyl, 2012).…”