ABSTRACT
The effects of electric power interruptions resulting from severe power outages were investigated and analyzed using five cold rooms as a case study. Two approaches have been developed and used. One is based on customers' survey that mainly investigates the preparatory actions that a customer may take to reduce the effect of outages. The other one is based on a mathematical model using standard deviation as a measure of dispersion. The spearman's correlation factor with the aid of visual basic program was used to X-ray the cost implication involved in running these cold rooms with the utilization of power supply from PHCN to be more economical than powering from individual power generating sets. Furthermore the regression cost analysis showed that cold room 1, cold room 2, cold room 3, cold room 4, and cold room 5 have a spearman correlation factor of 40.04%, 41.93%, 39.16%, 31.97% and 31.09% respectively, which shows how expensive the use of private power source over using PHCN, while the frequency distribution of power outages stood at a standard deviation of 3.78.