Analysis of Energy Usage Pattern of a Nigerian University Digital Resource Center (DRC):

FUTA DRC as a Case Study

Authors

  • F. M. Dahunsi Department of Electrical and Electronics Engineering, Federal University of Technology, Akure, Nigeria
  • S. O. Oluponna Department of Electrical and Electronics Engineering, Federal University of Technology, Akure, Nigeria

Keywords:

Digital, resource, centre, (DRC)

Abstract

The existing facilities at Digital resource centre (DRC) at the Federal University of Technology, Akure (FUTA) has witnessed unpleasant disasters that claimed valuable properties including structural damage. An electrical power appliance may suffer breakdown or deterioration if it is subjected to an intense working condition above its intended operating capacity. Presently, no known study has been carried out or documented in the management and operation of the DRC under an intense operating condition. Furthermore, the technical requirements of the existing system facilities to meet the demands under prevailing working situation has not been accounted for. This paper adopts historical load consumption data mining using on the spot assessment and exponential regression analysis to determine both the existing and future technical requirements of the facilities at the DRC. Daily energy data were taken using a dedicated energy meter three times daily to determine the peak load hour, plan system maintenance and provide for adequate resources and facilities for smooth system operation. Upon analysis, results showed that the existing electrical facilities at DRC do not have the capacity to meet all the available loads. The existing electrical facilities at DRC can operate up to 45% of the total available loads under good voltage profile supply (maintained at 100% of the nominal values). Under poor voltage profile, the system loading may not operate above 40% to prevent overheating of the electrical cables.

References

Caleb, A. Amlabu, U. Agber Jonathan, O. Onah Cletus, and Y. Mohammed Suberu. 2013. “Electric Load Forecasting: A Case Study of the Nigerian Power Sector .” International Journal of Engineering and Innovative Technology (IJEIT) 5: 13-18.

CCE, FUTA. 2018. “University Advanced Basic Science (UABS).” 27 March. Accessed April 3, 2018. https://cce.futa.edu.ng/page.php?pageid=950.

Dada, Peter. 2017. “Post-UTME: 13,500 students jostle for 3,500 admission spaces in FUTA.” Punch Nigeria. 9 October. Accessed April 3, 2018. http://punchng.com/post-utme-13500-students-jostle-for-3500-admission-spaces-in-futa/.

Esra, Uzel. 2004. “A Mathematical Modeling Approach to Energy Cost Saving In A Manufacturing Plant .” Turkey: Izmir Institute of Technology.

Glover, J D, M S Sarma, and T J Overbye. 2008. Power System Analysis and Design. Sixth Edition. Australia: Thomson.

Idoniboyeobu, D.C., and M.B. Ekanem. 2014. “Assessment of Electric Load Demand and Prediction of Future Load Demand: A case study of Akwa Ibom State of Nigeria.” Asin Journal of Scientific Research 12.

Maxwell, Umunna Nwachukwu, Flora Ezedinma Nnena, and Jiburum Uloma. 2014. “Comparative Analysis of Electricity Consumption among Residential, Commercial and Industrial Sectors of the Nigeria’s Economy.” Journal of Energy Technologies and Policy 7 13 (5): 12-18.

Ogundipe, Adeyemi A., and Apata Ayomide. 2013. “Electricity Consumption and Economic Growth in Nigeria.” Journal of Business Management and Applied Economics 14.

Saadat, H. 2002. Power System Analysis. New Delhi: Tata McGraw Hill Ltd.

Subhes, C. Bhattacharyya, and R. Timilsina Govinda. 2010. “A review of energy system models.” International Journal of Energy Sector Management 4 (4): 494-518.

The Federal University of Technology, Akure. 2018. The Federal University of Technology, Akure. Edited by Pre-Degree Science Programme. 27 March. Accessed April 3, 2018. https://cce.futa.edu.ng/page.php?pageid=949.

Yohanna, Irimiya, Iortyer A Humphery, and I Aondover Ierve. 2013. “Assessment of energy use pattern in residential buildings of Kano and Kaduna Northern Nigeria .” American Journal of Engineering Research (AJER) 6 (2): 271-275.

Zhe, Chen. 2010. “Bayesian Filtering: From Kalman Filters to Particle Filters, and Beyond. Manuscript.”

Downloads

Published

2019-11-17