Assessment of a 50MW Photovoltaic Power Plant in Igabi, Kaduna State, Nigeria
Abstract
This paper presents the assessment of a 50MW Photovoltaic (PV) power plant in Igabi, Kaduna State of Nigeria. The assessment of a solar power plant involves the collection of data relating to satellite derived and land-based measurement, simulation and assessment of the PV power plant technology. The PV plant design was developed initially as part of a prefeasibility study, which was based on preliminary energy resource and generation estimate. For risk technical valuation purposes, there was need for a report of uncertainties related to the solar energy estimation and meteorological data inputs. The solar resource assessment study shows the probabilities of exceedance of minimum annual productions, with a confidence level of 90%, 95% or 99%. Meteorological data is collated with the help of a mounted MET-Station on site to identify losses (irradiation, electrical and system losses). The generation simulation was done using SolarGis TMY P50 file and PV SYST 6.61 pc software package for the study, sizing, simulation and data analysis of complete PV system. The results show specific key elements and environmental conditions to be used during the design phase of the PV system, the reliable detailed route survey report of 132kV double circuit transmission line at Igabi, which is the injection (feed-in) point of the expected power to be generated was confirmed and the amount of losses estimated between modules and feed-in point was also determined. Additionally, the uncertainties of the input parameters, i.e., assumed losses, available data and simulation models, which provided a more reliable estimation and knowledge about the system was understood. Typical meteorological year, P50 values for each month, the average climate changes and the most representation cumulative distribution function was used to collate data for intended PV plant assessment.
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References
Benavides, N. D., & Chapman, P. L. (2008). Modelling the Effect of Voltage Ripple on the Power Output of Photovoltaic Modules. IEEE Transactions on Industrial Electronics, 55(7), 2638-2643
Friedrich, S., & Thomas, E. (2004). Photovoltaic in Buildings, a Design Handbook for Architects and Engineers. Fraunhofer Institute for Solar Energy Systems ISE, Freiburg, Germany.
Ineichen, P. (2011). Five Satellite Products Deriving Beam and Global Irradiance Validation on Data from 23 Ground Stations, University of Geneva. IEA SHC Task, 36.
Okundamiya, M. S. & Omorogiuwa, O. (2015). Viability of a Photovoltaic Diesel Battery Hybrid Power System in Nigeria, Iranica Journal of Energy and Environment, 6(1): 5-12.
Okundamiya, M. S. (2015). Modelling and Optimization of a Hybrid Energy System for GSM Base Transceiver Station Sites in Emerging Cities, Ph.D. Thesis, University of Benin, Benin City, Nigeria.
Okundamiya, M. S., Emagbetere, J. O. & Ogujor, E. A. (2014). Assessment of Renewable Energy Technology and a Case of Sustainable Energy in Mobile Telecommunication Sector, Scientific World Journal, vol. 2014, 1-13.
Olawore, F., & Ojo, A. (2016). Environmental and Social Impact Assessment for the proposed 50MW PV power plant in Igabi, Kaduna State, Nigeria. Haskoning DHV Nigeria LTD, Nigeria.
Perez, R., Ineichen, P., Seals, R., Michalsky, J., & Stewart, R. (1990). Modelling Daylight Availability and Irradiance Components from Direct and Global Irradiance. Solar energy, 44(5), 271-289.
Rhodes, J., Upshaw, C., Cole, W., Holcomb, C., & Webber, M., (2004). A Multi-Objective Assessment of the Effect of Solar PV Arrays Orientation and Tilt on Energy Production and System Economics, Solar Energy, 30-35.
Roland, W. (2005). Modelling and Simulation of a Solar Energy System. Arizona: Johnson Perk Printing Press.
Stackhouse Jr., P. W., Chandler, W. S., Zhang, T., Westberg, D., Barnett, A. J., & Hoell, J. M. (2016). Surface Meteorology and Solar Energy (SSE) Release 6.0 Methodology Version 3.2. 0 June 2, 2016.
Stoffel, M., Khodri, M., Corona, C., Guillet, S., Poulain, V., Bekki, S., Guiot, J., Luckman, B. H., Oppenheimer, C., Lebas, N., Beniston, M., & Masson-Delmotte, V. (2015). Estimates of volcanic-induced cooling in the Northern Hemisphere over the past 1,500 years, Nat. Geosci., 8, 784–788, doi:10.1038/ngeo2526.
Thevenard, D., Driesse, A., Pelland, S., Turcotte, D., & Poissant, Y. (2010). Uncertainty in Long-Term Photovoltaic Yield Predictions. Natural Resources Canada
Wang, H., & Donglai, Z. (2010). The Stand-Alone PV Generation System with Parallel Battery Charger. International Conference on Electrical and Control Engineering, Shanghai, 4450-4454.
Copyright (c) 2018 Owen Omorogiuwa, M. S. Sayeed

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