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Title: Levelized cost of electricity for photovoltaic/biogas power plant hybrid system with electrical energy storage degradation costs
Authors: Lai, CS
Jia, Y
Xu, Z
Lai, LL
Li, X
Cao, J
McCulloch, MD
Keywords: Off-grid system;Battery capacity degradation;Photovoltaic system;LiCoO2 battery
Issue Date: 10-Oct-2017
Publisher: Elsevier
Citation: Lai, C. S., Jia, Y., Xu, Z., Lai, L. L., Li, X., Cao, J., & McCulloch, M. D. (2017). Levelized cost of electricity for photovoltaic/biogas power plant hybrid system with electrical energy storage degradation costs. Energy Conversion and Management, 153, 34-47.
Abstract: Off-grid renewable energy system is a critical infrastructure in providing electrical power for small communities, especially in remote and rural areas where grid connection points are not available. Due to the diurnal and intermittent nature of solar irradiance, the photovoltaic (PV) power plant can introduce generation and load power imbalance issue. Anaerobic digestion biogas power plant (AD) also has a part-load operation constraint that needs to be met. To overcome these issues, electrical energy storage (EES) such as Graphite/LiCoO needs to be employed to provide generation flexibility. The research work provided in this paper is twofold. An optimal operating regime is devised for the PV-AD-EES hybrid system, followed by a study on the levelized cost of electricity (LCOE). Degradation cost per kWh and degradation cost per cycle for EES are considered. 22 years (1994–2015) of irradiance data for Turkwel Gorge Dam, Kenya (1.90°N, 35.34°E) and the Kenya national load are used for the study. With the current technology costs and a discount rate at 8%, it is shown that the capital cost for LiCoO needs to be reduced to 200 $/kWh to be economically competitive with dispatchable source such as AD biogas power plant by considering the EES degradation costs. 2 2
Description: © 2017 Elsevier Ltd. All rights reserved. This is the accepted manuscript version of the article. The final version is available online from Elsevier at:
ISSN: 0196-8904
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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