Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9589
Title: Modelling of auctioning mechanism for solar photovoltaic capacity
Authors: Poullikkas, Andreas 
metadata.dc.contributor.other: Πουλλικκάς, Ανδρέας
Major Field of Science: Engineering and Technology
Field Category: Environmental Engineering
Keywords: Capacity auctioning;Photovoltaics;Renewable energy sources
Issue Date: 2-Sep-2014
Source: International Journal of Sustainable Energy, 2014, vol. 35, no. 9, pp. 875-886
Volume: 35
Issue: 9
Start page: 875
End page: 886
Journal: International Journal of Sustainable Energy 
Abstract: In this work, a modified optimisation model for the integration of renewable energy sources for power-generation (RES-E) technologies in power-generation systems on a unit commitment basis is developed. The purpose of the modified optimisation procedure is to account for RES-E capacity auctions for different solar photovoltaic (PV) capacity electricity prices. The optimisation model developed uses a genetic algorithm (GA) technique for the calculation of the required RES-E levy (or green tax) in the electricity bills. Also, the procedure enables the estimation of the level of the adequate (or eligible) feed-in-tariff to be offered to future RES-E systems, which do not participate in the capacity auctioning procedure. In order to demonstrate the applicability of the optimisation procedure developed the case of PV capacity auctioning for commercial systems is examined. The results indicated that the required green tax, in order to promote the use of RES-E technologies, which is charged to the electricity customers through their electricity bills, is reduced with the reduction in the final auctioning price. This has a significant effect related to the reduction of electricity bills.
URI: https://hdl.handle.net/20.500.14279/9589
ISSN: 14786451
DOI: 10.1080/14786451.2014.953162
Rights: © Taylor & Francis.
Type: Article
Affiliation : Cyprus University of Technology 
American University of Sharjah 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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