Analysis of Hydrological Data Processing for Hydropower Plant Projects in Georgia
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 4
Abstract
The article reviews the problems associated with the statistical processing of hydrological data time series, which we found during the study of a number of prospective HPP projects in Georgia. The case study of the projects was to determine the causes of a discrepancies between the actual values and the design values of the HPP parameters (design flow, installed capacity, installed capacity factor, average annual energy production) of already implemented new HPP projects. Due to these discrepancies, the payback period of the project increased, the actual value of the Installed Capacity Factor (ICF) is less than its design value. Studies of existing projects have shown that the reason for this is the ignoring of the main requirements of normative documents and generally accepted recommendations by some designers, due to which the design hydrological characteristics were not determined correctly.
Authors and Affiliations
Paata Jokhadze, Aleksander Jokhadze
Keywords
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