Evaluation of Optimal Energy Productıon Usıng Deterministic, Probabilistic and Risky Cases In a Multi-Reservoir System

Efsun Bacaksız (), Mücahit Opan (), Zuhal Elif Kara Dilek () and Murat Karadeniz ()
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Efsun Bacaksız: University of Bayburt
Mücahit Opan: University of Bayburt
Zuhal Elif Kara Dilek: University of Bayburt
Murat Karadeniz: University of Kocaeli

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2023, vol. 37, issue 15, No 1, 5829-5848

Abstract: Abstract In a multi-reservoir system, the stochastic nature of basin data resulting from rainfall introduces risk into water management operations. Effective management that accounts for these risks can obtain maximum benefits from the system. This study presents a description of a multi-reservoir water resources system with hydroelectric power plants, utilizing the energy optimization model developed by OPAN in 2007. The model was applied to reservoirs located successively on the Lower Kızılırmak River in the Kızılırmak Basin, with the objective function being the maximization of firm power by using drought period inflows and total energy by using monthly average inflows. The study considered three scenarios: deterministic, probabilistic, and risky (critical cases), with probabilities of inflows from the basin being determined for the latter. Monthly inflows with determined probabilities were used to obtain data for the risky case. Optimum operating levels were determined based on this data to maximize firm power and total energy. According to the operating levels, the reservoir with the largest useful volume manages the operation. The values obtained from the optimization were then used in multivariate regression analysis using the Statistical Package for Social Scientists (SPSS), a statistical analysis program. The analysis explored the effects of monthly operating levels in the reservoirs, the amount of inflow released from the spillway, the amount of inflow released for energy production, the monthly average inflow to the reservoirs, and firm power values on energy production.

Keywords: Multi-Reservoir Systems; Energy Production; Critical Cases; Dynamic Programming; SPSS; Multivariate Regression Analysis (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11269-023-03633-7

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