scholarly journals Long-term optimal hydropower reservoir operation with minimum flows and maximum ramping rates

2016 ◽  
Author(s):  
Ignacio Guisández González
2018 ◽  
Vol 39 (1) ◽  
pp. 141-146 ◽  
Author(s):  
Fatima Z. Tebbi ◽  
Hadda Dridi ◽  
Mahdi Kalla

AbstractLong term and mid-term reservoir operation involves derivation of rule curves for optimal management of the available resource. The present work deals with reservoir operation in the Aurès arid region. As an example, Babar reservoir is selected to apply the proposed approach which estimates all the water balance terms, especially those which are random as water inflows. For each demand scenario a reservoir operation optimization model using Explicit Stochastic Dynamic Programming (ESDP) is performed, to derive optimal rule curves based on historical operating records (Jan 2002–Dec 2013) and using “Reservoir” R package®. Subsequently, risk analysis is conducted for these different demand scenarios rules by the RRV (reliability, resilience, vulnerability) metrics. Results show the advantage of using the “Reservoir” R package for a rapid and an easy analysis of the performance criteria jointly with the optimization algorithm to Re-operate Reservoir operation.


2012 ◽  
Vol 26 (10) ◽  
pp. 2833-2850 ◽  
Author(s):  
J. Sreekanth ◽  
Bithin Datta ◽  
Pranab K. Mohapatra

2016 ◽  
Vol 30 (3) ◽  
pp. 1203-1216 ◽  
Author(s):  
Aida Tayebiyan ◽  
Thamer Ahmed Mohammed Ali ◽  
Abdul Halim Ghazali ◽  
M. A. Malek

2021 ◽  
Author(s):  
Bei Nie ◽  
Yuhong Zeng ◽  
Lanhua Niu ◽  
Xiaofeng Zhang

Abstract Nitrogen (N) is an essential nutrient limiting life, and its biochemical cycling and distribution in rivers have been markedly affected by river engineering construction and operation. Here, we comprehensively analyzed the spatiotemporal variations and driving environmental factors of N distributions based on the long-term observations (from 2004 to 2016) of seven stations in the Three Gorges Reservoir (TGR). In the study period, the overall water quality status of the river reach improved, whereas N pollution was severe and tended to be aggravated after the TGR impoundment. The anti-seasonal reservoir operation strongly affected the variations in N forms. The total nitrogen (TN) concentration in the mainstream of the Yangtze River continuously increased, although it was still lower than that in the incoming tributaries (Wu and Jialing rivers). Further analysis showed that this increase occurred probably because of external inputs, including the upstream (76%), non-point (22%), and point source pollution inputs (2%). Besides, different N forms showed significant seasonal variations; among them, the TN and nitrate nitrogen concentrations were the lowest in the impoundment season (October–February), and the ammonia nitrogen concentrations were the highest in the sluicing season (March–May). These parameters varied likely because of internal N transformation. Redundancy analysis revealed that the water level regulated by the anti-seasonal operation was the largest contributor. Our findings could provide a basis for managing and predicting the water quality in the Yangtze River.


Data in Brief ◽  
2020 ◽  
Vol 29 ◽  
pp. 105048 ◽  
Author(s):  
Saeid Akbarifard ◽  
Mohammad Reza Sharifi ◽  
Kourosh Qaderi

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