A simulation model for the operation of multipurpose multireservoir system for River Narmada, India

Joshi, Geeta S.; Gupta, Kapil

doi:10.1016/j.jher.2009.07.002

Cited by 14 publications

(9 citation statements)

References 9 publications

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“…Some related studies are quoted here. Joshi and Gupta (2009) reported decrease of volume reliability Index and time reliability index for supplying water for industrial, domestic and irrigation purposes with increasing minimum flow releases for Narmada River Reservoir System in India. Awadallah and Awadallah (2014) suggested a release policy which allows a reduction of half of the total pumping costs with only 3 % reduction in the water allocation reliability, as measured by the failure frequency of demand satisfaction and the average shortage index for a system of three dams, two pumping stations and two diversion structures located in the Upper-Chéliff (Algeria) in Northwest Africa.…”

Section: Resultsmentioning

confidence: 99%

“…The performance of the DVC system was evaluated with the help of 'Performance Indices' for four seasons separately namely, season 1 (1st June to 30th September), season 2 (full month of October), season 3 (1st November to 31st December), season 4 (1st January to 31st May) to take into account variability of inflow, demand and guide curve operation during the four seasons. These indices have proven useful for assessment of performance of reservoir system as well as for comparative analysis of general reservoir system operational policies (Milutin and Bogardi 1995;Joshi and Gupta 2009; Roy and Banerjee 2010). These are:…”

Section: Performance Indicesmentioning

confidence: 99%

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Performance of a system of reservoirs on futuristic front

2016

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Application of simulation model HEC-5 to analyze the performance of the DVC Reservoir System (a multipurpose system with a network of five reservoirs and one barrage) on the river Damodar in Eastern India in meeting projected future demand as well as controlling flood for synthetically generated future scenario is addressed here with a view to develop an appropriate strategy for its operation. Thomas-Fiering model (based on Markov autoregressive model) has been adopted for generation of synthetic scenario (monthly streamflow series) and subsequently downscaling of modeled monthly streamflow to daily values was carried out. The performance of the system (analysed on seasonal basis) in terms of 'Performance Indices' (viz., both quantity based reliability and time based reliability, mean daily deficit, average failure period, resilience and maximum vulnerability indices) for the projected scenario with enhanced demand turned out to be poor compared to that for historical scenario. However, judicious adoption of resource enhancement (marginal reallocation of reservoir storage capacity) and demand management strategy (curtailment of projected high water requirements and trading off between demands) was found to be a viable option for improvement of the performance of the reservoir system appreciably [improvement being (1-51 %), (2-35 %), (16-96 %), (25-50 %), (8-36 %) and (12-30 %) for the indices viz., quantity based reliability, time based reliability, mean daily deficit, average failure period, resilience and maximum vulnerability, respectively] compared to that with normal storage and projected demand. Again, 100 % reliability for flood control for current as well as future synthetically generated scenarios was noted. The results from the study would assist concerned authority in successful operation of reservoirs in the context of growing demand and dwindling resource.

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Section: Resultsmentioning

confidence: 99%

Section: Performance Indicesmentioning

confidence: 99%

Performance of a system of reservoirs on futuristic front

2016

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“…The results showed how dimensionality issues given by the large number of basins and realistic modelling of the stochastic inflows can be mitigated by employing neural approximations for the value functions, and efficient discretizations of the state space. Joshi and Gupta (2009) used a simulation model for the operation of the multipurpose multi-reservoir systems of the Narmada River Reservoir system in India. The model has been formulated for monthly operation of reservoir to meet industrial, domestic, irrigation and hydropower generation water requirements.…”

Section: Mathematical Modelsmentioning

confidence: 99%

Model-Based Optimization of Downstream Impact during Filling of a New Reservoir: Case Study of Mandaya/Roseires Reservoirs on the Blue Nile River

Hassaballah¹,

Jonoski

Popescu

et al. 2011

Water Resour Manage

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The aim of this paper is to develop a methodology based on coupled simulation-optimization approach for determining filling rules for the proposed Mandaya Reservoir in Ethiopia with minimum impact on hydropower generation downstream at Roseires Reservoir in Sudan, and ensuring power generation at Mandaya Reservoir in Ethiopia. The Multi-Objective Optimization (MOO) approach for reservoir optimization presented in this paper is a combination of simulation and optimization models, which can assist decision making in water resource planning and management (WRPM). The combined system of reservoirs is set in MIKE BASIN Simulation model, which is then used for simulation of a limited set of feasible filling rules of the Mandaya reservoir according to the current storage level, the inflow, and the time of the year. The same simulation model is then coupled with Multi-Objective optimization Non-dominated Sorting Genetic Algorithm (NSGA-II), which is adopted for determining optimial filling rules of the Mandaya Reservoir. The optimization puts focus on maximization of hydropower generation in both the Mandaya and the Roseires Reservoirs. The results demonstrate that optimal release-(and correspondingly filling-) rules for Mandaya Reservoir which maximize the hydropower generation in both Mandaya and Roseires reservoirs can be found. These rules are determined along the Pareto frontier obtained by the optimization algorithm, which can serve as a decision support tool for choosing the actual filling rule. The results also showed that the NSGA-II is an efficient and powerful tool that could assist decision makers for solving optimization problems in complex water resource systems.

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“…For each of the above objectives, the following performance indicators indices (Joshi and Gupta 2009) The VRI and TRI are introduced to measure the volume and time reliability of supply of water, while the HPI measures the hydropower energy.…”

Section: Formulation Of the Problemmentioning

confidence: 99%

“…The monthly mandatory flow releases policy of each reservoir is defined as the fraction of the range between upper and lower bound of the monthly mandatory flow release for each reservoir. The upper and lower bound of monthly mandatory flow releases for the reservoirs has been calculated from most downstream reservoir to the upstream reservoir one so as to meet the monthly flow requirement of the terminal reservoir of the system using the method described by Joshi and Gupta (2009). The monthly flow requirement of the terminal reservoir has been obtained by disaggregating the annual flow requirement, which is known before hand.…”

Section: Simulation Modulementioning

confidence: 99%

Performance Evaluation Model for Multipurpose Multireservoir System Operation

Joshi

Gupta

2010

Water Resour Manage

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This paper describes the development of a performance evaluation based model for the operation of multipurpose multireservoir in a river basin system. The methodology developed in the present study has been evolved for (1) allocation of releases for multi-purpose from each reservoir, (2) fair allocation of mandatory flow releases in the river, and (3) the assessment of the system capability for multipurpose operation. The System Performance Index (SYSPI) has been introduced as a measure of the overall performance of the system. SYSPI is defined as a function of the performance indicator indices which are developed to measure each of the objectives of the multireservoir system, namely, reliability of water supply, hydropower production, revenue income, and spill prevention. The SYSPI is maximized using a search algorithm which is linked to the simulation module. The application of the developed methodology is demonstrated for the reservoirs on the Narmada River System, India. The application of the methodology should enable increasing the hydropower generation within the existing framework.

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A simulation model for the operation of multipurpose multireservoir system for River Narmada, India

Cited by 14 publications

References 9 publications

Performance of a system of reservoirs on futuristic front

Performance of a system of reservoirs on futuristic front

Model-Based Optimization of Downstream Impact during Filling of a New Reservoir: Case Study of Mandaya/Roseires Reservoirs on the Blue Nile River

Performance Evaluation Model for Multipurpose Multireservoir System Operation

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