نشریه سد و نیروگاه برق آبی ایران
پیاپی 30 (پاییز 1400)

Concrete faced rockfill dams (CFRDs) are among the structures that due to their advantages such ease of construction and low execution costs,have attracted more attention nowadays.Due to the fact that during large earthquakes,the hydrodynamic pressure will be large and cannot be ignored,the main purpose of this research is to apply reservoir hydrodynamic pressure of dam reservoir caused by the earthquake and investigate its effects in three-dimensional analysis using ABAQUS software.The considered dams in this study have 70,100&130 meters height located in the valley with the length to height ratio of  (L/H=1)&(L/H=3). To investigate the effect of the earthquake,a maximum scaled acceleration of 0.6g was used in the carried out analysis.Linear elastoplastic Mohr-Coulomb material model for rockfill embankment, an elastic material model for rocky foundation,and the concrete damage plasticity model for the concrete face are adopted.In order to take into account,the effects of the reservoir hydrodynamic pressure,the reservoir water is represented by acoustic elements with the Lagrangian formulation.It is found that considering the hydrodynamic pressure, increases the settling values by 5to80%,plastic strain by 37%, surface compressive stress by 20to57% and maximum dam crest acceleration up to 2 times in some of the analyzed dams.

The Azad pumped storage power plant including the pumping and transformer cavern and surge tanks has been located in the Sanandaj-Sirjan formation with the alternation of slate and phyllite and meta sandstone.Due to the sensitivity and special use of these spaces, stability analysis and ensuring the safety of carven is very important.Nowadays, using the surface storage tanks is very costly; Therefore, the use of underground cavernsin large volumeseven in weak rock mass, is more economical than surface reservoirs. Totally, we can classify the main applicable caverns in five groups, including the hydropower plants and pumped storage, liquid storage, storage of nuclear waste disposal, waste water and sewage systems and alsomiscellaneous applications. The aim of studying Pumped Powerhouse - open-damstorage project isexploring the possibility of establishing Pumped - storage powerhouse systems inopen range of reservoir dam and assessing the potential of hydroelectric energy generation in this system

Near the most of real-world decision-making issues, especially in the water resource management area, are multi-objective issues that are taken based on different and conflicting goals. Due to the wide range of application of these issues, different models have been proposed to solve them, NSGA-II and MOPSO are the most important of these multi-objective optimization models. The purpose of this study is to compare the performance of NSGA-II and MOPSO algorithms in solving multi-objective optimal operation of a hydropower reservoir. Due to the fact that the hydropower reservoirs are involved in providing the peak load of the network electricity, a neural network to predict daily energy prices in peak hours was developed initially, then the results were used to optimize the multi-objective operation of Karun 5 Dam reservoir, includes two goals of maximizing annual income and maximizing minimum daily energy production. Although the run time of the NSGA-II method is about twice as high as the MOPSO, the precision of its results is 20% better for both purposes than MOPSO.

Run-of-river hydropower dams almost have a small reservoir and therefore, the spillway starts with the smallest flood in simultaneous with operation of power intakes. In the present study, by forming 16 vortex in different classes using Flow-3D software, the effect of simultaneous operation of spillway and power intakes in Masjed Soleyman dam and power plant was investigated. VOF method and LES model were used for simulating free surface and turbulence, respectively. Regarding the cost of calculations and the amount of error, the network size of 5 mm was selected as the appropriate mesh size. In Class A vortices when the spillway flow is at its peak, the strength of formed vortices reduced about 23%, 36%, and 68% in different intake submerged depths. The results showed that by increasing the discharge of spillway, the formed vortices were weaker. Moreover, spillway flow in Class A formed vortices did not eliminate the vortex, But it caused to change the vortex class to B and C in some cases; However, in the formed vortex of Class B and C, with simultaneous operation of the spillway and power intakes, the vortex disappear completely and rotation was not observed on the surface of the reservoir.

Accepetance of the fact that the working context of civil projects is challenging can enhance the resiliency capacity and will increase the project management concentration for improving and developing the software and hardware capabilities to facilitate project success achievement. This article is documented based on a research results in macro-hydropower plants projects management context to represent a new project management approach named as “Resilient Project Management”. Thematic analysis is the chosen research methodology in this study. Different qualitative and quantitative techniques are used in the study. Systematic literature reviewe, opened interviews and closed questionaries are the tools to gather datas inorder to demonostrate the framework. Results showed that there are six main demensions and related requirements to implements resilient project management approach in project management context. Management and leadership style, Organizational structure and human Resources, Working processes and resources, Performance index management and control, Maintenance management and readiness efforts and Chrises control and management are the dimensions of resilient project management approach.

One of the basic measures in managing the stability of earth dams is to accurately estimate the amount of pore water pressure in the body of the dam during and after its construction. In this study, three different models of artificial neural network (ANN), adaptive neural-fuzzy inference system (ANFIS) and gene expression programming (GEP) to estimate the pore water pressure in the body of Kabudwal earthen dams at the time of construction have been studied and compared. Five features including fill level, construction time, reservoir level, impounding rate and fill speed have been used during the 4-year statistical period as input of models in 4 piezometers installed in the dam body. The first three features were the most effective inputs according to the cross-correlation function. In this study, the results obtained from artificial neural network (ANN) in two piezometers according to statistical indicators, provided more accurate answers than gene expression programming (GEP) and ANFIS, but in the other two piezometers it was the opposite. Also, ANFIS and GEP models provided more accurate answers in piezometers that had higher data scatter than ANN model. Finally, based on the GEP model, mathematical relationships between input features and output variables were extracted.

The energy crisis in recent years has led politicians and major countries around the world to take energy issues differently from the past and replace fossil fuels with renewable energies, including hydroelectricity, to reduce and save energy, controlling supply and demand energy and reduction of pollutant emissions has been widely welcomed. Accordingly, the present study investigates the impact of hydroelectricity renewable energy and also examines the impact of thermal powerhouse production on electricity price in Iran as a separate model during the period of 1982-2020. In this regard, the short-term and long-term equilibrium relationship are investigated between electricity generation in hydroelectricity and thermal powerhouse and electricity price using Auto Regressive Distributed Lag (ARDL) model. Findings show that the impact of hydroelectricity technology in terms of reducing end-user tariffs, offers better benefits than thermal technology. Other results show that the increasing effect of interest rate, exchange rate and the price of fuel oil is realized gradually and in the long run as a direct input of powerhouse on electricity price.