Shiraz, Iran

The Islamic Azad University, Fars Science and Research Branch is one of the many campuses affiliated with the Islamic Azad University, and is located approximately 55 km Northwest of Shiraz, Fars, Iran and 20 km southwest of Marvdasht. The University has a student body of approximately 4500 including undergraduate and graduate students. OTF offers some 42 undergraduate and graduate degree programs. The university occupies about 1,200,000 square meters and is one of the largest universities in Iran.The university was founded in 2005 and despite its very young age has gained an excellent reputation in science and research compared to the other branches of the Islamic Azad University and mid-class universities in Iran.The first graduation ceremony of the OTF students was held in May, 2009. Wikipedia.

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Niknam T.,Shiraz University of Technology | Bornapour M.,Shiraz University of Technology | Gheisari A.,Islamic Azad University at Science and Research of Fars
Energy Conversion and Management | Year: 2013

Recently, due to technology improvements and governmental incentives for using the green energies, Fuel Cell Power Plants (FCPPs) seem to be a promising approach for electricity generation. FCPPs, as Distributed Generation (DG) units, can be considered as Combined sources of Heat, Power, and Hydrogen (CHPH). CHPH operation of FCPPs improves system efficiency because of produced hydrogen which can be stored for future use of FCPPs or can be sold for profit. Using 2m + 1 Point Estimate Method (2m + 1 PEM), a probabilistic load flow approach is employed to model the uncertainties in electrical and thermal load demands, pressure of input oxygen and hydrogen importing to FCPPs, and temperature of FCPPs. Minimizing the operation costs of electrical energy generated by distribution substation and FCPPs, minimizing the voltage deviation, and minimizing total emissions produced by distribution substations and FCPPs are selected as objective functions. This paper just considers the placement of CHPH FCPPs without assuming the devices investment cost. A powerful optimization technique, θ-Self Adaptive Gravitational Search Algorithm (θ-SAGSA), is proposed to achieve the optimal places for FCPPs and daily optimal active powers of distribution substation and FCPPs. For solving the proposed multi-objective problem, this paper utilizes the Pareto Optimality idea to obtain a set of solutions in the multi-objective problem instead of a sole solution. The proposed method effectiveness is validated on a 69-bus distribution system. © 2012 Elsevier Ltd. All rights reserved.

Reza Norouzi M.,Islamic Azad University | Ahmadi A.,Islamic Azad University at Science and Research of Fars | Esmaeel Nezhad A.,Islamic Azad University at Science and Research of Fars | Ghaedi A.,Islamic Azad University at Shiraz
Renewable and Sustainable Energy Reviews | Year: 2014

This paper proposes a method for short term security-constrained unit commitment (SCUC) for hydro and thermal generation units. The SCUC problem is modeled as a multi-objective problem to concurrently minimize the ISO's cost as well as minimizing the emissions caused by thermal units. The non-linearity of valve loading effects is linearized in the presented problem. In order to model the SCUC problem more realistically, this paper considers the dynamic ramp rate of thermal units instead of the fixed rate. Moreover, multi-performance curves pertaining to hydro units are developed and the proposed SCUC problem includes the prohibited operating zones (POZs). Besides, the model of SCUC is transformed into mixed integer linear programming (MILP) instead of using mixed integer non-linear programming (MINLP) which has the capability to be solved efficiently using optimization software even for real size power systems. Pareto optimal solutions are generated by employing lexicographic optimization as well as hybrid augmented-weighted ε-constraint technique. Furthermore, a Fuzzy decision maker is utilized in this paper to determine the most preferred solution among Pareto optimal solutions derived through solving the proposed multi-objective SCUC problem. Eventually, the proposed model is implemented on modified IEEE 118-bus system comprising 54 thermal units and 8 hydro units. The simulation results reveal that the solutions obtained from the proposed technique in comparison with other methods established recently are superior in terms of total cost and emission output. © 2013 Elsevier Ltd.

Adloo H.,Shiraz University | Roopaei M.,Islamic Azad University at Science and Research of Fars
Nonlinear Dynamics | Year: 2011

This review article studies some adaptive chaos synchronization methods that were already presented in the literature for a general class of chaotic systems. In this regard, the proposed adaptive controllers and parameter update laws in several papers are inspected, and it is shown that many works suffer from novelty and they can be categorized in a union set. © 2010 Springer Science+Business Media B.V.

Simab M.,Islamic Azad University at Science and Research of Fars | Haghifam M.R.,Tarbiat Modares University
International Journal of Electrical Power and Energy Systems | Year: 2012

In this paper, an algorithm is presented to obtain the parameters of reward and penalty schemes (RPSs) for each electric company using Data Envelopment Analysis (DEA). This algorithm is based on reliability indices and customers' value of interruptions. The companies' efficiency scores are calculated using a DEA methodology. The companies' efficiency scores are based on their performance in quality and the best performer is utilized as a benchmark for other companies. DEA efficiency score and historical quality level are used to set a quality target for each electric distribution company. In this algorithm more than one reliability index can be included in RPS and weighting value for each reliability index is calculated based on their impacts on the customers. The performance of the proposed algorithm is demonstrated in a case study to design RPS for Iranian electricity distribution companies. The results of the algorithm include DEA efficiency score, parameters of RPS and weighting value for each reliability index. © 2012 Elsevier Ltd. All rights reserved.

Sattarahmady N.,Shiraz University of Medical Sciences | Heli H.,Islamic Azad University at Science and Research of Fars | Moradi S.E.,Payame Noor University
Sensors and Actuators, B: Chemical | Year: 2013

A nanocomposite of cobalt hexacyanoferrate/reduced graphene oxide was synthesized by a facile precipitation route. The nanocomposite morphology was characterized by scanning electron microscopy. A nanocomposite-modified carbon paste electrode was then fabricated and its redox behavior was characterized. In the voltammograms of the modified electrode recorded in phosphate buffer solution, pH 7.4, two quasi-reversible redox transitions appeared related to the Co(II)/Co(III) and Fe(II)/Fe(III) transitions. The diffusion of the counter cation into the nanocomposite and the charge transfer kinetics across the electrode/electrolyte interface were studied. The modified electrode showed an efficient electrocatalytic activity toward the electrooxidation of captopril. In the presence of captopril, the anodic peak current of the Fe(II)/Fe(III) transition increased and the cathodic one decreased, while, the peak currents of the Co(II)/Co(III) transition remained almost constant. This indicates that captopril was oxidized on the modified electrode surface through a surface mediated electron transfer (an electrocatalytic reaction). The catalytic rate constant and the electron transfer coefficient for the electrooxidation process and the captopril diffusion coefficient were reported. A sensitive and time-saving amperometric method was developed for the analysis of captopril. Based on the developed method, captopril was determined with a detection limit of 0.331 μM. The proposed amperometric method was also applied to the analysis of captopril in tablets. © 2012 Elsevier B.V.

Izadbakhsh M.,Islamic Azad University at Sāveh | Gandomkar M.,Islamic Azad University at Sāveh | Rezvani A.,Islamic Azad University at Sāveh | Ahmadi A.,Islamic Azad University at Science and Research of Fars
Renewable Energy | Year: 2015

In recent years due to the decreasing fossil fuel reserves and the increasing social stress, complex power networks have no other choices except to seek for alternative energy sources to eliminate the environmental issues caused by the traditional power systems. Thus, the scheduling of energy sources in a complex Micro-Grid (MG) comprising Micro Turbine (MT), Photo Voltaic (PV), Fuel Cell (FC), battery units and Wind Turbine (WT) has been investigated in this paper. Furthermore, a multi-objective framework is presented to simultaneously handle the two objective functions including minimization of total operation cost and minimization of emission. In this regard, Normal Boundary intersection (NBI) technique is employed to solve the proposed multi-objective problem and generate the Pareto set. Besides, a fuzzy satisfying method is used for decision making process. Afterward, the results obtained from the presented method are compared to the ones derived from other methods. Finally, it is verified that the proposed solution method results in better solutions for operation cost, emission and the execution time. © 2014 Elsevier Ltd.

Estahbanati M.J.,Islamic Azad University at Science and Research of Fars
Journal of Experimental and Theoretical Artificial Intelligence | Year: 2014

This paper attempts to propose a fair solution in generation scheduling problem in the presence of inherent uncertainties in short-term power system operation. The proposed methodology incorporates probabilistic methodology in the uncertainties representation section, while harmony search algorithm is adopted as a fast and reliable soft computing algorithm to solve the proposed nonlinear, non-convex, large-scaled and combinatorial problem. As an indispensable step towards a more economical power system operation, the optimal generation scheduling strategy in the presence of mixed hydro-thermal generation mix, deemed to be the most techno-economically efficient scheme, comes to the play and is profoundly taken under concentration in this study. This paper devises a comprehensive hybrid optimisation approach by which all the crucial aspects of great influence in the generation scheduling process can be accounted for. Two-point estimation method is also adopted probabilistically approaching the involved uncertain criteria. In the light of the proposed methodology being implemented on an adopted test system, the anticipated efficiency of the proposed method is well verified. © 2014 Taylor & Francis.

Aref F.,Islamic Azad University at Science and Research of Fars
African Journal of Biotechnology | Year: 2012

Micronutrients such as boron (B), copper (Cu), iron (Fe), manganese (Mn) and zinc (Zn) play important physiological roles in humans and animals. Zn and B are the micronutrients most often deficient in maize, in Iran. A completely randomized factorial block design experiment was carried out at Fars province of Iran during the growing season in 2009 to evaluate the effects of Zn (0, 8, 16 and 24 kg ha -1 Zn added to the soil and Zn foliar spray at 0.5 weight percent of zinc sulfate) and B (0, 3 and 6 kg ha -1 B added to the soil and B foliar spray at 0.3 weight percent of boric acid) fertilizers on Fe, Mn and Cu concentrations in the maize leaf. The results indicate that the use of B and Zn, by spraying, increased leaf Fe content. The presence of a high amount of B in the soil, and also Zn foliar spray, assisted the increase of Fe concentration in the leaf. In fact, there were synergisms between Zn and Fe as well as B and Fe. Reduction in the leaf concentration of Mn by B application may be due to the dilution effect or the antagonistic relationship between B and Mn. The presence of a high amount of B in the soil and the spraying of B prevented the increase of the leaf Mn content, by Zn application. An antagonism was seen between Zn and Mn, in that a high amount of Zn in the soil resulted in the decrease of the leaf Mn content. © 2012 Academic Journals.

Barati R.,Islamic Azad University at Science and Research of Fars
Annals of Nuclear Energy | Year: 2014

This paper presents a new and innovative optimization technique utilizing combination of cellular automata (CA) and quasi-simulated annealing (QSA) as solver concerning conceptual design optimization which is indeed a multi-objective optimization problem. Integrating CA and QSA into a unified optimizer tool has a great potential for solving multi-objective optimization problems. Simulating neighborhood effects while taking local information into account from CA and accepting transitions based on decreasing of objective function and Boltzmann distribution from QSA as transition rule make this tool effective in multi-objective optimization. Optimization of fuel plate safety design while taking into account major goals of conceptual design such as improving reliability and life-time - which are the most significant elements during shutdown - is a major multi-objective optimization problem. Due to hugeness of search space in fuel plate optimization problem, finding optimum solution in classical methods requires a huge amount of calculation and CPU time. The CA models, utilizing local information, require considerably less computation. In this study, minimizing both mass and deformation of fuel plate of a multipurpose research reactor (MPRR) are considered as objective functions. Results, speed, and qualification of proposed method are comparable with those of genetic algorithm and neural network methods applied to this problem before. © 2014 Elsevier Ltd. All rights reserved.

Shaghaghian M.,Islamic Azad University at Science and Research of Fars
Monthly Notices of the Royal Astronomical Society | Year: 2011

The dynamics of an axisymmetric stationary disc of accreting magnetofluid with finite conductivity around a rotating compact object is presented here. Along with the Maxwell equations and the generalized Ohm law, the basic equations governing the motion of a finitely conducting plasma in a curved space-time around a slowly rotating compact object are derived. The finite electrical conductivity is taken into account for the plasma; however, the shear viscous stress is neglected, as well as the self-gravity of the disc. In this case, energy dissipation occurs only through the finite resistivity. The magnetic stress takes the place of viscous stress in the standard disc model, and extracts angular momentum from the disc. The accreting plasma in the presence of an external dipole magnetic field gives rise to a current in the azimuthal direction. The azimuthal current produced as a result of the motion of the magnetofluid generates the magnetic field for the disc. Magnetic lines of force can penetrate the accretion disc because of the presence of finite resistivity. It has been shown that the dipolar magnetic field structure of the central black hole is modified inside the disc. In fact, the magnetic field lines are pushed outward and are continuous across the disc boundary. It has been demonstrated that the inward flow passing through a sub-Alfvénic region becomes super-Alfvénic to fall into the event horizon. © 2011 The Author Monthly Notices of the Royal Astronomical Society © 2011 RAS.

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