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    A comparison between two evolutionary optimization algorithms in the performance of the pressure maintenance process in a multi layer reservoir model

    , Article Petroleum Science and Technology ; Volume 31, Issue 1 , 2013 , Pages 51-61 ; 10916466 (ISSN) Rahmati, E ; Aminshahidy, B ; Pishvaie, M. R ; Sharif University of Technology
    2013
    Abstract
    In this work, the goal is to find the optimum working point for intelligent wells that is equipped with down-hole chokes and producing from a multi-layer reservoir under pressure maintenance process. Two evolutionary optimization algorithms are used and results are compared from different points of view. Therefore, the differential evolution technique and genetic algorithm has been used in conjugation with a reservoir simulator. The overall optimization technique is applied to heterogeneous example problems involving smart and multi segment wells. Improvement of predicted performance, which is as high as 7% in one case is demonstrated for all of the examples studied  

    Dynamic Planning of Transmission Expansion

    , M.Sc. Thesis Sharif University of Technology Naseri, Alireza (Author) ; Hosseini, Hamid (Supervisor)
    Abstract
    Goal of this project is to present a method for dynamic transmission planning in restructured environment by system regulator. Congestion, fair competition in power market, stakeholders’ desires in transmission expansion, transmission investment traits, creating incentive for investment and transcos revenue are considered in this work. Presentation of methodology for reliability evaluation is necessary because of increasing uncertainties due to restructuring. Remedial action method is suggested for uncertainties analysis and reliability index presented for measuring degree of reliability. The method has been applied to the IEEE 14-bus system. ... 

    Passenger Aircrafts Wing Sections Optimization Using Shock Control Bump

    , M.Sc. Thesis Sharif University of Technology Chaharlang Kiani, Kiarash (Author) ; Mazaheri, Karim (Supervisor)
    Abstract
    The development of the boundary layer and shock boundary layer interaction essentialy determine the performance boundaries of transonic aircrafts. Employing shock and boundary layer control has therefore a large potential for improving flight performance. Aerodynamic surfaces of these aircrafts usually have very closed design points and critical points so small changes in angle of attack and free stream mach number cause entering drag divergence. Adaptive wings are the aerodynamic surfaces that use additional devices to control the flow pattern for improvment of aerodynamic performance in different flight conditions. Shock Control Bump is a control mechanism that is used for shock wave... 

    Numerical Analysis and Optimization of A Vortex Tube with Differential Evolution Algorithm

    , M.Sc. Thesis Sharif University of Technology Khazaali, Sadegh Khazaali (Author) ; Mazaheri, Karim (Supervisor)
    Abstract
    The vortex tube is a simple device that injects compressed gas (air) tangentially into the vortex chamber through one or more injection nozzles. After entering, the flow becomes rotational and an axial cold flow goes towards the cold outlet and a peripheral hot flow goes towards the hot outlet. Besides all the different applications of the vortex tube, the main application of this device is cooling. Here, the goal is to optimize the geometry and physical conditions to improve the performance, which is done by using a commercial software and numerical analysis of a vortex tube to understand the flow physics and optimization. In this research, we use experimental and numerical data for... 

    Real time optimization of a natural gas lift system with a differential evaluation method

    , Article Energy Sources, Part A: Recovery, Utilization and Environmental Effects ; Vol. 36, issue. 3 , 2014 , pp. 309-322 ; ISSN: 15567036 Frooqnia, A ; Pishvaie, M. R ; Aminshahidy, B ; Sharif University of Technology
    Abstract
    This article presents a method for optimizing and controlling an oil production system using a natural gas lift concept. Ever increasing development of Smart Well technology and various applications of down-hole monitoring and controlling instruments along with new methods of data acquisition/transmission make it possible for the natural gas lift system to be controlled and optimized more effectively and faster than before. With this technology it is possible to monitor the down-hole conditions of gas and oil zones and to control the inflow valves in gas and oil zones. In this work, a proportional integral differential feedback controller has been used to smartly control the entrance of gas... 

    Turbine blade cooling passages optimization using reduced conjugate heat transfer methodology

    , Article Applied Thermal Engineering ; Volume 103 , 2016 , Pages 1228-1236 ; 13594311 (ISSN) Mazaheri, K ; Zeinalpour, M ; Bokaei, H. R ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    Here we have optimized shape and location of cooling passages of a C3X turbine blade using a multi-objective strategy. The objective functions is selected to be the maximum temperature gradient and the maximum temperature through the three dimensional blade. Shape of cooling channels is modeled using a new method based on the Bezier curves and using forty design variables. The optimized channel shapes are found to be smooth and without corners. To reduce the computational time, parallel processing and the reduced conjugate heat transfer methodology RCHT is used. Using RCHT, the heat transfer between channels and blade are coupled, while the experimental data is used for heat transfer... 

    Petroleum Production Design for Intelligent Wells to Produce From Several Oil Layers Using Single Tubing

    , M.Sc. Thesis Sharif University of Technology Rahmati, Ehsan (Author) ; Pishvaie, Mahmoud Reza (Supervisor) ; Aminshahidy, Babak (Supervisor)
    Abstract
    The development of an oil field plays an important role in the optimum production. In the past, several wells have been used in a multi layer reservoir to produce oil from each layer. It costs oil industry billions of dollars and the problem would be more severe in the offshore. Nowadays, one well can produce oil from different pay zones in a reservoir. In this type of well called smart or intelligent well, production tubing is in common between pay zones and some chokes are installed on the tubing to produce oil from different layers. The size of choke usually varies and can be controlled by an electrical system installed in the well. As each pay interval has different capacity in terms of... 

    Optimization of the Multi-Stage Compressor Design by Developing a Software for 2D Axial-Flow Compressor Analysis

    , M.Sc. Thesis Sharif University of Technology Khodabakhshi, Alireza (Author) ; Mazaheri, Karim (Supervisor)
    Abstract
    Streamline Curvature method is one of the most commonly used methods by industry for prediction of axial flow compressors. This method analyze axial compressor by solving radial equations in the meridional plane to locate streamlines and also by using empirical models to predict total pressure loss. Despite growth of CFD models, Streamline Curvature method has been considered as most practical method for compressor preliminary design and performance assessment because of it’s high speed and good precision. In the current work a C++ code (SLC) has been developed using streamline curvature for axial flow compressor performance analysis. This code receives compressor geometry, properties of... 

    Multi-objective Optimization of Internal Cooling Passages for a Turbine Blade

    , M.Sc. Thesis Sharif University of Technology Bokaei, Hamid Reza (Author) ; Mazaheri, Karim (Supervisor)
    Abstract
    In the present work, the shape and position of internal cooling passages within an axial turbine blade have been optimized to achieve a uniform temperature distribution with the minimum cooling air flow while the maximum temperature is below the allowable value. Four cooling passages are made within the blade. The cross section shape of each passage is parameterized using a new method based on an 8-order Bezier curve. This curve which is represented in terms of Bezier control points has much flexibility and can produce a large variety of shapes. The shape of the blade surface profile remains unchanged during the optimization process. The numerical simulation has been carried out using... 

    Optimization of Aerodynamic Performance of a Transonic Axial Compressor Rotor Blade Using Shock Control Bump

    , M.Sc. Thesis Sharif University of Technology Fouladi, Mojtaba (Author) ; Mazaheri, Karim (Supervisor)
    Abstract
    Nowadays, the axial transonic compressors are used widely in aircraft engines, oil and gas industry and etc. because of higher pressure ratio and more efficiency than the other compressors. The Major part of losses in transonic compressors is due to shock waves. In this study the idea of using Shock Control Bump as a passive flow control method has been used for weakening the shock waves. The Shock Control Bump is modeled with the Hicks-Henne function and added to the suction side of a section of the NASA rotor 67 blade. Validation of flow solver is done in both two and three dimensions. Single-point and multi-point optimizations are performed in the design condition and in two off-design... 

    Supplier Selection Under Dynamic Conditions

    , M.Sc. Thesis Sharif University of Technology Pourmadadkar, Omid (Author) ; Akbari Jokar, Mohammad Reza (Supervisor)
    Abstract
    As a result of globalization and emergence of extended enterprises of interdependent organizations, lots of improvements in IT area and variety and multiplicity of costumers' demand, the outsourcing of goods and services has been increased. This led companies to pay more attention to purchasing and its related decisions; which, one of them is deciding about supplier selection.
    In fact supplier selection problem is selecting and assessing the best or the most suitable suppliers for organization based on their various capabilities. This problem begins with defining potential suppliers and then selecting the best group among them, and finally allocating optimum order quantity to... 

    Numerical Simulation of DBD Plasma Actuator and Optimization with Differential Evolution Algorithm for Separation Control

    , M.Sc. Thesis Sharif University of Technology Jafari, Sajjad (Author) ; Mazaheri, Karim (Supervisor)
    Abstract
    In the current study, first, the presence history of dielectric barrier discharge (DBD) plasma actuator in flow control usages has been investigated. After recognizing the importance of plasma actuator in this branch of engineering, this active controller was modeled relying on computational fluid dynamics (CFD) knowledge to control flow separation. In order to model this actuator, physics based model called spilt-potential model and modifications done to improve it, were used. Using this model and solving two elliptic equations, electrical field and plasma charge density distribution are obtained in range of solution domain and body force from plasma actuator modeling in all computational... 

    Algorithms of Genome-Wide Association Studies

    , M.Sc. Thesis Sharif University of Technology Valishirin, Hossein (Author) ; Foroughmand Aarabi, Mohammad Hadi (Supervisor)
    Abstract
    The field of Genome-Wide Asocciation Studies (GWAS) plays a vital role in understanding the genetic basis of complex traits and diseases. In this thesis, the focus is on investigating the effectiveness of two approaches combining Differential Evolution (DE) with Random Forest (RF) and support vector machine (SVM) for feature selection in the context of GWAS. Arabidopsois Thaliana dataset is used as experimental dataset for comparative analysis. The main goal is to achieve more efficient feature selection while maintaining competitive accuracy compared to RF and SVM without using DE. This research includes conducting experiments using DE with RF and DE with SVM followed by a comprehensive... 

    Chemical kinetics Optimization for a DLE Combustor Optimization Using Numerical Method

    , Ph.D. Dissertation Sharif University of Technology Shakeri, Alireza (Author) ; Mazaheri, Karim (Supervisor)
    Abstract
    Control and reduction of gas turbines pollutants emissions are increasingly of major concern. Here we introduce and apply new algorithms for derivation of accurate and low cost skeletal chemical kinetics, optimization of global multi-step chemical kinetics, and optimization of geometry of Lean Premixed (LPM) dry low emission (DLE) combustors.A new reduction algorithm called SA-GEIE, based on sensitivity analysis of reaction mechanisms respect to ignition delay, flame temperature and pollutants concentration (NO and CO), is introduced. This algorithm is implemented to GRI-3.0 to produce a low cost methane oxidation skeletal mechanism with 118 reactions and 39 specie. The accuracy is assessed... 

    Optimization of Well Placement and Number of Wells in one of Iranian oil reservoirs using Streamline Simulation

    , M.Sc. Thesis Sharif University of Technology Afshari, Saeed (Author) ; Pishvaie, Mahmoud Reza (Supervisor) ; Amin Shahidy, Babak (Supervisor)
    Abstract
    Determining the optimized number and best locations for new wells is a challenging problem due to the nonlinearly correlation and uncertainty associated with engineering, geological and economical variables affecting reservoir performance. The proposed location and configuration for new producers and injectors is usually nontrivial because of the complexity of the fluid flow in highly heterogeneous reservoirs. It depends on reservoir and fluid properties, well and surface equipment specifications and economic criteria. Various approaches have been proposed for this problem. Among those, direct optimization using the numerical simulator as the evaluation function is the most common... 

    Joint process and quality control of a continuously stirred tank reactor with non-Gaussian process noise

    , Article IET Control Theory and Applications ; Volume 6, Issue 5 , 2012 , Pages 651-661 ; 17518644 (ISSN) Afshar, P ; Nobakhti, A ; Wang, H ; Sharif University of Technology
    2012
    Abstract
    This study proposes a multi-objective control algorithm for simultaneous process and quality control in non-Gaussian stochastic batch processes. The objective is to control a non-Gaussian process so that each batch is delivered within a pre-specified time. During each batch, the process is controlled by a fixed-parameter PI controller. Between any two adjacent batches the controller parameters are updated by a differential evolution algorithm so that the integral squared of tracking error, entropy of tracking error, integral of absolute processing time error and entropy of processing time error are minimised. the proposed algorithm is applied to a batch continuously stirred tank reactor... 

    A modified differential evolution optimization algorithm with random localization for generation of best-guess properties in history matching

    , Article Energy Sources, Part A: Recovery, Utilization and Environmental Effects ; Volume 33, Issue 9 , Feb , 2011 , Pages 845-858 ; 15567036 (ISSN) Rahmati, H ; Nouri, A ; Pishvaie, M. R ; Bozorgmehri, R ; Sharif University of Technology
    2011
    Abstract
    Computer aided history matching techniques are increasingly playing a role in reservoir characterization. This article describes the implementation of a differential evolution optimization algorithm to carry out reservoir characterization by conditioning the reservoir simulation model to production data (history matching). We enhanced the differential evolution algorithm and developed the modified differential evolution optimization method with random localization. The proposed technique is simple-structured, robust, and computationally efficient. We also investigated the convergence characteristics of the algorithm in some synthetic oil reservoirs. In addition, the proposed method is... 

    Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models

    , Article Applied Optics ; Volume 60, Issue 30 , 2021 , Pages 9560-9569 ; 1559128X (ISSN) Pourdarbani, R ; Sabzi, S ; Rohban, M. H ; García Mateos, G ; Arribas, J. I ; Sharif University of Technology
    The Optical Society  2021
    Abstract
    The present study aims to estimate nitrogen (N) content in tomato (Solanum lycopersicum L.) plant leaves using optimal hyperspectral imaging data by means of computational intelligence [artificial neural networks and the differential evolution algorithm (ANN-DE), partial least squares regression (PLSR), and convolutional neural network (CNN) regression] to detect potential plant stress to nutrients at early stages. First, pots containing control and treated tomato plants were prepared; three treatments (categories or classes) consisted in the application of an overdose of 30%, 60%, and 90% nitrogen fertilizer, called N-30%, N-60%, N-90%, respectively. Tomato plant leaves were then randomly... 

    Optimal reactive power dispatch in electricity markets using a multiagent-based differential evolution algorithm

    , Article International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2007, Setubal, 12 April 2007 through 14 April 2007 ; 2007 , Pages 249-254 Abbasy, A ; Tabatabaii, I ; Hosseini, S. H ; Sharif University of Technology
    2007
    Abstract
    Reactive power dispatch in power systems is a complex combinatorial optimization problem involving nonlinear functions with multiple local minima and nonlinear constraints. In an open electricity market reactive power support is an ancillary service for real power transportation. From the viewpoint of ISO, this paper provides a dispatching reactive power model, based on optimal power flow, by which both the cost of procuring reactive power as auxiliary service and the losses of active power are minimized. In this paper the cost of reactive power support consists of two components: reactive power cost of generators and shunt capacitors. In addition an extremely powerful differential evolution...