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2013
7
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Numerical Study on Thermal Performance of Solar Parabolic Trough Collector
Numerical Study on Thermal Performance of Solar Parabolic Trough Collector
en
en
In this paper,the performance of parabolic solar collector with three segmental rings has been investigated numerically. The effect of three segmental rings size on the thermal efficiency of receiver tube has been studied. The working fluid is syltherm 800 and the analysis is carried out based on renormalization-group (RNG) \(k-\varepsilon\) turbulent mode. This numerical simulation is implemented for a constant distance between three segmental rings, the results show that use of three segmental rings in tubular solar receiver enhances the Nusselt number and system performance. By decreasing the inner diameter of three segmental rings, the Nusselt number increases, but with considering the pressure loss, thermal performance decreases.
1
12
Seyed Ebrahim
Ghasemi
Ali Akbar
Ranjbar
Abbas
Ramiar
Solar Energy
Numerical Study
Parabolic Trough Collector
Thermal Performance
Three Segmental Rings.
Article.1.pdf
[
[1]
B. Safari, J. Gasore, Estimation of global solar radiation in Rwanda using empirical models, Asian J. Scientific Res., 2 (2009), 68-75
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K. V. Sreejaya, Hussain H. Al-Kayiem, Syed Ihtsham. Ul-Haq Gilani, Analytical analysis of roof top solar chimney for power generation, J. Applied Sci. , 11 (2011), 1741-1748
##[3]
H. Y. Andoh, P. Gbaha, P. M. E. Koffi, S. Toure, G. Ado, Experimental study on the comparative thermal performance of a solar collector using coconut coir over the glass-wool thermal insulation for water heating system, J. Applied Sci. , 7 (2007), 3187-3197
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E. L. Efurumibe, A. D. Asiegbu, M. U. Onuu, Experimental study on the comparative thermal performance of a solar collector using coconut coir over the glass-wool thermal insulation for water heating system, J.Applied Sci. , 7 (2012), 3187-3197
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A. B. Chattopadhyay, A. Choudhury, A. Nargund, State variable model of a solar power system, Trends Applied Sci.Res. , 6 (2011), 563-579
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SA. Kalogirou, Solar thermal collectors and applications, Prog Energy Combust Sci, 30 (2004), 231-95
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E. W. Grald, Performance Analysis of a Parabolic Trough Solar Collector with a Porous Absorber Receiver, Solar Energy, 42 (1989), 281-292
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G. Patil, KS. Reddy, Thermal analysis of energy efficient receiver for solar parabolic trough collector system, In: Global conference on renewable energy approaches for desert regions, Jordan, (2006), 361-9
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MA. Al-Nimr, MK. Alkam, A modified tubeless solar collector partially filled with porous substrate, Renew Energy, 13(2) (1998), 165-73
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KS. Reddy, K. Ravi Kumar, GV. Satyanarayana, Numerical investigation of energy efficient receiver for solar parabolic trough concentrator, J Heat Transfer Eng, 29(11) (2008), 961-72
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G. Biswas, V. Eswaran, Turbulent flows fundamentals experiments and modeling, Narosa publishing house, New Delhi (2002)
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]
Estimating Uncertain Parameters of a Two Compartment Model of Cancer via Homotopy Optimization Method
Estimating Uncertain Parameters of a Two Compartment Model of Cancer via Homotopy Optimization Method
en
en
One of the restrictions for uncertain biological systems is that there are uncertain parameters which are not measurable with non-invasive instrument. A problem of interest is that proposing a method which estimates this parameter from measurable outputs of system. By declining homotopy parameter the initial problem which has the form of a high gain observer gradually transforms to a parameter estimation problem. With the gradual transform to the main problem provide the ability of finding the global value of uncertain parameter. This approach is applied for the model of cancer to illustrate the effectiveness of the homotopy method to achieve the best estimate for uncertain parameters by finding the minimum of a proposed optimization problem.
13
22
Navid
Khajehpour
Department of Electrical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Reihaneh
K. Moghadam
Department of Electrical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Arash Pourhashemi
Shahri
Department of Biomedical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Homotopy optimization method
Cancer system
Parameter estimation
Global minimization
Article.2.pdf
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P. Dua, V. Dua, N. Pistikopoulos, Optimal delivery of chemotherapeutic agents in cancer, Computer and Chemical Engineering, 32 (2006), 99-107
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]
Simulation and Optimization of Affective Causes on Quality of Electronic Services
Simulation and Optimization of Affective Causes on Quality of Electronic Services
en
en
By expanding bank services and increment in access requests for information resources, web servers perform weak about response time. So it is necessary to use simulation and mathematical models in order to analyzing complicated systems, optimizing and managing web server systems.
In this paper, services which are offered through internet are introduced and analyzed as a queue. Web servers are one of the main and effective parts in quality of internet services. Therefore, the operation of web servers is analyzed and optimized by concept of queue and simulation. One of the significant points in this paper is analyzing a problem taken from real world in internet field and also performing a new analysis from user’s requests in web servers. The main purpose in this paper is to persuade users and answering theme as soon as possible. In this paper, after introducing the problem’s structure, simulation and queue concept are used for analyzing, optimizing and managing web servers. Finally, a summery from results of simulation’s calculation is declared.
23
32
Mohammadali Pirayesh
Neghab
Shahrzad Mohsenian
Heravi
Mohsen
Kahani
Simulation
Optimization
Queuing theory
Quality of service
Web server
Response time.
Article.3.pdf
[
[1]
Sh. Zahedi, J. Bibiyaz, Analyzing the Quality of Electronic Services in Raja Passenger Trains Company, Information Technology Management journal, 1 (2009), 65-82
##[2]
M. A. Pirayesh Neghab, Sh. Mohsenian Heravi, Analyzing Internet-based Services Using Queuing Theory and Simulation Concepts, International Conference on Operation Research, Spring , Tabriz (2012)
##[3]
Hartly Kerin, Berkowitz and Rudelius, Marketing, USA: McGraw-Hill Irwin, (2006), 25-55
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Y. M. Teo, R. Ayani, Comparison of load balancing strategies on cluster-based web servers, The International Journal of the Society for Modeling and Simulation, vol. 77, no. 6 (2001), 185-195
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D. R. W. Holton, M. Younas, I. U. Awan, Priority scheduling of requests to web portals, The Journal of Systems and Software, 84 (2011), 1373-1378
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A. Wierman, Fairness and scheduling in single server queues, Operations Research and Management Science, 16 (2011), 39-48
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N. Ye, E. S. Gel, X. Li, T. Farley, Y. C. Lai, Web server QoS models: applying scheduling rules from production planning, Computers & Operations Research, 32 (2005), 1147-1164
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Z. Zhang, W. Fan , Web server load balancing: A queueing analysis, European Journal of Operational Research, 186 (2008), 681-693
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A. Choudhury, P. Medhi, A Simple Analysis Of Customers Impatience In Multiserver Queues, Journal Of Applied Quantitative Methods, vol. 5, no. 2 (2010), 182-197
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]
Simulation of Temperature Controller for an Injection Mould Machine Using Fuzzy Logic
Simulation of Temperature Controller for an Injection Mould Machine Using Fuzzy Logic
en
en
This research introduces a method for designing a linear fuzzy controller to control the temperature in an injection mould machine. First, a time-delay system is introduced as the temperature control system. The fuzzy controller system is composed of a heater transfer function controller and a decision maker. Both the controller and the decision maker are designed using fuzzy logic, and simulated in MATLAB. For facilitating the implementation of the fuzzy circuit, a linear equation is estimated from fuzzy equations using regression method, and its response is compared to that of the fuzzy controller. Finally, a PID controller is designed and its response is compared to the response of the fuzzy system.
33
42
Seyed Kamaleddin Mousavi
Mashhadi
Mehdi Zahiri
Savzevar
Jamal Ghobadi Dizaj
Yekan
Fuzzy-PID
Temperature Control
Fuzzy Controller
PID Controller.
Article.4.pdf
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[1]
Dr. I. Santi Prabha, K. Durga Rao, D. Siva Rama Krishna, Fuzzy Logic Based Intelligent Controller Design for an Injection Mould Machine Process Control , Department of ECE, EOW&G Director of University, 10 (2011), 098-103
##[2]
H. Zhourll, Simulation on Temperature Fuzzy Control in Injection Mould Machine by Simulink, IMechanical School in South China U. of Technology, Guangzhou 510641 (2008)
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M. D. Hanamane, Implementation of fuzzy temperature control using microprocessor, journal of scientific. Journal of scientific & industrial research, February, 65 (2006), 142-147
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]
Using Linearization and Penalty Approach to Solve Optimal Shape Design Problem with an Obstacle
Using Linearization and Penalty Approach to Solve Optimal Shape Design Problem with an Obstacle
en
en
To obtain the best domain of an elliptic boundary control problems, with and without abstacle, two approches are presented. The based measure method, apply a linearization technique and find the optimal domain and trajectory via a solution of finite linear method by using an optimization search technique. In the second one, by introducing the penalty function and then emplaying the finite element method the optimal domain for the same problem determind. The comparison between two methods is done via presenting some numerical simulations.
43
53
Alireza Fakharzadeh
Jahromi
Hajar
Alimorad
Zahra
Rafiei
Shape optimization
Measure
Penalty approach
Finite element method
obstacle.
Article.5.pdf
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A. Fakharzadeh, J. E. Rubio, Global Solution of Optimal Shape Design Problems, Journal of Analysis and its Application, 18 (1999), 143-155
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]
A Combined Algorithm for Solving Reliability-based Robust Design Optimization Problems
A Combined Algorithm for Solving Reliability-based Robust Design Optimization Problems
en
en
In the most of the design optimization problems, we encounter uncertainties in design variables and problem parameters. In these problems, robustness and reliability of design are so important. Both robust design and reliability-based design approaches take into consideration these aspects. However, the individual application of them doesn’t ensure the stability of product during its life cycle. In this paper, we combine both robust design and reliability-based design approaches into one model and propose a genetic and reliability analysis combined algorithm to solve this kind of problem. Moreover, to increase the efficiency of the genetic algorithm, we use the design of experiment (DOE) to find the optimal levels of the parameters of this algorithm. The application of the proposed methodology is demonstrated using a numerical example.
54
62
Ameneh Forouzandeh
Shahraki
Rassoul
Noorossana
Reliability
robustness
multi-objective optimization
genetic algorithm
design of experiment
Article.6.pdf
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[1]
Z. P. Mourelatos, J. Liang, A Methodology for Trading-off Performance and Robustness under Uncertainty, Proceeding of ASME Design Engineering Technical Conference, 856-863 (2005)
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O. P. Yadav, S. S. Bhamare, A. Rathore, Reliability-based Robust Design Optimization: A Multi-objective Framework Using Hybrid Quality Loss Function, Journal of Quality and Reliability Engineering International , 26 (2010), 27-41
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H. D. Sherali, V. Ganesan, An Inverse Reliability-based Approach for Designing under Uncertainty with Application to Robust Piston Design, Journal of Global Optimization, 37 (2007), 47-62
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T. Goel, R. Vaidyanathan, R. T. Haftka, N. V. Queipo, W. Shyy, K. Tucker, Response surface approximation of Pareto optimal front in multi-objective optimization, Proceedings of the 10th AIAA/ ISSMO Multidisciplinary Analysis and Optimization Conference, (2004)
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]
A Nonlinear Dynamic Logistics Model for Disaster Response under Uncertainty
A Nonlinear Dynamic Logistics Model for Disaster Response under Uncertainty
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en
To save lives and alleviate suffering, the response to emergency must be timely, effective, appropriate, and well organized. Logistics can play a key role. This paper presents a multi-objective dynamic stochastic model for a complex logistical problem in disaster relief operations. Prior to the disaster onset, design decisions including the number and location of local distribution centers needed as well as their inventory levels for each type of emergency supply are made. After the disaster onset, the designed network will use to conduct daily operational decisions over a planning horizon that covers the disaster duration. The first objective function attempts to minimize the sum of the expected value of the total cost of the relief chain; at the same time the model aims to maximize the affected areas’ satisfaction levels through minimizing the sum of the maximum shortages in the affected areas. A case study is presented to illustrate the potential applicability of our model for disaster planning for earthquake scenarios in the megacity of Tehran. The results demonstrate the practicability of the proposed multi-objective stochastic model.
63
72
M.
Khorsi
A.
Bozorgi-amiri
B.
Ashjari
Disaster relief logistics
stochastic programming
Multi-objective optimization.
Article.7.pdf
[
[1]
, , http://www.emdat.com. , ()
##[2]
A. Afshar, A. Haghani, Modeling integrated supply chain logistics in real-time large-scale disaster relief operations, Socio-Economic Planning Sciences, Article in press, 46 (2012), 1-12
##[3]
Y. H. Lin, R. Batta, P. Rogerson, A. Blatt, M. Flanigan, A logistics model for emergency supply of critical items in the aftermath of a disaster, Socio-Economic Planning Sciences, Vol. 45, No. 4 (2011), 132-145
##[4]
G. H. Tzeng, HJ. Cheng, TD. Huang, Multi-objective optimal planning for designing relief delivery systems, Transportation Research Part E, Vol.43, No. 6 (2007), 673-686
##[5]
B. Balcik, B. M. Beamon, Facility location in humanitarian relief, Journal of Logistics: Research and Applications, Vol. 11, No. 2 (2008), 101-121
##[6]
G. Barbarosoglu, Y. Arda, A two-stage stochastic programming framework for transportation planning in disaster response, Journal of the Operational Research Society, 55 (2004), 43-53
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A. Bozorgi-Amiri, S. Jabalameli, S. M. J. Mirzapour, A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty, OR Spectrum, 35 (2012), 905-933
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M. S. Chang, Y. L. Tseng, J. W .Chen, A scenario planning approach for the flood emergency logistics preparation problem under uncertainty, Transportation Research Part E, Vol. 43, No. 6 (2007), 737-754
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H. Jia, F. Ordonez, M. Dessouky, A modeling framework for facility location of medical services for large-scale emergencies, IIE Transactions, Vol. 39, No. 1 (2007), 41-55
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J. Salmeron, A. Apte, Stochastic optimization for natural disaster asset prepositioning, Production and Operations Management, Vol. 19, No. 5 (2010), 561-574
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O. N. Mete, Z. Zabinsky, Stochastic optimization of medical supply distribution, International Journal of Production Economics, 126 (2010), 76-84
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C. G. Rawls, M. A. Turnsquist, Pre-positioning of emergency supplies for disaster response, Transportation Research Part B, Vol. 44, No. 4 (2010), 521-534
##[13]
G. Mavrotas, Effective implementation of the ε-constraint method in Multi-Objective Mathematical Programming problems, Application Math Computer, Vol. 213, No. 2 (2009), 455-465
##[14]
M. Ashtari, D. Hatzfeld, N. Kamalian, Microseismicity in the region of Tehran, Tectonophysics, Vol. 395, No. 3 (2005), 193-208
]
Improving the Health Care Systems Performance by Simulation Optimization
Improving the Health Care Systems Performance by Simulation Optimization
en
en
Studying and improving health care services levels are considered as an essential issue in urban management systems and also crisis management. In such areas, detecting effective factors, managing the relationships, control of costs, defining and planning for health care services resources are significance. In current paper, by analyzing the patients’ behavior in one hospital unit, development and optimization of the mentioned unit’s performance and defining the optimum resources have been studied. In order to modeling of the study, simulation software ExtendSim has been used. By implementing the outcome of the study and optimization of the hospital resources, waiting time for the patients could be reduced significantly, and also the related costs can be controlled properly.
73
79
Hamid Reza
Feili
Simulation
Optimization
Simulation Optimization
Emergency Simulation
Health Care Systems.
Article.8.pdf
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[1]
SH. Jacobson, SN. Hall, JR. Swisher, Discrete-event simulation of health care systems, In: Hall RW, ed. Patient Flow: Reducing Delay in Healthcare Delivery. New York, NY: Springer, (2006), 211-52
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