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Articles 1 - 18 of 18
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Voltage Security Constrained Reactive Power Optimization Incorporating Wind Generation, L G. Meegahapola, E Vittal, A Keane, D Flynn
Voltage Security Constrained Reactive Power Optimization Incorporating Wind Generation, L G. Meegahapola, E Vittal, A Keane, D Flynn
Dr Lasantha G Meegahapola
This paper presents a comparative analysis between conventional optimal power flow (OPF) and voltage constrained OPF strategies with wind generation. The study has been performed using the New England 39 bus system with 12 doublyfed induction generator (DFIG) based wind farms installed across the network. A voltage security assessment is carried out to determine the critical wind farms for voltage stability enhancement. The power losses and individual wind farm reactive power generation have been compared with and without voltage stability constraints imposed on the OPF simulation. It is shown that voltage constrained OPF leads to much greater active power losses …
Simulation And Optimization Modeling For Drive-Through Mass Vaccination – A Generalized Approach, Aman Gupta, Gerald W. Evans, Sunderesh S. Heragu
Simulation And Optimization Modeling For Drive-Through Mass Vaccination – A Generalized Approach, Aman Gupta, Gerald W. Evans, Sunderesh S. Heragu
Aman Gupta
Proper planning and execution of mass vaccination at the onset of a pandemic outbreak is important for local health departments. Mass vaccination clinics are required to be setup and run for naturally occurring pandemic outbreaks or even in response to terrorist attacks, e.g., anthrax attack. Walk-in clinics have often been used to administer vaccines. When a large percentage of a population must be vaccinated to mitigate the ill-effects of an attack or pandemic, drive-through clinics appear to be more effective because a much higher throughput can be achieved when compared to walk-in clinics. There are other benefits as well. For …
10 Reasons Business Succeed, Ivan F. Rodriguez
10 Reasons Business Succeed, Ivan F. Rodriguez
Ivan F Rodriguez
The experience and skills of the top managers. Over half of business failures are directly related to managerial incompetence.
Optimizing The Sterilization Process Of Canned Food Using Temperature Distribution Studies, Ibrahim M. Ismail, Alaa Fahmy, Ahmed Azab, Magdy Abadir, Seif-Eddeen K. Fateen
Optimizing The Sterilization Process Of Canned Food Using Temperature Distribution Studies, Ibrahim M. Ismail, Alaa Fahmy, Ahmed Azab, Magdy Abadir, Seif-Eddeen K. Fateen
Seif-Eddeen K Fateen
The thermal processing of canned food is the most important step in the canning procedure. Retort operating procedures must ensure that uniform processing temperature is achieved and maintained throughout the locations of the canned containers during the process. In this study, temperature distribution tests have been used as a means of verifying the temperature uniformity around the containers. These studies were carried out in two Egyptian canning plants in horizontal water-immersion and water-spray retorts under fully loaded operating conditions. Time-temperature data gathered were used as a guidance tool in improving temperature distribution and in optimizing the process schedule.
Synthesis And Optimization Of Fluorine-Free Y And Cu Precursor Solution For Mod Processing Of Ybco Coated Conductor, Jaimoo Yoo, Young-Kuk Kim, Kookchae Chung, Jaewoong Ko, Xiaolin Wang, S X. Dou
Synthesis And Optimization Of Fluorine-Free Y And Cu Precursor Solution For Mod Processing Of Ybco Coated Conductor, Jaimoo Yoo, Young-Kuk Kim, Kookchae Chung, Jaewoong Ko, Xiaolin Wang, S X. Dou
Shi Xue Dou
MOD solutions for YBCO coated conductors were synthesized with fluorine-free Y & Cu precursor. The fluorine content in the precursor solution was significantly reduced and a fast calcination profile was realized. A crack-free & thick precursor film was successfully obtained just after less than 2 hours of calcination in wet O2 atmosphere. Optimization of the precursor solution with Sm addition enables further improvement of thickness and uniformity of precursor films. The calcinated precursor film was successfully converted to dense and uniform YBCO film after annealing in wet Ar/O2 atmosphere. The measured critical current value was about 273 A/cm-w (Jc ~ …
Optimization Of Welding Parameters For Repairing Nial Bronze Components, Huijun Li, Daniel Grudgings, Nathan P. Larkin, John Norrish, Mark Callaghan, Lenka Kuzmikova
Optimization Of Welding Parameters For Repairing Nial Bronze Components, Huijun Li, Daniel Grudgings, Nathan P. Larkin, John Norrish, Mark Callaghan, Lenka Kuzmikova
Nathan Larkin
The objective of this study is to determine an optimal welding procedure that can be implemented to repair damaged Nickel Aluminium Bronze (NAB) components. NAB is commonly used in marine applications where components are subject to a constant corrosive environment and high stresses. Research into ideal NAB microstructure for a marine application, was performed in order to gain a baseline for experimental analysis of potential welding procedures. The results indicated that the welding repair can be performed with a wide range of heat input. The effect of post-weld heat treatment (PWHT) on the microstructure and mechanical properties in the heat …
Scheduling With Uncertain Resources: Learning To Ask The Right Questions, Alexander Carpentier, Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell
Scheduling With Uncertain Resources: Learning To Ask The Right Questions, Alexander Carpentier, Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell
Jaime G. Carbonell
We consider the task of scheduling a conference based on incomplete information about resources and constraints, which requires elicitation of additional data, and describe a learning procedure that improves elicitation strategies. We outline the representation of incomplete knowledge, and then describe an adaptive elicitation procedure, which learns to identify critical missing data.
Scheduling With Uncertain Resources: Learning To Make Reasonable Assumptions, Steven Gardiner, Eugene Fink, Jaime G. Carbonell
Scheduling With Uncertain Resources: Learning To Make Reasonable Assumptions, Steven Gardiner, Eugene Fink, Jaime G. Carbonell
Jaime G. Carbonell
We consider the task of scheduling a conference based on incomplete information about resources and constraints, and describe a mechanism for the dynamic learning of related default assumptions, which enable the scheduling system to make reasonable guesses about missing data. We outline the representation of incomplete knowledge, describe the learning procedure, and demonstrate that the learned knowledge improves the scheduling results.
Scheduling With Uncertain Resources: Representation Of Common Knowledge, Eugene Fink, P. Matthew Jennings, Konstantin Salomatin, Jaime G. Carbonell
Scheduling With Uncertain Resources: Representation Of Common Knowledge, Eugene Fink, P. Matthew Jennings, Konstantin Salomatin, Jaime G. Carbonell
Jaime G. Carbonell
We describe a system for scheduling a conference based on incomplete information about available resources and scheduling constraints. We explain the representation of uncertain knowledge and related common-sense rules, which allow reasoning based on uncertain and partially missing data.
Multiobjective Plan Selection Optimization For Traffic Responsive Control, Montasir M. Abbas, Anuj Sharma
Multiobjective Plan Selection Optimization For Traffic Responsive Control, Montasir M. Abbas, Anuj Sharma
Anuj Sharma
Optimal coordination of traffic signals requires proper activation of timing plans to match current traffic conditions. One of the greatest challenges in configuring a traffic responsive plan selection control mode is how to select only n number of timing plans (restricted by traffic controller memory limitations) to address possibly all traffic conditions/states that can be encountered in the field, for a specific site, but most importantly, how to associate each of these traffic conditions to one of the n timing plans stored in the traffic controller. This paper uses a multiobjective non-dominated sorting genetic algorithm to (1) select the best …
A Generalized Dilworth's Theorem, With Application To Routing And Scheduling, John N. Hooker, N R. Natraj
A Generalized Dilworth's Theorem, With Application To Routing And Scheduling, John N. Hooker, N R. Natraj
John Hooker
Dilworth's theorem states a duality relation between minimum chain decompositions of a directed, acyclic graph and maximum antichains. We generalize the theorem to apply when the chains of the decomposition are required to contain the chains of an initial decomposition. We show that duality obtains precisely when an associated undirected graph is perfect. We apply this result to a vehicle routing and scheduling problem with time windows. Here each chain of the initial decomposition contains nodes that correspond to the pickup, delivery and possibly intermediate stops associated with a piece of cargo.
Inference Duality As A Basis For Sensitivity Analysis, John N. Hooker
Inference Duality As A Basis For Sensitivity Analysis, John N. Hooker
John Hooker
The constraint programming community has recently begun to address certain types of optimization problems. These problems tend to be discrete or to have discrete elements. Although sensitivity analysis is well developed for continuous problems, progress in this area for discrete problems has been limited. This paper proposes a general approach to sensitivity analysis that applies to both continuous and discrete problems. In the continuous case, particularly in linear programming, sensitivity analysis can be obtained by solving a dual problem. One way to broaden this result is to generalize the classical idea of a dual to that of an ldquoinference dual,rdquo …
Factory Crane Scheduling By Dynamic Programming, Ionuţ D. Aron, Latife Genç-Kaya, Iiro Harjunkoski, Samid Hoda, John N. Hooker
Factory Crane Scheduling By Dynamic Programming, Ionuţ D. Aron, Latife Genç-Kaya, Iiro Harjunkoski, Samid Hoda, John N. Hooker
John Hooker
We describe a specialized dynamic programming algorithm for factory crane scheduling. An innovative data structure controls the memory requirements of the state space and enables solution of problems of realistic size. The algorithm finds optimal spacetime trajectories for two factory cranes or hoists that move along a single overhead track. Each crane is assigned a sequence of pickups and deliveries at specified locations that must be performed within given time windows. The cranes must not interfere with each other, although one may yield to the other. The state space representation permits a wide variety of constraints and objective functions. It …
Sensitivity Analysis And Optimization For Selected Supply Chain Management Issues In The Company – Using System Dynamics And Vensim, Elżbieta Kasperska, Elwira Mateja-Losa, Rafał Marjasz
Sensitivity Analysis And Optimization For Selected Supply Chain Management Issues In The Company – Using System Dynamics And Vensim, Elżbieta Kasperska, Elwira Mateja-Losa, Rafał Marjasz
Journal of Entrepreneurship, Management and Innovation JEMI
The aim of our paper is to present the new results of research work on optimization and simulation for some logistic problems in the company. The System Dynamics (SD) method and the Vensim simulation language are applied in order to solve specific managerial problems described by Forrester in the model of supply chain. The historical model of Customer-Producer-Employment System by Forrester (Forrester, 1961) has not been examined with the sensitivity analysis, from the “automatic” testing perspective. Optimization experiments have not been conducted, either. It is surprising, since the model is old and widely known. The opportunities offered by the Vensim …
Design, Optimization And Control Of An Alternative Process Based On Extractive Distillation For The Sweetening Of Natural Gas, Carlos E. Torres-Ortega, Juan Gabriel Segovia-Hernandez, Fernado I. Gomez-Castro, Salvador Hernandez, Adrian Bonilla-Petriciolet, Ben-Guang Rong, Massimiliano Errico
Design, Optimization And Control Of An Alternative Process Based On Extractive Distillation For The Sweetening Of Natural Gas, Carlos E. Torres-Ortega, Juan Gabriel Segovia-Hernandez, Fernado I. Gomez-Castro, Salvador Hernandez, Adrian Bonilla-Petriciolet, Ben-Guang Rong, Massimiliano Errico
Adrian Bonilla-Petriciolet
Alternative configurations based on cryogenic extractive distillation for the natural gas sweetening process were proposed and simulated by using Aspen Plus One 7.0 coupled to a multi-objective stochastic optimization procedure (Differential Evolution, DE). The evaluation of the performances of the proposed configurations was focused on the carbon dioxide-ethane azeotrope separation considering different liquefied hydrocarbon fractions as entrainers. The design alternatives were compared to the conventional chemical absorption system. The proposed sequences were simultaneously optimized by minimizing the Total Annual Cost (TAC) and maximizing the acid gas removal. Complementary studies regarding the theoretical control properties, thermodynamic efficiency and greenhouse gases generation …
Optimization And Modeling Of Extraction Of Solid Coconut Waste Oil, Abdul Aziz Abdul Raman
Optimization And Modeling Of Extraction Of Solid Coconut Waste Oil, Abdul Aziz Abdul Raman
Abdul Aziz Abdul Raman
Solid coconut waste was produced after coconut milk extraction process and may still contain up to 24 wt.% oil content. In this work, extraction of oil from coconut waste using batch and soxhlet extractor was studied. Effect of particle size diameter, type of solvent and solvent to solid ratio on the kinetic and thermodynamic parameters; entropy, enthalpy and free energy of extraction were investigated. The maximum oil yields for soxhlet and batch reactor were 23.6% at 80 °C and 21.9% at 65 °C, respectively for particle size diameter <0.5 mm when hexane was used as solvent. The kinetic of coconut waste oil extraction was found to be a first order mass transfer model. The ΔG, ΔS and ΔH values were 10.94–13.35 kJ/mol, 33.10–39.57 J/mol K and 0.12–1.25 kJ/mol, respectively shows that the extraction process was spontaneous, irreversible and endothermic based on thermodynamic parameters.
Development Of A Novel Inoculum Preparation Method For Solid-State Fermentation - Cellophane Film Culture (Cfc) Technique, Teck Nam Ang, Gek Cheng Ngoh, Adeline Seak May Chua
Development Of A Novel Inoculum Preparation Method For Solid-State Fermentation - Cellophane Film Culture (Cfc) Technique, Teck Nam Ang, Gek Cheng Ngoh, Adeline Seak May Chua
Teck Nam Ang Dr.
This study reports a user-friendly technique in the preparation of fungal inoculum intended for solid-state fermentation (SSF) – Cellophane Film Culture (CFC) technique. This technique uses cellophane film-overlaid agar plates to facilitate the separation of fungal biomass. The findings showed that inoculum of P. sajor-caju produced is viable, and it was confirmed by the presence of laccase enzyme activity in SSF of rice husk. The correlation between fungal dry and wet weights (r2 = 0.9329) provides an accurate estimation of fungal dry weight from its wet weight during inoculum preparation. Besides, this technique does not require a strict sterile handling …
Comparative Study Of Various Pretreatment Reagents On Rice Husk And Structural Changes Assessment Of The Optimised Pretreated Rice Husk, Teck Nam Ang Dr., Gek Cheng Ngoh Dr, Adeline Seak May Chua Dr
Comparative Study Of Various Pretreatment Reagents On Rice Husk And Structural Changes Assessment Of The Optimised Pretreated Rice Husk, Teck Nam Ang Dr., Gek Cheng Ngoh Dr, Adeline Seak May Chua Dr
Teck Nam Ang Dr.
The performance of alkalis (NaOH and Ca(OH)2) and acids (H2SO4, HCl, H3PO4, CH3COOH, and HNO3) in the pretreatment of rice husk was screened, and a suitable reagent was assessed for subsequent optimisation using response surface methodology. From the assessment, HCl that hydrolysed rice husk well was optimised with three parameters (HCl loading, pretreatment duration, and temperature) using Box-Behnken Design. The optimised condition (0.5% (w/v) HCl loading, 125oC, 1.5 hours) is relatively mild, and resulted in ~22.3 mg TRS/ml hydrolysate. The reduced model developed has good predictability, where the predicted and experimental results differ by only 2%. The comprehensive structural characterization …