Academic literature on the topic 'Operation simulation'

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Journal articles on the topic "Operation simulation"

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Avagianos, Ioannis, Dimitrios Rakopoulos, Sotirios Karellas, and Emmanouil Kakaras. "Review of Process Modeling of Solid-Fuel Thermal Power Plants for Flexible and Off-Design Operation." Energies 13, no. 24 (December 14, 2020): 6587. http://dx.doi.org/10.3390/en13246587.

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Since the widespread deployment of non-dispatchable, intermittent, and highly variable power production from renewable energy sources (RES), the demand for flexible power production has been steadily growing. As new-built dispatchable power plants have not been very quickly adapted to the emerging flexible operation, this task has been addressed by existing plants as well. Existing solid-fuel thermal power plants have undergone an extensive study to increase their flexible operation. Thermodynamic process-modeling tools have been extensively used for plant modeling. Steady- and transient-state simulations have been performed under various operating regimes, supplying valuable results for efficient power-plant operation. Flexibility aspects regarding low-load operation and steady operational conditions are mostly investigated with steady-state simulations. Flexibility aspects related to variation over time such as ramping rates are investigated with transient simulations. The off-design operation is mainly attributed to the existing fleet of power plants, struggling to balance between their former operational schemes as base and/or medium-load plants. However, off-design operation is also considered for new plants in the design phase and is included as a simulation aspect. Process modeling turns out to be a proven tool for calculating plant flexibility and predicting extreme operating conditions, defining further steps for a new operational scheme, drafting accident mitigation control procedures or, furthermore, provisioning more complex and cross-field future tasks. A review of the off-design aspect as a simulation approach is undertaken and presented in this work. Finally, challenges and future perspectives for this aspect of solid-fuel thermal power plants are discussed.
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Sasireka, K., T. R Neelakantan, and S. Suriyanarayanan. "Simulation of Multipurpose Reservoir Operation with Hedging Rules." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 594. http://dx.doi.org/10.14419/ijet.v7i3.12.16436.

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Reservoir operation plays an important role in the economic development of a region. The storage reservoirs are not only useful for supplying water for municipal and irrigation purpose, but also act as a protection barrier form flood, and the stored water can be used for generation of electricity power as well. To meet the objectives for which the reservoir was planned, it is vital to formulate guidelines for the operation of reservoir. This can be achieved by systematic operation of the system, and by the use of systematic and simplified rule curve for the operation of reservoir. Hedging rules are popular in drinking and irrigation water supply. Application of hedging is now gaining focus for hydropower power reservoir operation. In the present study, attempt has been made to formulate a new operating rule for multipurpose reservoir using hedging rules and the developed model was applied to a case study of Bargi reservoir in the Narmada basin in India. In order to increase the reliability of water supply for municipal, irrigation and average annual power production, the new operating rule has been developed using Standard Operation Policy (SOP) and hedging rule according to the priority of release for different purposes. The hedging rule based simulation model satisfies 97.5% of municipal water supply which is more than 8.25% of the present operational policy. The spill of the reservoir is decreased by 57 % compared to present policy. The performances of different hedging rules were compared with that of a new standard operating policies and the superiority of the hedging rules are discussed in this paper.
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Nava Rodriguez, Nestor Eduardo, Giuseppe Carbone, and Marco Ceccarelli. "Simulation results for design and operation of CALUMA, a new low-cost humanoid robot." Robotica 26, no. 5 (September 2008): 601–18. http://dx.doi.org/10.1017/s0263574708004189.

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SUMMARYThis paper presents simulation results for basic operation of CALUMA (CAssino Low-cost hUMAnoid robot). The new humanoid robot CALUMA is described with its characteristics of low-cost design and easy-operation behavior. A CALUMA model in ADAMS environment has been elaborated. The CALUMA ADAMS model has been used for a dynamic simulation of robot operation. Three modes for the dynamic simulation have been studied, namely straight walking, walking with a grasped object in the hand, and lifting an object. The results of simulating those basic operations show the feasibility of the proposed design for CALUMA robot and validate its operation. Improvements have been illustrated in the design evolution for the robot structure and operation as suggested by simulation results.
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Durcansky, Peter, and Pavol Orsansky. "Numerical simulation of heat exchanger operation." MATEC Web of Conferences 168 (2018): 04001. http://dx.doi.org/10.1051/matecconf/201816804001.

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Numerical simulations have opened wide field of possible applications and opportunities to be used not only in science but also in the industry. With new developed numerical methods we can not only describe existing systems, but we can also predict possible behaviour or possible state of inspected system. This article deals with numerical simulation of proposed heat exchanger for hot air engine and with simulation of its possible states and behaviour with certain conditions.
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Jia, Benjun, Jianzhong Zhou, Lu Chen, Zhongzheng He, Liu Yuan, Xiao Chen, and Jingan Zhu. "Self-optimization system dynamics simulation of reservoir operating rules." MATEC Web of Conferences 246 (2018): 01013. http://dx.doi.org/10.1051/matecconf/201824601013.

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Operating rules have been used widely in the reservoir long-term operation duo to its characteristics of coping with inflow uncertainty and easy implementation. And implicit stochastic optimization (ISO) has been widely applied to derive reservoir operation rules, based on linear regression or nonlinear fitting method. However, the maximum goodness-of-fit criterion of fitting method may be unreliable to determine the effective rules. Therefore, this paper develops a self-optimization system dynamics (SD) simulation of reservoir operation for optimizing the operating rules, by taking advantages of feedback loops in SD simulation. A deterministic optimization operation model is firstly established, and then resolved using dynamic programming (DP). Simultaneously, the initial operating rules (IOR) are derived using the linear fitting method. Finally, the refined optimal operating rules (OOR) are obtained by improving the IOR based on the self-optimization SD simulation. China’s Three Gorges Reservoir is used as a case study. The results show that the SD simulation is competent in simulating a complicated hydropower system with feedback and causal loops. Moreover, it makes a contribution to improve the IOR derived by fitting method within an ISO frame. And the OOR improve effectively the guarantee rate of power generation on the premise of ensuring power generation.
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Skabardonis, Alexander. "Simulation of Freeway Weaving Areas." Transportation Research Record: Journal of the Transportation Research Board 1802, no. 1 (January 2002): 115–24. http://dx.doi.org/10.3141/1802-14.

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The operation of freeway weaving sections is characterized by intense lane-changing maneuvers and complex vehicle interactions that often create bottlenecks along freeway facilities. The CORSIM microscopic simulation model was applied to simulate the operation of eight realworld weaving sites in California under a wide range of operating conditions. The results indicate that CORSIM with default parameter values underpredicts the speeds in the weaving section by about 19% on average. Numerous simulation runs were made with different values of the model parameters. The following parameters were found to significantly affect the CORSIM results: ( a) car-following sensitivity factor, ( b) lane-changing aggressiveness factor, and ( c) percentage of freeway through vehicles that yield to merging traffic. The calibrated CORSIM model reasonably replicated observed traffic operations at all test sites. The predicted average speeds were within ±5 mph for most test sites. Good agreement between measured and predicted values was obtained for all the combinations of design characteristics and demand patterns.
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Desa, Wan Laailatul Hanim Mat, Shahrul Kamaruddin, and Mohd Kamal Mohd Nawawi. "Modeling of Aircraft Composite Parts Using Simulation." Advanced Materials Research 591-593 (November 2012): 557–60. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.557.

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Simulation is one of the most powerful tools available for decision makers to study, analyze and evaluate any design and operation particularly for complex processes and systems. One of the largest application areas for simulation modelling is the manufacturing systems. As such, it is widely applied in manufacturing as a representation of the industrial operation systems allowing the systems to be observed, learnt and tested in a more holistic manner. This paper is based on a preliminary study that demonstrates the application of computer simulation modelling, which is a branch of Operations Research techniques, as a means to identify bottlenecks in order to determine the ideal operating conditions for large scale aircraft composite parts production plant in Malaysia. The model development of the plant under study was built using Arena software.
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Kolka, Zdenek, Martin Poledno, Viera Biolkova, and Dalibor Biolek. "Complex Simulation Model of Microturbine Unit." Applied Mechanics and Materials 278-280 (January 2013): 282–89. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.282.

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The paper deals with a mathematical model suitable for the hardware emulator of a microturbine power unit, which serves the design, optimization, and verification of control equipment. The emulator interface signals mimic the operation of a real turbine including the electrical parameters of interfaces. A system of algebraic-differential equations representing the turbine model is formulated such that it allows applying an explicit solver with a predictable amount of operations to obtain the next time step, which is important for the real-time simulation. The model includes the starter motor, generator, gearbox, and single-shaft gas microturbine. In addition to the normal operational performance the instrument allows simulating various faults.
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Danišovič, Peter, Martin Rázga, and Štefan Šedivý. "Road Tunnel Operation and Simulation." Procedia Engineering 111 (2015): 134–41. http://dx.doi.org/10.1016/j.proeng.2015.07.067.

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Gnusov, Maksim, and Sergey Malyukov. "Simulation modeling operation soil thrower." Актуальные направления научных исследований XXI века: теория и практика 3, no. 5 (November 24, 2015): 232–35. http://dx.doi.org/10.12737/16013.

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Dissertations / Theses on the topic "Operation simulation"

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Su, Wencong. "Microgrid Modeling, Planning and Operation." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/35843.

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As distributed generations and renewable energy are becoming the fastest growing segment of the energy industry, the technical issues and environmental impacts have to be studied and understood. The large number of small-scale Microgrid components with their own characteristics is a big challenge for Microgrid modeling, simulation, planning and operation.

The major goal of this thesis is to build a library of various Microgrid components. First of all, the thesis is going to present a detailed description of Microgrid models with moderate complexity. Next, it will present the modeling of loads, utility grid and transmission lines. Then, the paper will discuss the distributed generation models that have been developed in Matlab/Simulink including Diesel Engine, Fuel Cell, Micro Gas Turbine, Wind Turbine, Photovoltaic Cell, along with the detailed modeling of short-term storage (Battery, Pumped Hydro Storage, Flywheel, and Supercapacitor). In addition to steady-state study, the thesis will also discuss the hybrid sample systems that are built to investigate their transient responses.

To enhance the simulation performance, some improvements on modeling and simulation will be introduced as well. To accommodate the high demand of renewable energy and the environment policy, the planning and operation the of Micro-source generators has been studied using HOMER. Simulation results show a case study of an optimal microgrid configuration on Ontario area in Canada. Sensitivity variables are specified to examine the effect of uncertainties, especially in a long-term planning. Also, demand side management plays an important role in the operation of Microgrid. Based on raw data, case studies are carried out to investigate and validate the demand response methods. Finally, the philosophy for Microgrid protection, especially Time-delay overcurrent protection, will be briefly introduced in both gird-connected and islanding modes.
Master of Science

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Grieg, Thomas Willumsen, Ole Henrik F. Pedersen, and Jørgen Rønholt. "Simulation and Rescheduling of Operation for a RoRo-fleet." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for marin teknikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-22367.

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This master thesis is a part of the MARFLIX (MARitime FLeet size and mIX) project. The research project MARFLIX is a collaboration between NTNU, MARINTEK, DNV and WWL. The overall aim for the MARFLIX project is to develop and test methods for improved support for fleet size and mix decision-making through quantitative methods. Wallenius Wilhelmsen Logistics (WWL) is a global liner shipping company which delivers shipping and logistics solutions for manufacturers of car, trucks, heavy equipment and specialized cargo. In this master thesis a framework model that is able to test and verify deployment models was developed. This framework model contains a simulation part and an optimization part. The simulation model is constructed to simulate the day to day operations of a fleet. In the day to day operation disruptions will occur. These disruptions are simulated by the use of two different probability distributions and Monte Carlo Simulation. Disruptions occur regularly in a global liner shipping network. About 70-80 % of the vessels experience delays in at least one port during each roundtrip. When a disruption occurs in a liner shipping network, the impact on the network should be minimized.When a disruption occurs, the simulation model will first try to regain the delay by speeding up the delayed vessel. If speeding up is not sufficient, a rescheduling process is initiated. The simulation model will then call on the optimization model to perform a rescheduling. The optimization model considers omitting and changing the order of port calls, and space chartering cargo as possible recovery actions. It will then find the best way to recover from the delay. The new solution will then be implemented as new schedules for the vessels in the fleet.The optimization model is modeled as a set partition model, which can take use of the beneficial structure that appears in transportation problems. To solve a set partition model a column generation algorithm is needed. The column generation algorithm implemented in our model is a complete enumeration algorithm, which generates all possible routes that the vessels can sail. A benefit with the complete enumeration algorithm is that the same routes can be used for all reschedulings during a simulation.There are several incidents, e.g. machinery problems, extreme weather and collision, that can cause delays for a vessel and with that create a need for a rescheduling. Each of these incidents have different impacts on ships, e.g. reduced speed, delayed, changed resistance, port call canceled etc. The simulation and optimization model have been tested on several different problems with a different composition of ports, vessels and cargos. The time required to solve the different test instances varied between 30 and 240 seconds. The tests showed that the required computing time increased exponentially with an increase in the number of ports. The tests also showed that when the chartering cost increased, the number of chartered ships decreased and the rescheduling cost increased.The new routes generated and implemented by the optimization model show similarities with the original routes; in most scenarioes only one or two port calls are changed or left out. This is done contrary to what many shipping companies usually do when they experience delays; they often speed up until the delay is regained.The simulation and optimization models developed in this thesis are able to test and verify the MARFLIX deployment model. In case of a delay the models are able to find good schedules for the fleet within a reasonable amount of time. The different output values provided by the simulation model should be sufficient to verify the deployment model.
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Dalmau, Figueras Montserrat. "Integrated operation of membrane bioreactors: simulation and experimental studies." Doctoral thesis, Universitat de Girona, 2014. http://hdl.handle.net/10803/284740.

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Membrane bioreactors (MBR) are a combination of common bioreactors and membrane filtration units for biomass retention, presenting unique advantages like high effluent quality and a smaller footprint than the one by conventional wastewater treatment plants. However, fouling and its associated costs are the main drawbacks related to this technology. This thesis presents a step towards the integrated operation of MBRs through experimental and model-based studies. Interactions between the biological (nutrient removal and sludge characteristics) and physical (hydrodynamics and filtration) processes in MBRs were studied, with the final aim being to improve their integrated operation and control. Moreover, the reduced energy costs and the better understanding of MBR operation may contribute to making MBR systems a more competitive technology to deal with water scarcity problems
Els bioreactors de membranes (BRM) són una combinació dels reactors convencionals i una unitat de filtració que reté la biomassa, de manera que presenten com a gran avantatge una qualitat de sortida amb estàndards de reutilizació, i molt poca necessitat d’espai. Tanmateix, l'embrutiment i els seus costs associats són els principals inconvenients d'aquesta tecnologia. Aquesta tesi presenta un pas endavant cap a l’operació integrada dels BRM mitjançant estudis experimentals i de modelització. Les interaccions entre els processos biològics (eliminació de nutrients i característiques de la biomassa) i físics (hidrodinàmica i filtració) que tenen lloc als BRM s’han estudiat amb l’objectiu final de millorar-ne la seva operació i el control integrat. A més, s'han reduit els costos energètics, els quals contribueixen a la millora de la competitvitat de la tecnologia BRM com a solució potencial per a problemes d’escassetat d’aigua
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Hammond, Alec Michael. "Machine Learning Methods for Nanophotonic Design, Simulation, and Operation." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7131.

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Interest in nanophotonics continues to grow as integrated optics provides an affordable platform for areas like telecommunications, quantum information processing, and biosensing. Designing and characterizing integrated photonics components and circuits, however, remains a major bottleneck. This is especially true when complex circuits or devices are required to study a particular phenomenon.To address this challenge, this work develops and experimentally validates a novel machine learning design framework for nanophotonic devices that is both practical and intuitive. As case studies, artificial neural networks are trained to model strip waveguides, integrated chirped Bragg gratings, and microring resonators using a small number of simple input and output parameters relevant to designers. Once trained, the models significantly decrease the computational cost relative to traditional design methodologies. To illustrate the power of the new design paradigm, both forward and inverse design tools enabled by the new design paradigm are demonstrated. These tools are directly used to design and fabricate several integrated Bragg grating devices and ring resonator filters. The method's predictions match the experimental measurements well and do not require any post-fabrication training adjustments.
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Lizneva, Yulia. "Using simulation method for improving RoPax ship loading operation." Thesis, Blekinge Tekniska Högskola, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20916.

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Barrowman, Mary Ann McCullen. "Evaluation of operation plans using the Joint Theater Level Simulation." Thesis, Monterey, California. Naval Postgraduate School, 1985. http://hdl.handle.net/10945/21317.

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Sultan, Beshr. "The study of motorway operation using a microscopic simulation model." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322018.

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Wang, Yijia. "HVAC operation uncertainty in energy performance gap." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53858.

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This study aims at a preliminary characterization of system operation uncertainty. It bases this on an analysis of the energy consumption of 6 existing buildings on the Georgia Tech campus. The analysis is speculative in nature.
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Moloney, William J. "Applying simulation techniques to train railway traction drivers." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8370/.

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The writer analyses the introduction of a simulator enabled approach to railway traction driver training and assesses whether the transition from a conventional training delivery process has been effective. The evaluation of effectiveness is based on a study of Iarnród Éireann’s simulator system. Evidence is contained within four supporting strands, i.e., the change in relevant operational risk that has been calculated using ex ante and ex post runs of Iarnród Éireann’s risk model, the internal rate of return on the financial investment necessary to effect the change, the results of an operator attitudinal study and the findings of an independent expert audit. The study establishes that simulation is an effective training medium. The attributes of the system and the use cases that resulted in this finding are described. The writer also presents additional value-adding training objectives that could increase the project’s internal rate of return or IRR. The study affirms that the required verisimilitude of a simulator system is a function of the training goals and the nature of the skills under development. Design features and use strategies can mitigate for potential negative effects of simulator operation. The findings have industry-wide relevance for those tasked with providing effective training to the 133,000 train drivers within the European Union.
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Manataki, Areti. "Analysing supply chain operation dynamics through logic-based modelling and simulation." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/7687.

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Supply Chain Management (SCM) is becoming increasingly important in the modern business world. In order to effectively manage and integrate a supply chain (SC), a deep understanding of overall SC operation dynamics is needed. This involves understanding how the decisions, actions and interactions between SC members affect each other, and how these relate to SC performance and SC disruptions. Achieving such an understanding is not an easy task, given the complex and dynamic nature of supply chains. Existing simulation approaches do not provide an explanation of simulation results, while related work on SC disruption analysis studies SC disruptions separately from SC operation and performance. This thesis presents a logic-based approach for modelling, simulating and explaining SC operation that fills these gaps. SC members are modelled as logicbased intelligent agents consisting of a reasoning layer, represented through business rules, a process layer, represented through business processes and a communication layer, represented through communicative actions. The SC operation model is declaratively formalised, and a rule-based specification is provided for the execution semantics of the formal model, thus driving the simulation of SC operation. The choice of a logic-based approach enables the automated generation of explanations about simulated behaviours. SC disruptions are included in the SC operation model, and a causal model is defined, capturing relationships between different types of SC disruptions and low SC performance. This way, explanations can be generated on causal relationships between occurred SC disruptions and low SC performance. This approach was analytically and empirically evaluated with the participation of SCM and business experts. The results indicate the following: Firstly, the approach is useful, as it allows for higher efficiency, correctness and certainty about explanations of SC operation compared to the case of no automated explanation support. Secondly, it improves the understanding of the domain for non-SCM experts with respect to their correctness and efficiency; the correctness improvement is significantly higher compared to the case of no prior explanation system use, without loss of efficiency. Thirdly, the logic-based approach allows for maintainability and reusability with respect to the specification of SC operation input models, the developed simulation system and the developed explanation system.
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Books on the topic "Operation simulation"

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Rakopoulos, Constantine D. Diesel engine transient operation: Principles of operation and simulation analysis. London: Springer, 2009.

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Ayres, David T. Simulation of L.H.D. operation using Automod software. Sudbury, Ont: Laurentian University, School of Engineering, 1996.

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Hensen, Jan L. M., and Roberto Lamberts, eds. Building Performance Simulation for Design and Operation. Second edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.1201/9780429402296.

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Somieski, Gerhard. MISI version 2 - Modular Interactive Simulation - installation and operation manual. Koln: DFVLR, 1987.

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Georgiadis, S. A micro-computer based simulation of a concreting operation. Manchester: UMIST, 1995.

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Marcio Luiz de Souza-Santos. Solid fuels combustion and gasification: Modeling, simulation, and equipment operation. New York: Marcel Dekker, 2004.

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Lesage, Francois. Optimization of light-gas gun operation using a numerical simulation code. Valcartier, Quebec: Defence Research Establishment Valcartier, 1990.

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Computational auction mechanisms for restructured power industry operation. Boston: Kluwer, 1999.

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Kemme, Nils. Design and Operation of Automated Container Storage Systems. Heidelberg: Physica-Verlag HD, 2013.

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Braithwaite, Timothy Huw. Development and operation of an atomic oxygen beam facility for low earth orbit simulation. [Downsview, Ont.]: Department of Aerospace Science and Engineering, 1988.

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Book chapters on the topic "Operation simulation"

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Belkhode, Pramod, J. P. Modak, V. Vidyasagar, and P. B. Maheshwary. "Quantitative Analysis of Face Drilling Operation." In Mathematical Modeling and Simulation, 103–4. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003132127-10.

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Lynch, Michael F., and E. Grimm. "The Design, Development and Operation of a Compact Nuclear Power Plant Simulator." In Nuclear Simulation, 177–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83221-5_12.

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Kitsche, Wolfgang. "Simulation of Flight Conditions." In Operation of a Cryogenic Rocket Engine, 63–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10565-4_6.

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Genito, Nicola, Ferdinando Montemari, Gianluca Corraro, Domenico Rispo, Roberto Palumbo, and Pasquale Canzolino. "Integrated Simulation Facility for Interoperability Operation." In Modelling and Simulation for Autonomous Systems, 105–20. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13823-7_10.

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Simona, Jursová, Pustějovská Pavlína, Brožová Silvie, and Bilík Jiří. "Mathematical Simulation of Blast Furnace Operation." In Ironmaking and Steelmaking Processes, 139–50. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39529-6_8.

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Biggs, Geoffrey, Noriaki Ando, and Tetsuo Kotoku. "Native Robot Software Framework Inter-operation." In Simulation, Modeling, and Programming for Autonomous Robots, 180–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17319-6_19.

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Finke, Markus, and Achim Schweikard. "3D Simulation of a Motorized Operation Microscope." In Simulation, Modeling, and Programming for Autonomous Robots, 258–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89076-8_26.

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Mahdavi, Ardeshir, and Farhang Tahmasebi. "People in building performance simulation." In Building Performance Simulation for Design and Operation, 117–45. Second edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.1201/9780429402296-4.

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Crawley, Drury B. "Building simulation for policy support." In Building Performance Simulation for Design and Operation, 384–95. Second edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.1201/9780429402296-12.

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Müller, Sven Christian, Hanno Georg, and Christian Wietfeld. "Comprehensive Simulation Framework for Power System Operation." In Monitoring, Control and Protection of Interconnected Power Systems, 371–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53848-3_19.

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Conference papers on the topic "Operation simulation"

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Yong-guang Ma, Jin Ma, Jing Li, and Peng Ran. "The simulator operation instruction system for simulation practice of power plant operation." In 2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing (ICSC). IEEE, 2008. http://dx.doi.org/10.1109/asc-icsc.2008.4675385.

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Weida Xu and Tianyuan Xiao. "Mixed model assembly line balancing problem with fuzzy operation times and drifting operations." In 2008 Winter Simulation Conference (WSC). IEEE, 2008. http://dx.doi.org/10.1109/wsc.2008.4736263.

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Bruzzone, A. G., and M. Massei. "Intelligent Agents for Modelling Country Reconstruction Operation." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.685-052.

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PI, W., J. YAMANE, and M. SMITH. "Generic aircraft ground operation simulation." In 27th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1986. http://dx.doi.org/10.2514/6.1986-989.

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"Operation art in military simulation." In the 24th conference, chair Paul F. Auclair. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/167293.167854.

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Pachu, Carla S., Carlos Z. Arce, Celso A. R. de Oliveira, Luis C. Faraj, and Luis A. Rubino. "Computer Simulation Of Vehicle Operation." In SAE Brasil. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1993. http://dx.doi.org/10.4271/931624.

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Park, Young Soo, Xiaorui Zhao, and Scott Korthals. "Simulation of Augmented Telerobotic Operation." In 2014 International Symposium on Optomechatronic Technologies (ISOT). IEEE, 2014. http://dx.doi.org/10.1109/isot.2014.65.

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Yanjun, You, Kang Fengju, and Yang Huizhen. "Real-time simulation operation platform1." In 2009 4th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2009. http://dx.doi.org/10.1109/iciea.2009.5138515.

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Kara, S. "Simulation of intravenous pumps’ operation." In BIOMEDICINE 2003, edited by F. Şener, S. Kemaloğlu, and M. Okandan. Southampton, UK: WIT Press, 2003. http://dx.doi.org/10.2495/bio030511.

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Cheng, Tao-ming, Shien-Tang Wu, and Yi-Wei Tseng. "Construction Operation Simulation Tool - Cost." In 17th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2000. http://dx.doi.org/10.22260/isarc2000/0127.

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Reports on the topic "Operation simulation"

1

Buettner, Raymond. Information Operation/Information Warfare Modeling and Simulation. Fort Belvoir, VA: Defense Technical Information Center, June 2000. http://dx.doi.org/10.21236/ada384028.

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Aguayo Navarrete, Estanislao, Austin S. Ankney, Timothy J. Berguson, Richard T. Kouzes, John L. Orrell, Meredith D. Troy, and Clinton G. Wiseman. Monte Carlo Simulation Tool Installation and Operation Guide. Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1095434.

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Merminga, L., K. Crawford, J. R. Delayen, L. Doolittle, C. Hovater, R. Kazimi, G. Krafft, et al. Experiments and simulation of high current operation at CEBAF. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/10155306.

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Merminga, L., K. Crawford, J. R. Delayen, L. Doolittle, C. Hovater, R. Kazimi, G. Krafft, et al. Experiments and simulation of high current operation at CEBAF. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/268548.

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Kirby, Ken. Resolving Conflict Over Reservoir Operation. A Role for Optimization and Simulation Modeling. Fort Belvoir, VA: Defense Technical Information Center, June 1999. http://dx.doi.org/10.21236/ada394246.

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Emmerich, Steven J., Brian J. Polidoro, and William Stuart S. Dols. Simulation of Residential Carbon Monoxide Exposure Due to Generator Operation in Enclosed Spaces. National Institute of Standards and Technology, September 2016. http://dx.doi.org/10.6028/nist.tn.1925.

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Ross, Kyle W., Randall O. Gauntt, Jeffrey N. Cardoni, Jesse Phillips, Donald A. Kalinich, Douglas M. Osborn, and Damian Peko. Interim MELCOR Simulation of the Fukushima Daiichi Unit 2 Accident Reactor Core Isolation Cooling Operation. Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1325949.

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Govindaraj, T. Qualitative Simulation and Intelligent Tutoring Aids for Training in the Operation of Complex Dynamic Systems. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada198903.

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Govindaraj, T., and Vijay Vasandani. Qualitative Simulation and Intelligent Tutoring Aids for Training in the Operation of Complex Dynamic Systems. Fort Belvoir, VA: Defense Technical Information Center, February 1991. http://dx.doi.org/10.21236/ada233006.

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Fytas, K., E. B. Wilson, and R. K. Singhal. Comparison of Fortran and GPSS languages in the simulation of a shovel-truck open pit operation. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1987. http://dx.doi.org/10.4095/304988.

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