A Hybrid Simulation Model for Large-Scaled Electricity Generation Systems Marco Pruckner, Reinhard German, Proceedings of the 2013 Winter Simulation Conference

Due to the transition towards a sustainable energy supply, many electricity generation systems are faced with great challenges worldwide. Highly volatile renewable energy sources play an important role in the future electricity generation mix and should help compensate the phase-out of nuclear power in countries such as Germany. Simulation-based energy system analysis can support the conversion into a sustainable future energy system and are intended to find risks and miscalculations. In this paper we present main components of the electricity generation system models. We use a hybrid simulation approach with system dynamics and discrete event modules. This modular design allows quick model adoptions for different scenarios. Simulation results show the development of the future annual electricity balance, CO2 emission balance, electricty imports and exports, and the wholesale price of electricity.
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Communication Modeling for a Combat Simulation in a Network Centric Warfare Environment Kyuhyeon Shin, Hochang Nam, Taesik Lee, Proceedings of the 2013 Winter Simulation Conference

Effective and efficient information sharing in a warfare environment is a key feature of the Network Centric Warfare (NCW) concept, and a combat simulation model should reflect this key feature. Most existing combat simulation models adopt a simplified communication model, which may lead to overestimating an actual level of communication performance. On the other hand, while providing accurate assessment of communication performance, a low-level, detailed, engineered model for communication tends to be overly sophisticated and computationally intensive to incorporate in typical combat models. In this paper, we propose a communication model in the context of an engagement-level of NCW combat simulation. In particular, we use a propagation loss model to determine a success or failure of individual communication attempts. We also define a set of model parameters to characterize various communication networks deployed in a battlefield. Preliminary simulation experiments and their results are presented to illustrate the proposed modeling framework
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Distortion of “Mental Maps” as an Exemplar of Imperfect Situation Awareness Victor Middleton, Proceedings of the 2013 Winter Simulation Conference

This paper provides the first results of dissertation research that seeks to develop and apply an experimental milieu for the study of imperfect Situation Awareness/Situation Understanding (SA/SU) and of decision-making based on that SA/SU. It describes an agent-based simulation and initial results of simulation experiments conducted with that framework. The simulation experiments explore a specific, easily understood, and quantifiable example of human behavior: intelligent agents being spatially “lost” while trying to navigate in a simulation world.
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A Modular Simulation Model For Assessing Interventions For Abdominal Aortic Aneurysms Christoph Urach, Günther Zauner, Gottfried Endel, Ingrid Wilbacher, Felix Breitenecker, Proceedings of the 2013 Winter Simulation Conference

This paper discusses the development of an individual based simulation of interventions for better treatment of patients with abdominal aortic aneurysms (AAA). The interdisciplinary subject required collaboration of medical doctors, Health Technology Assessment (HTA) experts and modelers.
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Prospective Healthcare Decision-Making By Combined System Dynamics, Discrete-Event And Agent-Based Simulation Anatoli Djanatliev, Reinhard German, Proceedings of the 2013 Winter Simulation Conference

Prospective Health Technology Assessment allows early decision making for innovative health care technologies. In our recent publications a hybrid simulation approach with System Dynamics and Agent-Based Modeling has been presented. This paper presents a mechanism to generate agents dynamically from SD models and extends the previously presented hybrid approach by process-oriented Discrete Event Simulation for hospital modeling.
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RoPax/RoRo: Exploring the Use of Simulation as Decision Support System Mariusz Balaban and Tom Mastaglio

Several challenges of port/terminal and/or ferry company managers pertain to decisions for the justification of investments and concurrent operational tasks of roll-on/roll-off passenger (RoPax) and roll-on/roll-off (RoRo) systems. This paper explores the possible uses of Modeling and Simulation (M&S) techniques as a decision-support aid for a RoPax/RoRo system managers.
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Agent-based modelling to visualise trustworthiness: a socio-technical framework Shuyuan Mary Ho, Ram Reddy Katukoori; Int. J. Mobile Network Design and Innovation, Vol. 5, No. 1, 2013

This paper describes a socio-technical study based on physical world scenarios of deceptive behaviour occurring in a virtual collaborative environment. An agent-based modelling (ABM) approach was adopted to visualise trustworthiness that can signal deceptive behaviour in virtual communications among social actors. The modelling strategies were guided by attribution theories toward an agent’s perceived trustworthiness.
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Large Scale Healthcare Modeling by Hybrid Simulation Techniques using AnyLogic Anatoli Djanatliev and Reinhard German, Computer Networks and Communication Systems Department of Computer Science 7. Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques

This paper describes a methodical and practical approach of hybrid model creation using the simulation tool AnyLogic. We focus on general modeling aspects and on advanced techniques using a Level-Based Architecture that help to develop large scale hybrid simulation models. An implementation of a stroke therapy use-case and its simulation results will be discussed. Finally, some practical ideas for validation will be outlined, as we experienced during the stroke use-case development.
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Business Process Modeling and Efficiency Improvement through an Agent-Based Approach Dario RUSSO, Franco PASSACANTANDO, Luigi GEPPERT, Luigi MANCA

This paper describes the results of a practical experience of business process improvement and change. the business modeling approach, carried out through an agent-based model, has been applied to an operational process with the aim to reduce the overlapping of the operational phases and to improve the time-efficiency. Simulation outcomes and results are discussed.
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Modeling Smart Grids as Complex Systems Through The Implementation of Intelligent Hubs Jose Gonzalez de Durana, Oscar Barambones (University College of Engineering, University of the Basque Country); Enrique Kremers, Pablo Viejo (European Institute for Energy Research - EIFER). 7th International Conference on Informatics in Control, Automation and Robotics (ICINCO), Funchal, Madeira (Portugal), June 15-18 2010.

The electrical system is undergoing a profound change of state, which will lead to what is being called the smart grid. The necessity of a complex system approach to cope with ongoing changes is presented: combining a systemic approach based on complexity science with the classical views of electrical grids is important for an understanding the behavior of the future grid. Key issues like different layers and inter-layer devices, as well as subsystems are discussed and proposed as a base to create an agent-based system model to run simulations.
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