Simul. Notes Eur.最新文献

{"title":"Approach for Synthesis and Optimization of Complex Thermal Systems for Supermarkets","authors":"J. Kistner, W. Tegethoff, N. Fidorra, J. Köhler","doi":"10.11128/SNE.29.TN.10476","DOIUrl":"https://doi.org/10.11128/SNE.29.TN.10476","url":null,"abstract":"The development of thermal systems for supermarkets is a challenging task. Both, heating and cooling demands at different temperature levels have to be satisfied under individual boundary conditions. In combination with a broad range of available technologies and components, a high number of possible system layouts exist. Thus, various types of refrigeration systems can be found in supermarkets: Central refrigeration systems with one or two stages and direct evaporation, central systems with a secondary loop or systems with (semi)-plug-in-cabinets. The system topology and operating strategy depend on climate conditions, building scale, customer’s occupancy or evaluation criteria. In practice, established solutions based on experience are used. However, comparing all alternative concepts is difficult. Beside the consideration of investment costs, it is essential to evaluate the energy consumption. For the calculation of energy consumption, considering dynamic interactions between components is crucial. To compare different system layouts under consideration of dynamic interactions, an optimal operating control has to be applied. Furthermore, the high number of possible topologies makes it necessary to reduce the complexity for the selection of components and their interconnections. Therefore, software based methods are needed to efficiently reduce complexity and evaluate system alternatives in a dynamic environment. This paper presents a procedure that supports the user to find an optimal system topology under individual conditions. As an example, a secondary-loop refrigeration system with low and medium temperature cabinets is applied. The user defines ambient conditions and requirements such as cooling load and temperature setpoints. Additionally, a set of transient, non-linear models for available technical equipment is defined. The parametrized, ready-to-use models are managed in a catalogue platform. In the catalogue, additional information is stored, like valid operational ranges, which is used during optimization. On this information basis, an algorithm deduces a reasonable refrigeration system layout. Intermediate result is a ready-to-simulate system. It contains only catalogue models that have physical reasonable interconnections. Subsequently, the system’s fluid flow rate of each connection is optimized. The result of the optimization is used for evaluation of the system layout and further reduction of its topology. The paper shows, that using simple input information, the complexity of the optimization problem can be extremely reduced. The suggested procedure is capable to deploy an optimal system topology under consideration of non-linear dependencies. Introduction Kistner et al. Approach for Synthesis and Optimization of Complex Thermal Systems 94 SNE 29(2) – 6/2019 T N 1 Supermarket Refrigeration Systems 2 Procedure for Layout Development","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131162236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inside the Virtual Test Aircraft (VIRTTAC) Benchmark Model: Simulation Architecture","authors":"N. Fezans, C. Deiler","doi":"10.11128/SNE.29.ON.10461","DOIUrl":"https://doi.org/10.11128/SNE.29.ON.10461","url":null,"abstract":"One of the major goals of research and innovation in aviation is to enhance the overall air traffic safety and to make traveling even more comfortable for both pilots and passengers. Novel aircraft safety and control features are normally developed for distinct a aircraft type due to e.g. a certain demand from the aircraft manufacturer or its availability for research facilities in terms of the existence of high-quality simulation models or flight testing capabilities. In the last years, numerous interesting and noticeable innovations to enhance aviation safety have been published for different aircraft types. For example, a very small study of developments in the field of aircraft flight envelope protection revealed that 12 different aircraft types or models were used in numerous publications [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]. Hence, comparison of all the different developments is very difficult. Furthermore, the assessment of the applicability of a published new methodology for a different type of aircraft is very difficult as normally the reader’s knowledge about the underlying system is quite small. To overcome this problem and provide a common simulation model to the research community, NASA introduced in 2011 a generic aircraft simulation model called the “Transport Class Model” (TCM) derived from a sub-scale “Generic Transport Model” (GTM) simulation[18]. It is a fully functioning aircraft simulation including realistic engine and actuator behavior, sensor models and a flight control system. Although a significant number of failure scenarios were considered, computed and tested in CFD and wind tunnels [19], only a few of them were implemented in the distributed Simulink simulation model. Moreover, the problem of comparability between various new developments is also present within the field of aircraft system identification. Various algorithms for parameter estimation and simulation model identification as well as related software tools have been developed during the last decades, but most of them were tested and verified for different aircraft. For example, Refs. [20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38] show results of various system identification techniques for more than 20 different aircraft types. Consequently, there is the problem to assess the quality of each methodology as there is no common base for an objective evaluation. The proposed high-quality model will be made available to all developers and will constitute a good complement to the already existing/available models.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"31 19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124110239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ARGESIM Benchmarks on Modelling Approaches and Simulation Implementations - Development, Classification and Basis for Simulation Education","authors":"F. Breitenecker, A. Körner, H. Ecker, N. Popper, T. Pawletta","doi":"10.11128/SNE.29.BN.10468","DOIUrl":"https://doi.org/10.11128/SNE.29.BN.10468","url":null,"abstract":". ARGESIM, a non-profit association for information and publication on simulation, started in 1990 in co-operation with EUROSIM, the Federation of European Simulation Societies, the series ‘ARGESIM Comparison of Simulation Software’ in the journal Simulation Notes Europe (SNE). The comparisons have been developed successfully towards the ‘ARGESIM Benchmarks for Modelling Approaches","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131685592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of Prediction Models for Delays of Freight Trains by Using Data Mining and Machine Learning Methods","authors":"D. Leser, Matthias Wastian, M. Rössler, M. Landsiedl, E. Hajrizi","doi":"10.11128/sne.29.sn.10467","DOIUrl":"https://doi.org/10.11128/sne.29.sn.10467","url":null,"abstract":"On the one hand, having a tight schedule is desirable and very cost-efficient for freight transport companies. On the other hand, a tight schedule increases the impact of delays and cancellations. Furthermore, the prediction of delays is extremely complex, because they depend on many factors of influence. To address these issues, this work will show an approach to forecast delays of freight trains by using data mining and machine learning methods. For this purpose, an international freight transport company in rail traffic provided us with a huge amount of historical data of freight train runs. In order to get a suitable prediction model, we apply a knowledge discovery in databases (KDD) process, which contains the steps data selection, data preprocessing, data transformation, data mining and interpretation/evaluation. After the data selection and data preprocessing step we transform categorical features via one-hot encoding as well as via embedding with various embedding sizes. Furthermore, we apply a data transformation method for cyclical features like weekday. In the actual data mining process, we use the preprocessed historical data to perform a regression analysis, which forecasts the delays of freight trains, and compare several regression models like decision tree, random forest, extra trees and gradient boosting regression. An adequate prediction model will be integrated into an agent-based model, which tests the robustness of optimized locomotive schedules for freight trains. Introduction 1 The KDD Process","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115092865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Adaptable Full-Scale Aircraft Cabin in an Interconnected Simulation Environment","authors":"Mario Kallenbach, S. Kocks, P. Frost, Ingo Voissel, P. Hecker","doi":"10.11128/SNE.29.TN.10463","DOIUrl":"https://doi.org/10.11128/SNE.29.TN.10463","url":null,"abstract":"An aircraft cabin is – apart from interactions with the cabin crew – the most important interface between an airline and its passengers. The Institute of Flight Guidance (IFF) of the Technische Universität Braunschweig developed and built a full-scale aircraft cabin section comprising the structure and electronic systems of a shortto medium-haul single-aisle commercial aircraft. In this paper, we describe the ongoing work of setting up the cabin simulation and the developed solutions to a variety of technical challenges. We present our structural hardand software architecture focusing on high realism or plausibility while maintaining a high flexibility in the design for future developments. By means of two more detailed examples – an outside view simulation system and an interconnection network for the simulation environment – we show our approach.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130105820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MATLAB/Simulink's Variant Manager vs SESToPy","authors":"C. Deatcu, T. Pawletta, H. Folkerts","doi":"10.11128/SNE.29.SW.10466","DOIUrl":"https://doi.org/10.11128/SNE.29.SW.10466","url":null,"abstract":"This paper describes how a complex case study for variability modeling and simulation from the documentation of MATLAB/Simulink can be remodeled with the extended System Entity Structure and Model Base (eSES/MB) approach using the Phython-based tool SESToPy and the accompanying modelbuilder SESMoPy.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134562041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Probabilistic State Space Models - A Theoretical Framework with Practical Relevance","authors":"P. Junglas","doi":"10.11128/SNE.29.EN.10464","DOIUrl":"https://doi.org/10.11128/SNE.29.EN.10464","url":null,"abstract":"Corresponding to the modeling purpose discrete models can be defined using very different approaches: For a precise description and thorough analysis one of the many different mathematical descriptions can be applied, while a working practitioner often will describe a model within a concrete simulation environment. To demonstrate that mathematical models are useful for practical purposes as well, we will present a simple state-space model for a stochastic discrete system. By means of a concrete example we will show, how the use of this model makes the practical modeling process much easier and leads to a more concise concrete implementation.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116762518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Model-based Methodology for Identifying Capacity Limitations in Airports: Mexico City Airport Case","authors":"M. Mota, I. Flores","doi":"10.11128/SNE.29.ON.10462","DOIUrl":"https://doi.org/10.11128/SNE.29.ON.10462","url":null,"abstract":"Abstract. The current study presents a methodology for analysing and identifying the limitations in capacity of an airport, the methodology has been implemented in the case of Mexico City Airport which is a congested airport in Mexico. The methodology allows identifying what room is left for absorbing more traffic and what options are available while a new infrastructure is in place. The methodology revealed, that there is still room for absorbing more traffic under certain conditions and starting from that, actions can be taken in order to increase the capacity or reducing congestion in the airport.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133116917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proposing Multiple-Criteria Ranking to Simulate Building Renovation in Cities","authors":"Arjun Jamil, N. Weiss, T. Preisler, W. Renz","doi":"10.11128/SNE.30.SN.10502","DOIUrl":"https://doi.org/10.11128/SNE.30.SN.10502","url":null,"abstract":"Building renovation plays a huge role in reducing CO2 emissions and energy demand. To understand the effects of different renova-tion strategies, expert users and decision makers need to explore renovation scenarios both spatially and temporally. The ongoing GEWISS project aims to do this by providing a GIS (Geographical Information System) to visualize energy demand per building as well as an interface to simulate possible renovation paths to its users. This white paper presents a novel proposal to simulate future renovation paths by utilizing different user scenarios containing multiple selection criteria to rank current building stock and con-sequently use optimization to pass them through the user selected renovation strategy in the most optimal way.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"86 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127438323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Different Strategies for Modelling and Simulation of the Impact of Migration on Regional Population Development","authors":"Matthias Obermair, M. Bicher, F. Breitenecker","doi":"10.11128/SNE.28.TN.10446","DOIUrl":"https://doi.org/10.11128/SNE.28.TN.10446","url":null,"abstract":"Demographic developments are not only a point of interest on national but also on sub-national level where migration rates are typically much higher compared to international movements. This article presents several models for the simulation of the impact national and international migration has on regional population development. Hereby we contribute to the research field of demographic modelling as we demonstrate pros and cons of the different modelling strategies when trying to parametrize the models with real-world data. Since the influence of an individual’s age and sex on its mobility is a common feature discussed in literature, the models developed mainly focus on these influences. While the first models use decoupled migration processes, one additional approach is designed to take into account an individual’s wish ofmoving to a particular place and not being distributed to a random region. All models are further enhanced with a region-specific external migration tool.","PeriodicalId":262785,"journal":{"name":"Simul. Notes Eur.","volume":"50 15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125209711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}