% Encoding: UTF-8
@COMMENT{BibTeX export based on data in FAU CRIS: https://cris.fau.de/}
@COMMENT{For any questions please write to cris-support@fau.de}
@inproceedings{faucris.115008344,
abstract = {Smart grid, which is a set of enabling technologies, is seen by experts as very promising vision that has the potential to encounter the challenges of next-generation power grid. Smart grid consists mainly of power and communication networks, therefore investigating new methods and innovations in smart grid requires coupling these two worlds together. Development and evaluation of complex smart grid applications would benefit from efficient simulation environment. The traditional approach is to employ two simulators, one for communication and the other for power grid, nevertheless this approach would require coordination of multiple simulators, each having its own intrinsic timing and relationship attributes. In this paper we present an abstracted model-based approach that models and simulates communication and power systems within one simulator. We discuss the design and implementation of different components in this simulation environment. This way of implementation enables easy and rapid modeling, simulation and investigation of new methods and innovations of new smart grid applications. We also present preliminary simulation results of a case study evaluating atypical smart grid application where we show the benefit of empowering the power grid with communication capabilities. © 2012 IEEE.},
author = {Awad, Abdalkarim and Bazan, Peter and German, Reinhard},
booktitle = {EMS 2012 - UKSim/AMSS 6th European Symposium on Computer Modeling and Simulation},
date = {2012-11-14/2012-11-16},
doi = {10.1109/EMS.2012.21},
faupublication = {yes},
note = {UnivIS-Import:2015-04-16:Pub.2012.tech.IMMD.IMMD7.abstra},
pages = {305-310},
peerreviewed = {Yes},
publisher = {IEEE},
title = {{Abstract}-{Based} {Methodology} for {Modeling} and {Simulation} of {Smart} {Grid} {Components}},
venue = {Valetta},
year = {2012}
}
@inproceedings{faucris.111051864,
address = {Ottawa, Canada},
author = {Käßmeyer, Michael and Bazan, Peter and Schurius, Markus and German, Reinhard},
booktitle = {Formal Verification for Practicing Engineers (FVPE)},
date = {2016-10-23/2016-10-27},
doi = {10.1109/ISSREW.2016.25},
faupublication = {yes},
isbn = {9781509036011},
keywords = {Dependability Analysis; Fault Tree; Minimal Cut Sets; Multi-Valued Decision Diagram; Product Line Engineering; States},
note = {UnivIS-Import:2017-12-18:Pub.2016.tech.IMMD.IMMD7.aforma},
pages = {271-277},
peerreviewed = {Yes},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
title = {{A} {Formal} {Model} for {Stateful} and {Variant}-rich {Automotive} {Functions}},
venue = {Ottawa, ON},
year = {2016}
}
@incollection{faucris.210435865,
address = {Cham},
author = {Awad, Abdalkarim and Bazan, Peter and German, Reinhard},
booktitle = {Systems Modeling: Methodologies and Tools},
doi = {10.1007/978-3-319-92378-9{\_}19},
editor = {Antonio Puliafito, Kishor S. Trivedi},
faupublication = {yes},
month = {Jan},
pages = {303-317},
peerreviewed = {Yes},
publisher = {Springer},
series = {EAI/Springer Innovations in Communication and Computing},
title = {{A} {House} {Appliances}-{Level} {Co}-simulation {Framework} for {Smart} {Grid} {Applications}},
year = {2019}
}
@inproceedings{faucris.248068393,
abstract = {In this work the possibility of a triple generation system for a seasonal pumped thermal energy storage (PTES) is investigated. Residential cooling via a heat pump (HP) is used to load a simple seasonal thermal storage during the summer season and unload it when the requirement of residential heating occurs. While unloading the high temperate, heat is used to power an Organic Rankine Cycle (ORC), whose low temperature condensation heat is then used to heat the building. Therefore, power and heat is stored in the summer and used during the winter. This combines the usage of increased renewable power generation during the summer, especially from photovoltaic and the reduction of fossil or power intensive heating requirements during the winter. Power to power efficiencies of up to 29.2 % with latent and 25.4 % with sensible storages were achieved.
energy sources. In this paper, a continuous and discrete simulation of a pumped thermal energy storage
system are compared with respect to their computational time and accuracy. The stratified heat storage
is modelled using spatial one-dimensional considerations and abstractions. Results show, that the discrete
simulation with fixed time step is about 60 times faster and has neglectable deviation in the resolution of
heat loss computations and accuracy, compared to the continuous System Dynamics model. The conducted
sensitivity analysis shows, that parameters of the storage fluid have little influence on the overall result.
The determining factor regarding losses in the storage and possible savings for users, is the insulation of
the thermal storage. Increasing the number of temperature layers considered in the simulation shows so
called deadlayers, which block the storage if not removed during operation.
We consider a virtual battery energy storage consisting of individual storage systems used for both, maximization of household PV-power self-consumption and provision of frequency containment reserve power. A central controller manages the frequency containment reserve power provision by setting benchmarks for each individual storage every 15 minutes. The individual storage systems provide frequency containment reserve power autonomously based on the frequency deviation to its nominal value and the given benchmark. A uniform frequency containment reserve power dispersion to all individual storage systems causes marginal power requests most of the time, which lead to high losses due to the bad efficiency of the rectifiers in low part-load operation. Therefore, this paper suggests an algorithm for only using subsets of the virtual battery energy storage with a certain amount of individual systems for frequency containment reserve power provision (“clustering”). The algorithm aims at improving the efficiency and is able to reduce both the charging and the discharging losses by more than 10 percentage points. In addition it balances the states of charge of the individual storages and increases the self-consumption of PV-power of the households. These results are derived from detailed simulations of the system.},
author = {Schlund, Jonas and Steber, David and Bazan, Peter and German, Reinhard},
booktitle = {Proceedings of the 7th Innovative Smart Grid Technologies Asia},
date = {2017-12-04/2017-12-07},
doi = {10.1109/ISGT-Asia.2017.8378430},
faupublication = {yes},
keywords = {frequency containment reserve power; virtual battery energy storage; clustering; efficiency; photovoltaic self-consumption},
peerreviewed = {unknown},
title = {{Increasing} the {Efficiency} of a {Virtual} {Battery} {Storage} {Providing} {Frequency} {Containment} {Reserve} {Power} by {Applying} a {Clustering} {Algorithm}},
venue = {Auckland},
year = {2017}
}
@article{faucris.239801597,
abstract = {The life cycle assessment of components is becoming increasingly important for planning and construction. In this paper, a novel storage technology for excess electricity consisting of a heat pump, a heat storage and an organic rankine cycle is investigated with regards to its environmental impact. Waste heat is exergetically upgraded, stored in a hot water storage unit and afterwards reconverted to electricity when needed. Such a pilot plant on a lab scale is currently built in Germany. The first part of this paper focuses on geothermal energy as a potential heat source for the storage system and its environmental impact. For a large scale application, geothermal hotspots in Germany are further investigated. The second part analyzes the storage technology itself and compares it to the impacts of commonly used battery storage technologies. Especially during the manufacturing process, significantly better global warming potential values are shown compared to lithium-ion and lead batteries. The least environmental impact while operating the system is with wind power, which suggests an implementation of the storage system into the grid in the northern part of Germany.
},
address = {Glasgow, Scotland},
author = {Awad, Abdalkarim and Bazan, Peter and German, Reinhard},
booktitle = {Proceedings of the IEEE 81st Vehicular Technology Conference: VTC2015-Spring, First International Workshop on Integrating Communications, Control, Computing Technologies for Smart Grid (ICT4SG)},
doi = {10.1109/VTCSpring.2015.7146032},
faupublication = {yes},
keywords = {privacy; demand response},
note = {UnivIS-Import:2015-04-17:Pub.2015.tech.IMMD.IMMD7.privac},
peerreviewed = {Yes},
title = {{Privacy} {Aware} {Demand} {Response} and {Smart} {Metering}},
year = {2015}
}
@inproceedings{faucris.115716524,
address = {Cham},
author = {Käßmeyer, Michael and Berndt, Rüdiger and Bazan, Peter and German, Reinhard},
booktitle = {Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems. MMB&DFT 2016. Lecture Notes in Computer Science, vol 9629.},
date = {2016-04-04/2016-04-06},
doi = {10.1007/978-3-319-31559-1{\_}11},
editor = {Remke A., Haverkort B.R.},
faupublication = {yes},
note = {UnivIS-Import:2016-06-01:Pub.2016.tech.IMMD.IMMD7.produc},
pages = {122-136},
peerreviewed = {Yes},
publisher = {Springer},
series = {Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance},
title = {{Product} {Line} {Fault} {Tree} {Analysis} by {Means} of {Multi}-valued {Decision} {Diagrams}},
venue = {Münster},
year = {2016}
}
@inproceedings{faucris.115909244,
abstract = {Motivated by the decreasing costs of distributed energy resources and energy storage technologies, the increasing costs of electricity for households and the decreasing benefits of feed-in tariff, new strategies for power management inside a house are required. The two-way flow of information and power in smart grid creates new opportunities, services and applications in the next generation power grid. Both system operators and normal households can benefit from this paradigm, which has the potential to change not only how energy will be produced but also how energy will be consumed. In this paper we extend our previous approach aiming to enhance the profit of a privately owned Photovoltaic (PV) system such that it considers load elasticity and limitations on charging and discharging of batteries. The proposed method increases the profit through exploiting demand and supply forecasts, day-ahead price and demand elasticity. Each house finds periodically the optimal strategy to follow based on the results of solving a discrete optimization problem which takes into consideration different system parameters and constraints. The proposed power management controller is suitable to be applied in the realtime operation of a typical house. The results demonstrate that the proposed approach provides more savings compared to a standard approach across a range of different scenarios and system constraints. The results show that a typical house can save up to 300 €/year when applying optimized power management compared to a standard approach. © 2013 IEEE.},
author = {Awad, Abdalkarim and Bazan, Peter and German, Reinhard},
booktitle = {IEEE PES Asia-Pacific Power and Energy Engineering Conference 2013},
date = {2013-12-08/2013-12-11},
doi = {10.1109/APPEEC.2013.6837147},
faupublication = {yes},
isbn = {978-1-4799-2522-3},
note = {UnivIS-Import:2015-04-16:Pub.2013.tech.IMMD.IMMD7.profit},
pages = {1-6},
peerreviewed = {Yes},
publisher = {IEEE Computer Society},
title = {{Profit} {Enhancement} {Through} {Optimized} {Operation} of {Photovoltaic} {Systems} with {Elastic} {Demand}},
venue = {Kowloon},
year = {2013}
}
@inproceedings{faucris.242290396,
author = {Scharrer, Daniel and Eppinger, Bernd and Bazan, Peter and Zigan, Lars and Karl, Jürgen and German, Reinhard and Will, Stefan},
booktitle = {12th International Renewable Energy Storage Conference (IRES 2018)},
date = {2018-03-13/2018-03-15},
faupublication = {yes},
peerreviewed = {unknown},
title = {{Properties} of {Reversible} {Heatpump}-{ORC} {Energystorage} {Systems} for {Baseload} {Generation}},
venue = {Düsseldorf},
year = {2018}
}
@inproceedings{faucris.210442923,
author = {Scharrer, Daniel and Schmitt, Bernd and Bazan, Peter and Zigan, Lars and Will, Stefan and Karl, Jürgen and German, Reinhard},
booktitle = {IRES 2018 - 12th International Renewable Energy Storage Conference},
date = {2018-03-13/2018-03-15},
faupublication = {yes},
peerreviewed = {No},
title = {{Properties} of {Reversible} {Heat} {Pump} {ORC} {Energy} {Storage} {Systems} for {Base} {Load} {Generation}},
venue = {Düsseldorf},
year = {2018}
}
@inproceedings{faucris.121170324,
abstract = {
},
address = {Essen, Germany},
author = {Bazan, Peter and Luchscheider, Philipp and German, Reinhard},
booktitle = {Proceedings of the 2015 SmartER Europe Conference},
faupublication = {yes},
note = {UnivIS-Import:2015-04-17:Pub.2015.tech.IMMD.IMMD7.rapidm},
peerreviewed = {No},
title = {{Rapid} {Modeling} and {Simulation} of {Hybrid} {Energy} {Networks}},
year = {2015}
}
@inproceedings{faucris.210437796,
author = {German, Reinhard and Bazan, Peter and Awad, Abdalkarim},
booktitle = {7th D-A-CH+ Energy Informatics Conference},
date = {2018-10-11/2018-10-12},
faupublication = {yes},
peerreviewed = {No},
title = {{Rapid} {Prototyping} with i7-{AnyEnergy} and {Detailed} {Co}-{Simulation} with {SGsim}},
venue = {Oldenburg},
year = {2018}
}
@inproceedings{faucris.210436865,
abstract = {Car rental companies have to operate the fleet of vehicles considering a
cost effective fleet sizing and rebalancing of the vehicles.
Additionally, they have to ensure a good vehicle availability at the
rental stations. We present a simulation model combined with
optimization and queueing network analysis for mobility-on-demand
networks with one-way car sharing. The system is modeled as a closed
queueing network. On the one hand, this allows an estimation of the
vehicle availability; on the other hand, constraints for the
optimization model can be derived from the mathematical equations of the
queuing network model. To optimize the total revenue, the optimization
model considers price incentives for customer trips and cost of empty
trips resulting in a mixed-integer linear programming problem. The
simulation uses the optimization component for an optimized operation of
the mobility-on-demand networks and computes the optimal fleet size,
the cost of empty runs, and the vehicle availabilit},
address = {Piscataway, NJ, USA},
author = {Bazan, Peter and Djanatliev, Anatoli and Lauer, Christoph and Pruckner, Marco and German, Reinhard},
booktitle = {Proceedings of the 2018 Winter Simulation Conference},
date = {2018-12-09/2018-12-12},
doi = {10.1109/WSC.2018.8632428},
editor = {M. Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, and B. Johansson},
faupublication = {yes},
isbn = {978-1-5386-6572-5},
pages = {1527-1538},
peerreviewed = {Yes},
publisher = {IEEE Press},
title = {{Rebalancing} and {Fleet} {Sizing} of {Mobility}-on-{Demand} {Networks} with {Combined} {Simulation}, {Optimization} and {Queueing} {Network} {Analysis}},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8632428&isnumber=8632166},
venue = {Göteborg},
year = {2018}
}
@article{faucris.203683042,
abstract = {Modern driver assistance systems for self-driving cars often rely on data collected by different sensors to determine the necessary system decisions. To prevent system failures, different validation techniques are used. The development is often split between car manufacturers and suppliers, whereby the requested test effort is one main project acceptance criterion. Already available effort estimation methods are not applicable, because they rely on implementation details that do not exist at early phases or on project experiences or individual expert expectations, which are not reliable enough to be employed as trustworthy source. Therefore, we provide in this paper an analytic approach for the computation of the error probability of a multi-sensor system. Based on this, we can give estimations for the test effort such that with statistical confidence no errors of the sensor system can be expected during the tests. The approach is able to take both the dependencies between successive sensor errors and the correlation between different sensors into account, mainly by using discrete time Markov chains. The provided approach therefore allows to design multi-sensor systems such that a specified overall error probability can be met and to give an estimation for the upper bound of the test effor},
author = {Bock, Florian and Siegl, Sebastian and Bazan, Peter and Buchholz, Peter and German, Reinhard},
doi = {10.1016/j.sysarc.2018.01.006},
faupublication = {yes},
journal = {Journal of Systems Architecture},
keywords = {Discrete-Time Markov Chain; Driver Assistance System; Multi-sensor; Reliability Analysis; Sensor-Based; Test Effort Estimation},
note = {UnivIS-Import:2018-09-05:Pub.2018.tech.IMMD.IMMD7.reliab},
pages = {1-13},
peerreviewed = {Yes},
title = {{Reliability} and test effort analysis of multi-sensor driver assistance systems},
url = {http://www.sciencedirect.com/science/article/pii/S1383762117304289},
volume = {85-86},
year = {2018}
}
@inproceedings{faucris.264025956,
abstract = {Precise environment perception, which consists of multi-sensor systems, ensures the safety of the automated driving functions (ADFs). With the rapid evolution of sensor technologies, sensor data collection errors occur rarely. Nevertheless, accurate interpretation of the sensor data context, such as 3D multi-object tracking, is still full of challenges. Safety of the Intended Functionality (SOTIF) takes concern of the vulnerability of perception systems. The research of quantitative SOTIF analysis is still ongoing. In this paper, we propose a multi-sensor system model to observe both false negative and false positive errors in different field-of-views. Besides, we also extend a proven Markov-based approach, which takes dependencies between successive sensor errors and correlation between two dependent sensors into account, to model three correlated sensors sharing the same region of interest. In the end, we present a numerical example to illustrate the quantitative reliability analysis of a multi-sensor perception system according to SOTIF.
However, the simulation clearly shows that a pushed expansion of renewable energies is indispensable and that the storage capacities and concepts planned so far will not be sufficient to buffer the surplus energy peaks and make them available. There is a need for research and action here, both specifically for the EMN and for other regions.
From our point of view, it will be crucial for the EMN that the existing industry in the EMN acquires the competences to develop and produce components, partial and complete systems for hydrogen technology. For this purpose, it is important to provide easy access to this knowledge in the form of a central knowledge center and to ensure close networking of the various players in the product-related value chai}, author = {Pircher, Thomas and Bazan, Peter and Elhaus, Nora and Fellerer, Jonathan and German, Reinhard and Karl, Jürgen and Kolb, Sebastian and Kunz, Thomas and Opferkuch, Frank and Pilz-Lansley, Alexander and Reichenwallner, Simon and Ronge, Karlheinz and Scharrer, Daniel and Schuster, Tassilo and Werner, Bastian}, doi = {10.5281/zenodo.7628146}, faupublication = {yes}, keywords = {hydrogen; european metropolitan area; mobility; sector coupling}, peerreviewed = {automatic}, title = {{Wasserstoff} in der {Metropolregion} {Nürnberg} – {Analyse} der {Kompetenzen}, {Chancen} und {Herausforderungen}}, year = {2023} } @inproceedings{faucris.210413753, author = {Bazan, Peter and Bolch, Gunter and German, Reinhard}, booktitle = {11th Int. Conf. on Analytical and Stochastic Modelling Techniques and Applications}, date = {2004-06-13/2004-06-16}, faupublication = {yes}, pages = {110-115}, peerreviewed = {Yes}, title = {{WinPEPSY}-{QNS} {Performance} {Evaluation} and {Prediction} {System} for {Queueing} {Networks}}, venue = {Magdeburg}, year = {2004} } @inproceedings{faucris.118095384, abstract = {WinPEPSY-QNS is a tool for the easy construction of queueing network models and the evaluation of the performance measures. A graphical and a textual editor can be used for the construction process. The performance measures of the models can be derived by several analysis methods. For product-form networks the mean value analysis (MVA), the method of Jackson, and the method for BCMP networks are implemented. For non-product-form networks the methods of Marie or Chylla can be used. The state space based analysis is provided by a discrete event simulation and solvers for continuous time Markov chains. Some important non-Markovian distributions can be approximated by phase-type distributions. For large Markov chains an efficient solver has been implemented, based on multi-valued decision diagrams and a new approximation method for the stationary analysis.}, address = {Berlin}, author = {Bazan, Peter and Bolch, Gunter and German, Reinhard}, booktitle = {Proc.13th GI/ITG Conference}, date = {2006-03-27/2006-03-29}, faupublication = {yes}, isbn = {3-8007-2945-8}, note = {UnivIS-Import:2015-04-16:Pub.2006.tech.IMMD.IMMD7.winpep}, pages = {465-468}, peerreviewed = {Yes}, publisher = {VDE Verlag GmbH}, title = {{WinPEPSY}-{QNS}-{Performance} {Evaluation} and {Prediction} {System} for {Queueing} {Networks}}, url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5755404&queryText%3DWinPEPSY-QNS-Performance+Evaluation+and+Prediction+System+for+Queueing+Networks}, venue = {Nürnberg, Germany}, year = {2006} } @inproceedings{faucris.115038264, address = {Bad Staffelstein, Germany}, author = {Luchscheider, Philipp and Bazan, Peter and German, Reinhard}, booktitle = {29. Symposium Photovoltaische Solarenergie (PVSE 2014)}, date = {2014-03-12/2014-03-14}, faupublication = {yes}, note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD7.zeitli}, peerreviewed = {No}, title = {{Zeitlich} hochaufgelöste {Simulation} von {Solarstrahlung} zur {Bewertung} von {Smart} {Grids}}, venue = {Bad Staffelstein}, year = {2014} }