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Felix Lanfermann, Thiago Rios, Stefan Menzel, "AI-assisted Design Optimization and Data Analysis", Honda Technical Forum 2023, 2023.
AbstractThe current advances in generative artificial intelligence has large impact on a variety of fields, such as knowledge assessment, story writing, image and object generation, co-programming among others. The generative capabilities are especially advantageous for cooperative creativity and such will influence industrial design but also further engineering applications. Here, we provide an overview on our current research on text-to-3D models as sh...
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Andreas Neofytou, Jaeyub Hyun, Mariusz Bujny, Thiago Rios, Stefan Menzel, Hyunsun Kim, "A Modularized Level Set Topology Optimization Methodology For Vibro-acoustic Problems", AIAA SciTech Forum, 2023.
AbstractA modularized level set topology optimization methodology is used to solve vibro-acoustic topology optimization problems. The main objective is to minimize the sound pressure generated by vibrating structures at predefined locations within specified frequency ranges in an interior domain. The plug-and-play style architecture provides freedom to choose from a variety of software for the solution of the governing equations. Taking advantage of this...
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Bernhard Sendhoff, Felix Ocker, Nikolay Matyunin, Stefan Menzel, "The Future is Now? Generative AI: Introduction - Impact – Outlook ", Honda Technical Forum 2023, 2023.
AbstractGenerative AI and Large Language Models as groundbreaking technological innovations promise to redefine the boundaries of contemporary science and engineering. Their capabilities to produce e.g. context-sensitive text, knowledge-based answers, software code, images, music and 3D assets from text prompts and image inputs create opportunities for a manifold of disciplines. In addition, their natural language-based interfaces allow for intuitive dia...
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Thomas Jatschka, Tobias Rodemann, Guenther Raidl, "A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning", EvoCOP 2023, 2023.
AbstractWe propose a multilevel optimization algorithm (MLO) for solving large scale instances of the Multi-Period Battery Swapping Station Location Problem (MBSSLP), i.e., a problem for deciding the placement of battery swapping stations in an urban area. MLO generates a solution to an MBSSLP instance in three steps. First the problem size is iteratively reduced in a coarsening phase. Afterwards, a solution to the coarsest problem is obtained and the ob...
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Kyle Poland, David Ehrlich, Abdullah Makkeh, Patricia Wollstadt, Michael Wibral, "Continuous Partial Information Decomposition and its Estimation", Decomposing Multivariate Information in Complex Systems (DeMICS 23), 2023.
AbstractWhile the existence of a measure-theoretic (i.e. continuous and discrete-continuously mixed) partial information decomposition has been established recently, the work of Schick-Poland et. al was not concluded with an explicit form of the resulting generalized measure. In this talk, I will not only elaborate on the properties of the measure-theoretic information measure of redundant information, but will also demonstrate an approximation of the me...
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Yuto Koroyasu, "Exploring 3D Point Cloud Autoencoders as Generative Models in Similarity-based Topology Optimization", Technical University of Munich, 2023.
AbstractTopology Optimization (TO) is a powerful computational technique utilized to optimize the material distribution in a design space and create 3D structures that maximize their mechanical performance under a set of constraints. When applied during early stages of product development, TO enables rapid creation of design concepts and reduces the number of design modifications. However, in industrial settings, engineers often neglect the manufacturin...
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Mick Voogt, "Reducing Evaluation Time for a Multi-objective Energy System Sizing Problem using Dynamic Simulation Time", Leiden University (Netherlands), 2023.
AbstractA hybrid energy system integrates multiple energy sources, unlike systems that rely solely on a single source. However, incorporating these diverse energy sources can be intricate due to the variable nature of renewable energy supply. An approach to address these energy fluctuations is by incorporating energy storage, enhancing system resilience but also increasing costs. Another option would be to rely more on conventional energy sources, which ...
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Steffen Limmer, "Empirical Study of Stability and Fairness of Schemes for Benefit Distribution in Local Energy Communities", Energies, vol. 16, no. 4, 2023.
AbstractThe concept of local energy communities is receiving increasing attention. However, the question of how to distribute the benefit of a community among its members is still open. It is commonly desired that the benefit distribution is fair and stable. While benefit distribution schemes such as the nucleolus, Shapley value and Shapley-core are known to perform well in terms of fairness and stability, studies have shown that none of them can guarant...
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Patricia Wollstadt, Christiane Wiebel, Thomas Franke, "Who’s in charge of charging? Investigating Human-Machine-Cooperation in Smart Charging of Electric Vehicles ", International Conference on Human-Computer Interaction, HCII 2023: HCI in Mobility, Transport, and Automotive Systems, vol. 14048, pp. 131-143, 2023.
AbstractWe investigated the effect of varying the level of cooperation in a smart charging agent (SCA) on user perception and behavior. Our study involved manipulating the SCA’s cooperativeness by varying its degree of automation and the amount of information sharing with the user and measuring effects on changes in user behavior, perceived goal alignment, the user’s awareness of the SCA’s information processing, and perceived cooperativeness. Our ...
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Zahra Foroozandeh, Steffen Limmer, Fernando Lezama, Ricardo Faia, Sergio Ramos, Joao Soares, "A MBNLP Method for Centralized Energy Pricing and Scheduling in Local Energy Community", IEEE PES Generation, Transmission and Distribution Conference & Exposition 2022 – Latin America (IEEE GTD 2022), 2023.
AbstractThis paper proposes a new optimization model for pricing and demand scheduling in a grid-connected local energy community (LEC), including residential homes (consumers and prosumers), and combined heat and power (CHP) generation units. It is assumed that some homes have photovoltaic (PV) generation, electric vehicles (EVs), or both. A central entity is responsible for managing the EVs' charging and discharging process, and for scheduling energy e...
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