TY - JOUR A1 - Reichelt, David Georg A1 - Kühne, Stefan A1 - Scheller, Fabian A1 - Abitz, Daniel A1 - Johanning, Simon ED - Reussner, R. H. ED - Koziolek, A. ED - Heinrich, R. T1 - Towards an Infrastructure for Energy Model Computation and Linkage JF - INFORMATIK 2020 N2 - Decision makers strive for optimal ways of production and usage of energy. To adjust their behavior to the future situation of markets and technology, the execution of different models predicting e.g. energy consumption, energy production, prices and consumer behavior is necessary. This execution is itself time-consuming and requires input data management. Furthermore, since different models cover different aspects of the energy domain, they need to be linked. To speed up the linkage and reduce manual errors, these linkage needs to be automated. We present IRPsim, an infrastructure for computation of different models and their linkage. The IRPsim-infrastructure enables management of model data in a structured database, parallelized model execution and automatic model linkage. Thereby, IRPsim allows researchers and practitioners to use energy system models for strategic business model analysis. Y1 - 2020 U6 - https://doi.org/10.18420/inf2020_21 SP - 225 EP - 235 ER - TY - CHAP A1 - Johanning, Simon A1 - Abitz, Daniel A1 - Schulte, Emily A1 - Scheller, Fabian A1 - Bruckner, Thomas T1 - PVactVal: A Validation Approach for Agent-based Modeling of Residential Photovoltaic Adoption T2 - 18th International Conference on the European Energy Market (EEM) N2 - Agent-based simulation models are an important tool to study the effectiveness of policy interventions on the uptake of residential photovoltaic systems by households, a cornerstone of sustainable energy system transition. In order for these models to be trustworthy, they require rigorous validation.However, the canonical approach of validating emulation models through calibration with parameters that minimize the difference of model results and reference data fails when the model is subject to many stochastic influences. The residential photovoltaic diffusion model PVact features numerous stochastic influences that prevent straightforward optimization-driven calibration.From the analysis of the results of a case-study on the cities Dresden and Leipzig (Germany) based on three error metrics (mean average error, root mean square error and cumulative average error), this research identifies a parameter range where stochastic fluctuations exceed differences between results of different parameterization and a minimization-based calibration approach fails.Based on this observation, an approach is developed that aggregates model behavior across multiple simulation runs and parameter combinations to compare results between scenarios representing different future developments or policy interventions of interest. Y1 - 2022 SN - 978-1-6654-0896-7 U6 - https://doi.org/10.1109/eem54602.2022.9921039 SP - 1 EP - 6 ER - TY - JOUR A1 - Johanning, Simon A1 - Scheller, Fabian A1 - Abitz, Daniel A1 - Wehner, Claudius A1 - Bruckner, Thomas T1 - A modular multi-agent framework for innovation diffusion in changing business environments: conceptualization, formalization and implementation JF - Complex Adaptive Systems Modeling N2 - Understanding how innovations are accepted in a dynamic and complex market environment is a crucial factor for competitive advantage. To understand the relevant factors for this diffusion and to predict success, empirically grounded agent-based models have become increasingly popular in recent years. Despite the popularity of these innovation diffusion models, no common framework that integrates their diversity exists. This article presents a flexible, modular and extensible common description and implementation framework that allows to depict the large variety of model components found in existing models. The framework aims to provide a theoretically grounded description and implementation framework for empirically grounded agent-based models of innovation diffusion. It identifies 30 component requirements to conceptualize an integrated formal framework description. Based on this formal description, a java-based implementation allowing for flexible configuration of existing and future models of innovation diffusion is developed. As a variable decision support tool in decision-making processes on the adoption of innovations the framework is valuable for the investigation of a range of research questions on innovation diffusion, business model evaluation and infrastructure transformation. Y1 - 2020 U6 - https://doi.org/10.1186/s40294-020-00074-6 VL - 8 IS - 1 ER - TY - CHAP A1 - Johanning, Simon A1 - Schulte, Emily A1 - Abitz, Daniel A1 - Scheller, Fabian A1 - Bruckner, Thomas ED - Johanning, Simon ED - Scheller, Fabian ED - Kühne, Stefan ED - Bruckner, Thomas T1 - PVactVal: Ein Ansatz für die operationale Validierung von Aufdach-PV Diffusionsmodellen T2 - Agentenbasierte Modellierung urbaner Transformationsprozesse T3 - Studien zu Infrastruktur und Ressourcenmanagement - Band 12 Y1 - 2022 SN - 9783832554132 U6 - https://doi.org/10.30819/5413.11 SP - 139 EP - 152 ER - TY - CHAP A1 - Johanning, Simon A1 - Abitz, Daniel A1 - Scheller, Fabian A1 - Bruckner, Thomas T1 - The Influence of Financial Benefits and Peer Effects on the Adoption of Residential Rooftop Photovoltaic Systems T2 - 19th International Conference on the European Energy Market (EEM) N2 - The uptake of residential photovoltaic systems is essential for energy system transformation towards carbon neutrality and decentralization. However, despite numerous campaigns to incentivize their uptake, adoption by residential homeowners is lacking behind. While countless drivers and barriers have been identified, the decision process is not fully understood. To address this gap, we developed an agent-based residential rooftop photovoltaic adoption model called PVact. Our model analyzes the interactions of potential household adopters based on their utility functions and social network, with a focus on the role of monetary evaluation and social pressure in adoption behavior. In this paper, we aim to assess the influence of monetary evaluation and social pressure in an abstract case study based on real-world data from the municipality of Leipzig, Germany. We consider stochastic dynamics through scenario analysis to investigate the influence of these factors on adoption behavior. Our results show that monetary evaluation and social pressure have a significant impact on adoption behavior. Specifically, we find shifting adoption patterns with an increased requirement for monetary returns and higher level of normative pressure required for households to act. Higher resistance against these pressure shows more stochastic variations, more pronounced tipping points and stronger run-away effects. Y1 - 2023 SN - 979-8-3503-1258-4 U6 - https://doi.org/10.1109/eem58374.2023.10161765 SP - 1 EP - 16 ER -