TY - CHAP A1 - Spiegel, Thomas A1 - Adam, Mario T1 - Lastflexibilität in Wohngebäuden für reale Stromnetze mit Transportbeschränkungen T2 - 10. Fachtagung Smart Energy and Systems, 04.-05.11.2019, Dortmund KW - Windheizung 2.0 Y1 - 2019 N1 - nur Vortrag, keine Veröffentlichung im Tagungsband CY - Dortmund ER - TY - JOUR A1 - Spiegel, Thomas T1 - Impact of Renewable Energy Expansion to the Balancing Energy Demand of Differential Balancing Groups JF - Journal of Sustainable Development of Energy, Water and Environment Systems N2 - The research addresses the present situation on the German electricity market caused by variable renewable energy sources. The increasing number of households with photovoltaic and battery storage systems and their impacts require special attention. These systems change the traditional electricity customer from the sole electricity consumer to an electricity producer and consumer in one person. These so-called prosumers differ in their actual electricity demand from the initially estimated electricity demand with standard load profile. This discrepancy results in deviations within a differential balancing group. Thereby, the main finding of this research is a significant higher balancing energy demand with the expansion of photovoltaic and battery storage systems. Hence, the standard load profile is particularly not suitable for differential balancing groups with a high penetration of solar systems and still less suitable for groups with solar and battery storage systems KW - Balance responsible party KW - Balancing energy KW - Differential balancing group KW - Electricity schedule registration KW - peer KW - Photovoltaic and battery storage systems KW - Prosumer KW - Standard load profile Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-29207 SN - 1848-9257 VL - 6 IS - 4 SP - 784 EP - 799 PB - SDEWES ER - TY - CHAP A1 - Rödder, Maximilian A1 - Spiegel, Thomas A1 - Frank, Lena A1 - Neef, Matthias A1 - Adam, Mario ED - Großmann, Uwe ED - Kunold, Ingo T1 - Integration eines multifunktionalen Wärmepumpensystems als Hardware-in-the-Loop in ein Niederspannungsnetzmodell T2 - Smart Energy and Systems 2019: Digitalisierung - Anwendungen in Technik und Industriegesellschaft, 10. Fachtagung, 04.-05.11.2019, Dortmund KW - energiBUS4home Y1 - 2019 SP - 70 EP - 77 PB - vwh Verlag Werner Hülsbusch Fachverlag für Medientechnik und -wirtschaft CY - Glückstadt ER - TY - CHAP A1 - Nolting, Lars A1 - Spiegel, Thomas A1 - Reich, Marius A1 - Adam, Mario A1 - Praktiknjo, Aaron T1 - Can Energy System Modeling benefit from Artificial Neural Networks? Application of Two-Stage Metamodels to Reduce Computation of Security of Supply Assessments (Best Application Paper Award) T2 - CIE – 48th International Conference on Computers & Industrial Engineering, 02.-05.12.2018, Auckland / New Zealand KW - KIVi Y1 - 2018 CY - Auckland ER - TY - CHAP A1 - Spiegel, Thomas A1 - Backes, Klaus A1 - Adam, Mario A1 - Helbig, Sonja A1 - Eggert, Daniel T1 - Best-Practice-Lösungen für Mehrfamilienhäuser mit Solaranlage T2 - Symposium Thermische Solarenergie – Energiewende Wärme, 13.-15.06.2018, Bad Staffelstein KW - SUW-MFH Y1 - 2018 CY - Bad Staffelstein ER - TY - CHAP A1 - Winnitzki, Michael A1 - Spiegel, Thomas A1 - Adam, Mario T1 - Ansätze des maschinellen Lernens für die Prognose des Strombedarfes von Ortsnetzstationen als Beitrag für Steuerungsaufgaben in der Niederspannung. Postersession T2 - Innovationen im Verteilernetz: ETG-CIRED-Workshop 2021 (D-A-CH) 02.-03.11.2021, München KW - Windheizung 2.0 KW - ZIES Y1 - 2021 PB - VDE CY - München ER - TY - THES A1 - Spiegel, Thomas T1 - Multi-criteria flexibility allocation for electric distribution networks N2 - Germany’s national climate protection policy, the German Energy Transition, is oriented towards the reduction of energy-related greenhouse gas emissions by rapidly expanding the share of renewable energy systems. New challenges arise regarding technical and energy economical integration as installed wind and photovoltaic power capacities increase continuously. This thesis contributes to the topic by introducing a framework for online multi-criteria flexibility allocation in electrical distribution networks with transport capacity limitations. It considers technical aspects and market participant interests that may contradict each other. Local master data is preprocessed using geospatial information of buildings, photovoltaic systems, wind turbines, and the human population within a spatial domain of interest. By combining weather forecast data, this establishes the foundation for predicting power flow in the electrical distribution network and generating grid-beneficial criteria utilizing the smart grid traff. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:579-opus-1011990 PB - IRC-Library, Information Resource Center der Constructor University CY - Bremen ER - TY - INPR A1 - Priesmann, Jan A1 - Münch, Justin A1 - Ridha, Elias A1 - Spiegel, Thomas A1 - Reich, Marius A1 - Adam, Mario A1 - Nolting, Lars A1 - Praktiknjo, Aaron T1 - Artificial Intelligence and Design of Experiments for Assessing Security of Electricity Supply: A Review and Strategic Outlook N2 - Assessing the effects of the energy transition and liberalization of energy markets on resource adequacy is an increasingly important and demanding task. The rising complexity in energy systems requires adequate methods for energy system modeling leading to increased computational requirements. Furthermore, with complexity, uncertainty increases likewise calling for probabilistic assessments and scenario analyses. To adequately and efficiently address these various requirements, new methods from the field of data science are needed to accelerate current methods. With our systematic literature review, we want to close the gap between the three disciplines (1) assessment of security of electricity supply, (2) artificial intelligence, and (3) design of experiments. For this, we conduct a large-scale quantitative review on selected fields of application and methods and make a synthesis that relates the different disciplines to each other. Among other findings, we identify metamodeling of complex security of electricity supply models using AI methods and applications of AI-based methods for forecasts of storage dispatch and (non-)availabilities as promising fields of application that have not sufficiently been covered, yet. We end with deriving a new methodological pipeline for adequately and efficiently addressing the present and upcoming challenges in the assessment of security of electricity supply. Y1 - 2021 U6 - https://doi.org/https://doi.org/10.48550/arXiv.2112.04889 PB - arXiv ER - TY - JOUR A1 - Priesmann, Jan A1 - Münch, Justin A1 - Tillmanns, Marius A1 - Ridha, E. A1 - Spiegel, Thomas A1 - Reich, Marius A1 - Adam, Mario A1 - Nolting, L. A1 - Praktiknjo, Aaron T1 - Artificial intelligence and design of experiments for resource adequacy assessment in power systems JF - Energy Strategy Reviews KW - KiVi KW - Design of experiments KW - Resource adequacy KW - Security of supply KW - Artificial intelligence KW - KIVi Y1 - 2024 U6 - https://doi.org/10.1016/j.esr.2024.101368 SN - 2211-467X VL - 53 PB - Elsevier ER -