TY - JOUR A1 - Fahrion, Marc-Steffen A1 - Draeger, Susan A1 - Sinn, Michel A1 - Altinisik, Leman A1 - Sobek, Werner T1 - AKTIVkrankenhaus – Modernisierungsstrategie für ein klimaneutrales Krankenhausareal JF - Bauphysik N2 - Die Waldkliniken im thüringischen Eisenberg haben als erstes Krankenhaus das Ziel, ihren Gebäudebestand sowie die geplan-ten Neubauten durch den Zubau erneuerbarer Energien und eine intelligente Verbrauchssteuerung in naher Zukunft klimaneutral zu versorgen und somit den von Werner Sobek entwickelten Ak-tivhaus-Standard für ein gesamtes Krankenhausareal zu erfüllen. Im Rahmen einer durch das Thüringer Ministerium für Umwelt, Energie und Naturschutz sowie den Europäischen Fonds für regi-onale Entwicklung (EFRE) geförderten Studie wurde eine entspre-chende Modernisierungsstrategie entwickelt. Infolge des aktuell noch sehr hohen Energieverbrauchs wurden zunächst Effizienz-potenziale im Bestand analysiert. Im Anschluss fand eine Untersuchung der am Standort erschließbaren regenerativen Energiequellen statt. Darauf aufbauend wurden ein kurzfristig umsetzbares Energiekonzept sowie eine mittelfristige Moderni-sierungsstrategie entwickelt. Diese erlaubt es, bis zum Ende der 2040er Jahre ein AKTIVkrankenhaus zu realisieren und darüber hinaus sogar am Regelenergiemarkt teilzunehmen und somit die Energiewende überregional zu unterstützen. KW - Bestandsanalyse KW - climate-neutral energy supply KW - CO2 reduction KW - CO2-Ein-sparung KW - Effizienzsteigerung KW - Energieein-sparung KW - Energiekonzept KW - Energy saving KW - Energy strategy KW - Increase in efficiency KW - klimaneutrale Energieversorgung KW - regenerative Energiequellen KW - Renewable energy sources KW - Status analysis KW - Triple Zero concept KW - Triple Zero-Konzept Y1 - 2018 U6 - https://doi.org/10.1002/bapi.201810024 VL - 40 IS - 4 SP - 169 EP - 179 PB - Ernst & Sohn, a Wiley brand ER - TY - CHAP A1 - Reindl, Andrea A1 - Meier, Hans A1 - Niemetz, Michael ED - Brinkmann, André ED - Karl, Wolfgang ED - Lankes, Stefan ED - Tomforde, Sven ED - Pionteck, Thilo ED - Trinitis, Carsten T1 - Scalable, Decentralized Battery Management System Based on Self-organizing Nodes T2 - Architecture of computing systems - ARCS 2020: 33rd international conference, Aachen, Germany, May 25-28, 2020, proceedings N2 - Due to the transition to renewable energy sources and the increasing share of electric vehicles and smart grids, batteries are gaining in importance. Battery management systems (BMSs) are required for optimal, reliable operation. In this paper, existing BMS topologies are presented and evaluated in terms of reliability, scalability and flexibility. The decentralisation of BMSs and associated advantages are shown. A scalable, reconfigurable BMS based on a distributed architecture of self-organized, locally controlled nodes is proposed. For distributed system control, producers, batteries and consumers each are equipped with a local microcontroller based control unit, which monitors and controls the local parameters with its own computing and communication resources. Features, advantages and challenges to overcome of the proposed approach are described. KW - Availability Decentralized control KW - Battery management systems KW - Controller Area Network KW - distributed management KW - fault tolerant control KW - Multi-microcomputer system KW - Reconfigurable architectures KW - Renewable energy sources KW - Scalability KW - Topology Y1 - 2020 SN - 978-3-030-52793-8 U6 - https://doi.org/10.1007/978-3-030-52794-5_13 VL - 12155 SP - 171 EP - 184 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Reindl, Andrea A1 - Meier, Hans A1 - Niemetz, Michael A1 - Park, Sangyoung T1 - Decentralized Battery Management System with Customized Hardware Components T2 - IEEE 19th Student Conference on Research and Development (SCOReD), Sustainable Engineering and Technology towards Industry Revolution: 23-25 Nov. 2021, Kota Kinabalu, Malaysia N2 - With an increasing number of sold electric vehicles (EVs), a large number of used batteries will be at disposal. How to deal with these resources is one of the major challenges in reducing the environmental impact of batteries throughout their entire life cycle. Heterogeneous cell parameters due to the different usage histories are a challenge for second-life use. The effort and cost of remanufacturing required to test and assemble a new battery pack is a further concern. Systems that combine battery packs/modules without full reassembly offer advantages such as cost and reusability. A decentralized battery management system (DBMS) provides a suitable architecture for such systems involving different types of batteries. In this paper, an architecture for a decentralized, battery state-dependent control is shown. The proposed DBMS supports various types of batteries, is scalable and flexibly adaptable for a wide range of applications. Despite the significant advantages, there are increased requirements to meet for the hardware implementation and the applied control strategies. Therefore, the necessary hardware components and their requirements are described and the hardware implementations are provided. KW - battery fitness KW - Battery management system KW - Battery management systems KW - bidirectional power flow KW - Computer architecture KW - Costs KW - DC-DC power converters KW - decentralized control KW - Electric vehicles KW - Hardware KW - load sharing KW - Microprocessors KW - Renewable energy sources KW - second life battery Y1 - 2021 U6 - https://doi.org/10.1109/SCOReD53546.2021.9652737 SP - 350 EP - 355 PB - IEEE ER - TY - CHAP A1 - Reindl, Andrea A1 - Meier, Hans A1 - Niemetz, Michael T1 - Software Framework for the Simulation of a Decentralized Battery Management System Consisting of Intelligent Battery Cells T2 - 2019 IEEE Student Conference on Research and Development (SCOReD), 15-17 Oct. 2019, Bandar Seri Iskandar, Malaysia N2 - Conventional battery management systems typically adopt hierarchical master-slave architectures. With regard to an uninterruptible power supply, the most significant disadvantage of central structures is the dependency of the errorfree function of the superior master board. The decentralized battery management system presented in this paper, consisting of consumers, generators and intelligent battery cells, is controlled without any central coordination authority. For this purpose, an intelligent control algorithm and a leader election algorithm are implemented on the microcontrollers of the battery cells. To test different control and election strategies, a software framework is presented for the complete simulation of the decentralized battery management system consisting of equal participants. KW - autonomous systems KW - Battery management system KW - decentralized control KW - distributed management KW - fault tolerant control KW - power system security KW - Renewable energy sources KW - uninterruptible power systems Y1 - 2019 U6 - https://doi.org/10.1109/SCORED.2019.8896284 SP - 75 EP - 80 ER -