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Current Projects

  • HEAP - Holistic optimization of electric power trains in pump applications
  • WINDegration – Control and management of wind farms for the integration in grids with low inertia under consideration of the interactions between the individual power plants
  • inVETra - Smart connecting elements in wind turbine supporting structures and drive train
  • SmartWind - Advanced tools to optimise operation and maintenance activities in wind farms
  • InnaMoRuhr - Concept of integrated, sustainable mobility for the University Alliance Ruhr
  • KoMoM - Konzepte zur sicheren Inbetriebnahme, erweiterten Nutzung und umfassenden Überwachung modularer Hochspannungs-Mehrpunktstromrichter
  • SWiPLab - Smart Windpark Laboratory
  • Membership in the competence center hydraulic machinery of the Ruhr-University Bochum
  • High-precision current sensor with a novel modulation method
  • TSA­E­SA - HIL-Test­sys­tem für SPS-Steue­rungs­sys­te­me

  • HEAP - Holistic optimization of electric power trains in pump applications

    Due to the increasing energy demand as well as the higher relevance of increased efficiency of electric drives to reduce the global CO2 emissions, the development of optimized drive trains in all industrial sectors becomes more important. Here it is crucial that not only the individual components of a system are optimized, but also a holistic system view is carried out. Based on this it is the best way to develop a system, which represents the overall optimum in terms of efficiency, costs as well as the resource demands.


    HEAP considers the development of a simulation tool for the holistic optimization of electric powertrains in pump applications for a wide power spectrum. With the help of automatic variations of specific selected parameters, a technical as well as an economical evaluation of the electrical drive train can be achieved. The simulation tool sould be modular in order to allow the simplest possible integration of subsystems. As a further advantage the quick integration of new technologies can be achieved, so that product innovations are quickly and targeted paossible.


    The goal of the development of such a simulation tool is, that possible energy optimisations can be examined. This results in an easier contorl oft he adjustment of individual components fort he development, whereby the effects on the overall system in terms of efficiency, manufacturing and operating costs can be made visible.


    In a first konservative estimation a reduction of 7.5 TWh or 4 billion t of CO2 can be achieved in medium term with the help oft he results from this project.


    The project is funded as a part oft he 7th Energy Research Program of the Federal Ministry for Economic Affairs and Energy (funding no. 03EN2019B). The project partners are WILO SE and the FH Münster. The planned end oft he project ist he end of April 2024.


    HEAP_Banner_klein_Website

    WINDegration - Control and management of wind farms for the integration in grids with low inertia under consideration of the interactions between the individual power plants

    A fast and extensive shift towards renewable energy sources- the target to achieve a decarbonized electric energy supply that is independent from fossil fuels is clearly defined. Onshore and offshore wind farms play a central role among these renewable energy sources. However, it becomes increasingly clear that their initial grid integration approach severely affects the network’s stability. Conventional power plants so far ensured stability through their inertial mass and respective control strategies to support grid frequency and voltage. The gradual decommissioning of these central power plants and their replacement with various decentral photovoltaic systems and wind farms motivate the requirements on wind farms to also fulfill ancillary grid services.


    Control mechanisms for the power converters of the generator system allow an inertia emulation that utilizes the kinetic energy of the mechanical drive train of the wind turbines as well as a precise reactive power supply for a voltage support and a deloaded operation to provide power reserves to balance temporary generation to load deviations. These grid support measures inevitably have an impact on the operational behavior. On the one hand, additional loads in the drive train affect the estimated lifetime of specific drive train components, whereas increased wakes caused by the wind rotor on the other hand reduce the available power of downstream positioned wind turbines. As a result, increasing the infeed for frequency support may cause unintended power drops in other turbines positioned downstream.


    To cope with these complex interconnections, in the project WINDegration a global optimization of the wind farm operation is targeted. Main goals are firstly to achieve a maximum energy yield during normal operation with a provision of the required power reserve, and secondly in case of a grid event to provide a dynamic, precise and reliable grid frequency and voltage support. Results extracted from simulation studies are validated in a second step with experimental investigations using the wind farm laboratory SWiPLab.


    The project with a duration of three years is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under project number 501898183.

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    Smart connecting elements in wind turbine supporting structures and drive train

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    In the joint project inVETra, an innovative Condition Monitoring System (CMS) based on a novel sensory system will be developed for its application in wind turbines. The key innovation lies in the development of sensory bolt with a dedicated high-dynamic and adaptive CMS. Those sensory bolts are standardized bolts equipped with signal conversion and processing electronics.

    As a fundamental connecting element, sensory bolts will be integrated in supporting structures as well as in the mechanical drive train of wind turbines. At specific optimal locations, regular bolted connections are substitute by sensory ones. They provide high-resolution measurements of structural loads and allows monitoring of the bolted connections. By using the CMS, which is specifically designed for the novel sensor system, detailed information about resulting structural loads are determined and reconstructed, so that condition of critical supporting structures and drive train components can be monitored.

    A dynamic model of the entire wind turbine will be continually updated and adapted based on measured or determined state variables. For this purpose, high-dynamic and adaptive model and observer structures are applied to determine emerging structural loads based on high-resolution data from the smart connecting elements. The impact of wind and power grid conditions are considered. The adaptive model and observer structures of the CMS feature early fault detection and estimation of remaining lifetime of the plant and components. The use of sensory bolts together with a highly adaptive and holistic CMS aims to achieve an extended, low-maintenance and more cost-efficient plant operation. In the scope of this sub-project, the innovative CMS will be designed, implemented, and validated in laboratory-scale experiments.

    The joint project is supported by the Federal Ministry for Economic Affairs and Climate Action (funding no. 03EE3042).


    BMWi FörderhinweisProject website: inVETra



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    SmartWind - Advanced tools to optimise operation and maintenance activities in wind farms

    The wind energy sector with its increasing number and size of wind farms becomes more and more important- in Germany and all over the world. Due to the rising share within the electric power supply, besides the energy yield special emphasis is also placed on the minimisation of maintenance costs.

    To achieve an efficient and reliable operation and maintenance of a wind farm, an international consortium develops an AI-based “Multi Criteria Decision Support System” within the project SmartWind. Therein, all relevant parameters and measurement data of the wind farm are combined and analysed to reconstruct the current condition of all wind farm assets. Based on this information, the optimal operation and maintenance interval of the assets can be predicted. Furthermore, through an intelligent coordination of operation of the power plants, electrical and aerodynamic interactions caused by wake effects can be minimised.

    SmartWind is a project labelled by EUROGIA2020. EUROGIA2020’s goal is to support and promote international partnerships developing innovative projects in low-carbon energy technologies. The consortium of SmartWind with the SME ENFORMA as international coordinator is a well-balanced industry-led consortium from both ICT (ISOTROL, ENFORMA and NETAŞ), and O&M wind (ZORLU ENERJİ) complemented with partners from the academia and technology centres (RUB and TECNALIA).


    The objective of the German subproject of SmartWind is the development of an advanced wind farm control with different methods of active wake control using AI-algorithms to achieve an optimisation of energy yield and grid quality as well as a reduction of mechanical stress of the wind farm assets.

    The German subproject “Conception and realisation of an advanced wind farm control with active wake control and AI-based algorithms” is funded by the Federal Ministry for Economic Affairs and Climate Action with the project number “03EE2020“.



    Contact: Katharina Günther, M.Sc.
    Project website: https://smart-wind.eu



    SmartWind Flyer German   (25.8 MB)

    SmartWind Flyer English   (25.8 MB)

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    Concept of integrated, sustainable mobility for the University Alliance Ruhr

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    In a multidisciplinary consortium of social sciences, economics and engineering, researchers from the three Ruhr Universities are investigating the question of how mobility in the Ruhr Area can be made sustainable. The project will develop a concept of integrated, sustainable mobility for the University Alliance Ruhr and test it in a field study.

    The aim is to improve the transport links between the four locations of the University Alliance Ruhr (UA Ruhr), Duisburg, Essen, Bochum and Dortmund, to close gaps in the range of services on offer and thus bring about a lasting change in the mobility behaviour of students and employees.

    The plan is to survey mobility requirements and develop scenarios which will be tested in a simulator and finally tested in real life. For this purpose, locally emission-free technologies, e.g. electric shuttles, but also on-demand services and other forms of new mobility will be used.


    Contact: Dr.-Ing. Philipp Spichartz



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    KoMoM entwickelt Konzepte zur sicheren Inbetriebnahme, erweiterten Nutzung und umfassenden Überwachung modularer Hochspannungs-Mehrpunktstromrichter z.B. für ein Multiterminal-DC-Transportnetz. Dazu werden innovative Mess-, Analyse- und Regelungsverfahren mit moderner Rechnertechnik, leistungsfähigen programmierbaren Logikbausteinen und neuesten Zeitreihenmodellen verknüpft. Messungen unter Einbeziehung eines vorhandenen, derzeit einzigartigen, Multiterminal-DC-Transportnetz-Versuchsstandes dienen der Verifikation. Der Versuchsstand besteht aus vier Mehrpunktstromrichtern auf Basis von Vollbrückenmodulen in den Stromrichterzweigen und beherrscht DC-Kurzschlüsse im geregelten Betrieb. Er entstammt einem Projekt mit der Firma Amprion und emuliert die erste im Netzentwicklungsplan vorgesehene Hochspannungs-Gleichstrom-Übertragungsstrecke (HGÜ) „Ultranet“ (Amprion, TransnetBW).

    Kurzschlussbeherrschung und -abschaltung im geregelten Betrieb erfordern hochgenaue DC-fähige Strommesstechnik auf Höchstspannungsniveau. Mess- und Regelungskonzepte hierfür werden im Projekt erarbeitet bzw. adaptiert.

    Dynamische Wirk- und Blindleistungsstellung sowie Oberschwingungskompensation sind höchst relevante Netzdienstleistungen. Realisierungskonzepte, Möglichkeiten und Grenzen werden erarbeitet und erforscht. Auch die Interaktion von Stromrichtern und deren Regelung ist für stabilen Betrieb entscheidend. Das Projekt erarbeitet Beschreibungen für Stromrichter in unterschiedlichen Spannungsebenen, kombiniert diese mit einer geeigneten stromrichternahen Regelung und einer Anlagencharakteristik und leitet daraus Möglichkeiten und Grenzen des Zusammenspiels von Stromrichtern im Netz ab.

    Die komplexe Stromrichtertopologie und die herausfordernde Mess- und Regelungstechnik stellen höchste Anforderungen an Inbetriebnahmekonzepte – heutige Methoden sind nicht wirtschaftlich und risikoreich. Erweiterte, spezielle Hardware-In-The-Loop (HIL)-Verfahren zur Vorabverifikation werden erarbeitet.

    Die Komplexität drückt sich auch in einer Vielzahl von Messgrößen aus: An realen Anlagen fallen mehrere tausend Messdaten mehrere hundert Mal pro Sekunde an und sind zu bewerten. Dieses „Big Data“-Problem wird mit Blick auf Zustandsmonitoring und Ereignisarchivierung durch eine neuartige Ausrichtung aktueller Methoden der Zeitreihenanalyse angegangen.

    Projektabschluss: 09/2020

    Weitere Informationen

    Ansprechpartner: M.Sc. Thomas Stoetzel
    Kontakt: office@enesys.rub.de

    Foerderung

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    Smart Windpark Laboratory

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    With the Paris Agreement in 2015, the German Federal Government has acknowledged the global challenges of climate change and made the commitment to contribute to an environment-friendly electricity supply by decarbonization. A sustainable solution can only be achieved by utilizing renewable energy sources. Due to the technological advances, wind power plants are one of the promising technologies to deal with the social challenges of climate change and contribute to a secure and reliably energy supply.

    Under the supervision of Prof. Dr.-Ing. Constantinos Sourkounis, in this project the first stage of the research infrastructure “Smart Windpark Laboratory” (SWiPLab) will be conceptualized, build up and validated with the main objective to allow new investigation opportunities for an implementation-oriented research in the field of wind energy.

    More information

    This project is funded by the European Union and the German state of North Rhine-Westphalia in the frame of the funding competition “Forschungsinfrastrukturen” using funds from the European Regional Development Fund (ERDF) 2014-2020 “Investment in growth and employment”.


    Mail contact: office@enesys.rub.de



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    Membership in the competence center for hydraulic machinery of the Ruhr-University Bochum


    The Institute for Energy Systems and Power Mechatronics is a member of the competence center hydraulic machinery, a research network of the Ruhr-University Bochum. As part of this membership, EneSys is doing research with the drive system and the control of hydraulic machinery.

    The operation of pumps is characterized by sophisticated thermal and chemical environments. This concerns the pumped medium because this can have a temperature above 100 ° C and aggressive chemical substances, on the other hand, the environmental conditions of the installation are often out of spec. Nevertheless, a reliable and efficient operation must be guaranteed. In addition to the efficiency further boundary conditions have to be considered as a low-noise operation and extreme demands on the part of the supply mains. Among these, dynamically changing, conditions the design and interpretation of an efficient and cost-effective drive unit a technical challenge.

    The general research in the field of drive technology for pump is driven by the optimization of the subsystems in the static nominal operating ranges. The optimization refers not only to increase efficiency but reflects the tension between efficiency, reliability and cost, which includes aspects such as manufacturability, reduction of required sensors etc..

    As part of the KHS an integrated research approach is followed. The optimization and increased efficiency of the overall system is paramount. These subsystems are optimized to account for interactions with each other in the overall system and respect to the overall objectives. The overall objectives are optimized.
    In the project plan optimization potential in the area of the drive system are explored. They are over the entire operating range, in particular also the partial load operation is identified. Approaches to achieve a cost-optimal utilization of these potentials in compliance with the above requirements, yet safe operation under unsafe conditions.


    Contact: Prof. Dr.-Ing. Sourkounis



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    High-precision current sensor with a novel modulation method

    The focus of this project is to develop a highly accurate current sensor with a novel modulation method. The ASIC 'IHM-A-1500'will be used as the measurement unit from the Company Isabellenhütte. This chip uses the measured voltage drop over a shunt for the current measurement. The resolution of the measured current is 16 bits. This 16-bit value is coded by means of a modulation unit into a special PWM signal, where the pulse width and the period are variable. The method for encoding the signal is called as F-PWM. Because of the simple digitization of the measured signal, it can be demodulated with each microcontroller-based measurement unit.


    Contact: Dr.-Ing. Abdoulkarim Bouabana




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    TSA­E­SA - HIL-Test­sys­tem für SPS-Steue­rungs­sys­te­me

    Das Pro­jekt hat das Ziel, In­be­trieb­nah­men von SPS-ge­steu­er­ten In­dus­trie­an­la­gen zu op­ti­mie­ren. Im Rah­men des Pro­jek­tes wird eine Soft­ware zur Hard­ware-in-the-lo­op-Prü­fung von SPS-Steue­rungs­sys­te­men ent­wi­ckelt. Die zu steu­ern­de An­la­ge wird in einer Si­mu­la­ti­ons­um­ge­bung nach­ge­bil­det und mit dem zu prü­fen­den SPS-Sys­tem ver­bun­den. So kann das SPS-Sys­tem auf kor­rek­te Funk­tio­na­li­tät ge­prüft wer­den schon bevor die An­la­ge fer­tig ge­stellt ist. Es kön­nen ge­zielt Si­cher­heits­funk­tio­nen ge­tes­tet und eva­lu­iert wer­den, die sonst eine Schä­di­gung oder Zer­stö­rung der An­la­ge zur Folge hät­ten. Dies spart Zeit und Kos­ten für die In­be­trieb­nah­me, au­ßer­dem ist die Feh­ler­su­che und –be­he­bung leicht durch­zu­füh­ren. Das Si­mu­la­ti­ons­sys­tem ist frei kon­fi­gu­rier­bar und kann so an an­de­re An­la­gen­ty­pen an­ge­passt wer­den. Das Pro­jekt er­laubt eine kos­ten­ef­fi­zi­en­te und schnel­le In­be­trieb­nah­me von SPS-ge­steu­er­ten An­la­gen.


    Contact: Prof. Dr.-Ing. Sourkounis



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