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Energies 2017, 10(10), 1659; https://doi.org/10.3390/en10101659

Dynamic Modeling and Simulation of Deep Geothermal Electric Submersible Pumping Systems

Munich School of Engineering, Research Group “Control of Renewable Energy Systems”, Technical University of Munich, Lichtenbergstraße 4a, 85748 Garching, Germany
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Received: 21 September 2017 / Revised: 10 October 2017 / Accepted: 13 October 2017 / Published: 21 October 2017
(This article belongs to the Special Issue Low Enthalpy Geothermal Energy)
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Abstract

Deep geothermal energy systems employ electric submersible pumps (ESPs) in order to lift geothermal fluid from the production well to the surface. However, rough downhole conditions and high flow rates impose heavy strain on the components, leading to frequent failures of the pump system. As downhole sensor data is limited and often unrealible, a detailed and dynamical model system will serve as basis for deeper understanding and analysis of the overall system behavior. Furthermore, it allows to design model-based condition monitoring and fault detection systems, and to improve controls leading to a more robust and efficient operation. In this paper, a detailed state-space model of the complete ESP system is derived, covering the electrical, mechanical and hydraulic subsystems. Based on the derived model, the start-up phase of an exemplary yet realistic ESP system in the Megawatt range—located at a setting depth of 950 m and producing geothermal fluid of 140 C temperature at a rate of 0.145 m 3 s 1 —is simulated in MATLAB/Simulink. The simulation results show that the system reaches a stable operating point with realistic values. Furthermore, the effect of self-excitation between the filter capacitor and the motor inductor can clearly be observed. A full set of parameters is provided, allowing for direct model implementation and reproduction of the presented results. View Full-Text
Keywords: deep geothermal; energy, system; artificial lift; electric submersible pump; ESP; simulation; model-based; condition monitoring; control; induction machine; state-space, modeling deep geothermal; energy, system; artificial lift; electric submersible pump; ESP; simulation; model-based; condition monitoring; control; induction machine; state-space, modeling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Kullick, J.; Hackl, C.M. Dynamic Modeling and Simulation of Deep Geothermal Electric Submersible Pumping Systems. Energies 2017, 10, 1659.

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