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Steam Storage Rankine Cycle for Unutilized Applications in Distributed High-Temperature Waste Heat Recovery

Author

Listed:
  • Florian Raab

    (Technische Hochschule Nürnberg Georg Simon Ohm, Distributed Energy Conversion and Storage, Fürther Str. 246b, 90429 Nürnberg, Germany)

  • Lennart Böse

    (Professorship for Fluid Systems Technology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstraße 4, 91058 Erlangen, Germany)

  • Harald Klein

    (Institute of Plant and Process Technology, Technische Universität München, Boltzmannstraße 15, 85748 Garching, Germany)

  • Frank Opferkuch

    (Technische Hochschule Nürnberg Georg Simon Ohm, Distributed Energy Conversion and Storage, Fürther Str. 246b, 90429 Nürnberg, Germany)

Abstract

In the light of increasingly valuable resources and a trend towards more efficient processes pushed by climate change, distributed Waste Heat Recovery (WHR) is an important element in the transformation of the energy supply. In recent years, however, WHR systems have often been optimized and implemented for steady-state applications. In this paper, dynamic system modeling and a Steam Rankine Cycle (SRC) pilot plant with 40 kW el are used to investigate applications unutilized thus far for the conversion of high-temperature waste heat into electricity using a shell boiler with 1.27 m 3 of liquid water for short-term energy storage. In addition to experimental investigations of the storage system as an Uninterruptible Power Supply (UPS) and the input and output of +/−100% electrical power peaks for grid-assistive operation, a control concept for the use of volatile waste heat is developed from a model-based controller design up to a Model Predictive Control (MPC) with the help of a dynamic system simulation. Based on the validated model and experimental measurement data, outlooks for concrete applications with higher storage capacity and power are provided.

Suggested Citation

  • Florian Raab & Lennart Böse & Harald Klein & Frank Opferkuch, 2024. "Steam Storage Rankine Cycle for Unutilized Applications in Distributed High-Temperature Waste Heat Recovery," Energies, MDPI, vol. 17(4), pages 1-26, February.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:4:p:920-:d:1339690
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    References listed on IDEAS

    as
    1. Pantaleo, Antonio M. & Fordham, Julia & Oyewunmi, Oyeniyi A. & De Palma, Pietro & Markides, Christos N., 2018. "Integrating cogeneration and intermittent waste-heat recovery in food processing: Microturbines vs. ORC systems in the coffee roasting industry," Applied Energy, Elsevier, vol. 225(C), pages 782-796.
    2. Nardin, Gioacchino & Meneghetti, Antonella & Dal Magro, Fabio & Benedetti, Nicole, 2014. "PCM-based energy recovery from electric arc furnaces," Applied Energy, Elsevier, vol. 136(C), pages 947-955.
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