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Experimental and Numerical Study of a Microcogeneration Stirling Unit under On–Off Cycling Operation

Author

Listed:
  • Gianluca Valenti

    (Department of Energy, Politecnico di Milano University, Via Lambruschini 4/A, 20156 Milano, Italy)

  • Aldo Bischi

    (Center for Energy Science and Technology, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, 121205 Moscow, Russia)

  • Stefano Campanari

    (Department of Energy, Politecnico di Milano University, Via Lambruschini 4/A, 20156 Milano, Italy)

  • Paolo Silva

    (Department of Energy, Politecnico di Milano University, Via Lambruschini 4/A, 20156 Milano, Italy)

  • Antonino Ravidà

    (Department of Energy, Politecnico di Milano University, Via Lambruschini 4/A, 20156 Milano, Italy)

  • Ennio Macchi

    (Department of Energy, Politecnico di Milano University, Via Lambruschini 4/A, 20156 Milano, Italy)

Abstract

Stirling units are a viable option for micro-cogeneration applications, but they operate often with multiple daily startups and shutdowns due to the variability of load profiles. This work focused on the experimental and numerical study of a small-size commercial Stirling unit when subjected to cycling operations. First, experimental data about energy flows and emissions were collected during on–off operations. Second, these data were utilized to tune an in-house code for the economic optimization of cogeneration plant scheduling. Lastly, the tuned code was applied to a case study of a residential flat in Northern Italy during a typical winter day to investigate the optimal scheduling of the Stirling unit equipped with a thermal storage tank of diverse sizes. Experimentally, the Stirling unit showed an integrated electric efficiency of 8.9% (8.0%) and thermal efficiency of 91.0% (82.2%), referred to as the fuel lower and, between parenthesis, higher heating value during the on–off cycling test, while emissions showed peaks in NOx and CO up to 100 ppm but shorter than a minute. Numerically, predictions indicated that considering the on–off effects, the optimized operating strategy led to a great reduction of daily startups, with a number lower than 10 per day due to an optimal thermal storage size of 4 kWh. Ultimately, the primary energy saving was 12% and the daily operational cost was 2.9 €/day.

Suggested Citation

  • Gianluca Valenti & Aldo Bischi & Stefano Campanari & Paolo Silva & Antonino Ravidà & Ennio Macchi, 2021. "Experimental and Numerical Study of a Microcogeneration Stirling Unit under On–Off Cycling Operation," Energies, MDPI, vol. 14(4), pages 1-14, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:801-:d:492463
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    References listed on IDEAS

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    1. Lu, Yuehong & Wang, Shengwei & Sun, Yongjun & Yan, Chengchu, 2015. "Optimal scheduling of buildings with energy generation and thermal energy storage under dynamic electricity pricing using mixed-integer nonlinear programming," Applied Energy, Elsevier, vol. 147(C), pages 49-58.
    2. Wojciech Uchman & Janusz Kotowicz & Leszek Remiorz, 2020. "An Experimental Data-Driven Model of a Micro-Cogeneration Installation for Time-Domain Simulation and System Analysis," Energies, MDPI, vol. 13(11), pages 1-26, June.
    3. González-Pino, I. & Pérez-Iribarren, E. & Campos-Celador, A. & Las-Heras-Casas, J. & Sala, J.M., 2015. "Influence of the regulation framework on the feasibility of a Stirling engine-based residential micro-CHP installation," Energy, Elsevier, vol. 84(C), pages 575-588.
    4. Wakui, Tetsuya & Kawayoshi, Hiroki & Yokoyama, Ryohei & Aki, Hirohisa, 2016. "Operation management of residential energy-supplying networks based on optimization approaches," Applied Energy, Elsevier, vol. 183(C), pages 340-357.
    5. Valenti, G. & Silva, P. & Fergnani, N. & Campanari, S. & Ravidà, A. & Di Marcoberardino, G. & Macchi, E., 2015. "Experimental and numerical study of a micro-cogeneration Stirling unit under diverse conditions of the working fluid," Applied Energy, Elsevier, vol. 160(C), pages 920-929.
    6. Bischi, Aldo & Taccari, Leonardo & Martelli, Emanuele & Amaldi, Edoardo & Manzolini, Giampaolo & Silva, Paolo & Campanari, Stefano & Macchi, Ennio, 2014. "A detailed MILP optimization model for combined cooling, heat and power system operation planning," Energy, Elsevier, vol. 74(C), pages 12-26.
    7. Carlos Ulloa & José Luis Míguez & Jacobo Porteiro & Pablo Eguía & Antón Cacabelos, 2013. "Development of a Transient Model of a Stirling-Based CHP System," Energies, MDPI, vol. 6(7), pages 1-19, June.
    8. Lucrezia Manservigi & Mattia Cattozzo & Pier Ruggero Spina & Mauro Venturini & Hilal Bahlawan, 2020. "Optimal Management of the Energy Flows of Interconnected Residential Users," Energies, MDPI, vol. 13(6), pages 1-21, March.
    9. Allan, Grant & Eromenko, Igor & Gilmartin, Michelle & Kockar, Ivana & McGregor, Peter, 2015. "The economics of distributed energy generation: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 543-556.
    10. Wang, Kai & Sanders, Seth R. & Dubey, Swapnil & Choo, Fook Hoong & Duan, Fei, 2016. "Stirling cycle engines for recovering low and moderate temperature heat: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 89-108.
    11. Wang, Kai & Dubey, Swapnil & Choo, Fook Hoong & Duan, Fei, 2016. "A transient one-dimensional numerical model for kinetic Stirling engine," Applied Energy, Elsevier, vol. 183(C), pages 775-790.
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    Cited by:

    1. Alfredo Gimelli & Massimiliano Muccillo, 2021. "Development of a 1 kW Micro-Polygeneration System Fueled by Natural Gas for Single-Family Users," Energies, MDPI, vol. 14(24), pages 1-21, December.

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