IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i4p801-d492463.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/4/801/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/4/801/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhu, Shunmin & Yu, Guoyao & Liang, Kun & Dai, Wei & Luo, Ercang, 2021. "A review of Stirling-engine-based combined heat and power technology," Applied Energy, Elsevier, vol. 294(C).
    2. Uchman, Wojciech & Kotowicz, Janusz & Li, Kin Fun, 2021. "Evaluation of a micro-cogeneration unit with integrated electrical energy storage for residential application," Applied Energy, Elsevier, vol. 282(PA).
    3. Bartela, Łukasz & Kotowicz, Janusz & Dubiel-Jurgaś, Klaudia, 2018. "Investment risk for biomass integrated gasification combined heat and power unit with an internal combustion engine and a Stirling engine," Energy, Elsevier, vol. 150(C), pages 601-616.
    4. 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.
    5. Ahmed, Fawad & Zhu, Shunmin & Yu, Guoyao & Luo, Ercang, 2022. "A potent numerical model coupled with multi-objective NSGA-II algorithm for the optimal design of Stirling engine," Energy, Elsevier, vol. 247(C).
    6. Pablo Jimenez Zabalaga & Evelyn Cardozo & Luis A. Choque Campero & Joseph Adhemar Araoz Ramos, 2020. "Performance Analysis of a Stirling Engine Hybrid Power System," Energies, MDPI, vol. 13(4), pages 1-38, February.
    7. Kanbur, Baris Burak & Xiang, Liming & Dubey, Swapnil & Choo, Fook Hoong & Duan, Fei, 2018. "Finite sum based thermoeconomic and sustainable analyses of the small scale LNG cold utilized power generation systems," Applied Energy, Elsevier, vol. 220(C), pages 944-961.
    8. Hu, J.Y. & Luo, E.C. & Dai, W. & Zhang, L.M., 2017. "Parameter sensitivity analysis of duplex Stirling coolers," Applied Energy, Elsevier, vol. 190(C), pages 1039-1046.
    9. Chahartaghi, Mahmood & Sheykhi, Mohammad, 2019. "Energy, environmental and economic evaluations of a CCHP system driven by Stirling engine with helium and hydrogen as working gases," Energy, Elsevier, vol. 174(C), pages 1251-1266.
    10. Masoumi, A.P. & Tavakolpour-Saleh, A.R., 2020. "Experimental assessment of damping and heat transfer coefficients in an active free piston Stirling engine using genetic algorithm," Energy, Elsevier, vol. 195(C).
    11. Remiorz, Leszek & Kotowicz, Janusz & Uchman, Wojciech, 2018. "Comparative assessment of the effectiveness of a free-piston Stirling engine-based micro-cogeneration unit and a heat pump," Energy, Elsevier, vol. 148(C), pages 134-147.
    12. Kotowicz, Janusz & Uchman, Wojciech, 2021. "Analysis of the integrated energy system in residential scale: Photovoltaics, micro-cogeneration and electrical energy storage," Energy, Elsevier, vol. 227(C).
    13. Zhu, Shunmin & Yu, Guoyao & O, Jongmin & Xu, Tao & Wu, Zhanghua & Dai, Wei & Luo, Ercang, 2018. "Modeling and experimental investigation of a free-piston Stirling engine-based micro-combined heat and power system," Applied Energy, Elsevier, vol. 226(C), pages 522-533.
    14. Kanbur, Baris Burak & Xiang, Liming & Dubey, Swapnil & Choo, Fook Hoong & Duan, Fei, 2017. "Thermoeconomic and environmental assessments of a combined cycle for the small scale LNG cold utilization," Applied Energy, Elsevier, vol. 204(C), pages 1148-1162.
    15. Tian, Zhe & Niu, Jide & Lu, Yakai & He, Shunming & Tian, Xue, 2016. "The improvement of a simulation model for a distributed CCHP system and its influence on optimal operation cost and strategy," Applied Energy, Elsevier, vol. 165(C), pages 430-444.
    16. Walden, Jasper V.M. & Bähr, Martin & Glade, Anselm & Gollasch, Jens & Tran, A. Phong & Lorenz, Tom, 2023. "Nonlinear operational optimization of an industrial power-to-heat system with a high temperature heat pump, a thermal energy storage and wind energy," Applied Energy, Elsevier, vol. 344(C).
    17. 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.
    18. Xiao, Lei & Luo, Kaiqi & Hu, Jianying & Jia, Zilong & Chen, Geng & Xu, Jingyuan & Luo, Ercang, 2023. "Transient and steady performance analysis of a free-piston Stirling generator," Energy, Elsevier, vol. 273(C).
    19. Shang, Ce & Srinivasan, Dipti & Reindl, Thomas, 2017. "Generation and storage scheduling of combined heat and power," Energy, Elsevier, vol. 124(C), pages 693-705.
    20. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:801-:d:492463. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.