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Study of optimal design of polygeneration systems in optimal control strategies

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  • Menon, Ramanunni P.
  • Paolone, Mario
  • Maréchal, François

Abstract

The concept of smart grids being developed involves interdependence between the electrical, thermal and material flows. Control strategies are required for the optimal operation of these modern grids. This paper studies the optimal design of multi-node microgrids integrating heat pumps and cogeneration units considering optimal predictive control strategies.

Suggested Citation

  • Menon, Ramanunni P. & Paolone, Mario & Maréchal, François, 2013. "Study of optimal design of polygeneration systems in optimal control strategies," Energy, Elsevier, vol. 55(C), pages 134-141.
    • Handle: RePEc:eee:energy:v:55:y:2013:i:c:p:134-141
    DOI: 10.1016/j.energy.2013.03.070
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Nikolaos Diangelakis & Christos Panos & Efstratios Pistikopoulos, 2014. "Design optimization of an internal combustion engine powered CHP system for residential scale application," Computational Management Science, Springer, vol. 11(3), pages 237-266, July.
    2. Li, Bei & Roche, Robin & Paire, Damien & Miraoui, Abdellatif, 2017. "Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation," Applied Energy, Elsevier, vol. 205(C), pages 1244-1259.
    3. Francesco Calise & Massimo Dentice D’Accadia, 2016. "Simulation of Polygeneration Systems," Energies, MDPI, vol. 9(11), pages 1-9, November.
    4. Mallikarjun, Sreekanth & Lewis, Herbert F., 2014. "Energy technology allocation for distributed energy resources: A strategic technology-policy framework," Energy, Elsevier, vol. 72(C), pages 783-799.
    5. Bruni, G. & Cordiner, S. & Mulone, V. & Sinisi, V. & Spagnolo, F., 2016. "Energy management in a domestic microgrid by means of model predictive controllers," Energy, Elsevier, vol. 108(C), pages 119-131.
    6. Wang, Haichao & Abdollahi, Elnaz & Lahdelma, Risto & Jiao, Wenling & Zhou, Zhigang, 2015. "Modelling and optimization of the smart hybrid renewable energy for communities (SHREC)," Renewable Energy, Elsevier, vol. 84(C), pages 114-123.
    7. Stojiljković, Mirko M. & Ignjatović, Marko G. & Vučković, Goran D., 2015. "Greenhouse gases emission assessment in residential sector through buildings simulations and operation optimization," Energy, Elsevier, vol. 92(P3), pages 420-434.
    8. Yang, Siyu & Yang, Qingchun & Qian, Yu, 2013. "A composite efficiency metrics for evaluation of resource and energy utilization," Energy, Elsevier, vol. 61(C), pages 455-462.
    9. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    10. Kiaee, Mehrdad & Tousi, A.M., 2021. "Vector-based deterioration index for gas turbine gas-path prognostics modeling framework," Energy, Elsevier, vol. 216(C).
    11. Li, Bei & Roche, Robin & Miraoui, Abdellatif, 2017. "Microgrid sizing with combined evolutionary algorithm and MILP unit commitment," Applied Energy, Elsevier, vol. 188(C), pages 547-562.
    12. Bracco, Stefano & Delfino, Federico & Ferro, Giulio & Pagnini, Luisa & Robba, Michela & Rossi, Mansueto, 2018. "Energy planning of sustainable districts: Towards the exploitation of small size intermittent renewables in urban areas," Applied Energy, Elsevier, vol. 228(C), pages 2288-2297.
    13. Calise, Francesco & de Notaristefani di Vastogirardi, Giulio & Dentice d'Accadia, Massimo & Vicidomini, Maria, 2018. "Simulation of polygeneration systems," Energy, Elsevier, vol. 163(C), pages 290-337.
    14. Jana, Kuntal & Ray, Avishek & Majoumerd, Mohammad Mansouri & Assadi, Mohsen & De, Sudipta, 2017. "Polygeneration as a future sustainable energy solution – A comprehensive review," Applied Energy, Elsevier, vol. 202(C), pages 88-111.
    15. Krzysztof Lalik & Mateusz Kozek & Szymon Podlasek & Rafał Figaj & Paweł Gut, 2021. "Q-Learning Neural Controller for Steam Generator Station in Micro Cogeneration Systems," Energies, MDPI, vol. 14(17), pages 1-13, August.
    16. Bracco, Stefano & Delfino, Federico & Pampararo, Fabio & Robba, Michela & Rossi, Mansueto, 2014. "A mathematical model for the optimal operation of the University of Genoa Smart Polygeneration Microgrid: Evaluation of technical, economic and environmental performance indicators," Energy, Elsevier, vol. 64(C), pages 912-922.
    17. Aste, Niccolò & Manfren, Massimiliano & Marenzi, Giorgia, 2017. "Building Automation and Control Systems and performance optimization: A framework for analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 313-330.
    18. Mirko M. Stojiljković & Mladen M. Stojiljković & Bratislav D. Blagojević, 2014. "Multi-Objective Combinatorial Optimization of Trigeneration Plants Based on Metaheuristics," Energies, MDPI, vol. 7(12), pages 1-28, December.

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