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Real-time tool for management of smart polygeneration grids including thermal energy storage

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  • Ferrari, Mario L.
  • Pascenti, Matteo
  • Sorce, Alessandro
  • Traverso, Alberto
  • Massardo, Aristide F.

Abstract

The experimental plant developed by TPG for studies on distributed generation systems was used for tests on management improvement. The facility is based on two co-generation prime movers, a 100kWe gas turbine (mGT) and a 20kWe internal combustion engine (ICE) connected to an innovative thermal distribution grid. The piping layout was developed to obtain the highest flexibility level for connection with thermal energy storage devices. The resulting test rig constitutes an experimental hardware platform for assessing, on a real basis, the performance of different tools able to choose, in real-time mode, the “best” operative conditions. Therefore, a real-time software was developed to calculate marginal costs of plant operation and to improve the polygeneration grid management.

Suggested Citation

  • Ferrari, Mario L. & Pascenti, Matteo & Sorce, Alessandro & Traverso, Alberto & Massardo, Aristide F., 2014. "Real-time tool for management of smart polygeneration grids including thermal energy storage," Applied Energy, Elsevier, vol. 130(C), pages 670-678.
    • Handle: RePEc:eee:appene:v:130:y:2014:i:c:p:670-678
    DOI: 10.1016/j.apenergy.2014.02.025
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    3. Rong, Aiying & Lahdelma, Risto, 2016. "Role of polygeneration in sustainable energy system development challenges and opportunities from optimization viewpoints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 363-372.
    4. Tuballa, Maria Lorena & Abundo, Michael Lochinvar, 2016. "A review of the development of Smart Grid technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 710-725.
    5. Ferrari, M.L. & Cuneo, A. & Pascenti, M. & Traverso, A., 2017. "Real-time state of charge estimation in thermal storage vessels applied to a smart polygeneration grid," Applied Energy, Elsevier, vol. 206(C), pages 90-100.
    6. 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.
    7. di Gaeta, Alessandro & Reale, Fabrizio & Chiariello, Fabio & Massoli, Patrizio, 2017. "A dynamic model of a 100 kW micro gas turbine fuelled with natural gas and hydrogen blends and its application in a hybrid energy grid," Energy, Elsevier, vol. 129(C), pages 299-320.
    8. Konečná, Eva & Teng, Sin Yong & Máša, Vítězslav, 2020. "New insights into the potential of the gas microturbine in microgrids and industrial applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    9. Ferrari, Lorenzo & Esposito, Fabio & Becciani, Michele & Ferrara, Giovanni & Magnani, Sandro & Andreini, Mirko & Bellissima, Alessandro & Cantù, Matteo & Petretto, Giacomo & Pentolini, Massimo, 2017. "Development of an optimization algorithm for the energy management of an industrial Smart User," Applied Energy, Elsevier, vol. 208(C), pages 1468-1486.
    10. Vassileva, Iana & Campillo, Javier & Schwede, Sebastian, 2017. "Technology assessment of the two most relevant aspects for improving urban energy efficiency identified in six mid-sized European cities from case studies in Sweden," Applied Energy, Elsevier, vol. 194(C), pages 808-818.
    11. Miguel Carpintero-Rentería & David Santos-Martín & Mónica Chinchilla & David Rebollal, 2019. "Microgrid Infrastructure Compendium Analysis with a Model Creation Tool and Guideline Based on Machine Learning Techniques," Energies, MDPI, vol. 12(23), pages 1-18, November.
    12. Ferrari, Mario L. & Traverso, Alberto & Massardo, Aristide F., 2016. "Smart polygeneration grids: experimental performance curves of different prime movers," Applied Energy, Elsevier, vol. 162(C), pages 622-630.
    13. Mahmood, Mariam & Traverso, Alberto & Traverso, Alberto Nicola & Massardo, Aristide F. & Marsano, Davide & Cravero, Carlo, 2018. "Thermal energy storage for CSP hybrid gas turbine systems: Dynamic modelling and experimental validation," Applied Energy, Elsevier, vol. 212(C), pages 1240-1251.
    14. Mahani, Khashayar & Farzan, Farbod & Jafari, Mohsen A., 2017. "Network-aware approach for energy storage planning and control in the network with high penetration of renewables," Applied Energy, Elsevier, vol. 195(C), pages 974-990.

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