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Smart polygeneration grids: experimental performance curves of different prime movers

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  • Ferrari, Mario L.
  • Traverso, Alberto
  • Massardo, Aristide F.

Abstract

This paper shows the performance curves obtained with an experimental campaign on the following different prime movers: a 100kW microturbine, a 20kW internal combustion engine, a 450kW SOFC-based hybrid system and a 100kW absorption chiller. While the size related to the microturbine and the engine are actual electrical power values, the hybrid system size is an electrical virtual power (an emulator rig was used for this plant) and the chiller value is a cooling thermal power. These experimental results were obtained with a smart polygeneration facility installed in the Innovative Energy Systems Laboratory by the Thermochemical Power Group of the University of Genoa. This facility was designed to perform tests on smart grids equipped with different generation technologies to develop and improve innovative control and optimization tools. The performance curves were obtained with two different approaches: tests on real prime movers (for the microturbine, the engine and the chiller) or measurements on an emulator rig (for the hybrid system). In this second case, the tests were carried out using an experimental facility based on the coupling of a second microturbine with a modular vessel. A real-time simulation software was used for components not physically present in the experimental plant. These results are a significant improvement in comparison with the available data, because experimental results are presented for different prime movers in different operative conditions (both design and part-load operations). Moreover, since both manufacturers and users are not usually able to control air inlet temperature, special attention was devoted to the ambient temperature impact on the 100kW microturbine because this property has a strong influence on the performance of this machine. For this reason, empirical correlations on the ambient temperature effect were obtained from the experiments with the objective to perform an easy implementation of the optimization tools. Experimental performance curves (including several off-design conditions) are essential for smart grid management because (if they are implemented in optimization tools) they allow to find real optimal solutions (while tools based on linear or calculated correlations can obtain results affected by significant errors).

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:162:y:2016:i:c:p:622-630
    DOI: 10.1016/j.apenergy.2015.10.144
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    References listed on IDEAS

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    1. Bruno, Joan Carles & Ortega-López, Víctor & Coronas, Alberto, 2009. "Integration of absorption cooling systems into micro gas turbine trigeneration systems using biogas: Case study of a sewage treatment plant," Applied Energy, Elsevier, vol. 86(6), pages 837-847, June.
    2. Wang, Junye, 2015. "Barriers of scaling-up fuel cells: Cost, durability and reliability," Energy, Elsevier, vol. 80(C), pages 509-521.
    3. Dalla Rosa, A. & Christensen, J.E., 2011. "Low-energy district heating in energy-efficient building areas," Energy, Elsevier, vol. 36(12), pages 6890-6899.
    4. Lira-Barragán, Luis Fernando & Ponce-Ortega, José María & Serna-González, Medardo & El-Halwagi, Mahmoud M., 2014. "Optimal design of process energy systems integrating sustainable considerations," Energy, Elsevier, vol. 76(C), pages 139-160.
    5. 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.
    6. Ferrari, Mario L. & Pascenti, Matteo & Traverso, Alberto N. & Massardo, Aristide F., 2012. "Hybrid system test rig: Chemical composition emulation with steam injection," Applied Energy, Elsevier, vol. 97(C), pages 809-815.
    7. Caresana, F. & Pelagalli, L. & Comodi, G. & Renzi, M., 2014. "Microturbogas cogeneration systems for distributed generation: Effects of ambient temperature on global performance and components’ behavior," Applied Energy, Elsevier, vol. 124(C), pages 17-27.
    8. Ferrari, Mario L., 2015. "Advanced control approach for hybrid systems based on solid oxide fuel cells," Applied Energy, Elsevier, vol. 145(C), pages 364-373.
    9. Zhang, Jianyun & Liu, Pei & Zhou, Zhe & Ma, Linwei & Li, Zheng & Ni, Weidou, 2014. "A mixed-integer nonlinear programming approach to the optimal design of heat network in a polygeneration energy system," Applied Energy, Elsevier, vol. 114(C), pages 146-154.
    10. Al-attab, K.A. & Zainal, Z.A., 2015. "Externally fired gas turbine technology: A review," Applied Energy, Elsevier, vol. 138(C), pages 474-487.
    11. Salomón, Marianne & Savola, Tuula & Martin, Andrew & Fogelholm, Carl-Johan & Fransson, Torsten, 2011. "Small-scale biomass CHP plants in Sweden and Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4451-4465.
    12. Fragaki, Aikaterini & Andersen, Anders N. & Toke, David, 2008. "Exploration of economical sizing of gas engine and thermal store for combined heat and power plants in the UK," Energy, Elsevier, vol. 33(11), pages 1659-1670.
    13. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2011. "Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3480-3500.
    14. Bakalis, Diamantis P. & Stamatis, Anastassios G., 2013. "Incorporating available micro gas turbines and fuel cell: Matching considerations and performance evaluation," Applied Energy, Elsevier, vol. 103(C), pages 607-617.
    15. Jayawardena, A.V. & Meegahapola, L.G. & Robinson, D.A. & Perera, S., 2015. "Microgrid capability diagram: A tool for optimal grid-tied operation," Renewable Energy, Elsevier, vol. 74(C), pages 497-504.
    16. Ferrari, Mario L. & Massardo, Aristide F., 2013. "Cathode–anode side interaction in SOFC hybrid systems," Applied Energy, Elsevier, vol. 105(C), pages 369-379.
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    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.
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