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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

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  • di Gaeta, Alessandro
  • Reale, Fabrizio
  • Chiariello, Fabio
  • Massoli, Patrizio

Abstract

The paper deals with the development of a dynamic model of a commercial 100 kW Micro Gas Turbine (MGT) fuelled with mixtures of standard (i.e. natural gas or methane) and alternative fuels (i.e. hydrogen). The model consists of a first-order differential equation (ODE) describing the dominant dynamics of the MGT imposed by its own control system during production electrical power. The differential equation is coupled to a set of nonlinear maps derived numerically from a detailed 0D thermodynamic matching model of the MGT evaluated over a wide range of operating conditions (i.e. mechanical power, fraction of hydrogen and ambient temperature). The efficiency of the electrical machine with power inverter and power absorbed by auxiliary devices is also taken into account. The resulting model is experimentally validated for a sequence of power step responses of the MGT at different ambient conditions and with different fuel mixtures.

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  • 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.
    • Handle: RePEc:eee:energy:v:129:y:2017:i:c:p:299-320
    DOI: 10.1016/j.energy.2017.03.173
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    1. Comodi, Gabriele & Renzi, Massimiliano & Cioccolanti, Luca & Caresana, Flavio & Pelagalli, Leonardo, 2015. "Hybrid system with micro gas turbine and PV (photovoltaic) plant: Guidelines for sizing and management strategies," Energy, Elsevier, vol. 89(C), pages 226-235.
    2. Maraver, Daniel & Sin, Ana & Royo, Javier & Sebastián, Fernando, 2013. "Assessment of CCHP systems based on biomass combustion for small-scale applications through a review of the technology and analysis of energy efficiency parameters," Applied Energy, Elsevier, vol. 102(C), pages 1303-1313.
    3. Fathima, A. Hina & Palanisamy, K., 2015. "Optimization in microgrids with hybrid energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 431-446.
    4. 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.
    5. 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.
    6. Basak, Prasenjit & Chowdhury, S. & Halder nee Dey, S. & Chowdhury, S.P., 2012. "A literature review on integration of distributed energy resources in the perspective of control, protection and stability of microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5545-5556.
    7. Montero Carrero, Marina & De Paepe, Ward & Parente, Alessandro & Contino, Francesco, 2016. "T100 mGT converted into mHAT for domestic applications: Economic analysis based on hourly demand," Applied Energy, Elsevier, vol. 164(C), pages 1019-1027.
    8. Nistor, Silviu & Dave, Saraansh & Fan, Zhong & Sooriyabandara, Mahesh, 2016. "Technical and economic analysis of hydrogen refuelling," Applied Energy, Elsevier, vol. 167(C), pages 211-220.
    9. 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.
    10. Nastasi, Benedetto & Lo Basso, Gianluigi, 2016. "Hydrogen to link heat and electricity in the transition towards future Smart Energy Systems," Energy, Elsevier, vol. 110(C), pages 5-22.
    11. Basrawi, Firdaus & Yamada, Takanobu & Obara, Shin’ya, 2014. "Economic and environmental based operation strategies of a hybrid photovoltaic–microgas turbine trigeneration system," Applied Energy, Elsevier, vol. 121(C), pages 174-183.
    12. Ellabban, Omar & Abu-Rub, Haitham & Blaabjerg, Frede, 2014. "Renewable energy resources: Current status, future prospects and their enabling technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 748-764.
    13. Ahadi, Amir & Kang, Sang-Kyun & Lee, Jang-Ho, 2016. "A novel approach for optimal combinations of wind, PV, and energy storage system in diesel-free isolated communities," Applied Energy, Elsevier, vol. 170(C), pages 101-115.
    14. Lund, H. & Mathiesen, B.V., 2009. "Energy system analysis of 100% renewable energy systems—The case of Denmark in years 2030 and 2050," Energy, Elsevier, vol. 34(5), pages 524-531.
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    2. Roberta De Robbio, 2023. "Micro Gas Turbine Role in Distributed Generation with Renewable Energy Sources," Energies, MDPI, vol. 16(2), pages 1-37, January.
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    4. Sachajdak, Andrzej & Lappalainen, Jari & Mikkonen, Hannu, 2019. "Dynamic simulation in development of contemporary energy systems – oxy combustion case study," Energy, Elsevier, vol. 181(C), pages 964-973.
    5. Guan, Jin & Lv, Xiaojing & Spataru, Catalina & Weng, Yiwu, 2021. "Experimental and numerical study on self-sustaining performance of a 30-kW micro gas turbine generator system during startup process," Energy, Elsevier, vol. 236(C).
    6. Zheng, Bingle & Wu, Xiao, 2022. "Integrated capacity configuration and control optimization of off-grid multiple energy system for transient performance improvement," Applied Energy, Elsevier, vol. 311(C).
    7. Xu, Ying & Ren, Li & Zhang, Zhongping & Tang, Yuejin & Shi, Jing & Xu, Chen & Li, Jingdong & Pu, Dongsheng & Wang, Zhuang & Liu, Huajun & Chen, Lei, 2018. "Analysis of the loss and thermal characteristics of a SMES (Superconducting Magnetic Energy Storage) magnet with three practical operating conditions," Energy, Elsevier, vol. 143(C), pages 372-384.
    8. Wang, Chong & Ju, Ping & Wu, Feng & Lei, Shunbo & Hou, Yunhe, 2021. "Coordinated scheduling of integrated power and gas grids in consideration of gas flow dynamics," Energy, Elsevier, vol. 220(C).
    9. Tayma Afaneh & Omar Mohamed & Wejdan Abu Elhaija, 2022. "Load Frequency Model Predictive Control of a Large-Scale Multi-Source Power System," Energies, MDPI, vol. 15(23), pages 1-21, December.
    10. Fabrizio Reale, 2022. "Effects of Steam Injection on the Permissible Hydrogen Content and Gaseous Emissions in a Micro Gas Turbine Supplied by a Mixture of CH 4 and H 2 : A CFD Analysis," Energies, MDPI, vol. 15(8), pages 1-15, April.
    11. Rovense, F. & Reyes-Belmonte, M.A. & González-Aguilar, J. & Amelio, M. & Bova, S. & Romero, M., 2019. "Flexible electricity dispatch for CSP plant using un-fired closed air Brayton cycle with particles based thermal energy storage system," Energy, Elsevier, vol. 173(C), pages 971-984.
    12. Kouchachvili, Lia & Entchev, Evgueniy, 2018. "Power to gas and H2/NG blend in SMART energy networks concept," Renewable Energy, Elsevier, vol. 125(C), pages 456-464.
    13. Hosseinalipour, S.M. & Fattahi, A. & Khalili, H. & Tootoonchian, F. & Karimi, N., 2020. "Experimental investigation of entropy waves’ evolution for understanding of indirect combustion noise in gas turbine combustors," Energy, Elsevier, vol. 195(C).
    14. Chen, Chen-Yu & Su, Sheng-Chun, 2018. "Effects of assembly torque on a proton exchange membrane fuel cell with stamped metallic bipolar plates," Energy, Elsevier, vol. 159(C), pages 440-447.
    15. de Santoli, Livio & Lo Basso, Gianluigi & Barati, Shahrokh & D’Ambra, Stefano & Fasolilli, Cristina, 2020. "Seasonal energy and environmental characterization of a micro gas turbine fueled with H2NG blends," Energy, Elsevier, vol. 193(C).

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