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A Hierarchical Optimisation of a Compressed Natural Gas Station for Energy and Fuelling Efficiency under a Demand Response Program

Author

Listed:
  • Charles Kagiri

    (Centre of New Energy Systems, Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa)

  • Lijun Zhang

    (Centre of New Energy Systems, Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa)

  • Xiaohua Xia

    (Centre of New Energy Systems, Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa)

Abstract

Compressed natural gas stations serve customers who have chosen compressed natural gas powered vehicles as an alternative to diesel and petrol based ones, for cost or environmental reasons. The interaction between the compressed natural gas station and electricity grid requires an energy management strategy to minimise a significant component of the operating costs of the station where demand response programs exist. Such a strategy when enhanced through integration with a control strategy for optimising gas delivery can raise the appeal of the compressed natural gas, which is associated with reduced criteria air pollutants. A hierarchical operation optimisation approach adopted in this study seeks to achieve energy cost reduction for a compressed natural gas station in a time-of-use electricity tariff environment as well as increase the vehicle fuelling efficiency. This is achieved by optimally controlling the gas dispenser and priority panel valve function under an optimised schedule of compressor operation. The results show that electricity cost savings of up to 60.08% are achieved in the upper layer optimisation while meeting vehicle gas demand over the control horizon. Further, a reduction in filling times by an average of 16.92 s is achieved through a lower layer model predictive control of the pressure-ratio-dependent fuelling process.

Suggested Citation

  • Charles Kagiri & Lijun Zhang & Xiaohua Xia, 2019. "A Hierarchical Optimisation of a Compressed Natural Gas Station for Energy and Fuelling Efficiency under a Demand Response Program," Energies, MDPI, vol. 12(11), pages 1-24, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2165-:d:237668
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    References listed on IDEAS

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    1. Kagiri, Charles & Wanjiru, Evan M. & Zhang, Lijun & Xia, Xiaohua, 2018. "Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station," Applied Energy, Elsevier, vol. 222(C), pages 244-256.
    2. Markéta Mikolajková-Alifov & Frank Pettersson & Margareta Björklund-Sänkiaho & Henrik Saxén, 2019. "A Model of Optimal Gas Supply to a Set of Distributed Consumers," Energies, MDPI, vol. 12(3), pages 1-27, January.
    3. Yeh, Sonia, 2007. "An empirical analysis on the adoption of alternative fuel vehicles: The case of natural gas vehicles," Energy Policy, Elsevier, vol. 35(11), pages 5865-5875, November.
    4. Kuby, Michael, 2019. "The opposite of ubiquitous: How early adopters of fast-filling alt-fuel vehicles adapt to the sparsity of stations," Journal of Transport Geography, Elsevier, vol. 75(C), pages 46-57.
    5. Spees, Kathleen & Lave, Lester B., 2007. "Demand Response and Electricity Market Efficiency," The Electricity Journal, Elsevier, vol. 20(3), pages 69-85, April.
    6. Wanjiru, Evan M. & Xia, Xiaohua, 2015. "Energy-water optimization model incorporating rooftop water harvesting for lawn irrigation," Applied Energy, Elsevier, vol. 160(C), pages 521-531.
    7. Girma T. Chala & Abd Rashid Abd Aziz & Ftwi Y. Hagos, 2018. "Natural Gas Engine Technologies: Challenges and Energy Sustainability Issue," Energies, MDPI, vol. 11(11), pages 1-44, October.
    8. Xunmin Ou & Xiliang Zhang & Xu Zhang & Qian Zhang, 2013. "Life Cycle GHG of NG-Based Fuel and Electric Vehicle in China," Energies, MDPI, vol. 6(5), pages 1-19, May.
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    Cited by:

    1. Yongliang Liang & Zhiqi Li & Yuchuan Li & Shuwen Leng & Hongmei Cao & Kejun Li, 2023. "Bilevel Optimal Economic Dispatch of CNG Main Station Considering Demand Response," Energies, MDPI, vol. 16(7), pages 1-28, March.
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    3. Liang, Yong-Liang & Guo, Chen-Xian & Li, Ke-Jun & Li, Ming-Yang, 2021. "Economic scheduling of compressed natural gas main station considering critical peak pricing," Applied Energy, Elsevier, vol. 292(C).

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