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Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station

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  • Kagiri, Charles
  • Wanjiru, Evan M.
  • Zhang, Lijun
  • Xia, Xiaohua

Abstract

Compressed natural gas propulsion of vehicles has been shown to have advantages over petrol and diesel propulsion due to lower carbon dioxide emissions as well as the increased durability of vehicle engines. The growth of compressed natural gas as an alternative fuel to petrol and diesel can be accelerated by implementing strategies that result in the economical operation of the distribution infrastructure. Economic scheduling of power consumption is a useful strategy for reducing the cost of energy for both industrial and domestic consumers who operate in time-of-use based electricity pricing environments. In this paper, an optimal energy management strategy is proposed for the operation of a compressed natural gas fuelling station. The compressor energy consumption, being the main component of the total operating cost of the fuelling station, presents a cost saving opportunity through which optimal scheduling of operation can be used to lower cost of operation of the station. The developed model shows potential average savings of 59.3% in daily electricity costs while maximizing compressor life through minimization of compressor cycling.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:222:y:2018:i:c:p:244-256
    DOI: 10.1016/j.apenergy.2018.04.017
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    References listed on IDEAS

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    1. Malakoutirad, Mohammad & Bradley, Thomas H. & Hagen, Chris, 2015. "Design considerations for an engine-integral reciprocating natural gas compressor," Applied Energy, Elsevier, vol. 156(C), pages 129-137.
    2. Wanjiru, Evan M. & Zhang, Lijun & Xia, Xiaohua, 2016. "Model predictive control strategy of energy-water management in urban households," Applied Energy, Elsevier, vol. 179(C), pages 821-831.
    3. Lin, Wensheng & Zhang, Na & Gu, Anzhong, 2010. "LNG (liquefied natural gas): A necessary part in China's future energy infrastructure," Energy, Elsevier, vol. 35(11), pages 4383-4391.
    4. Zhuan, Xiangtao & Xia, Xiaohua, 2013. "Optimal operation scheduling of a pumping station with multiple pumps," Applied Energy, Elsevier, vol. 104(C), pages 250-257.
    5. Numbi, B.P. & Zhang, J. & Xia, X., 2014. "Optimal energy management for a jaw crushing process in deep mines," Energy, Elsevier, vol. 68(C), pages 337-348.
    6. Ye, Xianming & Xia, Xiaohua & Zhang, Jiangfeng, 2013. "Optimal sampling plan for clean development mechanism energy efficiency lighting projects," Applied Energy, Elsevier, vol. 112(C), pages 1006-1015.
    7. Gilmore, Elisabeth A. & Patwardhan, Anand, 2016. "Passenger vehicles that minimize the costs of ownership and environmental damages in the Indian market," Applied Energy, Elsevier, vol. 184(C), pages 863-872.
    8. Mostafa Baladi, S. & Herriges, Joseph A. & Sweeney, Thomas J., 1998. "Residential response to voluntary time-of-use electricity rates," Resource and Energy Economics, Elsevier, vol. 20(3), pages 225-244, September.
    9. Wu, Zhou & Tazvinga, Henerica & Xia, Xiaohua, 2015. "Demand side management of photovoltaic-battery hybrid system," Applied Energy, Elsevier, vol. 148(C), pages 294-304.
    10. Bielaczyc, Piotr & Woodburn, Joseph & Szczotka, Andrzej, 2014. "An assessment of regulated emissions and CO2 emissions from a European light-duty CNG-fueled vehicle in the context of Euro 6 emissions regulations," Applied Energy, Elsevier, vol. 117(C), pages 134-141.
    11. 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.
    12. Xia, Xiaohua & Zhang, Jiangfeng, 2013. "Mathematical description for the measurement and verification of energy efficiency improvement," Applied Energy, Elsevier, vol. 111(C), pages 247-256.
    13. Herter, Karen & McAuliffe, Patrick & Rosenfeld, Arthur, 2007. "An exploratory analysis of California residential customer response to critical peak pricing of electricity," Energy, Elsevier, vol. 32(1), pages 25-34.
    14. 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.
    15. Zhang, Lijun & Xia, Xiaohua & Zhang, Jiangfeng, 2014. "Improving energy efficiency of cyclone circuits in coal beneficiation plants by pump-storage systems," Applied Energy, Elsevier, vol. 119(C), pages 306-313.
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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.
    2. 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.
    3. Seyfi, Mohammad & Mehdinejad, Mehdi & Mohammadi-Ivatloo, Behnam & Shayanfar, Heidarali, 2022. "Deep learning-based scheduling of virtual energy hubs with plug-in hybrid compressed natural gas-electric vehicles," Applied Energy, Elsevier, vol. 321(C).
    4. Chen, Sumin & Zeng, Qingcheng & Li, Yantong, 2023. "Integrated operations planning in highly electrified container terminals considering time-of-use tariffs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    5. Bo Wang & Yanjing Li & Fei Yang & Xiaohua Xia, 2019. "A Competitive Swarm Optimizer-Based Technoeconomic Optimization with Appliance Scheduling in Domestic PV-Battery Hybrid Systems," Complexity, Hindawi, vol. 2019, pages 1-15, October.
    6. Humberto Verdejo Fredes & Benjamin Acosta & Mauricio Olivares & Fernando García-Muñoz & Francisco Tobar & Vannia Toro & Cesar Smith & Cristhian Becker, 2021. "Impact of Energy Price Stabilization Mechanism on Regulated Clients’ Tariffs: The Case of Chile," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    7. Suyang Zhou & Yuxuan Zhuang & Wei Gu & Zhi Wu, 2018. "Operation and Economic Assessment of Hybrid Refueling Station Considering Traffic Flow Information," Energies, MDPI, vol. 11(8), pages 1-20, July.

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