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Application of a microgrid with renewables for a water treatment plant

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  • Soshinskaya, Mariya
  • Crijns-Graus, Wina H.J.
  • van der Meer, Jos
  • Guerrero, Josep M.

Abstract

This research explores the techno-economic potential for a predominantly renewable electricity-based microgrid serving an industrial-sized drink water plant in the Netherlands. Grid-connected and stand-alone microgrid scenarios were modeled, utilizing measured wind speed and solar irradiation data, real time manufacturer data for technology components, and a bottom-up approach to model a flexible demand from demand response. The modeled results show that there is a very high potential for renewable electricity at the site, which can make this drink water treatment plant’s electricity consumption between 70% and 96% self-sufficient with renewable electricity from solar PV and wind power production. The results show that wind production potential is very high onsite and can meet 82% of onsite demand without adding solar PV. However, PV production potential is also substantial and provides a more balanced supply which can supply electricity at times when wind production is insufficient. Due to the supplemental supply over different parts of the day, adding solar PV also increases the benefits gained from the demand response strategy. Therefore, a solar–wind system combination is recommended over a wind only system. A 100% renewable system would require extremely large battery storage, which is not currently cost effective. Ultimately, even at the low wholesale electricity and sell-back price for large electricity consumers, grid-connection and the ability to trade excess electricity is extremely important for the cost-effectiveness of a microgrid system.

Suggested Citation

  • Soshinskaya, Mariya & Crijns-Graus, Wina H.J. & van der Meer, Jos & Guerrero, Josep M., 2014. "Application of a microgrid with renewables for a water treatment plant," Applied Energy, Elsevier, vol. 134(C), pages 20-34.
  • Handle: RePEc:eee:appene:v:134:y:2014:i:c:p:20-34
    DOI: 10.1016/j.apenergy.2014.07.097
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    References listed on IDEAS

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    Cited by:

    1. Gamarra, Carlos & Guerrero, Josep M. & Montero, Eduardo, 2016. "A knowledge discovery in databases approach for industrial microgrid planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 615-630.
    2. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
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    4. Wang, Fengjuan & Xu, Jiuping & Liu, Liying & Yin, Guangming & Wang, Jianhua & Yan, Jinyue, 2021. "Optimal design and operation of hybrid renewable energy system for drinking water treatment," Energy, Elsevier, vol. 219(C).
    5. Polleux, Louis & Guerassimoff, Gilles & Marmorat, Jean-Paul & Sandoval-Moreno, John & Schuhler, Thierry, 2022. "An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    6. Rodríguez-Gallegos, Carlos D. & Gandhi, Oktoviano & Bieri, Monika & Reindl, Thomas & Panda, S.K., 2018. "A diesel replacement strategy for off-grid systems based on progressive introduction of PV and batteries: An Indonesian case study," Applied Energy, Elsevier, vol. 229(C), pages 1218-1232.
    7. Carta, José A. & Cabrera, Pedro, 2021. "Optimal sizing of stand-alone wind-powered seawater reverse osmosis plants without use of massive energy storage," Applied Energy, Elsevier, vol. 304(C).
    8. Kabalcı, Ersan, 2018. "An islanded hybrid microgrid design with decentralized DC and AC subgrid controllers," Energy, Elsevier, vol. 153(C), pages 185-199.
    9. Kamel, Rashad M. & Nagasaka, Ken, 2015. "Effect of load type on standalone micro grid fault performance," Applied Energy, Elsevier, vol. 160(C), pages 532-540.
    10. Fernando Amoroso & Rubén Hidalgo-León & Kevin Muñoz & Javier Urquizo & Pritpal Singh & Guillermo Soriano, 2023. "Techno-Economic Assessment of PV Power Systems to Power a Drinking Water Treatment Plant for an On-Grid Small Rural Community," Energies, MDPI, vol. 16(4), pages 1-21, February.
    11. Pichel, N. & Vivar, M. & Fuentes, M., 2016. "Performance analysis of a solar photovoltaic hybrid system for electricity generation and simultaneous water disinfection of wild bacteria strains," Applied Energy, Elsevier, vol. 171(C), pages 103-112.
    12. Damilola A. Asaleye & Michael Breen & Michael D. Murphy, 2017. "A Decision Support Tool for Building Integrated Renewable Energy Microgrids Connected to a Smart Grid," Energies, MDPI, vol. 10(11), pages 1-29, November.
    13. Chen, Yizhong & He, Li & Li, Jing, 2017. "Stochastic dominant-subordinate-interactive scheduling optimization for interconnected microgrids with considering wind-photovoltaic-based distributed generations under uncertainty," Energy, Elsevier, vol. 130(C), pages 581-598.
    14. He, Li & Zhang, Shiyue & Chen, Yizhong & Ren, Lixia & Li, Jing, 2018. "Techno-economic potential of a renewable energy-based microgrid system for a sustainable large-scale residential community in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 631-641.
    15. Neves, Diana & Pina, André & Silva, Carlos A., 2015. "Demand response modeling: A comparison between tools," Applied Energy, Elsevier, vol. 146(C), pages 288-297.
    16. Daniel Gómez-Lorente & Ovidio Rabaza & Fernando Aznar-Dols & María José Mercado-Vargas, 2017. "Economic and Environmental Study of Wineries Powered by Grid-Connected Photovoltaic Systems in Spain," Energies, MDPI, vol. 10(2), pages 1-14, February.
    17. Berrueta, Alberto & Urtasun, Andoni & Ursúa, Alfredo & Sanchis, Pablo, 2018. "A comprehensive model for lithium-ion batteries: From the physical principles to an electrical model," Energy, Elsevier, vol. 144(C), pages 286-300.
    18. Mohseni, Soheil & Brent, Alan C. & Kelly, Scott & Browne, Will N. & Burmester, Daniel, 2021. "Strategic design optimisation of multi-energy-storage-technology micro-grids considering a two-stage game-theoretic market for demand response aggregation," Applied Energy, Elsevier, vol. 287(C).
    19. Michal Kotulla & Miroslava Goňo & Radomír Goňo & Matouš Vrzala & Zbigniew Leonowicz & Iwona Kłosok-Bazan & Joanna Boguniewicz-Zabłocka, 2022. "Renewable Energy Sources as Backup for a Water Treatment Plant," Energies, MDPI, vol. 15(17), pages 1-17, August.

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