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The influence of temporal variability and reservoir management on demand-response in the water sector

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  • Majid, A.
  • van Zyl, J.E.
  • Hall, J.W.

Abstract

Urban water systems can be highly energy intensive. Yet, they are also excellent candidates for demand-response since they possess readily controllable operations and large amounts of storage. However, real-worlds trials have delivered mixed results, which implies the need to understand the underlying mechanisms of flexibility in water operations. This paper studies the potential to shift energy demand in an urban water system located in the River Thames basin, a region encompassing the city of London, England. Results show that the system could theoretically shift up to 20.1% of its annual energy demand for pumping (2.1 GWh), saving the local water utility around £5.6 million in electricity costs. However, the water system’s flexibility is shown to be highly variable due to the variability in water demands and electricity prices, in-turn affecting the financial returns from demand-response. Sensitivity analysis reveals that factors such as the seasonal reservoir control strategies and total storage capacity are key determinants of system flexibility. A relationship between water storage capacity and flexibility is also derived, which could be used to estimate water sector flexibility in other regions.

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  • Majid, A. & van Zyl, J.E. & Hall, J.W., 2022. "The influence of temporal variability and reservoir management on demand-response in the water sector," Applied Energy, Elsevier, vol. 305(C).
    • Handle: RePEc:eee:appene:v:305:y:2022:i:c:s0306261921011387
    DOI: 10.1016/j.apenergy.2021.117808
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    References listed on IDEAS

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    1. Asmadi Ahmad & Ahmed El-Shafie & Siti Razali & Zawawi Mohamad, 2014. "Reservoir Optimization in Water Resources: a Review," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3391-3405, September.
    2. Kernan, R. & Liu, X. & McLoone, S. & Fox, B., 2017. "Demand side management of an urban water supply using wholesale electricity price," Applied Energy, Elsevier, vol. 189(C), pages 395-402.
    3. Behrangrad, Mahdi, 2015. "A review of demand side management business models in the electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 270-283.
    4. Janczura, Joanna & Trück, Stefan & Weron, Rafał & Wolff, Rodney C., 2013. "Identifying spikes and seasonal components in electricity spot price data: A guide to robust modeling," Energy Economics, Elsevier, vol. 38(C), pages 96-110.
    5. Menke, Ruben & Abraham, Edo & Parpas, Panos & Stoianov, Ivan, 2016. "Demonstrating demand response from water distribution system through pump scheduling," Applied Energy, Elsevier, vol. 170(C), pages 377-387.
    6. Julian D. Hunt & Edward Byers & Yoshihide Wada & Simon Parkinson & David E. H. J. Gernaat & Simon Langan & Detlef P. Vuuren & Keywan Riahi, 2020. "Global resource potential of seasonal pumped hydropower storage for energy and water storage," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    7. van Staden, Adam Jacobus & Zhang, Jiangfeng & Xia, Xiaohua, 2011. "A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges," Applied Energy, Elsevier, vol. 88(12), pages 4785-4794.
    8. Zohrabian, Angineh & Sanders, Kelly T., 2021. "Emitting less without curbing usage? Exploring greenhouse gas mitigation strategies in the water industry through load shifting," Applied Energy, Elsevier, vol. 298(C).
    9. Mkireb, Chouaïb & Dembélé, Abel & Jouglet, Antoine & Denoeux, Thierry, 2019. "Robust Optimization of Demand Response Power Bids for Drinking Water Systems," Applied Energy, Elsevier, vol. 238(C), pages 1036-1047.
    10. Meschede, Henning, 2019. "Increased utilisation of renewable energies through demand response in the water supply sector – A case study," Energy, Elsevier, vol. 175(C), pages 810-817.
    11. Heffron, Raphael & Körner, Marc-Fabian & Wagner, Jonathan & Weibelzahl, Martin & Fridgen, Gilbert, 2020. "Industrial demand-side flexibility: A key element of a just energy transition and industrial development," Applied Energy, Elsevier, vol. 269(C).
    12. Finn, Paddy & Fitzpatrick, Colin, 2014. "Demand side management of industrial electricity consumption: Promoting the use of renewable energy through real-time pricing," Applied Energy, Elsevier, vol. 113(C), pages 11-21.
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