10.1007/s40095-021-00447-4

Mitigating water supply deficit through micro-grid powered pumping station

  • Thapelo C. Mosetlhe*1,
  1. Department of Electrical Engineering, University of South Africa, Florida, ZA

Published in Issue 2021-11-25

How to Cite

Mosetlhe, T. C. (2021). Mitigating water supply deficit through micro-grid powered pumping station. International Journal of Energy and Environmental Engineering, 13(2 (June 2022). https://doi.org/10.1007/s40095-021-00447-4
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Abstract

Abstract The stochastic nature of water demand could lead to deficits in the case that flows from the reservoir and pressure in networks are not properly managed. Installation of pumping facilities has the potential to resolve this issue. However, the energy used by these facilities is a concern. In addition, utilisation of the grid also contributes towards the carbonisation of the atmosphere. This work proposes the utilisation of a PV-battery micro-grid to power the pumping station. The size of the micro-grid is determined by the power required to operate the pump to mitigate the supply deficit. A pressure-driven model is used to solve the water distribution network and to determine the deficit in supply. The results show that the proposed micro-grid can supply the pumping for 24 hours without interventions from the grid. The cost of energy is found to be 0.951 ZAR which is considerably lower than the reselling price of utilities standing at 1.16–1.28 ZAR in South Africa.

Keywords

  • Micro-grid,
  • Pumping station,
  • Water supply,
  • Water distribution networks

References

  1. Gupta and Abdy Sayyed (2013) Predicting deficient condition performance of water distribution networks 46(2) (pp. 161-173)
  2. Sivakumar and Prasad (2014) Simulation of water distribution network under pressure-deficient condition 28(10) (pp. 3271-3290) https://doi.org/10.1007/s11269-014-0677-0
  3. Arfanuzzaman and Rahman (2017) Sustainable water demand management in the face of rapid urbanization and ground water depletion for social-ecological resilience building (pp. 9-22) https://doi.org/10.1016/j.gecco.2017.01.005
  4. Udmale et al. (2016) The status of domestic water demand: supply deficit in the kathmandu valley, nepal 8(5) https://doi.org/10.3390/w8050196
  5. Avni et al. (2015) Water consumption patterns as a basis for water demand modeling 51(10) (pp. 8165-8181) https://doi.org/10.1002/2014WR016662
  6. Gagliardi et al. (2017) A probabilistic short-term water demand forecasting model based on the markov chain 9(7) https://doi.org/10.3390/w9070507
  7. Guo et al. (2018) Short-term water demand forecast based on deep learning method 144(12) https://doi.org/10.1061/(ASCE)WR.1943-5452.0000992
  8. Perea et al. (2019) Optimisation of water demand forecasting by artificial intelligence with short data sets (pp. 59-66) https://doi.org/10.1016/j.biosystemseng.2018.03.011
  9. Brentan et al. (2017) Hybrid regression model for near real-time urban water demand forecasting (pp. 532-541) https://doi.org/10.1016/j.cam.2016.02.009
  10. Kramer et al. (2018) Pumps as turbines for efficient energy recovery in water supply networks (pp. 17-25) https://doi.org/10.1016/j.renene.2018.01.053
  11. Shao et al. (2019) Leakage control and energy consumption optimization in the water distribution network based on joint scheduling of pumps and valves 12(15) https://doi.org/10.3390/en12152969
  12. Alberizzi et al. (2019) Speed and pressure controls of pumps-as-turbines installed in branch of water-distribution network subjected to highly variable flow rates 12(24) https://doi.org/10.3390/en12244738
  13. Hashemi et al. (2014) Ant-colony optimization of pumping schedule to minimize the energy cost using variable-speed pumps in water distribution networks 11(5) (pp. 335-347) https://doi.org/10.1080/1573062X.2013.795233
  14. Kraft and Barkdoll (2020) Effect of reservoir elevation on energy consumption in water distribution systems 17(3) (pp. 266-272) https://doi.org/10.1080/1573062X.2020.1758165
  15. Montorfano et al. (2016) Economic and technical evaluation of solar-assisted water pump stations for mining applications: a case of study 52(5) (pp. 4454-4459) https://doi.org/10.1109/TIA.2016.2569415
  16. Kumar and Singh (2017) Single stage solar pv fed brushless dc motor driven water pump 5(3) (pp. 1377-1385) https://doi.org/10.1109/JESTPE.2017.2699918
  17. Nikzad et al. (2019) Technical, economic, and environmental modeling of solar water pump for irrigation of rice in mazandaran province in iran: A case study https://doi.org/10.1016/j.jclepro.2019.118007
  18. Vandone et al. (2018) The impact of energy and agriculture prices on the stock performance of the water industry (pp. 14-27) https://doi.org/10.1016/j.wre.2018.02.002
  19. Hossain et al. (2015) Feasibility of solar pump for sustainable irrigation in bangladesh 6(2) (pp. 147-155) https://doi.org/10.1007/s40095-015-0162-4
  20. Piller, O., Brémond, B., Poulton, M.: Least action principles appropriate to pressure driven models of pipe networks. In: World Water & Environmental Resources Congress 2003, pp. 1–15 (2003)
  21. Wagner et al. (1988) Water distribution reliability: simulation methods 114(3) (pp. 276-294) https://doi.org/10.1061/(ASCE)0733-9496(1988)114:3(276)
  22. Todini, E.: Towards realistic extended period simulations (eps) in looped pipe network. In: Water Distribution Systems Analysis Symposium 2006, pp. 1–16 (2008)
  23. Fipps, G.: Calculating horsepower requirements and sizing irrigation supply pipelines (1995)
  24. Mosetlhe et al. (2021) Appraising the efficacy of the hybrid grid-pv power supply for a household in south africa (pp. 14-19) https://doi.org/10.1016/j.ref.2021.02.001
  25. Ayodele et al. (2021) Off-grid hybrid renewable energy system with hydrogen storage for south african rural community health clinic 46(38) (pp. 19871-19885) https://doi.org/10.1016/j.ijhydene.2021.03.140
  26. Sahin, A.Z., Rehman, S.: Economical feasibility of utilizing photovoltaics for water pumping in saudi arabia. International Journal of Photoenergy
  27. 2012
  28. (2012)
  29. Morales and Busch (2010) Portland
  30. Simpliphipower: Here’s a Crash Course in Battery System Sizing (2018).
  31. https://simpliphipower.com/company/news/blog/heres-a-crash-course-in-battery-system-sizing/
  32. Lee, K.H., Malmedal, K., Sen, P.: Conceptual design and cost estimate for a stand-alone residential photovoltaic system. In: 2012 IEEE Green Technologies Conference, pp. 1–6. IEEE (2012)
  33. Giustolisi et al. (2008) Algorithm for automatic detection of topological changes in water distribution networks 134(4) (pp. 435-446) https://doi.org/10.1061/(ASCE)0733-9429(2008)134:4(435)
  34. Raghuwanshi and Arya (2020) Design and economic analysis of a stand-alone hybrid photovoltaic energy system for remote healthcare centre 13(5) (pp. 360-372) https://doi.org/10.1080/19397038.2019.1629674
  35. Mathe, T.: Calls to cap Eskom tariff increases (2020).
  36. https://mg.co.za/business/2020-08-30-calls-to-cap-eskom-tariff-increases/