access icon free Experimental investigation and numerical simulation of an inline low-head microhydroturbine for applications in water pipelines

The excess hydraulic pressure in water supply network pipes is one of the major problems in design and implementation stages of these projects. To reduce the excess pressure and maintain network safety, a variety of pressure reducing valves are used, which waste all the excess pressure. However, having used the appropriate water microturbines, while reducing the pressure loss to an optimum value, the system could recover the wasted energy. In this study, numerical simulation and experimental investigation of microturbine in a water supply system have been performed to evaluate the electrical power generation capacity of an over-pressured network. The numerical simulation of the microturbine was conducted using Ansys-Fluent software. The microturbine has been experimentally investigated with different inlet flow rates, the effect of different post-microturbine heads and also the effect of different opening angles of guide plate on its performance, three different scenarios were defined. Based on numerical simulation and laboratory results, the best performance of the microturbine was obtained when the inlet flow rate was 0.01184m3/s and also opening angle 20° for the guide plate, in which the microturbine output was equal to 59.01 W. The generated power by the microturbine can meet the electrical needs of sensors and other network monitoring equipment.

Inspec keywords: flow simulation; pipelines; numerical analysis; computational fluid dynamics; pipe flow; intake systems (machines); water supply; hydraulic turbines; pipes; valves

Other keywords: water pipelines; network monitoring equipment; power 59.01 W; electrical power generation capacity; pressure loss; numerical simulation; over-pressured network; excess energy; renewable energy; energy waste; Ansys Fluent software; water supply network pipes; water microturbine; inlet flow rate; water supply networks; inline low-head microhydroturbine; low flow rate water supply system; network safety; post-microturbine heads; pressure reducing valves; hydraulic pressure

Subjects: Power and plant engineering (mechanical engineering); Numerical analysis; Mechanical components; Hydroelectric power stations and plants; Fluid mechanics and aerodynamics (mechanical engineering); General fluid dynamics theory, simulation and other computational methods; Flows in ducts, channels, and conduits; Other numerical methods; Public utilities; Civil and mechanical engineering computing; Mechanical engineering applications of IT; Other numerical methods; Numerical approximation and analysis; Applied fluid mechanics; Public utility administration

References

    1. 1)
      • 14. Akhtar, F., Rehmani, M.H.: ‘Energy replenishment using renewable and traditional energy resources for sustainable wireless sensor networks: a review’, Renew. Sust. Energy Rev., 2015, 45, pp. 769784.
    2. 2)
      • 18. Kaunda, C.S., Kimambo, C.Z., Nielsen, T.K.A.: ‘Technical discussion on micro hydropower technology and its turbines’, Renew. Sust. Energy Rev., 2014, 35, pp. 445459.
    3. 3)
      • 21. Islam, M., Ting, D.S.K., Fartaj, A.: ‘Aerodynamic models for Darrieus-type straight-bladed vertical axis wind turbines’, Renew. Sust. Energy Rev., 2008, 12, (4), pp. 10871109.
    4. 4)
      • 16. Fraenkel, P., Parish, O., Bolkalders, V., et al: ‘Micro-hydro power’, in ‘Micro-hydro power: a guide for development workers’ (Practical Action Publishing, UK, 1991), pp. 1127.
    5. 5)
      • 35. Tan, L., Zhu, B., Cao, S., et al: ‘Influence of blade wrap angle on centrifugal pump performance by numerical and experimental study’, Chin. J. Mech. Eng., 2014, 27, (1), pp. 171177.
    6. 6)
      • 37. Coroneo, M., Montante, G., Paglianti, A., et al: ‘CFD prediction of fluid flow and mixing in stirred tanks: numerical issues about the RANS simulations’, Comput. Chem. Eng., 2011, 35, (10), pp. 19591968.
    7. 7)
      • 32. Ma, T., Yang, H., Guo, X., et al: ‘Development of inline hydroelectric generation system from municipal water pipelines’, Energy, 2018, 144, pp. 535548.
    8. 8)
      • 19. Elbatran, A.H., Yaakob, O.B., Ahmed, Y.M., et al: ‘Operation, performance and economic analysis of low head micro-hydropower turbines for rural and remote areas: a review’, Renew. Sust. Energy Rev., 2015, 43, pp. 4050.
    9. 9)
      • 3. Chen, J., Yang, H.X., Liu, C.P., et al: ‘A novel vertical axis water turbine for power generation from water pipelines’, Energy, 2013, 54, pp. 184193.
    10. 10)
      • 9. Yang, X., Ong, K.G., Dreschel, W.R., et al: ‘Design of a wireless sensor network for long-term, in-situ monitoring of an aqueous environment’, Sensors, 2002, 2, (11), pp. 455472.
    11. 11)
      • 11. Rosenbloom, D., Meadowcroft, J.: ‘Harnessing the sun: reviewing the potential of solar photovoltaics in Canada’, Renew. Sustain. Energy Rev., 2014, 40, pp. 488496.
    12. 12)
      • 10. Stoianov, I., Nachman, L., Madden, S., et al: ‘PIPENETa wireless sensor network for pipeline monitoring’. Proc. of the 6th Int. Conf. on Information Processing in Sensor Networks, Cambridge, Massachusetts, U.S.A, 2007, pp. 264273.
    13. 13)
      • 5. Ma, T., Yang, H., Lu, L.: ‘A feasibility study of a stand-alone hybrid solar–wind–battery system for a remote island’, Appl. Energy, 2014, 121, pp. 149158.
    14. 14)
      • 2. Du, J., Yang, H., Shen, Z., et al: ‘Micro hydro power generation from water supply system in high rise buildings using pump as turbines’, Energy, 2017, 137, pp. 431440.
    15. 15)
      • 30. Samora, I., Manso, P., Franca, M.J., et al: ‘Energy recovery using micro-hydropower technology in water supply systems: the case study of the city of Fribourg’, Water, 2016, 8, (8), p. 344.
    16. 16)
      • 1. Xu, Q., Liu, R., Chen, Q., et al: ‘Review on water leakage control in distribution networks and the associated environmental benefits’, J. Environ. Sci., 2014, 26, (5), pp. 955961.
    17. 17)
      • 13. Myers, R., Vickers, M., Kim, H., et al: ‘Small scale windmill’, Appl. Phys. Lett., 2007, 90, (5), p. 054106.
    18. 18)
      • 27. Li, Y., Song, G., Yan, Y.: ‘Transient hydrodynamic analysis of the transition process of bulb hydraulic turbine’, Adv. Eng. Softw., 2015, 90, pp. 152158.
    19. 19)
      • 12. Weimer, M.A., Paing, T.S., Zane, R.A.: ‘Remote area wind energy harvesting for low-power autonomous sensors’. 37th IEEE Power Electronics Specialists Conf., Jeju, South Korea, 2006, pp. 29112915.
    20. 20)
      • 26. Ferro, L.M.C., Gato, L.M.C., Falcão, A.F.O.: ‘Design of the rotor blades of a mini hydraulic bulb-turbine’, Renew. Energy, 2011, 36, (9), pp. 23952403.
    21. 21)
      • 28. Sarkar, P., Sharma, B., Malik, U.: ‘Energy generation from grey water in high raised buildings: the case of India’, Renew. Energy, 2014, 69, pp. 284289.
    22. 22)
      • 22. Kjellin, J., Bülow, F., Eriksson, S., et al: ‘Power coefficient measurement on a 12 kW straight bladed vertical axis wind turbine’, Renew. Energy, 2011, 36, (11), pp. 30503053.
    23. 23)
      • 7. Mehajabin, N., Razzaque, M.A., Hassan, M.M., et al: ‘Energy-sustainable relay node deployment in wireless sensor’ networks’, Comput. Netw., 2016, 104, pp. 108121.
    24. 24)
      • 29. Casini, M.: ‘Harvesting energy from in-pipe hydro systems at urban and building scale’, Int. J. Smart Grid Clean Energy, 2015, 4, pp. 316327.
    25. 25)
      • 36. Gourdain, N.: ‘Prediction of the unsteady turbulent flow in an axial compressor stage. Part 1: comparison of unsteady RANS and LES with experiments’, Comput. Fluids, 2015, 106, pp. 119129.
    26. 26)
      • 8. Younis, M., Akkaya, K.: ‘Strategies and techniques for node placement in wireless sensor networks: a survey’, Ad Hoc Netw., 2008, 6, (4), pp. 621655.
    27. 27)
      • 6. Niyato, D., Hossain, E., Rashid, M.M., et al: ‘Wireless sensor networks with energy harvesting technologies: a game-theoretic approach to optimal energy management’, IEEE Wirel. Commun., 2007, 14, (4), pp. 9096.
    28. 28)
      • 4. Abegaz, B.W., Datta, T., Mahajan, S.M.: ‘Sensor technologies for the energy-water nexus – a review’, Appl. Energy, 2018, 210, pp. 451466.
    29. 29)
      • 31. Kowalska, B., Kowalski, D., Kwietniewski, M., et al: ‘The concept of using energy generated by water flowing in pipes to power devices monitoring the water supply network’, WIT Trans. Built Environ., 2016, 165, pp. 7582.
    30. 30)
      • 25. Zhou, G., Huang, L., Li, W., et al: ‘Harvesting ambient environmental energy for wireless sensor networks: a survey’, J. Sens., 2014, 42, (8), pp. 442462.
    31. 31)
      • 20. Paish, O.: ‘Small hydro power: technology and current status’, Renew. Sust. Energy Rev., 2002, 6, (6), pp. 537556.
    32. 32)
      • 34. Xu, Y., Tan, L., Cao, S., et al: ‘Multipara meter and multiobjective optimization design of centrifugal pump based on orthogonal method’, Proc. Inst. Mech. Eng. C, J. Mech. Eng. Sci., 2017, 231, (14), pp. 25692579.
    33. 33)
      • 24. Saftner, D.A., Hryciw, R.D., Green, R.A., et al: ‘The use of wireless sensors in geotechnical field applications’. Proc. of the 15th Annual Great LaNes Geotechnical/Geoenvironmental Conf., Indianapolis, Indiana, May 2008.
    34. 34)
      • 17. Eriksson, S., Bernhoff, H., Leijon, M.: ‘Evaluation of different turbine concepts for wind power’, Renew. Sust. Energy Rev., 2008, 12, (5), pp. 14191434.
    35. 35)
      • 15. Jiyun, D., Hongxing, Y., Zhicheng, S., et al: ‘Development of an inline vertical cross-flow turbine for hydropower harvesting in urban water supply pipes’, Renew. Energy, 2018, 127, pp. 386397.
    36. 36)
      • 23. Kirke, B.K., Lazauskas, L.: ‘Limitations of fixed pitch Darrieus hydrokinetic turbines and the challenge of variable pitch’, Renew. Energy, 2011, 36, (3), pp. 893897.
    37. 37)
      • 33. Tan, L., Cao, S., Wang, Y., et al: ‘Direct and inverse iterative design method for centrifugal pump impellers’, Proc. Inst. Mech. Eng. A, J. Power Energy, 2012, 226, (6), pp. 764775.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2019.1283
Loading

Related content

content/journals/10.1049/iet-rpg.2019.1283
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading