Performance of undershot waterwheel in pico scale with difference in the blades number

Dewi Puspita Sari1, Imam Syofii1, Dendy Adanta2, Anthony Costa3, Muhammad Agil Fadhel Kurnianto4, Sanjaya B. S. Nasution4, Aji Putro Prakoso5, Fajar Sungging Rahmatullah1
1Study Program of Mechanical Engineering Education, Universitas Sriwijaya, Indralaya, Indonesia
2Department of Mechanical Engineering, Universitas Sriwijaya, Indralaya, Indonesia
3Department of Civil Engineering, Universitas Sriwijaya, Indralaya, Indonesia
4Department of Mechanical Engineering, Universitas Indonesia, Depok, Indonesia
5Department of Mechanical Engineering, Universitas Jendral Ahmad Yani, Cimahi, Indonesia

Tóm tắt

Undershot waterwheels (USWW) are recommended as a power plant for remote or rural areas because of their construction simplicity. The USWW is considered old technology; while the characteristics of its technology are not yet comprehensive, the effect of the number of blades on its performance is debatable. This study investigated the effect of the blade number on pico scale USWW performance and the hydraulic behaviors due to rotational speed of wheel by computational and validated with experimental data. The four blade numbers investigated were 8, 12, 16, and 20 blades. The relation of blade number to USWW performance is parabolic and can express using empirical laws. The empirical laws can predict performance change by blade’s number and identify the optimum blade's number at 16 blades.

Tài liệu tham khảo

Direktorat Jendral Ketenagalistrikan (Directorate General of Electricity) (2019) Update Informasi (Sub Sektor Ketenagalistrikan), Jakarta Direktorat Jendral Ketenagalistrikan (Directorate General of Electricity) Statistik Ketenagalistrikan T.A 2017 (2018) Badan Pusat Statistik Republik Indonesia (Indonesia Central Bureau of Statistics), Hasil Sensus Penduduk 2020, Jakarta (2020) Kementerian Energi dan Sumber Daya Mineral Indonesia (Indonesian Ministry of Energy and Mineral Resources), Potensi Energi Air (2020) International Renewable Energy Agency, Renewable Energy Prospects: Indonesia, no. March (2017) Adanta D, Warjito B, Siswantara AI (2018) Assessment of turbulence modelling for numerical simulations into pico hydro turbine. J Adv Res Fluid Mech Therm Sci 46:21–31 Warjito S, Arifianto A, Budiarso S, Nasution B, Adanta D (2018) Effect of blades number on undershot waterwheel performance with variable inlet velocity. In: 2018 4th international conference on science and technology (ICST), pp 1–6 Adanta WD, Nasution SBS, Kurnianto MAF, Budiarso A (2019) The effect of blade height and inlet height in a straight-blade undershot waterwheel turbine by computational method. CFD Lett 11(12):66–73 Adanta D, Kurnianto MAF, Nasution WSB, Budiarso A (2020) Effect of the number of blades on undershot waterwheel performance for straight blades. IOP Conf Ser Earth Env Sci 431(1):12024 Denny M (2003) The efficiency of overshot and undershot waterwheels. Eur J Phys 25(2):193 Quaranta E, Müller G (2018) Sagebien and Zuppinger water wheels for very low head hydropower applications. J Hydraul Res 2018:1–11 Nishi Y, Inagaki T, Li Y, Hatano K (2015) Study on an undershot cross-flow water turbine with straight blades. Int J Rotat Mach 2015:1–10 Nishi Y, Inagaki T, Li Y, Omiya R, Fukutomi J (2014) Study on an undershot cross-flow water turbine. J Therm Sci 23(3):239–245 Yah NF, Idris MS, Oumer AN (2016) "Numerical investigation on effect of immersed blade depth on the performance of undershot water turbines. MATEC Web Conf 74:35 Budiarso W, Kevin C, Adanta D, Prakoso AP (2019) Computational methods for predicting a pico-hydro cross-flow turbine performance. CFD Lett 11(12):13–20 Adanta WD, Budiarso A, Prakoso AP (2018) The effect of bucketnumber on breastshot waterwheel performance. IOP Conf Ser Earth Environ Sci 105(1):12031 Quaranta E, Revelli R (2016) Hydraulic behavior and performance of breastshot water wheels for different numbers of blades. J Hydraul Eng 143(1):4016072 Saad T (2011) Turbulence modeling for beginners, University of Tennessee space institute Davidson L (2015) Fluid mechanics, turbulent flow and turbulence modeling. Chalmes University of Technology Siswantara AI, Budiarso B (2018) Assessment of turbulence model for cross-flow pico hydro turbine numerical assessment of turbulence model for cross-flow pico hydro turbine numerical simulation Adanta D, Nasution SBS, Warjito B, Siswantara AI, Trahasdani H (2020) Open flume turbine simulation method using six-degrees of freedom feature. In: AIP Conference Proceedings, 2020, vol 2227, no 1, p 20017 Fluent A (2013) ANSYS fluent theory guide 15.0, ANSYS, Canonsburg Roache PJ (1998) Verification and validation in computational science and engineering. Hermosa, Socorro Babuska I, Oden JT (2004) Verification and validation in computational engineering and science: basic concepts. Comput Methods Appl Mech Eng 193(36–38):4057–4066 Chanson H (2004) 2—fundamentals of open channel flows. In: H. B. T.-E. H. of O. C. F. Chanson, Ed. Butterworth-Heinemann, Oxford, pp 11–34 Munson BR, Okiishi TH, Huebsch WW, Rothmayer AP (2013) Fluid mechanics. Wiley, Singapore Williamson SJ, Stark BH, Booker JD (2013) Performance of a low-head pico-hydro Turgo turbine. Appl Energy 102(1):1114–1126 Gupta V, Prasad V, Khare R (2016) Numerical simulation of six jet Pelton turbine model. Energy 104:24–32 Adanta D, Warjito B, Mahlia TMI (2019) Investigation of the effect of gaps between the blades of open flume Pico hydro turbine runners. J Mech Eng Sci 13(3):5493–5512 Sari DP, Helmizar I, Syofii D, Adanta D (2020) The effect of the ratio of wheel tangential velocity and upstream water velocity on the performance of undershot waterwheels. J Adv Res Fluid Mech Therm Sci 65(2):170–177 Gotoh M, Kowata H, Okuyama T, Katayama S (2000) Damming-up effect of a current water wheel set in a rectangular channel, World Renewable Energy Congress VI, pp 1615–1618 Suharyati S, Pambudi H, Wibowo JL, Pratiwi NI (2019) Outlook Energi Indonesia (OEI) 2019, Jakarta