RANCANG BANGUN MINIATUR TURBIN ANGIN PEMBANGKIT LISTRIK UNTUK MEDIA PEMBELAJARAN

Penulis

  • Ruzita Sumiati Politeknik Negeri Padang
  • Aidil Zamri Politeknik Negeri Padang

DOI:

https://doi.org/10.21063/jtm.2013.v3.i2.1-8

Kata Kunci:

Wind Turbine, Media Pembelajaran

Abstrak

Wind turbines convert the kinetic energy in wind into clean electricity. When the wind spins the wind turbine's blades, a rotor captures the kinetic energy of the wind and converts it into rotary motion to drive the generator. Wind electric systems are one of the most cost-effective home-based renewable energy systems with zero emissions and pollution. Many factors that influence the performance of wind turbines such as wind speed, blade shape, and number of blades. In Generator, Coil number of turn (N) also influence performance of wind turbine. Manufacture of wind turbine prototype as a learning medium to facilitate students in understanding the concept of wind electric system. Results of the test prototype wind turbine if the wind speed the greater the resulting voltage will be higher, the Coil number of turn (N) also affects the voltage generated.

Referensi

Dietzel, F. 1999. Turbin, Pompa dan Kompresor. Jakarta : Erlangga.

Djojodihardjo, H., J.P. Molly, 1983. Wind Energy Systems, Penerbit Alumni, Bandung

Fox, Robert W., Mc Donald, Alan T. 2003. Introduction to Fluid Mehanic 6th edition. USA: John Wiley&Sons.

Hau, E. 2006. Wind Turbines Fundamentals, Technologies, Applications, Economics 2nd Edition. Berlin: Springer.

Hemami, A. 2012. Wind Turbine Technology. USA: Cengage Learning.

Hendra A. 2012, Pengaruh Jumlah Sudu Terhadap Unjuk Kerja Turbin Angin Savonius. Universitas Brawijaya.

Heier, S., Grid Integration of Wind Energy Conversion Systems, John Wiley & Sons Ltd., Chichester, 1998

Manwell J.F., McGowan J.L., Rogers A.L. 2003. Wind Energy Explained – Theory, Design & Application. West Sussex: John Wiley & Sons.

Reksoatmodjo. 2005. Vertical-Axis Differential Drag Windmill. Universitas Jenderal Achmad Yani. Jurnal Teknik Mesin Vol. 3, No. 2, Oktober 2013 : 1 – 8.

Sargolzaei, J. 2007. Prediction of the power ratio and torque in wind turbine Savonius rotors using artificial neural networks. Department of chemical engineering. Ferdowsi university of Mashhad. Iran.

Tong, W. 2010. Wind Power Generation and Wind Turbine Design. USA: WIT Press.

White, M. Frank. Fluid Mechanics 4th edition. Rhode Island :McGraw Hill

Unduhan

Diterbitkan

2014-10-31

Cara Mengutip

RANCANG BANGUN MINIATUR TURBIN ANGIN PEMBANGKIT LISTRIK UNTUK MEDIA PEMBELAJARAN. (2014). Jurnal Teknik Mesin, 3(2), 1-8. https://doi.org/10.21063/jtm.2013.v3.i2.1-8