Wind Energy Potential Mapping Design for Construction of Wind Farm on Watudodol Beach Banyuwangi
Suprihadi Prasetyono
, Rb. Moch Gozali , Achmad Dzikri Mustofa , Widyono Hadi
wind farm, wake losses, optimal turbine placement
This research aims to discuss the mapping of wind farms commonly referred as wind power plant generation systems at Watudodol Beach Banyuwangi. The research was conducted by mapping out the wind farms which included variables of average wind velocity, dominant wind direction, and the value of wake losses, which allowed the analysis of the location of the farms and wind turbines to be done mathematically and can also determined the type of wind turbine that would be appropriate to be placed and optimal to produce energy. Based on the results of a month’s research, the wind power potential on Watudodol Beach with the total wind farm area (160 m × 60 m) was 10569.025 W/m2. With an average wind velocity of 4.98 m/s, the highest wind velocity was 7.79 m/s, and the lowest wind velocity was 2.01 m/s. From the calculation results, the optimal turbine configuration arrangement design was found in the 9Dx5D turbine configuration arrangement with a total of 42 turbines and with a wake loss percentage of 9.35%. Using magnet generator with the type of Neodymium n52 low rpm, producing potential electrical power of 7914.086 W and electrical energy of 86263.534 Wh per day.
"Wind Energy Potential Mapping Design for Construction of Wind Farm on Watudodol Beach Banyuwangi", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 11, page no.67 - 86, November-2024, Available :https://ijsdr.org/papers/IJSDR2411009.pdf
Volume 9
Issue 11,
November-2024
Pages : 67 - 86
Paper Reg. ID: IJSDR_212655
Published Paper Id: IJSDR2411009
Downloads: 000346998
Research Area: Electrical Engineering
Country: Jember, East Java, Indonesia
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave