PEMODELAN SUSUNAN TURBIN BERDERET UNTUK KONVERSI ENERGI ARUS PASANG SURUT DI SELAT BALI
Tidal currents have big potential for energy extraction and can be predicted with ease. Utilization of tidal currents are done by using a number of tidal stream turbines arranged in a way to reach optimal energy yield. This study discusses about optimal energy estimation from optimal turbine positio...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/65653 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Tidal currents have big potential for energy extraction and can be predicted with ease. Utilization of tidal currents are done by using a number of tidal stream turbines arranged in a way to reach optimal energy yield. This study discusses about optimal energy estimation from optimal turbine positions at Bali Strait using numerical model. Numerical model used for this study is OpenTidalFarm which uses shallow water equation and adjoint method to find optimal energy estimation and turbine positions. Model gives an error of 6.6% for elevation data, error of 35% for u velocity component, and error of 24.8% for v velocity component. Tidal current in Bali Strait moves southwards during maximum ebb then moves northwards during maximum flood, and accelerates at the narrowest part of the strait. Theoretic turbine positions after optimization during full moon tides shows turbine aggregates along the center of turbine site, and current reduction and reflection occurs at turbine positions due to turbines acting as drag on the waters. Current velocity magnitude increases around 0.10 – 3.87% after optimization. Current velocity magnitude increase also increases energy estimation by 4.04% from 14.74 MW to 15.36 MW in span of 26 hours, or equivalent to electricity for 310 households in Bali province for a day. Consideration of Schottel 54 kW turbine cut-in speed, cut-out speed, and turbine efficiency for several scenarios of turbine numbers show the highest estimation increase after optimization on 196 turbines. Energy estimation from 196 turbines show an estimation increase of 2.35%, from 435.58 MW to 445.83 MW in span of 26 hours, or equivalent to electricity for 5,120 households in Bali province for a day. |
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