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Keynote Speaker

Associate Professor Dr. Mohd Zamri bin Ibrahim

Rector of TATI University College, Kemaman Terengganu

Title: WIND ENERGY PROSPECTS IN MALAYSIA

Abstract:

The national target for cumulative renewable energy capacity in 2015, 2020 and 2030 are 985 MW, 2,080 MW, 4,000 MW respectively. However, the progress is dramatically different from the target, as reported in 2014, the cumulative capacity is less than 250 MW, and the projected capacity for year 2015 is 400 MW, which is only 50% of the original target. Accordingly, one of the best solution is to introduce a new renewable energy technology, such as wind energy into the Malaysia RE mix to enhance the electricity generation. This presentation evaluates the wind energy potential, onshore and offshore, in Malaysia. The onshore wind data were collected from two sources, first by purchasing wind data from Malaysia Meteorological Department (MMD) to overview the general wind speed in Malaysia. Twelve sites are selected and mainly, the height of the MMD measurement tower is 10 m (m.a.g.l). The second source of onshore wind data is collected directly from the measurement mast at five potential sites, all of them located on the coastal area, which is less obstacles and surface roughness. The wind data were measured at different heights, in the range 30 m to 70 m, (m.a.g.l). The wind measurement project was completed by Universiti Malaysia Terengganu (UMT), which is sponsored by the Ministry of Science, Technology and Innovation (MOSTI). Since there are no measured offshore wind data, the satellite-based data were used to study the potential of offshore wind energy at three selected sites in the country. The data is known as QuikSCAT wind data. The QuikSCAT data are produced by Remote Sensing Systems and sponsored by NASA Ocean Vector Winds Science Team. The wind energy analysis is carried out by averaging all data to diurnal, monthly and seasonal to determine the variation of wind speed in Malaysia. The Weibull distribution of wind speed, wind direction and Wind Power Density (WPD) were determined and plotted. The Annual Energy Production (AEP) and Capacity factor (CF) were simulated using the selected wind turbines for both onshore and offshore wind energy analyses. Lastly, the economic aspect of wind turbines, as well as proposed Feed-in Tariff (FIT) rates for wind energy, were calculated to determine the viability of wind projects in this country.