Wind Energy Potential Investigation and Micrositting in Langkawi Island, Malaysia

Abstract

The aim of this study was to predict the wind energy potential over the Langkawi Island, Malaysia. The wind data for year 2009 was collected from Malaysia Meteorology Department (MMD) and then extrapolated to the hub heights of various turbines. Wind turbines with rated powers between 1 kW and 110 kW were chosen for annual energy production calculations and best fitted ones were used for the micrositting analysis. In this study, the turbine with 22 kW rated power with hub height 30 m was selected based on its best value of capacity factor. The wind speed frequency per year is highly peaked in the range 1–6 m/s, this indicate that most of the wind speed at Langkawi Island lies in this range. The ‘WAsP’ and ‘WindPRO’ softwares were used for the wind statistics and energy calculations. Calculated energy production of located 10 turbines with total capacity of 0.22 MW was 111.1 MWh. Suitable sites were selected according to the created wind power and energy maps. The future cost of maintenance and the status of area either its reserved or conserved by the government were the factors that be considered for selection of site area.

The Potential of Greenhouse Gas Emission Reduction Using Wind Energy Technology at Selected Sites in Malaysia

“…The results from Langkawi Island were the lowest regarding wind speed and power potential. Albani et al (2013b) clarified that the low wind speed occurred during the southwest monsoon due to long-distance travel from the Indian Ocean to Langkawi Island. This developed a large frictional force on the wind with the water surface that led to the formation of a large wave because of its location on the West Coast.…”

“…By developing strategies to decarbonise their energy system and, in some cases, propose netzero emissions by 2050 (Barthelmie & Pryor, 2021). There are limited studies about wind farms in Malaysia compared to other countries, as Malaysia has yet to commercially implement the wind energy sector (Albani et al, 2013a). Also, the effects of greenhouse gas emissions Abstract: Wind energy is one of the five fuels that can support the reduction of greenhouse gases and climate change impact.…”

Development of Rig Hanging Hydro Turbine Based on Waste Water Discharge at Challawa Industrial Area of Kano State

“…Wide execution of RE technologies donate durably to the sustainable development of the economy which lead to the protection of the environment, although the type of renewable energies has made them differently inefficient and economical when working separately in providing sustainable and steady electricity to consumers (Deichmann, Meisner, Murray, & Wheeler, 2011). Usually, the mixing of RE and convention fuel are seen to be workable for the Among different types RE mechanization, micro hydro and wind-drive system are consider as the highest reliable sources (Albani, Ibrahim, Yong, & Muzathik, 2013;Ibrahim, 2012). The availability of wind power is almost anywhere in the world but varies base on the location.…”

Wind turbine rank method for a wind park scenario

“…Moreover, the capacity factor (CF) is a common method used to define and to rank wind turbines that are suited to planned sites (Albani et al, 2013;Rahmani et al, 2014;Ibrahim and Albani, 2014). However, this method only considers the annual energy that could be produced by a wind turbine (AEP) in kWh/year.…”