An Analysis of Wind Energy Potential of Kampot Province, Southern Cambodia

Promsen, Worrapass; Janjai, Serm; Tantalechon, T.

doi:10.1016/j.egypro.2014.07.119

Cited by 11 publications

(8 citation statements)

References 8 publications

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“…Some studies examined the potential of wind energy over the short and long-term statistical periods by using WAsP. Promsen et al [ 16 ] and Nouri et al [ 17 ] used wind data over a short statistical period with the WAsP model, and also investigated wind speeds and determined the optimal location for wind turbine installation. Boudi and Guerri [ 18 ], Diaf and Notton [ 19 ], and Sahin et al [ 20 ] studied the potential of wind energy by using wind data over a long statistical period and the WAsP model.…”

Section: Introductionmentioning

confidence: 99%

Assessment of wind energy potential and economic evaluation of four wind turbine models for the east of Iran

Mohamadi

Saeedi

Firoozi

et al. 2021

Heliyon

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This study examined the potential of wind energy in 22 regions in eastern Iran. In this regard, it investigated the parameters of Weibull, mean wind speed, and wind power density in these areas. The results showed that the mean wind speed was above 4 m/s at all stations and in ten stations was above 5 m/s. Also, the study of monthly wind speed fluctuations in eastern parts of Iran and its comparison with the relevant variations of electricity consumption showed that the fluctuations of speed is clearly in line with the requirements of electrical energy consumption in Iran. In addition, the annual production of energy and the economic performance of four commercial turbine models at 22 sites were investigated. Generally, Mapna 2.5 MW and Vestas V100–1.8 MW 60 turbines were more efficient than the other two turbine models in terms of annual production of energy and cost of producing electricity. The results of the economic analysis showed that investment in wind farms in eastern parts of Iran could be associated with high profitability. Finally, the results of this study indicated that planning to exploit wind energy for electricity production in eastern parts of Iran is an appropriate strategy to reduce Iran's dependence on fossil fuels.

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Section: Introductionmentioning

confidence: 99%

Assessment of wind energy potential and economic evaluation of four wind turbine models for the east of Iran

Mohamadi

Saeedi

Firoozi

et al. 2021

Heliyon

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“…In Asia continent where Kazakhstan is located; Anwarzai and Nagasaka 11 for Afghanistan, Salam et al 12 for Brunei, Promsen et al 13 for Cambodia, Liu et al 14 for China, Nagababu et al 15 for India, Teimourian et al 16 for Iran, Mahmood et al 17 for Iraq, Alsaad 18 for Jordan, Alkhalidi et al 19 for Kuwait, Al Zohbi et al 20 for Lebanon, Islam et al 21 for Malaysia, Laudari et al 22 for Nepal, Yeom et al 23 for North Korea, Ali et al 24 for Pakistan, De Meij et al 25 for Palestine, Baseer et al 26 for Saudi Arabi, Fernando et al 27 for Sri Lanka, Ali et al 28 for South Korea, Al-Mohamad and Karmeh 29 for Syria, Janjai et al 30 for Thailand, De Araujo 31 for Timor Leste, Yaniktepe et al 32 for Turkey, Bahrami et al 33 for Turkmenistan, Bahrami et al 34 for Uzbekistan, and Algifri 35 for Yemen.…”

Section: Introductionmentioning

confidence: 99%

Techno-economic analysis of wind energy potential in Kazakhstan

Pourasl

Khojastehnezhad

2021

Proceedings of the Institution of Mechanical Engineers, Part A:

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The use of renewable energy as a future energy source is attracting considerable research interest globally. In particular, there is a significant growth in wind energy utilization during the last few years. This present study through a detailed and systematic literature survey assesses the wind energy potential of Kazakhstan for the first time. Using the Weibull distribution function and hourly wind speed data, the annual power and energy density of the sites are calculated. For the 50 sites considered in this study and at a height of 10 m above the ground, the annual average wind speed, the power density, and energy production of Kazakhstan range from 0.94–5.15 m/s, 4.50–169.34 W/m2 and 39.56–1502.50 kWh/m2/yr, respectively. It was found that Fort Sevcenko, Atbasar, and Akmola are the three best locations for wind turbine installation with wind power densities of 169.34, 135.30, and 111.51 W/m2, respectively. Fort Sevcenko demonstrates the highest potential for wind energy harvesting with an energy density of 1483.46 kWh/m2/yr. For the 15 commercial wind turbines, it was observed that the annual energy production of the selected turbines ranges between 3.8 GWh/yr in Petropavlovsk to 15.4 GWh/yr in Fort Sevcenko among the top six locations. The lowest and highest capacity factors correspond to the same sites with the values of 29.21% and 58.66%, respectively. Overall, it is the intention of this study to constitute a database for the users and developers of wind power in Kazakhstan.

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“…Nowadays, wind energy, as an alternative clean sustainable energy source, has been recognized as one of the fastest developing renewable energy source technologies. Wind power generation has made a remarkable contribution to daily life across the globe and has grown rapidly over the past 20 years [3]. As a renewable energy source with the highest growth rate in the last two decades, wind energy is considered a very important resource of electricity production in the future.…”

Section: Introductionmentioning

confidence: 99%

Comparison of roughness index for Kitka and Koznica wind farms

Hoxha

Dragusha

2021

IJPEDS

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<span lang="EN-US">Kosovo has limited renewable energy resources and its power generation sector is based on fossil fuels. Such a situation emphasizes the importance of active research and efficient use of renewable energy potential. According to the analysis of meteorological data for Kosovo, it can be concluded that among the most attractive potential wind power sites are the locations known as Kitka (42° 29' 41" N and 21° 36' 45" E) and Koznica (42° 39′ 32″ N, 21° 22′30″E). The two terrains in which the analysis was carried out are mountain areas, with altitudes of 1142 m (Kitka) and 1230 m (Koznica). the same measuring height, about 84 m above the ground, is obtained for these average wind speeds: Kitka 6,667 m/s and Koznica 6,16 m/s. Since the difference in wind speed is quite large versus a difference in altitude that is not being very large, analyses are made regarding the terrain characteristics including the terrain relief features. In this paper it will be studied how much the roughness of the terrain influences the output energy. Also, that the assumption to be taken the same as to how much they will affect the annual energy produced.</span>

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An Analysis of Wind Energy Potential of Kampot Province, Southern Cambodia

Cited by 11 publications

References 8 publications

Assessment of wind energy potential and economic evaluation of four wind turbine models for the east of Iran

Assessment of wind energy potential and economic evaluation of four wind turbine models for the east of Iran

Techno-economic analysis of wind energy potential in Kazakhstan

Comparison of roughness index for Kitka and Koznica wind farms

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