风 风能 风力发电——21世纪新型清洁能源

一风的一般属性１风的形成风是人们非常熟悉的一种自然现象，人人都能感觉到它的存在。春风和煦，给万物带来生机；夏风吹拂，使人心旷神怡；秋风送爽，带来丰收的喜悦；冬风呼啸，迎来漫天飞雪。那么风是怎样形成的呢？众所周知，人类生活的地球表面被大气所包围，来自太阳的辐射不断传送到地球表面，因太阳辐射受热情况不同，地球表面各处的气温不同。在影响气压高低的因素中，气温起着最重要的作用。温度高的地区空气受热上升，气压减小；温度低的地方，空气下降，气压增大，于是产生了气压差。和水往低处流一样，空气也从气压高处向气压…     

Wind speed and wind energy potential of Jordan

Routine wind data from 11 stations in Jordan have been analysed. Monthly average, and seasonal wind speed and average power density distributions were determined for each station. The monthly average wind speed for the two most potential sites Ras Muneef (RA) and Mafraq (MF) ranged from 3.0 to 7.4 m/sec and the average power density for these two sites ranged from 110 to 370 W/m² at RA and from 105 to 470 W/m² at MF. An application of wind power as supplementary power supply is suggested and cost analysis is given.     

Wind energy and assessment of wind energy potential in Turkey

In this study, the potential of wind energy and assessment of wind energy systems in Turkey were studied. The main purpose of this study is to investigate the wind energy potential and future wind conversion systems project in Turkey. The wind energy potential of various regions was investigated; and the exploitation of the wind energy in Turkey was discussed. Various regions were analyzed taking into account the wind data measured as hourly time series in the windy locations. The wind data used in this study were taken from Electrical Power Resources Survey and Development Administration (EIEI) for the year 2010. This paper reviews the assessment of wind energy in Turkey as of the end of May 2010 including wind energy applications. Turkey's total theoretically available potential for wind power is around 131,756.40 MW and sea wind power 17,393.20 MW annually, according to TUREB (TWEA). When Turkey has 1.5 MW nominal installed wind energy capacity in 1998, then this capacity has increased to 1522.20 MW in 2010. Wind power plant with a total capacity of 1522.20 MW will be commissioned 2166.65 MW in December 2011.     

Wind characteristics and wind energy potential in Morocco

The wind characteristics of 11 sites in the windy regions in Morocco have been analysed. The annual average wind speed for the considered sites ranged from 5 m/s to 10 m/s and the average power density from 100 W/m² to 1000 W/m², which might be suitable for electrical power production by installing wind farms. On an annual scale the observations of the distribution of hourly wind speed are better fitted by the Weibull hybrid distribution in contrast to the Weibull distribution.The wind power is estimated to be 1817 MW, that is to say, the exploitable wind energy is 15198 GWh, which represents theoretically 11% of the total consumed energy in Morocco in 1994.     

Wind characteristics and wind energy potential in western Nevada

The wind potential in western Nevada was assessed by using wind, temperature, and pressure data over a period of four and half years from four 50 m tall towers. The seasonal wind patterns for all towers show a maximum during the spring season. Diurnal wind speed patterns for all seasons and months showed a minimum during the late morning and a maximum during the late afternoon. The highest values are during the spring season with multi-annual hourly wind speeds at or above 8 m/s and relative frequency of the wind speed in the optimum turbine range (5–25 m/s) of 70% or higher for the Tonopah tower, with lower values for the other three towers. The monthly power law index values are lower than the standard value 0.147 (in general 0.13 or lower). The hourly turbulence intensities were higher at lower elevations, with values of about 0.35 or higher at the 10 m level and at lower wind speed range (5.0 m/s or less). Higher turbulence intensities were found for all towers and heights during the spring and summer seasons and lower values during the rest of the year. The daily gust factor for the 2003–2007 composite data sets shows low probabilities (2% or less) of the wind gusts exceeding 25 m/s.     

Wind power statistics and an evaluation of wind energy density

In this paper the statistical data of fifty days' wind speed measurements at the MERC-solar site are used to find out the wind energy density and other wind characteristics with the help of the Weibull probability distribution function. It is emphasized that the Weibull and Rayleigh probability functions are useful tools for wind energy density estimation but are not quite appropriate for properly fitting the actual wind data of low mean speed, short-time records. One has to use either the actual wind data (histogram) or look for a better fit by other models of the probability function.     

Indian wind power : Wind as a supplementary energy source in India

Wind energy programmes started in India during the 1980s and gained momentum during 1992–1993 mainly due to the participation of private developers who saw wind as a viable alternative source of power for their existing industrial activities. The liberal incentives provided by the Government of India like 100 per cent depreciation in the first year itself, a five year tax holiday; wheeling/banking, and third party sale by different state governments also gave a big boost to the establishment of wind farms. Dr A. Jagadeesh, Wind Energy Specialist and Consultant, India highlights the current status and actions needed for further development of a wind power industry in India.     

Wind power energy potential at the northeastern region of Saudi Arabia

In the present study the energy potential of wind for the Eastern Province of Saudi Arabia is investigated. A suitable Weibull distribution is generated based on the data obtained for a duration of one complete year at a costal location in northeastern Saudi Arabia. Comparison of this model is made with the Rayleigh distribution of wind power densities. Two horizontal-axis type of wind energy conversion systems which operate at fixed rpm are considered and a model of quadratic power output function is used. It is found that the error in using the Rayleigh approximation will be less than 10% of the full rated power density level.     

Wind energy potential evaluation for power generation in selected districts of Jharkhand

This study evaluated the availability of wind energy for electricity production at different locations, i.e., Ranchi, Jamshedpur, Devghar, Lohardaga, and Chaibasa, in Jharkhand, India. Due to the rapidly rising demand for power in Jharkhand, there is a requirement of an alternative renewable source of energy to lower the dependence on its limited fossil fuel resources. The studied locations were found to be unsuitable for wind to electricity generation on a large scale at 10 m height above the ground. However, small-scale wind turbines can be used to extract energy from low-speed wind, preferably at a height above 10 m from the ground.     

California offshore wind energy potential

This study combines multi-year mesoscale modeling results, validated using offshore buoys with high-resolution bathymetry to create a wind energy resource assessment for offshore California (CA). The siting of an offshore wind farm is limited by water depth, with shallow water being generally preferable economically. Acceptable depths for offshore wind farms are divided into three categories: ≤20 m depth for monopile turbine foundations, ≤50 m depth for multi-leg turbine foundations, and ≤200 m depth for deep water floating turbines. The CA coast was further divided into three logical areas for analysis: Northern, Central, and Southern CA. A mesoscale meteorological model was then used at high horizontal resolution (5 and 1.67 km) to calculate annual 80 m wind speeds (turbine hub height) for each area, based on the average of the seasonal months January, April, July, and October of 2005/2006 and the entirety of 2007 (12 months). A 5 MW offshore wind turbine was used to create a preliminary resource assessment for offshore CA. Each geographical region was then characterized by its coastal transmission access, water depth, wind turbine development potential, and average 80 m wind speed. Initial estimates show that 1.4–2.3 GW, 4.4–8.3 GW, and 52.8–64.9 GW of deliverable power could be harnessed from offshore CA using monopile, multi-leg, and floating turbine foundations, respectively. A single proposed wind farm near Cape Mendocino could deliver an average 800 MW of gross renewable power and reduce CA's current carbon emitting electricity generation 4% on an energy basis. Unlike most of California's land based wind farms which peak at night, the offshore winds near Cape Mendocino are consistently fast throughout the day and night during all four seasons.     

Wind power potential in Oman

Solar energy and wind are likely to play an important role in the future energy generation in Oman. This article assesses wind power cost per kWh of energy produced using four types of wind machines at 27 locations within Oman. These sites cover all regions in Oman. Hourly values of wind speed recorded between 2000 and 2009, in most cases, were used for all 27 locations. Wind duration curves were developed and utilized to calculate the cost per kWh of energy generated from four chosen wind machines. It was found that the cost of energy is low in the south and middle regions of Oman compared with that in the north region. The most promising sites for the economic harnessing of wind power are Thumrait, Qairoon Hairiti, Masirah, and Sur, with an energy cost of less than 0.117 US$/kWh when 2000 kW, 1500 kW, 850 kW, or 250 kW wind turbines are used.     

Wind energy potential in Tunisia

The purpose of this paper is to constitute a database for the users of the wind power. It presents the study of 17 synoptic sites distributed on all the territory of Tunisia. From the meteorological data provided by the Meteorology National Institute (INM), two statistical methods (meteorological and Weibull) are presented to evaluate the wind speed characteristics and the wind power potential at a height of 10 m above ground level and in an open area. An extrapolation of these characteristics with the height is also carried out. The results obtained give a global vision of the distribution of the wind potential in Tunisia and define the most windy zones.     

Wind energy potential in Palestine

Weibull parameters of the wind speed distribution function were computed for 49 weather stations in Palestine. Wind potentials in kWh/m² yr were calculated at the above stations, then contours of wind potential were drawn. Electricity from the wind can be generated, in some locations in the West Bank, at a cost of 0.07 $/kWh.     

Wind energy potential in Aden-Yemen

The wind energy resource is very large and widely distributed throughout the world as well as in Yemen. Aden possesses a very good potential of wind energy. In this article a number of years data on wind speed in Aden has been studied and presented. A statistical analysis was carried out from which the annual wind speed was found to be 4.5 m/s and most of the time the wind speed is in the range of 3.5–7.5 m/s. The wind speed distributions were represented by Weibull and Rayleigh distributions. It was found that the Rayleigh distribution is suitable to represent the actual probability of wind speed data for Aden. The wind speed data showed that the maximum monthly wind speed occurs in the month of February with the maximum in the month of June. It is concluded that Aden can be explored for wind energy applications.     

Wind energy potential for Oman

The wind power potential was summarized using data from thirteen weather stations. The overall long term average wind speed for Oman is a moderate 3.67(s.d.=2.13) m/s yielding a potential power of 30.30 W. Wind speeds at four stations, Thumrait, Sur, Masirah and Marmul, are appreciably higher than the national average and hence these stations have a great potential for wind power utilization. More data needs to be collected for a better understanding of the wind power potential for Oman.     

Wind energy potential in Syria

Both wind energy potential and the electricity that could be generated by the wind for the Syrian land have been evaluated. An appropriate computer program was especially prepared and designed to perform the required calculations, mainly the wind energy potential and the generated electricity, using the available meteorological data provided by the Syrian Atlas. The program is capable of processing the wind data for any specific area, that is of course, in accordance with the needed requirements in fields of researches and applications.Moreover, calculations show that a huge energy potential is available for direct exploitation and as much as twice the current electricity consumption in Syria can be generated by the wind resource.     

Wind energy potential at Palkalainagar

This paper uses the Weibull's distribution function to describe the wind speed frequency distribution at Palkalainagar (geographical co-ordinates N : 9°54′, E : 78°54′), Madurai, India using the one year data available. Weibull's parameters are used to estimate the wind data parameters for the site. Of the wind data parameters the most important one is the annual specific output (T_A). This is used in determining the annual energy output of a Wind Energy Conversion System (WECS) and in conducting cost-benefit analysis of wind-electricity generation. The parameter is used in evaluating the efficiency of WECS in the same site. Results show the possibilities of harnessing wind energy towards electricity generation.     

The wind energy potential of Thailand

Routine wind data from meteorological stations have been used to determine seasonal wind speed distributions and mean power densities at the surface over Thailand. Analyses of hourly wind speeds at two stations show that Weibull distributions fit the data well, provided that observations of calm are excluded. The diurnal variation of the wind at these stations has also been found. Estimates of mean power densities of surface winds over the whole country are typically in the range 10–20 Wm^?2. Upper level climatic charts indicate that mean free-stream wind power densities above the surface boundary layer are typically in the range 100–600 Wm^?2. Similar power densities would be accessible to wind machines on high ground in many places, depending on mountain topography and machine siting.     

The wind energy potential of Malaysia

Wind data collected at ten stations in Malaysia were analysed for wind energy potential. The data were collected over a ten-year period (1982–1991). The results were presented as a Weibull distribution and analysis indicated that the station at Mersing has the greatest potential, with a mean power density of 85.61 W/m² at 10 m above sea level.