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candidate’s degree Technical sciences Gulnara Nurpeissova

Kazakh scientific research institute of mechanization and electrification agriculture (“KazSRIMEA”), Kazakhstan

 

Development of a wind energy resource’s

electronic map for Kazakhstan

 

The nonconventional power engineering is the most perspective direction for the effective progress of Kazakhstan’s agriculture. Cause of it is increase of energy needs and remoteness of the agroformations’ majority from the centralized energy sources. So there is the practical interest in monitoring climatic data at territory of republic and estimation of energy resource in various sources for definition of renewed sources’ effective kinds for each district.

There are sufficient preconditions for successful application of wind energy in Kazakhstan. For a wind power resources’ estimation and substantiation of wind plants’ (WP) designing and circuits accommodation according to the prospecting works’ methodical instructions the climatic factors are classified on three groups: general climatic characteristics, specialized climatic characteristics and characteristics for WP designs’ calculation for durability and stability. It is necessary to use general climatic characteristics and specialized climatic characteristics for drawing of a wind energy resource’s electronic map. At first there are average wind’s monthly and annual speed, amplitude of a daily course of wind’s average speed, distribution of wind’s speed by gradation, vertical structure of wind’s average speed (change by height), air density, amendment to wind’s speed on an district’s exposition. Second – prevailing wind’s direction, vertical structure of the wind’s maximal speed, integrated repeatability and continuous duration of a working speeds’ range and wind calmness, repeatability of storm wind.

For creation of wind energy resource’s electronic map on the basis of 122 Kazakhstan’s meteorological stations’ data, that have been received in 1966 to 1980, the database of the climatic characteristics by consideration of openness and height factors was created. This database contains the data about average wind speed’s monthly and annual, air temperature and atmospheric pressure. On the basis of Pomorcev’s, Gullen’s and Grinevich’s researches the mathematical dependences were revealed, which ones allow to find theoretical wind’s repeatability. To estimate wind speed gradations repeatability’s conformity to Pomorcev’s and Gullen’s distributions the annual average wind speed’s values data on 22 meteorological stations grouped.

The distributions’ diagrams, which are based on the data of points (stations) with annual average wind speed about 4 m/s, for Kazakhstan’s most typical climatic conditions are given on picture 1.

The conformity of various wind speed’s repeatability distribution to the Gullen’s and Pomorcev’s distribution laws was estimated by Pirson’s criterion of conformity on all speed’s ranges and on all ranges of working wind speed. By estimation results for various wind speed’s repeatability distribution on territory of Kazakhstan the Gullen’s distribution law is accepted.

The program for definition of settlementrated wind speed, design capacity, monthly production by basic WP with wind wheel’s diameter 1 ì, wind operating ratio 0,4, wind engine’s mechanical efficiency 0,8 for working wind speed from 2,5 ì/s is created by consideration of all reduction factors and various wind speed’s repeatability distribution law. The program can be used for calculation of WP’s parameters with other values.

The received data are processed by the geometrical analysis method - Delaunnay’s triangulation - in MatLab program environment. The electronic maps for definition of rated wind speed and WP’s specific desing capacity for 1 m2 of the wind wheel’s area at height 10 m are given in pictures 2 and 3.

By consideration of repeatability of wind speed gradations, specific year production’s design values, were determined for wind wheel’s area 1 m2. The maps of specific year production’s distribution for territory of Kazakhstan at various heights are received. In picture 4 the electronic map for definition of a six-meter mast WP’s specific year production is given.

 

 

Picture 1 - Distribution of wind speed gradations

for areas with annual average wind speed about 4 m/s


 

Picture 2 - Map for definition of WP’s design working speed

 

 

Picture 3 - Map of distribution of WP’s specific design capacity

for 1 m2 of the wind wheel’s area at height 10 m

 

 

Picture 4 - Map of distribution of WP’s specific year production

with mast’s height 6 m

Analyzing the maps you can make the following conclusions: for example, in the most part of Karaganda regio