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Mobile WebSiteIn 2018, China's wind power installed capacity has reached 188GW, accounting for 35% of the global installed capacity, ranking first in the world's largest wind power. At the same time, the upgrading of technology and the conversion of new and old kinetic energy are also driving the industry to become more and more mature.
In the face of the growing funding gap, it is a general trend to subsidize raw energy. In 2019, the industry will enter the bidding era. The increasingly low cost pressure makes the upstream and downstream of the industrial chain all enter the tightening state, and the “optimal electricity cost” becomes the core indicator to measure the economic benefits of the wind farm.
It is understood that the cost of wind turbines accounts for 40% of the total construction cost of the wind farm. Therefore, under this cost squeeze, the wind turbine enterprises bear the most direct impact. However, it seems that there is still a downside in the profit of the whole machine has actually bottomed out - some media pointed out: in the recent wind level price demonstration project bidding, there is a bid price of nearly 3,000 yuan / kW, and the industry generally believes that the price of 3,000 yuan / kW unit Already "losing money to earn money".
Obviously, lowering the price of the whole machine is not the only way to obtain the optimal electricity cost, and it is not sustainable for the development of the industry. At the same time, as the developer is also changing the concept, and seeking a breakthrough from the operation and maintenance management method, and trying to promote the development of each link in the direction of intelligence and convenience through the Internet means, thereby enhancing the overall operational efficiency of the wind farm.
The traditional "fire-fighting" mode of operation and maintenance makes the operation of the wind farm opaque. The maintenance personnel are struggling to travel between the various wind fields, but they cannot find the "fire source". The failure of individual fans and the low-efficiency operation make the power loss invisible. Among them.
Some insiders pointed out that the gradual decline in the profitability of wind farms, the increase in the number of equipment, the increase in the operating data of wind turbines, the self-distribution of wind power and the uncontrollable characteristics will all become the pain points for the construction of smart wind farms.
Only when the data analysis is included in the decision support level, the above problems may be effectively solved. Li Qiang, chief engineer of Sany Heavy Energy and dean of the institute, believes that for the intelligent wind field with the cluster control as the core, the data is the basis of intelligent analysis. However, the number is not information. Only after analysis and processing can produce useful decision information, can the core application of the intelligent wind field be realized. In other words, a good smart wind farm solution should leanly tell customers from the perspective of data analysis, the reasons for the loss of electricity and the precise problem.
