India is a fast growing solar energy market, with huge market potential, so the company is layout for the Indian market, with its unique technological innovation to better meet the needs of customers.
according to relevant statistics show that 2018 can be called wind power listed companies performance best year in nearly a decade. At the same time, along with last year, abandon the wind rate and abandoned wind power double drop, the rise in China's wind power utilization, wind power market has to return to heat.
wind operator performance ascension has to wind power equipment business, past experience has shown that wind operator performance improvement, will boost its construction ability, thereby giving impetus to the performance of equipment business.
as the change of the global situation, wind power has become a popular way of generating slowly, but with the wind power accounted for gradually increase, the power supply of the instability and unpredictability has become the test of wind power generation system is facing more and more big. In order to further improve the stability and practicability of wind power generation, Google is proposed using machine learning methods, to predict the future power status, to supply reference.
Google since 2018, the meteorological observation data, weather forecast, and field measurement results Google DeepMind access to the machine learning platform, provides 36 hours of wind forecast, and its application in the home is located in the middle of the 700 mw wind farm. Although said it doesn't change air volume, but it can let Google forecast wind ahead of the next day is expected to provide the total power.
although wind power is extremely unstable, but it's not coping styles. However can at any time can standby for wind power generation gap in the way of generating are usually expensive. If we can step in advance know ahead of time in the future when there will be a gap, wind power plants will have plenty of time to start a long time to live means of power generation, and complementary to the wind. So Google results of this research is especially important, the study of Google also make their own wind electric power so that enhance the value of 20%.
Google the application example is given to illustrate the AI and machine learning has in various out of sight gradually deep into the various industrial processes, bring unexpected change for life.
although wind power technology in China has not received Google such a breakthrough, but at present, the domestic wind power industry technology narrowing the gap with international level, the part of the technology has reached the international advanced level. Fan technology, currently China's largest offshore fan impeller diameter up to 171 meters, for the global maximum value; Highest fan hub height has more than 150 meters, the longest fan blades up to 84 meters, power capacity of the largest offshore wind turbines to 8 megawatts, have reached the international advanced level. Operational technology, new sensor, pneumatic, fault prediction and analysis and other new technologies are widely used life, enhance the efficiency of the wind turbines and performance, promote the competitiveness of the market provides a reliable support to the industry.
see wind power market, the wind power industry market concentration in further ascension, the top five total lifting capacity of the whole machine manufacturers account for 73% of the new market share, up 9% year-on-year. At the same time, the overseas market to expand steadily. In 2018, China's wind power machine export total size 37. 60000 kilowatts, in Thailand, Argentina and other emerging market development has made positive breakthrough. By the end of 2018, China's wind turbines has exported to 36 countries, accumulative total shipments of 3. 58 million kilowatts.
the national renewable energy information management center is expected, since 2015, the wind power electricity price benchmarking TuiPo acceleration, parity, after 2021, be about to enter the Internet age.
there are brokers, according to the analysis of the cost of the onshore wind power system in China is about 7. 0 - 7. 5 yuan/W, considering the flagging cancel and units such as large-scale technological progress, 1 - onshore wind power system in China is expected to cost 2 years or reduced to 6. 0 - 6. 5 yuan/W, then 80% power consumption of the nation's area can achieve parity.