As of January 13, 100 waste incinerators in nearly 30 cities across the country had been equipped with Alibaba cloud industrial brain. It is understood that through AI technology, the environmental protection index of domestic waste incineration is more stable, the unit power generation is increased, and 360 million kwh of green power can be generated throughout the year, which is equivalent to the power generation of a medium-sized hydropower station.
Waste incineration power generation is an important means of reducing, harmless and recycling domestic waste. However, the composition of domestic waste is complex and the calorific value varies widely, which makes it difficult to realize high automation of waste power generation. In order to stabilize the indexes such as flue gas emission and steam flow within a certain range, the incinerator needs to be adjusted and controlled manually. However, a large amount of human investment has not effectively solved the fluctuation of relevant indicators.
Zheneng Jinjiang environmental domestic waste power plant in Gaomi, Shandong
Li Kai, the shift chief operator of zheneng Jinjiang environmental domestic waste power plant located in Gaomi City, Shandong Province, was deeply touched by this. "The changes of garbage composition, season and weather will greatly fluctuate the loading temperature, oxygen content, feed water and evaporation in the incinerator." Li Kai told dazhong.com · poster news reporter that in order to maintain stable combustion and make flue gas emission meet environmental protection requirements, the work of incinerator attendant is very heavy. He needs to sit in front of the computer "monitoring panel" all the time and carry out manual operation and adjustment all the time. There are tens of thousands of operations in a day.
Last December, two incinerators of Gaomi domestic waste power plant were officially launched on Alibaba cloud industrial brain AICS platform. Li Kai found that after the platform goes online, the original "disk monitoring" tasks can basically be handed over to Alibaba cloud. Manual intervention is required only in case of garbage "clutching". "When everything is stable, the supervision workload of front-line operators is reduced by 60%."
Li Kai said that the AICS intelligent control system of Alibaba cloud's industrial brain can predict the change trend of more than ten variables in the waste incinerator by learning historical data, identifying flame shape information and building prediction models, and automatically issue control commands to the equipment, realizing the automatic operation of the incinerator and helping us solve the two major problems of environmental protection and power generation efficiency.
He also cited water level control as an example. "In the past, the operator on duty had to wait until the water level dropped. There was a certain lag, but after putting Alibaba cloud's industrial brain into operation, the system can automatically adjust in real time, and the water level operation curve is very stable." Li Kai said that the environmental protection indicators such as hydrogen chloride, sulfur dioxide and carbon monoxide will be synchronized to the detection center of the Ministry of ecological environment in real time, which is also close to a straight line, far lower than the hourly average required by the national environmental protection requirements.
With the improvement of combustion stability, the stability of steam quantity is increased by 44%, and the steam quality is also significantly improved. "This means that we can provide more green power when burning the same amount of garbage, which is a kind of carbon emission reduction in itself." Wang Rupei, deputy manager of zheneng Jinjiang environmental enterprise management department, said.
The reporter of dazhong.com · poster news learned that at present, 100 waste incinerators in nearly 30 cities across the country have been introduced into Alibaba cloud industrial brain. According to Kong Lingxi, general manager of Alibaba cloud intelligent manufacturing and energy power technology, the efficiency of domestic waste power generation can be improved through AI technology, and 360 million kwh of green power can be generated in the whole year.
After the introduction of Alibaba cloud industrial brain, the operation stability of the incinerator has been greatly improved
"This means that the same amount of waste can generate more green electricity, which is itself a kind of carbon emission reduction." Wang Zonglin, head of China energy conservation Fuzhou domestic waste power plant, said. In Jiangxi, Fuzhou became the first city in the province to introduce AI technology for domestic waste power generation. By installing an industrial brain on the incinerator, the automatic operation rate can reach more than 95%, the stability can be improved by 30%, the risk of excessive flue gas emission is reduced, the steam quality and power generation efficiency are improved, and the daily power generation can be increased by at least 16200 degrees.
According to the development plan of urban domestic waste classification and treatment facilities in the 14th five year plan, by the end of 2025, the proportion of national urban domestic waste incineration capacity should be increased to 65%. At the same time, the upgrading and transformation of incineration facilities should be accelerated, the incineration treatment technology should be optimized, and the environmental protection level of facility operation should be further improved.
Xu Shijun, vice president of Alibaba group, said that Alibaba cloud will open its core competencies to the industry and work with industry experts and energy enterprises to promote green, low-carbon and efficient waste power generation.
It is understood that by the end of this year, industrial technology will be applied to about 300 waste incinerators in China. In addition to the transformation and upgrading of incinerators, Alibaba cloud industrial brain will further improve all links of waste power generation, realize the whole plant intelligence of waste power generation and improve the comprehensive thermal efficiency of waste power generation.
