240
L. Ren et al.
Table 7.3 (continued)
Procedure
Technique
Underlying method (in Part)
Power demand side
management platform
Power grid boost
Power management center and
optimization
Rooftop PV power generation
Source Ma 2015; Li et al. 2017
industrial transformation, an intelligent steelmaking industry has become a crucial
technological option for higher efficiency enabled by management. The application
of intelligent approaches makes efficient, continuous and stable production possible
while reducing the resources and energy use as well as CO 2 emissions in the production process. BOF (focusing on blowing endpoint control technology, such as static
control model, auxiliary lance dynamic control technology, furnace gas analysis and
control system, slag stopping and slag testing, sonar slagging technology, etc.), EAF
(automatic loading of scrap steel, smart power supply, digital electrode control technology, automatic identification of slag clearance, foaming slag monitoring, temperature measuring and sampling, non-contact continuous temperature measurement
and continuous fume analysis, multifunctional furnace door robot, real-time furnace
monitoring including automatic steel tapping), continuous casting (quality control
and efficiency enhancement, including multifunctional casting platform robot, ladle
slag detection, automatic tundish casting, automatic control of crystallizer liquid
surface, online width adjustment of crystallizer, hydraulic pressure vibration of crystallizer, electromagnetic smelting, automatic remote roller’s gap adjustment of fanshaped segment, dynamic soft pressuring, automatic water distribution for secondary
cooling, energy-efficient flame-out billet cutting, size/weight specific billet cutting,
automatic cleaning of billet surface, etc.), workshop operation (tracking management of lables, molten iron temperature control/distribution, smart casting crane,
etc.), among other iron and steel industrial processes, are now given multiple technical options with the progress in testing and control hardware and AI algorithm
software. Leading steel plants such as Baosteel have made tremendous headway in
this respect (see Fig. 7.9) (Li 2019).
Energy conservation management in China’s iron and steel industry started with
energy consumption measurement, statistical study and establishment of the energy
use indicator system. For the production procedures concerning energy conservation management, 17 “energy conservation rules during production” were devised
in succession since 1979, accompanied by a rating and upgrading system which
helped save energy during production and within companies. With the creation and
improvement of energy management centers, energy management has also been put
to use in iron and steel industry (Forward (Qianzhan) Intelligence Co. 2016).
L. Ren et al.
Table 7.3 (continued)
Procedure
Technique
Underlying method (in Part)
Power demand side
management platform
Power grid boost
Power management center and
optimization
Rooftop PV power generation
Source Ma 2015; Li et al. 2017
industrial transformation, an intelligent steelmaking industry has become a crucial
technological option for higher efficiency enabled by management. The application
of intelligent approaches makes efficient, continuous and stable production possible
while reducing the resources and energy use as well as CO 2 emissions in the production process. BOF (focusing on blowing endpoint control technology, such as static
control model, auxiliary lance dynamic control technology, furnace gas analysis and
control system, slag stopping and slag testing, sonar slagging technology, etc.), EAF
(automatic loading of scrap steel, smart power supply, digital electrode control technology, automatic identification of slag clearance, foaming slag monitoring, temperature measuring and sampling, non-contact continuous temperature measurement
and continuous fume analysis, multifunctional furnace door robot, real-time furnace
monitoring including automatic steel tapping), continuous casting (quality control
and efficiency enhancement, including multifunctional casting platform robot, ladle
slag detection, automatic tundish casting, automatic control of crystallizer liquid
surface, online width adjustment of crystallizer, hydraulic pressure vibration of crystallizer, electromagnetic smelting, automatic remote roller’s gap adjustment of fanshaped segment, dynamic soft pressuring, automatic water distribution for secondary
cooling, energy-efficient flame-out billet cutting, size/weight specific billet cutting,
automatic cleaning of billet surface, etc.), workshop operation (tracking management of lables, molten iron temperature control/distribution, smart casting crane,
etc.), among other iron and steel industrial processes, are now given multiple technical options with the progress in testing and control hardware and AI algorithm
software. Leading steel plants such as Baosteel have made tremendous headway in
this respect (see Fig. 7.9) (Li 2019).
Energy conservation management in China’s iron and steel industry started with
energy consumption measurement, statistical study and establishment of the energy
use indicator system. For the production procedures concerning energy conservation management, 17 “energy conservation rules during production” were devised
in succession since 1979, accompanied by a rating and upgrading system which
helped save energy during production and within companies. With the creation and
improvement of energy management centers, energy management has also been put
to use in iron and steel industry (Forward (Qianzhan) Intelligence Co. 2016).