1. wide load peak regulation and AGC characteristic optimization (DCS intelligence upgraded to ICS)

■ Key technologies

(1) Low load steady burning and AGC fast response module;

(2) Primary frequency modulation and CCS feature enhancement module;

(3) Heat-power conversion and decoupling problems, fuel calorific value correction;

(4) Low-load adaptation modules;

(5) Unit inertia correction module.

■ Expected effect

(1) AGC\ primary frequency modulation upgrade qualification rate>90%; annual power grid award of about 8 million RMB;

(2) Improved energy efficiency of the unit, reduced system power consumption and decreased smoke loss and ammonia injection amount, to realize annual income about 500k RMB;

(3) Achieve AGC and primary frequency modulation under minimum stable burning, to be granted by 30 million RMB for peak regulation.

2. visualized boiler chamber intelligent safety monitoring and optimized burning system

■ Key technologies

(1) Real-time dynamic boiler chamber temperature field distribution and smoke composition change, establish dynamic data model of furnace temperature field and smoke composition;

(2) Real-time diagnosis with three dimensions (safety, efficiency, environmental protection) on boiler chamber burning, AI control on dual-scale burning process, multi-source intelligent burning optimization control;

(3) Intelligent judgment of boiler chamber temperature field, CO, CO2, NOx and burning intensity spectrum, and intelligent burning optimization and adjustment.

■ Expected effect

(1) Achieve 30% low load steady burning problem, to prevent unstable burning MFT;

(2) Reduce NOx at the boiler chamber outlet by at least 25%, and save ammonia consumption by 30%;

(3) Dynamically regulate the burning process, flatten the temperature peak, effectively formulate coking, and improve combustion efficiency by about 0.5%;

(4) Comprehensively considering contributions on safety, load, ammonia consumption and power grid awards, the yearly income is no less than 8 million RMB.

3. micropower-based multi-source intelligent sliding pressure optimization system

■ Key technologies

(1) High-pressure cylinder governing valve flow characteristic test and dynamic calculation of throttling loss; combined power consumption model of high-pressure cylinder efficiency and high-pressure cylinder governing valve; matching calculation model of feed pump power consumption and high-pressure cylinder governing valve throttling loss;

(2) High-pressure cylinder governing valve loss, high-pressure cylinder efficiency and boiler reheater desuperheating water coupling model and economic accounting;

(3) Simulation of coal consumption big data coupled valve position self-adaption optimal sliding pressure curve model.

■ Expected effect

(1) Establish the optimal sliding pressure curve and dynamic adaptation model of the unit to improve the overall efficiency of the unit, contributing about 1 million RMB annually;

(2) Support the AGC flexibility and primary frequency modulation capability of the unit, and improve the “load-varying spot transaction” capability by 40%, contributing about 7.5 million RMB annually;

(3) Support improvement of the primary frequency modulation capability and obtain the power grid reward. In combination with increase in energy efficiency of the unit, AGC following capability and the primary frequency modulation, the annual contribution is no less than 8.5 million RMB.

4. dynamic heat load based multi-source coupled intelligent soot blowing system

■ Key technologies

(1) Cleaning factor and fouling factor test accounting, process mechanism modeling; statistical modeling of key indicators;

(2) Temperature field distribution and thermal process correlation model, process accounting and triggering engine; thermal process causal modeling;

(3) Safety, environmental protection and economy 3D mechanism model triggering engine; system correlation data, environmental parameter mapping model;

(4) Smoke corridor mechanism, judgment characteristics, mechanism and judgment big data model engine; multi-source coupling modeling and simulation.

■ Expected effect

(1) Reduce steam consumption after intelligent soot blowing by 30% to prevent over-blowing accidents;

(2) Support boiler system optimization and increase boiler load capacity by 30%;

(3) Effectively support the body maintenance strategy, improve boiler efficiency by 0.3%, and increase annual revenue by approximately 1.26 million RMB;

(4) Eliminate boiler coking and flue gas corridors, and avoid local smoke exhausting. Considering steam saving, boiler efficiency and load contribution, the annual comprehensive income is about 5 million RMB.

5. Boiler burning safety and comprehensive efficiency improvement

■ Key technologies

(1) Comprehensively calculate the boiler heat load, section heat load and heat load condition of the burning area, establish a 3D furnace model of safety, high efficiency and environmental protection, and transform the burner and auxiliary wind system;

(2) Combining burner, coal quality and boiler layout, establish a double-scale model of in-boiler burning process, effectively control boiler coking, improve boiler burning efficiency, and reduce boiler chamber exit NOx emissions;

(3) Design a unique burner combination to improve the adaptability of the boiler coal type, supplemented by the system's cold and hot state debugging, to form a new burning control adjustment strategy.

■ Expected effect

(1) Completely solve the coking problem, quickly attachment of 75% of the load, and achieve an increase of 432 million KWH (according to 85% load in the non-heating period);

(2) NOx is less than 260mg below 50% load, less than 160mg/Nm3 above 75% load; ammonia injection is reduced by 25% in each load section;

(3) Improve the wide adaptability of boiler coal types, achieve full load without coking, effectively control NOx of each load, and improve boiler comprehensive indicators;

(4) Achieve the best dynamic coordination of 3D ("safety/high efficiency/environmental protection”) of boilers, with the annual comprehensive contribution at least 10 million RMB.

6. Visualized boiler anti-wear and explosion-proof intelligent safety pre-control system

■ Key technologies

(1) 3D dynamics of heating surfaces of the four tubes of the boiler, digital twinning coupled with online and offline data, automatic sending of the risk of wear, deterioration and failure of the four tubes;

(2) Mechanism model of life and wear of four tubes and AI of big data expert knowledge base;

(3) Configure special sensors and special monitoring instruments.

■ Expected effect

(1) Establish a heating surface wear mechanism model and a hybrid model test;

(2) Intelligent planning of four-tube inspection items reduces the monitoring cost by 50%; optimization of boiler overhaul to generate at least 48 hours of start-up time;

(3) Innovative anti-wear and explosion-proof management and control mode realizes dynamic visualized supervision, reduces boiler accidental pipe burst accidents by more than 80%, and indirectly generates annual income of at least 7.5 million RMB.