The dynamic models of steam generation system and power generation system are developed to study the dynamic characteristics of power-to-heat molten salt heat storage and power generation system, and the reliability of the models is validated. The dynamic characteristics of the system are analyzed for the disturbance of molten salt work temperature, flowrate and steam valve opening. Moreover, the performance of the system in the load reduction transient process is investigated in the 100%THA~50%THA load interval. The results show that, the main steam temperature and reheat steam temperature respond quickly to the molten salt temperature disturbance, and their response is obviously faster than that of the unit load and main steam pressure. The molten salt flowrate disturbance has a significant effect on the unit load and main steam pressure, and the unit load increases by 12.44% and the main steam pressure increases by 1.18 MPa with 15% increase in molten salt flowrate. The main steam valve opening controls the main steam pressure and load fluctuation. With the addition of the control system, the maximum load reduction rate of the unit in the 100%THA~50%THA load interval is 14%Pe/min with the limiting condition of temperature deviation.

Effective monitoring of chloride ion indicators in precision treated effluent plays a crucial role in ensuring the quality of the effluent, adjusting operational processes, and extending operating cycles. According to the theory of ion exchange equilibrium, the operating characteristics, effluent quality, and resin regeneration requirements of hydrogen type and ammonium type operation modes for precision treatment were analyzed and compared. Through laboratory simulation experiments and tracking experiments of the operating cycle of a precision treated mixed bed in a certain power plant, the migration characteristics of chloride ions in the effluent of precision treatment were mainly studied. The results show that, the requirement for regeneration degree of resin in the hydrogen stage is low, and the main focus of this stage is desalination, which is not prone to chlorine leakage. As the pH value of the effluent increases during the conversion stage, the requirement for resin regeneration also increases. When the condensate contains chloride ions, chloride ion displacement is prone to occur. During ammonium type operation, the mixed bed no longer focuses on desalination, and the mass concentration of chloride ions in the effluent is equivalent to that in the condensate. Therefore, effective monitoring of chloride ions is necessary for ensuring the quality of effluent water, especially during ammonium type operation. At the same time, using chloride ions as one of the monitoring indicators can not only ensure the quality of effluent water effectively, but also guide the adjustment of precision treatment operation process, and significantly extend the precision treatment operation cycle while ensuring the safe operation of the unit.

Co-firing biomass in coal-fired plants is considered as one of the important technologies for achieving carbon emission reduction. Based on the 660MW ultra-supercritical lignite coal fired plant in Inner Mongolia, this study conducted the first domestic experiment on co-firing cow manure. Cow manure is a typical herbaceous biomass. the first domestic large scale coal-cow manure co-combustion experiment in a 660 MW ultra supercritical lignite-fired power unit in Inner Mongolia was carried out. The ability of coal mill to grind biomass and coal mixed fuels was investigated, and the effect of mixing compacted cow manure on the milling performance was analyzed. Moreover, the effects of co-firing compacted cow manure on the combustion characteristics, unburned carbon content in fly ash, boiler efficiency, and pollutant emissions at different loads were studied. The results indicate that, without the addition of new devices, the change in coal mill current before and after co-firing 15% and 20% compacted cow manure with single coal mill changed slightly. With co-firing 15% compacted cow manure and the coal fineness R₂₀₀ increasing from 8.3% to 12.4%, the R₉₀ increased from 35.8% to 40.0%. With co-firing 20% compacted cow manure and the coal fineness R₂₀₀ increasing from 8.3% to 14.4%, the R₉₀ increased from 35.8% to 54.4%. The pressure difference between the coal mill inlet and outlet varied significantly and was closely related to the coal feed rate. With the furnace compacted cow manure co-firing ratio of 2.9% (15% co-firing with coal mill B) and 6.4% (20% co-firing with coal mill B), the changes of exhaust temperature before and after co-firing were both between 1.0~2.5 ℃. With the furnace compacted cow manure co-firing ratio of 7.1% (16.0% co-firing with coal mills B and D) and 8.7% (15% co-firing with coal mills B, C, and D), the exhaust temperature before and after co-firing increased by 3.3 ℃ and 3.6 ℃ at 450 MW and 550 MW, respectively, which was significant. At 250 MW, 450 MW, and 550 MW loads, the change of CO mass concentration was less than 5 mg/m³, and the decrease in boiler thermal efficiency before and after co-firing remained 0.06~0.28 percentage points. Co-firing compacted cow manure can reduce NO_x and SO₂ emissions. When the mixing ratio of compacted cow manure on two and three coal mills was 15% and 20%, the annual CO₂ emission reduction would be 140 312, 210 467, 160 356 and 240 534 tons, respectively.

A comparative test was conducted on operating oil samples from wind turbine gear oil and a fresh oil sample, revealing that the Fe³⁺ content was the most rapidly deteriorating indicator. The SG-PEI adsorbent was prepared by loading polyethyleneimine (PEI) onto a silica gel material (SG) through impregnation modification, and its characteristics were evaluated. The adsorption isotherms and kinetics of Fe³⁺ on SG-PEI were thoroughly investigated. The results indicated that, the adsorption isotherm of Fe³⁺ on SG-PEI conforms to Langmuir model. The saturated adsorption capacity of SG-PEI for Fe³⁺ was 28.71 mg/g, representing a 39.2% improvement compared to SG (20.63 mg/g). The adsorption process of Fe³⁺ on SG-PEI adhered to the pseudo-second-order kinetic model, with adsorption process occurring as a spontaneous exothermic reaction. Under optimal conditions of an adsorption temperature of 60 ℃, an adsorption time of 120 min, and an oil-adsorbent ratio of 100:3, the removal rate of Fe³⁺ from wind turbine gear oil by SG-PEI reached 96.23%, which is 29.43 times higher than that of the 801 adsorbent (3.27%) and 185.06 times higher than that of Al₂O₃ (0.52%). The SG-PEI has a good prospect for applications due to its high adsorption capacity and selectivity for Fe³⁺.

Improving the flexibility of coal-fired power units is the key to achieving a green and low-carbon power system. Molten salt energy storage technology, as a sensible heat energy storage technology, can provide frequency regulation, peak regulation, and industrial heating decoupling support for power generation units. Combining with the engineering application of a coal-fired power unit coupled with molten salt energy storage, the thermal performance of heat storage, heat release and energy cycling are systematically analyzed, and performance evaluation indicators are proposed. The results show that, the molten salt thermal storage system significantly enhances the flexible operation capability of the unit, achieves decoupling between industrial steam supply and deep commissioning peak of the unit, and improves the frequency regulation performance by 150%. The thermal efficiency of the thermal storage system is maintained at around 92%. This study provides a reference for the application of flexibility renovation projects for coal-fired power plants based on molten salt thermal storage technology.

To solve the problems of slagging and burner burnout caused by lean coal boilers which convert to firing Shenhua bituminous coal, a 600 MW supercritical opposed firing boiler was taken as the research object. Through thermal calculation and numerical simulation analysis, a feasibility study for the combustion system retrofit scheme was carried out with emphasis. The results show that, by adopting differentiated heat load design, inclined installation of side wall burners into the furnace, and multiple dimensions of wall mounted wind, the heat load in the burner area reduced from 1.71 MW/m² to 1.44 MW/m², and the flue gas temperature at the furnace outlet decreased from 1 058 ℃ to 1 010 ℃. The performance test results after the retrofit show that at rated load, the unburnt carbon content of coal ash decreased from 6.06% to 1.42%, the boiler efficiency increased from 92.76% to 94.03%, and the NOx emissions at the furnace outlet reduced by 50%~60% at various loads. The boiler can operate safely and efficiently for a long period. The proposed transformation technology scheme has guiding significance for the optimization and retrofit of combustion systems of similar units under the condition of converting low volatile coal to bituminous coal.

A resin-based solid amine adsorbent was prepared based on in-situ synthesis technology. The effects of air humidity (30%~90%), adsorption temperature (30~90 ℃) and adsorption time on the adsorption performance of CO₂ were investigated. Moreover, the adsorption kinetic characteristics of the adsorbents at different air humidities were studied. The results showed that, the maximum CO₂ adsorption capacity of the resin-based solid amine adsorbents in the air reached 2.38 mmol/g, and the air humidity and adsorption temperature had significant effects on the adsorption rate. The optimal adsorption efficiency was obtained when the air humidity was higher than 50% and the adsorption temperature was 25~50 ℃. The adsorbent exhibits very good cycle stability due to its excellent high temperature resistance.

Computational fluid dynamics-chemical reactor network (CFD-CRN) simulation is a suitable method for predicting NO_x emissions from gas turbines. A universal CRN automatic partitioning/solving program was developed and then applied and verified on a natural gas micro-mixing combustor. Through analysis of flow and combustion characteristics in the micro-mixing combustor based on CFD simulation, CRN partitioning criteria are established: firstly, the air and fuel zones are extracted, then major zones along the axial direction are divided, and further the zones are subdivided radially/circumferentially according to fuel-staging locations. The results indicate that, the CRN automatic partitioning/solving program enhances generality by using an XML standardized information interface and is suitable for complex combustor structures. The relative error between the predicted and experimental NO_x emissions under different operating conditions of the micro-mixing combustor is less than 11%, and the influence of CFD grid number on the NO_x prediction by CRN is relatively small. The effect of fuel distribution ratio on NO_x emissions from micro-mixing combustor is analyzed, and a suitable adjustment range is given. The proposed CRN automatic partitioning/solving algorithm has potential applications in predicting NO_x emissions from gas turbines.

With the rapid development of energy storage industry and the continuous increase in the installed capacity of energy storage power stations, safety accidents in electrochemical energy-storage power stations have become increasingly frequent, and safety issues have gradually become a key factor restricting the large-scale development of the industry. Therefore, the current policies and standards related to safety risk assessment of electrochemical energy storage power stations at home and abroad are systematically reviewed at first. Then, by analyzing typical safety incidents of electrochemical energy storage power stations, the safety risk points of such power stations are summarized. Based on this, the research progress of the theory and evaluation methods of safety risk assessment of electrochemical energy storage power stations is summarized, from the aspects of battery body, power station working environment, external stimulation and human factors. Finally, the safety development of energy storage power stations in the future is discussed from improving the safety evaluation policies and standards of energy storage power stations, enhancing the construction of the safety assessment system for energy storage power stations, improving the safety and operation management system of energy storage power stations, and strengthening the cultivation of professionals in the energy storage field. It is hoped that this will provide some references for subsequent related researches.

It is crucial to improve the dynamic performance of the yaw system of wind turbines in multiple operating scenarios. Therefore, a predictive control strategy for wind turbine yaw system model based on reinforcement learning is proposed, which achieves multi-objective parameter dynamic optimization through the dual-delay depth deterministic policy gradient (TD3) algorithm. Firstly, a multi-step model predictive controller for the yaw system (YMPC) is established to address the conflicting control objectives of power loss rate and yaw actuator utilization rate. Secondly, based on the optimization objectives and wind conditions of the yaw system, a dual-delay depth deterministic strategy gradient (TD3) intelligent agent is designed to determine the input state, action, and reward mechanism of the YMPC. The TD3 intelligent agent is then used to tune the weight coefficients and control step size of the YMPC. Finally, the effectiveness of this method was validated using typical daily data from wind farms in northern China. The results indicate that the proposed strategy significantly improves the overall performance of the yaw system compared with the YMPC with fixed control parameters.