The numerical simulation was used to analyze Albania TITAN project, a 3300 t/d new dry-process cement clinker production line with a ? 4.4m×65m rotary kiln, which was completed by CBMI. Mathematical models were established for the kiln coating, refractory bricks, castables and kiln shell and heat transfer among these parts were simulated. The results show that a thicker kiln coating results in a lower temperature of the kiln shell and a less heat loss. The kiln shell surface temperature on both sides of tire No.2 is higher than that of tire No.3, therefore the air flow of cooling fans should be increased properly for tire No.2 to avoid tire deformation and severe thermal expansion. The kiln shell surface temperature near tire No.2 at the kiln inlet side is higher, thus adding two cooling fans is suggested. The number of cooling fans should be reduced appropriately to reduce the power consumption when the coating thickness remains stable during a period of normal and continuous production. It is found that 720 kWh of electricity can be saved per day when four shell cooling fans are turned off.

Steel slag mud is a byproduct generated after the wet ball milling and magnetic separation of BOF slag, whose hydraulic cementitious property is relatively poor. The physical and chemical activation technologies of steel slag mud were introduced. The experimental results show that physical activation can significantly improve the mud activity. The stimulating agent, such as gypsum and its related products, shows good chemical activation effect on the mud. When mixed with 4% plaster of Paris or 5% natural gypsum, the activity of mud powder can meet the national standard for the first-class micro-powder. Complementarities exist between the mud powder and the slag powder, both of which can be mixed in proper proportions to produce steel slag cement. The slag powder favors the increase of mechanical properties while the mud powder improves the volume stability of steel slag cement. 

The waste heat boilers in cement plants for pure low temperature waste heat power generation were arranged dispersedly and the steam production was low. To solve those problems, Sinoma Energy Conservation Ltd. developed a new type of integrated dual-pressure reheat waste heat boiler with double intake. Because of unique designs of setting chamber, groove separator, double intake from the bottom, high-pressure superheater, low-pressure superheater and high-pressure reheater, the size of this waste heater boiler is reduced effectively and its steam production is increased, further improving the performance of the cement kiln cogeneration system.

The power generation efficiency of waste heat power generation system is determined by the flue gas temperature out of the preheater system for the new dry process cement production line. A higher flue gas temperature is helpful for waste heat power generation, while the coal consumption is increased, and vice versa. Taking Chizhou Hailuo and Tangshan Jidong cement plants for examples, the ratio of coal consumption to electricity output was compared to decide whether 4-stage or 5-stage preheater is more reasonable for the waste heat power generation system.

A procedure was developed for the determination of five toxic trace elements, namely Cu, Pb, Zn, Cd and Mn in solid waste by Atomic Absorption Spectrometry (AAS). The microwave digestion conditions, sample weight, detection media and instrument condition were investigated. The sample was treated by HNO₃-HF digestion and HClO₄ was chosen to destroy organic matter. Under specific experimental conditions, the above-mentioned five trace elements in the same sample were analyzed continuously by AAS. Under the optimal operational conditions of the instrument, method detection limits for Cu, Pb, Zn, Cd and Mn are 0.037, 0.294, 0.030, 0.015 and 0.022mg/L, respectively. The relative standard deviations (RSD) for Cu, Pb, Zn, Cd and Mn are 3.1%, 2.5%, 4.0%, 6.6% and 4.2%, respectively. In comparison with the national primary reference materials, the results show good agreement with standard values. This simple and reliable method can be applied for batch sample analysis.