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A new energy-loss analysis based on multifactor disturbance theory was studied in this paper. Due to the strong coupling characteristic of steam turbine system, the disturbance factors were decoupled and categorized. The main steam pressure, main steam temperature, reheat steam temperature and exhaust steam pressure were categorized as the large independent disturbance factors, while the terminal temperature differences (TTDs) of the regenerative heaters were categorized as small independent disturbance factors. The single-factor calculation method for energy-loss of heater TTDs neglected the interaction between each heater, thus all heater should be considered as a whole system when calculating the energy-loss of TTDs changes. The energy-loss of large independent disturbance was calculated based on global variable condition calculation method. Through calculating the energy-loss caused by the classified disturbance factors, the relative errors between the theoretical value and operation value were -3.00% for100%THA (turbine heat acceptance), -9.75 for 75%THA and 16.47% for 50%THA. The relative errors meet the requirements of the onsite guidance. [ABSTRACT FROM AUTHOR]

For the accurate calculation of CO 2 emission in utility boilers, the calculation model of CO 2 emission suitable for most coal-fired boilers is built. In this model, BP neural networks were adopted to predict the carbon content of burning coal. This model took the proximate analysis data and fuel consumption flow / coal consumption as inputs, and output the CO 2 emission. Under the BP network prediction model, the average difference of carbon content of burning coal was about 1.80%, while that of CO 2 emission were 3.92% and 0.96%. Compared with emission factor method and capacity standard method, the method in this paper is more suitable to count the CO 2 emission of utility boilers. [ABSTRACT FROM AUTHOR]