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Highly efficient visible-light-responsive ternary graphitic carbon nitride (g-C3N4)/NaTaO3/biomass carbon (BM-C) photocatalysts with different g-C3N4 amounts were prepared via a solvothermal method combined with a high-temperature sintering method. Herein, the crystal structure and morphology of g-C3N4/NaTaO3/BM-C are investigated in detail. The light-response characteristics of g-C3N4/NaTaO3/BM-C composites are effectively extended into the visible-light region. Compared with NaTaO3/BM-C and g-C3N4/NaTaO3, the g-C3N4/NaTaO3/BM-C composite showed high visible-light catalytic performance when the mass ratio of melamine (the g-C3N4 precursor) to binary NaTaO3/BM-C is 4:1, and the degradation extent of 95.85% for Rhodamine B can be reached in 60 min under visible-light irradiation. In addition, the photocatalytic mechanism showed that the enhanced photocatalytic activity of the composite may be attributed to the introduction of g-C3N4, which expanded the visible-light response range and the formation and effect of a good synergistic effect of BM-C and various components. This work provides useful insights for promoting the practical process of sodium tantalate photocatalytic materials. [ABSTRACT FROM AUTHOR]

With the development of new energy, the primary frequency control (PFC) is becoming more and more important and complicated. To improve the reliability of the PFC, an evaluation method of primary frequency control ability (PFCA) was proposed. First, based on the coupling model of the coordinated control system (CCS) and digital electro-hydraulic control system (DEH), principle and control mode of the PFC were introduced in detail. The simulation results showed that the PFC of the CCS and DEH was the most effective control mode. Then, the analysis of the CCS model and variable condition revealed the internal relationship among main steam pressure, valve opening and power. In term of this, the radial basis function (RBF) neural network was established to estimate the PFCA. Because the simulation curves fit well with the actual curves, the accuracy of the coupling model was verified. On this basis, simulation data was produced by coupling model to verify the proposed evaluation method. The low predication error of main steam pressure, power and the PFCA indicated that the method was effective. In addition, the actual data obtained from historical operation data were used to estimate the PFCA accurately, which was the strongest evidence for this method. [ABSTRACT FROM AUTHOR]