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Guo Huilin,Yu Tingting,Zhao Lei,Qian Jun,Yu Jiahe,Zhang Yu,Teng Yongyue,Zhu Chunshui,Yang Tao,Chen Wenbin,Gong Picheng,Jiang Cuishuang,Gao Changfei,Yang Bing,Yang Chenyu 한국탄소학회 2023 Carbon Letters Vol.33 No.3
In this study, a bipolar visible light responsive photocatalytic fuel cell (PFC) was constructed by loading a Z-scheme g-C3N4/carbon black/BiOBr and a Ti3C2/MoS2 Schottky heterojunction on the carbon brush to prepare the photoanode and photocathode, respectively. It greatly improved the electron transfer and achieved efficient degradation of organic pollutants such as antibiotics and dyes simultaneously in two chambers of the PFC system. The Z-scheme g-C3N4/carbon black/BiOBr formed by adding highly conductive carbon black to g-C3N4/BiOBr not only effectively separates the photogenerated carriers, but also simultaneously retains the high reduction of the conduction band of g-C3N4 and the high oxidation of the valence band of BiOBr, improving the photocatalytic performance. The exceptional performance of Ti3C2/MoS2 Schottky heterojunction originated from the superior electrical conductivity of Ti3C2 MXene, which facilitated the separation of photogenerated electron–hole pairs. Meanwhile, the synergistic effect of the two photoelectrodes further improved the photocatalytic performance of the PFC system, with degradation rates of 90.9% and 99.9% for 50 mg L−1 tetracycline hydrochloride (TCH) and 50 mg L−1 rhodamine-B (RhB), respectively, within 180 min. In addition, it was found that the PFC also exhibited excellent pollutant degradation rates under dark conditions (79.7%, TCH and 97.9%, RhB). This novel pollutant degradation system is expected to provide a new idea for efficient degradation of multiple pollutant simultaneously even in the dark.
Zhang Jiaan,Lei Huilin,Li Zhijun,Li Gege 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.6
The renewable energy fl uctuation and load randomness can cause the change of power quality indexes. However, fi xed weight comprehensive evaluation of power quality and single objective optimization are usually used in present multifunctional grid-connected inverter (MFGCI), which may lead to the deterioration of power quality control eff ect and the low utilization rate of remaining capacity. Using the G1 method and mixed variable weight principle, a new comprehensive power quality evaluation method is proposed in this paper. According to the dynamic changes of source and load, the weight of each index is adjusted in real time, which realizes the comprehensive evaluation of power quality. Furtherly, taking the optimal comprehensive power quality index and the minimum compensation capacity of the inverter as the objective functions, the values of individual indexes are constrained, and the nondominated sorting genetic algorithm II (NSGA-II) is used to realize the multi-objective optimization. Finally, the correctness and eff ectiveness of the proposed strategy are verifi ed in MATLAB.