![]()
孙文强
-
教授
博士生导师
硕士生导师
- 教师拼音名称：Sun Wenqiang
访问量：
-
傅文煜, 孙文强, 王连勇. 煤气化渣的应用研究进展. 环境工程, 2023, 41(12): 319–328.
-
Wang J, Wang Q, Sun W. Quantifying flexibility provisions of the ladle furnace refining process as cuttable loads in the iron and steel industry. Applied Energy, 2023, 342: 121178.
-
Ma S, Sun W. Design and experimental investigation of a natural gas burner for pellet rotary kilns. International Journal of Oil, Gas and Coal Technology, 2023, 34(2): 173–186.
-
Wang J, Wang Q, Sun W. Optimal power system flexibility-based scheduling in iron and steel production: A case of steelmaking–refining–continuous casting process. Journal of Cleaner Production, 2023, 414: 137619.
-
Liu SH, Sun WQ, Li WD, Jin BZ. Prediction of blast furnace gas generation based on data quality improvement strategy. Journal of Iron and Steel Research International, 2023, 30(5): 864–874.【期刊2024年度优秀论文】
-
Liu S, Sun W. Attention mechanism-aided data- and knowledge-driven soft sensors for predicting blast furnace gas generation. Energy, 2023, 262: 125498.
-
房晓晴, 刘书含, 孙文强. 高炉煤气管网水力建模及调度策略. 东北大学学报(自然科学版), 2023, 44(1): 69–75.
-
王强, 孙文强, 徐宪东, 周越, 吴建中, 蔡九菊. 钢铁工业钢包精炼炉(LF炉)作为可削减负荷的灵活性评估. 材料与冶金学报, 2022, 21(2): 150–156.
-
Zhang H, Sun W, Li W, Ma G. A carbon flow tracing and carbon accounting method for exploring CO2 emissions of the iron and steel industry: An integrated material–energy–carbon hub. Applied Energy, 2022, 309: 118485.【ESI高被引论文】
-
刘书含, 孙文强, 石晓星, 范天骄, 谢国威, 蔡九菊. 基于BP神经网络的热风炉群煤气消耗量预测. 中国冶金, 2022, 33(2): 77–83.
