东北大学主页平台 Sun Wenqiang--Home--Paper Publications

Sun Wenqiang

Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Name (English):Sun Wenqiang
Name (Pinyin):Sun Wenqiang
Business Address:Room606, Zhixing Building

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Paper Publications

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[11]Fang X, Sun W, Li W, Ma G. Life cycle assessment of carbon footprint in dual-phase automotive strip steel production. Environmental Science and Pollution Research, 2024, 31(17): 26300–26314.
[12]Fang X, Sun W, Li W, Ma G, Wang P, Zuo C. Process-based life cycle inventory framework for assessing the carbon footprint of products from complex production paths: Case of dual-phase automotive strip steel. Journal of Cleaner Production, 2024, 447: 141551.
[13]Wang J, Sun W. Decomposition of the site-level energy consumption and carbon dioxide emissions of the iron and steel industry. Environmental Science and Pollution Research, 2024, 31(11): 16511–16529.【ESI高被引论文】
[14]Fu W, Sun W, Huo X. Design and thermodynamic investigation of a waste heat-assisted compressed air energy storage system integrating thermal energy storage and organic Rankine cycle. Energy Technology, 2024, 12(2): 202300838.
[15]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.
[16]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.
[17]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.
[18]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.
[19]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】
[20]Liu S, Sun W. Attention mechanism-aided data- and knowledge-driven soft sensors for predicting blast furnace gas generation. Energy, 2023, 262: 125498.

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