Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action
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Dive into the research topics where Heming Dong is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Coupled modeling and experimental study of three-stage mass transfer in porous materials: From forced convection to micropore diffusion
Peng, Y., Gao, J., Du, Q., Zhang, Y., Dong, H. & Xie, M., 18 Feb 2026, In: Separation and Purification Technology. 381, 135500.Research output: Contribution to journal › Article › peer-review
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Enhancing thermal power unit flexibility with a novel compressed CO2 energy storage system
Cao, J., Gao, J., Gao, H., Du, Q., Dong, H. & Zhang, Y., 1 Jan 2026, In: Applied Thermal Engineering. 282, 128887.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
Review: Scenario-specific applications of direct air capture technology and system optimization approaches
Zhou, Z., Gao, J., Zhang, Y., Liu, W., Tang, Z., Zhou, Q., Du, Q. & Dong, H., Jan 2026, In: Renewable and Sustainable Energy Reviews. 226, 116270.Research output: Contribution to journal › Review article › peer-review
Open Access -
Strategy for the design and operation regulation of compressed gas energy storage system based on a comprehensive comparison between four different systems: Thermodynamic analysis and machine learning
Li, Y., Gao, J., Xie, M., Zhang, Y., Dong, H., Du, Q. & Zhang, S., 1 Feb 2026, In: Renewable Energy. 257, 124794.Research output: Contribution to journal › Article › peer-review
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A method for reverse-inferring fuel gas composition from flue gas information based on residual network and physical constraints
Ma, S., Gao, J., Huang, B., Dong, H., Yang, X., Li, X., Du, Q. & Han, L., 30 Sep 2025, In: Energy. 332, 137122.Research output: Contribution to journal › Article › peer-review