Qiang Song
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Qiang Song has a total of 156 co-authors. Here are the top co-authors by number of shared publications:
- Qiang Yao
Tsinghua University
45 shared publications Qiang Yao
Key Laboratory of Thermal Science and Power Engineering of Ministry of Education, Tsinghua University, Beijing 100084, China; School of Electric Engineering, Xinjiang University, Urumqi 830047, China
17 shared publicationsBingqiang Ji
11 shared publicationsAo Wang
8 shared publicationsDong Liu
Key Laboratory of Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, 100084 Beijing, China
7 shared publicationsGuo-Chang Song
Wisdri City Environm Protect Engn Co Ltd, Wuhan, Peoples R China
7 shared publications
Latest Publications
- Open Access
An Ejector Refrigeration and Humidification–Dehumidification Desalination Hybrid System for Ceramic Industry Waste Heat Recovery: Performance Evaluation and Parametric Analysis
The sustainable development of the ceramics industry is severely impeded by its intensive energy consumption and the concomitant deficits in cooling and freshwater resources. To address these bottlenecks, this study proposes an integrated ejector refrigeration (ER)–humidification–dehumidification (HDH) hybrid system, harnessing ceramic waste heat as the driving energy source to improve overall energy efficiency. A thermodynamic model was developed to analyze the heat transfer characteristics of the ER-HDH system. Comprehensive investigation focuses on the influences of key operating parameters on refrigeration performance, desalination output and overall system efficiency. The results demonstrate that the proposed ER–HDH hybrid system facilitates the efficient thermodynamic cascading of waste heat from both flue gas and internal thermodynamic processes, achieving a high energy utilization factor (EUF) of 0.64 and an exergy efficiency ηEx of 15.7%. The freshwater yield significantly outperforms that of a standalone HDH system, with the gain output ratio (GOR) more than tripling. The system performance is optimized under elevated generator and evaporator temperatures (Tg and Te), coupled with a reduced condenser temperature Tc. Across their respective tested ranges, the EUF increases by averages of 19.1%, 45.1% and 38.9%. Furthermore, raising the feed seawater temperature Tsw_in significantly elevates the moist air humidity ratio, which in turn drives substantial enhancements in GOR and EUF, by over 83.2% and 58.1%, respectively. Te and Tsw_in should be prioritized to enhance refrigeration and freshwater productions, respectively, while Tc serves as the key determinant for maximizing ηEx. This study introduces an open dual-cascade ER-HDH system for mid/low-grade flue gas utilization and elucidates the distinct thermodynamic mechanisms governing subsystem interactions, and it addresses a critical knowledge gap in prevalent closed-loop solar-driven ER-HDH systems.
Open AccessAn Ejector Refrigeration and Humidification–Dehumidification Desalination Hybrid System for Ceramic Industry Waste Heat Recovery: Performance Evaluation and Parametric Analysis
The sustainable development of the ceramics industry is severely impeded by its intensive energy consumption and the concomitant deficits in cooling and freshwater resources. To address these bottlenecks, this study proposes an integrated ejector refrigeration (ER)–humidification–dehumidification (HDH) hybrid system, harnessing ceramic waste heat as the driving energy source to improve overall energy efficiency. A thermodynamic model was developed to analyze the heat transfer characteristics of the ER-HDH system. Comprehensive investigation focuses on the influences of key operating parameters on refrigeration performance, desalination output and overall system efficiency. The results demonstrate that the proposed ER–HDH hybrid system facilitates the efficient thermodynamic cascading of waste heat from both flue gas and internal thermodynamic processes, achieving a high energy utilization factor (EUF) of 0.64 and an exergy efficiency ηEx of 15.7%. The freshwater yield significantly outperforms that of a standalone HDH system, with the gain output ratio (GOR) more than tripling. The system performance is optimized under elevated generator and evaporator temperatures (Tg and Te), coupled with a reduced condenser temperature Tc. Across their respective tested ranges, the EUF increases by averages of 19.1%, 45.1% and 38.9%. Furthermore, raising the feed seawater temperature Tsw_in significantly elevates the moist air humidity ratio, which in turn drives substantial enhancements in GOR and EUF, by over 83.2% and 58.1%, respectively. Te and Tsw_in should be prioritized to enhance refrigeration and freshwater productions, respectively, while Tc serves as the key determinant for maximizing ηEx. This study introduces an open dual-cascade ER-HDH system for mid/low-grade flue gas utilization and elucidates the distinct thermodynamic mechanisms governing subsystem interactions, and it addresses a critical knowledge gap in prevalent closed-loop solar-driven ER-HDH systems.
- 4 August 2026
- Published by American Chemical Society (ACS) in Journal of Chemical & Engineering Data
- Vol. 71 (8) , 3472-3488
Speed of Sound and Derived Virial Coefficients of Difluoromethane (R32) + trans -1,3,3,3-Tetrafluoropropene (R1234ze(E)) and Difluoromethane (R32) + Hexafluoropropylene (R1216) Binary Mixtures in Vapor Phase
Binary mixtures of difluoromethane (R32) with hydrofluoroolefins (HFOs) possess excellent thermodynamic performance and low global warming potential, supporting the reduction of hydrofluorocarbons (HFCs) usage. In this work, the gaseous speed of sound was measured for R32 + trans-1,3,3,3-tetrafluoropropene (R1234ze(E)) and R32 + hexafluoropropylene (R1216) at temperatures (303.15 to 363.15) K and pressures up to 1063 kPa, with relative expanded uncertainties (k = 2) of 0.022% and 0.026%, respectively. For R32 + R1234ze(E), comparisons with two dedicated models revealed opposite trends: one model systematically overpredicted the speed of sound (positive bias), whereas the other underpredicted it (negative bias). This implies that both models require refinement for gas-phase thermodynamic properties, especially for the gaseous speed of sound. A universal acoustic truncation virial equation was developed using critical parameters and molecular structure parameters. For R32 + R1234ze(E), within the experimental range, this acoustic equation outperformed the two dedicated models. For R32 + R1216, deviations between the acoustic virial equation and experimental data increased with pressure, suggesting inaccuracies in the critical parameters and molecular structure parameters of R1216. Finally, acoustic virial coefficients were derived from the experimental speed of sound. These results provide essential benchmarks for developing and improving dedicated models for these mixtures.
- 4 August 2026
- Published by American Chemical Society (ACS) in Journal of Chemical & Engineering Data
- Vol. 71 (8) , 3472-3488
Speed of Sound and Derived Virial Coefficients of Difluoromethane (R32) + trans -1,3,3,3-Tetrafluoropropene (R1234ze(E)) and Difluoromethane (R32) + Hexafluoropropylene (R1216) Binary Mixtures in Vapor Phase
Binary mixtures of difluoromethane (R32) with hydrofluoroolefins (HFOs) possess excellent thermodynamic performance and low global warming potential, supporting the reduction of hydrofluorocarbons (HFCs) usage. In this work, the gaseous speed of sound was measured for R32 + trans-1,3,3,3-tetrafluoropropene (R1234ze(E)) and R32 + hexafluoropropylene (R1216) at temperatures (303.15 to 363.15) K and pressures up to 1063 kPa, with relative expanded uncertainties (k = 2) of 0.022% and 0.026%, respectively. For R32 + R1234ze(E), comparisons with two dedicated models revealed opposite trends: one model systematically overpredicted the speed of sound (positive bias), whereas the other underpredicted it (negative bias). This implies that both models require refinement for gas-phase thermodynamic properties, especially for the gaseous speed of sound. A universal acoustic truncation virial equation was developed using critical parameters and molecular structure parameters. For R32 + R1234ze(E), within the experimental range, this acoustic equation outperformed the two dedicated models. For R32 + R1216, deviations between the acoustic virial equation and experimental data increased with pressure, suggesting inaccuracies in the critical parameters and molecular structure parameters of R1216. Finally, acoustic virial coefficients were derived from the experimental speed of sound. These results provide essential benchmarks for developing and improving dedicated models for these mixtures.
- Open Access
Gas Evolution and Two-Phase Flow in Water Electrolyzers: A Review
Driven by the large-scale deployment of renewable electricity, water electrolysis has emerged as a leading pathway for high-efficiency hydrogen production. Under practical operating conditions, gas evolution and gas–liquid two-phase flow inside electrolyzers substantially reshape electrode interfacial states and the in-cell mass transfer environment and have been reported to cause performance losses on the order of 10–30% under unfavorable conditions. This review summarizes the evolution of electrode-generated bubbles during nucleation, growth, detachment, and coalescence, and consolidates the fundamental features of two-phase hydrodynamics and phase-distribution patterns in electrolyzer channels. Progress and limitations of major two-phase modeling approaches are then assessed with respect to their capability to resolve the relevant interfacial and transport processes. The impacts of gas evolution and two-phase flow on electrochemical performance, stability, and durability are subsequently discussed. Finally, recent advances in two-phase-flow management—through flow-field organization and structural design, as well as the introduction of external physical fields—are reviewed, together with experimental and diagnostic methods used to quantify bubble behavior and phase distributions. This review aims to provide a coherent understanding of the governing behaviors, research tools, and performance implications of gas evolution and two-phase flow in water electrolysis, and to inform electrode/transport-layer design, flow-field management, and the development of predictive numerical models.
Open AccessGas Evolution and Two-Phase Flow in Water Electrolyzers: A Review
Driven by the large-scale deployment of renewable electricity, water electrolysis has emerged as a leading pathway for high-efficiency hydrogen production. Under practical operating conditions, gas evolution and gas–liquid two-phase flow inside electrolyzers substantially reshape electrode interfacial states and the in-cell mass transfer environment and have been reported to cause performance losses on the order of 10–30% under unfavorable conditions. This review summarizes the evolution of electrode-generated bubbles during nucleation, growth, detachment, and coalescence, and consolidates the fundamental features of two-phase hydrodynamics and phase-distribution patterns in electrolyzer channels. Progress and limitations of major two-phase modeling approaches are then assessed with respect to their capability to resolve the relevant interfacial and transport processes. The impacts of gas evolution and two-phase flow on electrochemical performance, stability, and durability are subsequently discussed. Finally, recent advances in two-phase-flow management—through flow-field organization and structural design, as well as the introduction of external physical fields—are reviewed, together with experimental and diagnostic methods used to quantify bubble behavior and phase distributions. This review aims to provide a coherent understanding of the governing behaviors, research tools, and performance implications of gas evolution and two-phase flow in water electrolysis, and to inform electrode/transport-layer design, flow-field management, and the development of predictive numerical models.
- 1 December 2025
- Published by Elsevier in International Journal of Refrigeration
- Vol. 182, 217-229
Measurement of gaseous speed of sound for R1234ze(E) and R1234ze(E)+R1336mzz(E) binary mixture using a cylindrical resonator
- 1 December 2025
- Published by Elsevier in International Journal of Refrigeration
- Vol. 182, 217-229
Measurement of gaseous speed of sound for R1234ze(E) and R1234ze(E)+R1336mzz(E) binary mixture using a cylindrical resonator
- Open Access
Investigation of Gas Evolution on Nickel Wire Electrodes During Alkaline Water Electrolysis
The pursuit of higher current densities and device miniaturization intensifies gas evolution in alkaline water electrolysis, thereby reducing catalyst utilization and degrading system performance. In this work, a visualized alkaline electrolysis system was developed to investigate bubble dynamics on vertically oriented nickel wire electrodes. High-speed imaging coupled with a Yolov8 deep learning model enabled quantitative analysis of oxygen evolution behavior, revealing distinct bubble evolution modes such as isolated growth and coalescence. Systematic experiments demonstrated that current density, electrode diameter, and KOH concentration exert significant influences on bubble size distribution. Further correlation with electrochemical performance showed that increases in bubble population and size result in higher overpotentials, while bubble volume exhibits a strong linear relationship with the system’s ohmic resistance. These findings provide mechanistic insights into the coupling between bubble evolution and electrochemical performance, offering guidance for the design of efficient alkaline electrolyzers.
Open AccessInvestigation of Gas Evolution on Nickel Wire Electrodes During Alkaline Water Electrolysis
The pursuit of higher current densities and device miniaturization intensifies gas evolution in alkaline water electrolysis, thereby reducing catalyst utilization and degrading system performance. In this work, a visualized alkaline electrolysis system was developed to investigate bubble dynamics on vertically oriented nickel wire electrodes. High-speed imaging coupled with a Yolov8 deep learning model enabled quantitative analysis of oxygen evolution behavior, revealing distinct bubble evolution modes such as isolated growth and coalescence. Systematic experiments demonstrated that current density, electrode diameter, and KOH concentration exert significant influences on bubble size distribution. Further correlation with electrochemical performance showed that increases in bubble population and size result in higher overpotentials, while bubble volume exhibits a strong linear relationship with the system’s ohmic resistance. These findings provide mechanistic insights into the coupling between bubble evolution and electrochemical performance, offering guidance for the design of efficient alkaline electrolyzers.