Xin-Rong Zhang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Xin-Rong Zhang has a total of 84 co-authors. Here are the top co-authors by number of shared publications:
- Guan-Bang Wang
Department of Energy and Resources Engineering, College of EngineeringPeking University Beijing China
8 shared publications Guan-Bang Wang
Peking University
5 shared publications- Zhan-Chao Hu
Sun Yat-sen University
5 shared publications Qiu-Yun Zheng
Beijing Engineering Research Center of City Heat
4 shared publicationsYuwei Fan
Department of Energy and Resources Engineering, School of Mechanics and Engineering Science, Peking University, Beijing, 100871, China
4 shared publicationsZhao-Rui Peng
4 shared publications
Latest Publications
- Open Access
- 10 April 2026
- Published by Korean Society of Environmental Engineering in Environmental Engineering Research
- Vol. 31 (6) , 250215
Improving the performance of a practical low-temperature multi-effect distillation desalination plant driven by waste hot water
As the global freshwater crisis intensifies, desalination has emerged as a reliable method for water supply worldwide. However, the high energy consumption and operating costs associated with conventional steam-driven seawater desalination remain significant challenges. This study proposes a low-temperature multi-effect distillation (LT-MED) model driven by waste heat to replace conventional steam and reduce the cost of distillation. A case study was conducted on the 15,000 m³/day Hengli Petrochemical hybrid system in Dalian, China, which integrates distillation desalination with hot-water flashing. The thermodynamic model of the hybrid system, based on energy and mass balance equations, demonstrates that a seven-effect evaporator setup offers the most cost-effective and energy-efficient solution. The study explores four methods to enhance the Gain Output Ratio (GOR) and identifies optimal parameters and configurations for improved overall system performance. The findings provide valuable insights for designing innovative hybrid distillation systems powered by low-grade waste heat.
- 10 April 2026
- Published by Korean Society of Environmental Engineering in Environmental Engineering Research
- Vol. 31 (6) , 250215
Open AccessImproving the performance of a practical low-temperature multi-effect distillation desalination plant driven by waste hot water
As the global freshwater crisis intensifies, desalination has emerged as a reliable method for water supply worldwide. However, the high energy consumption and operating costs associated with conventional steam-driven seawater desalination remain significant challenges. This study proposes a low-temperature multi-effect distillation (LT-MED) model driven by waste heat to replace conventional steam and reduce the cost of distillation. A case study was conducted on the 15,000 m³/day Hengli Petrochemical hybrid system in Dalian, China, which integrates distillation desalination with hot-water flashing. The thermodynamic model of the hybrid system, based on energy and mass balance equations, demonstrates that a seven-effect evaporator setup offers the most cost-effective and energy-efficient solution. The study explores four methods to enhance the Gain Output Ratio (GOR) and identifies optimal parameters and configurations for improved overall system performance. The findings provide valuable insights for designing innovative hybrid distillation systems powered by low-grade waste heat.
- 27 March 2026
- Published by Springer Nature
- p. 409-428
Evolution of Thermodynamic Systems and Technological Breakthroughs in Carbon Dioxide Cycle
- 27 March 2026
- Published by Springer Nature
- p. 409-428
Evolution of Thermodynamic Systems and Technological Breakthroughs in Carbon Dioxide Cycle
- 9 March 2026
- Published by Elsevier in International Journal of Refrigeration
- Vol. 186
Numerical analysis of heat transfer and flow characteristics of ice slurry in flat-sided oval pipe
- 9 March 2026
- Published by Elsevier in International Journal of Refrigeration
- Vol. 186
Numerical analysis of heat transfer and flow characteristics of ice slurry in flat-sided oval pipe
- Open Access
A Cluster- and Temperature-Aware Auto-Ensemble Model for Airport Cooling Load Forecasting
Accurate cooling load forecasting supports energy-efficient operation in large public buildings such as airports. Cooling load time series are often nonlinear and temporally dependent, with frequent operating condition changes and pronounced thermal inertia, which limits the reliability of single-model forecasting. This study proposes a cluster- and temperature-aware auto-ensemble model (CATS-Ens) for short- and long-term cooling load prediction. CATS-Ens learns condition-dependent model contributions within temperature-based operating intervals and distinct load regimes, enabling collaborative prediction across complementary experts and avoiding reliance on a single globally optimal predictor. The proposed model is evaluated on a real-world hourly cooling load dataset collected from an airport terminal. Results show that CATS-Ens achieves consistently better performance than representative baselines under multiple metrics, including MAE, RMSE, MAPE, sMAPE, and . Compared with the best individual baseline, CATS-Ens reduces MAE by 8.5%, RMSE by 8.4%, MAPE by 12.6%, and sMAPE by 7.1%, with an of 0.967. The model maintains stable accuracy under varying operating conditions and alleviates false-positive predictions during zero-load and low-load periods, demonstrating its practical value for cooling load forecasting in complex building energy systems.Open AccessA Cluster- and Temperature-Aware Auto-Ensemble Model for Airport Cooling Load Forecasting
Accurate cooling load forecasting supports energy-efficient operation in large public buildings such as airports. Cooling load time series are often nonlinear and temporally dependent, with frequent operating condition changes and pronounced thermal inertia, which limits the reliability of single-model forecasting. This study proposes a cluster- and temperature-aware auto-ensemble model (CATS-Ens) for short- and long-term cooling load prediction. CATS-Ens learns condition-dependent model contributions within temperature-based operating intervals and distinct load regimes, enabling collaborative prediction across complementary experts and avoiding reliance on a single globally optimal predictor. The proposed model is evaluated on a real-world hourly cooling load dataset collected from an airport terminal. Results show that CATS-Ens achieves consistently better performance than representative baselines under multiple metrics, including MAE, RMSE, MAPE, sMAPE, and . Compared with the best individual baseline, CATS-Ens reduces MAE by 8.5%, RMSE by 8.4%, MAPE by 12.6%, and sMAPE by 7.1%, with an of 0.967. The model maintains stable accuracy under varying operating conditions and alleviates false-positive predictions during zero-load and low-load periods, demonstrating its practical value for cooling load forecasting in complex building energy systems. - 4 January 2026
- Published by Elsevier in Bioresource Technology
- Vol. 444, 133948
Waste eggshell derived porous skeleton with dual functional CNT synergistically enhance the thermal property of PCMs for thermal management
- 4 January 2026
- Published by Elsevier in Bioresource Technology
- Vol. 444, 133948
Waste eggshell derived porous skeleton with dual functional CNT synergistically enhance the thermal property of PCMs for thermal management
- 23 November 2025
- Published by Springer Nature
- p. 950-958
Investigation of Transcritical CO2 Heat Pump Integrated with Borehole Thermal Energy Storage for Space Heating
- 23 November 2025
- Published by Springer Nature
- p. 950-958
Investigation of Transcritical CO2 Heat Pump Integrated with Borehole Thermal Energy Storage for Space Heating
- 16 October 2025
- Published by Taylor & Francis in Heat Transfer Engineering
- Vol. 47 (21-22) , 2043-2059
Prediction of the Flow Field in Two-Phase Jets with Phase Changes Using Nested Physics-Informed Neural Network
- 16 October 2025
- Published by Taylor & Francis in Heat Transfer Engineering
- Vol. 47 (21-22) , 2043-2059
Prediction of the Flow Field in Two-Phase Jets with Phase Changes Using Nested Physics-Informed Neural Network
- Open Access
Numerical Simulation of Pool Boiling on Novel Microstructured Heated Surface
Improving the pool boiling heat transfer by changing the properties of the heating surface has been experimentally studied by many researchers. In this paper, two novel microstructured surfaces with open channels were simulated and investigated. The two microstructured surfaces had different cavity positions and different groove widths of open channels. At the same time, a pool boiling experiment on the plain-heated surface was carried out to verify the reliability and accuracy of the CFD model. The results showed the relationship between the heat flux and wall superheat. Moreover, the bubble dynamic behaviors of different surfaces were obtained. It was found that both microstructured surfaces could enhance the pool boiling heat transfer coefficient (HTC) and critical heat flux (CHF). Enlarging the length of the groove gap can not only increase the heat transfer area, but also increase the bubble nucleation rate. However, constantly increasing the groove width will cause the horizontal coalescence of bubbles on the heating surface at low heat flux. When the negative effect of bubble coalescence is higher than the enhancement effect, the boiling heat transfer capacity of the heating surface will decrease unless the heat flux is high enough to delay bubble coalescence.
Open AccessNumerical Simulation of Pool Boiling on Novel Microstructured Heated Surface
Improving the pool boiling heat transfer by changing the properties of the heating surface has been experimentally studied by many researchers. In this paper, two novel microstructured surfaces with open channels were simulated and investigated. The two microstructured surfaces had different cavity positions and different groove widths of open channels. At the same time, a pool boiling experiment on the plain-heated surface was carried out to verify the reliability and accuracy of the CFD model. The results showed the relationship between the heat flux and wall superheat. Moreover, the bubble dynamic behaviors of different surfaces were obtained. It was found that both microstructured surfaces could enhance the pool boiling heat transfer coefficient (HTC) and critical heat flux (CHF). Enlarging the length of the groove gap can not only increase the heat transfer area, but also increase the bubble nucleation rate. However, constantly increasing the groove width will cause the horizontal coalescence of bubbles on the heating surface at low heat flux. When the negative effect of bubble coalescence is higher than the enhancement effect, the boiling heat transfer capacity of the heating surface will decrease unless the heat flux is high enough to delay bubble coalescence.
- Open Access
- 1 August 2025
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 3090 (1) , 012006
Simplified Analytical Solutions Based on Finite Line Source Theory for Borehole Thermal Energy Storage Systems
BTES is an important seasonal thermal energy storage technology that effectively addresses the uneven temporal and spatial distribution of energy. However, the complex and time-consuming thermal analysis of BTES poses challenges to its development. This paper presents a simplified analytical algorithm based on the FLS model, integrating convective heat transfer within the borehole fluid and transient thermal conductivity of the surrounding soil to establish an analytical model. The model is simplified based on its geometric symmetry, and a numerical model is established for validation. The results show that the relative errors between 0.54% and 5.76% were associated with temperature variations ranging from 0.21°C to 0.58°C.
- 1 August 2025
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 3090 (1) , 012006
Open AccessSimplified Analytical Solutions Based on Finite Line Source Theory for Borehole Thermal Energy Storage Systems
BTES is an important seasonal thermal energy storage technology that effectively addresses the uneven temporal and spatial distribution of energy. However, the complex and time-consuming thermal analysis of BTES poses challenges to its development. This paper presents a simplified analytical algorithm based on the FLS model, integrating convective heat transfer within the borehole fluid and transient thermal conductivity of the surrounding soil to establish an analytical model. The model is simplified based on its geometric symmetry, and a numerical model is established for validation. The results show that the relative errors between 0.54% and 5.76% were associated with temperature variations ranging from 0.21°C to 0.58°C.
- 2 April 2025
- Published by Elsevier in International Journal of Thermal Sciences
- Vol. 214
Experimental study on supercritical carbon dioxide convective heat transfer in fractured rocks
- 2 April 2025
- Published by Elsevier in International Journal of Thermal Sciences
- Vol. 214
Experimental study on supercritical carbon dioxide convective heat transfer in fractured rocks