论文著作：
[1] Y. Lin, C. Yue, L. Zeng, Y. Ee, K. Sopian, W. Su, J. Wang. Multi-Dimensional Performance Evaluation and Influencing Factors Study of Inter-chip Thermal Coupling in Immersion-Cooled Heterogeneous Multi-Chip Servers. Energy. 2025.
[2] J. Wang, W. Deng, C. Yue*, W. Ding, L. Zeng, W. Su. MPC-based joint optimization for rack-based cooling data centers: modeling, performance evaluation, and time-delay characteristic analysis. Building and Environment. 2025. (SCI)
[3] J. Wang, W. Deng, C. Yue*, W. Su, X. Bai. Joint optimization of cooling parameters and workload distributions based on model predictive control for rack-based data centers. Journal of Building Engineering. 2025. (SCI)
[4] J. Wang, Y. Cui, Z. Liu*, L. Zeng, C. Yue**, Y. Agbodjan. Multi-energy complementary integrated energy system optimization with electric vehicle participation considering uncertainties. Energy. 2024. (SCI)
[5] J. Wang, Y Guo, C. Yue*, W. Deng, L. Zeng. Comprehensive assessment of waste heat recovery mismatch and renewable energy integration in data centers: A multifaceted energy, economic, and environmental perspectives. Journal of Cleaner Production. 2024. (SCI)
[6] P. Yin, Y. Guo*, M. Zhang, J. Wang**, L. Zhang, D. Feng, W. Ding. Performance analysis of lake water cooling coupled with waste heat recovery system in the data center. Sustainability. 2024. (SCI)
[7] W. Deng, J. Wang*, C. Yue, Y. Guo, Q. Zhang. Model-based control strategy with linear parameter-varying state-space model for rack-based cooling data centers. Energy & Buildings. 2024. (SCI)
[8] Y. Zhu, Q. Zhang*, L. Zeng, J. Wang, S. Zou. An advanced control strategy of hybrid cooling system with cold water storage system in data center. Energy. 2024. (SCI)
[9] J. Wang, Y. Tian, Z. Qi*, L. Zeng, P. Wang, S. Yoon. Sensor fault diagnosis and correction for data center cooling system using hybrid multi-label random Forest and Bayesian Inference. Building and Environment. 2023. (SCI)
[10] Y. Zhu, Q. Zhang, L. Zeng, J. Wang, S. Zou, H. Zheng. An advanced control strategy for optimizing the operation state of chillers with cold storage technology in data center. Energy & Buildings 301 (2023) 113684. (SCI)
[11] J. Wang, X. Tong, C. Yue, W. Liu, Q. Zhang, L. Zeng, G. Huang* .Real-time temperature distribution reconstruction via linear parameter-varying state-space model and Kalman filter in rack-based cooling data centers. Building and Environment. 2023. (SCI)
[12] X. Tong, J. Wang*, Weiwei Liu, Chang Yue, Quan Zhang, Linfeng Zhang. A time-varying state-space model for real-time temperature predictions in rack-based cooling data centers. Applied Thermal Engineering. 2023. (SCI)
[13] Y. Yang, Z. Liu, Nan Xie, J. Wang*, et al. Multi-criteria optimization of multi-energy complementary systems considering reliability, economic and environmental effects. Energy. 2023. (SCI)
[14] Y. Tian, J. Wang*, Z. Qi, C. Yue, P. Wang, S. Yoon. Calibration method for sensor drifting bias in data center cooling system using Bayesian Inference coupling with Autoencoder. Journal of Building Engineering. 2023. (SCI)
[15] X. Ma, Q. Zhang, J. Wang, et al. Sensitivity analysis and optimization of structural parameters of a phase change material based multi-tube heat exchanger under charging condition. The Journal of Energy Storage. 2022. (SCI)
[16] Yawovi Souley Agbodjan, J. Wang*, Yanping Cui, Liu Zhiqiang**, Luo Zhengyi. Bibliometric analysis of Zero Energy Buildings research, challenges and solutions. Solar Energy. 2022. (SCI)
[17] W. Liu, X.i Tong, J. Wang*, C. Yue, Q. Zhang. Real-time temperature predictions via state-space model and parameters identification within rack-based cooling data centers. Journal of Building Engineering.2022. (SCI)
[18] Z. Liu, Y. Cui, J. Wang *, et al. Multi-objective optimization of multi-energy complementary integrated energy systems considering load prediction and renewable energy production uncertainties. Energy. 2022. (SCI) (高被引论文）
[19] Y .Souley Agbodjan, Z. Liu*, J. Wang**, et al. Modeling and optimization of a multi-carrier renewable energy system for zero energy consumption buildings. Journal of Central South University. 2022. (SCI)
[20] 张宁，张泉，黄振霖，王加强*等．数据中心湖水源自然冷却系统现场性能测试分析[J]．暖通空调，2022，52（2）：70-74. (《暖通空调》期刊年度优秀论文）
[21] J. Wang, Z. Huang, Z. Liu, et al. In-situ sensor correction method for data center cooling systems using Bayesian Inference coupling with autoencoder. Sustainable Cities and Society. 2022. (SCI)
[22] T. Zhao, J. Li, P. Wang*, Sungmin Yoon, Jiaqiang Wang. Improvement of virtual in-situ calibration in air handling unit using data preprocessing based on Gaussian mixture model. Energy & Buildings. 2021. (SCI)
[23] Si. Zou, Q. Zhang*, C. Yue, J. Wang, S. Du. Study on the performance and free cooling potential of a R32 loop thermosyphon system used in data center. Energy & Buildings. 2021. (SCI)
[24] J. Li, P. Wang, T. Zhao*, S. Yoon, J. Wang. The effects of multidimensional data clustering on the accuracy of virtual in-situ calibration in the photovoltaic/Thermal heat pump system. Journal of Building Engineering. 2021. (SCI)
[25] C. Yue, Q. Zhang*, Z. Zhai, J. Wang, et al. Numerical study on flow and thermal characteristics of a micro-channel separated heat pipe under various surface wettability. Case Studies in Thermal Engineering. 2021. (SCI)
[26] Z. Liu, Z. Huang, J. Wang*, et al. A novel fault diagnosis and self-calibration method for air-handling units using Bayesian Inference and virtual sensing. Energy & Buildings. 2021.(SCI, Best Research Award Nomination)
[27] J. Wang, Z. Huang, C. Yue, et al. Various uncertainties self-correction method for the supervisory control of a hybrid cooling system in data centers. Journal of Building Engineering. 2021. (SCI)
[28] 刘志强，黄振霖，王加强*等. 基于贝叶斯推理的数据中心用精密空调故障软修复方法研究. 中南大学学报. 2021. (EI)
[29] S. Zou，Q. Zhang*，L. Ling，J. Wang，X. Ma, S. Du, Chang Yue. Experimental investigation on the thermal performance of a water-cooled loop thermosyphon system under fan failure conditions. International Journal of Refrigeration, 2020. (SCI）
[30] G. Cui, S. Pei, Z. Rui, J. Wang. Whole process analysis of geothermal exploitation and power generation from a depleted high-temperature gas reservoir by recycling CO2. Energy. 2020. (SCI) (高被引论文）
[31] Y. Li, Q. Zhang*, J. Wang, et al. Field investigation on operation parameters and performance of air conditioning system in a subway station. Energy Exploration & Exploitation.2020. (SCI)
[32] X. Ma, Q. Zhang*, J. Wang, et al. A coupled CFD approach for performance prediction of fin-and-tube condenser. Numerical Heat Transfer Applications. 2020. (SCI)
[33] J. Wang, Q. Zhang*, Y. Yu, S.n Yoon. Impact of uncertainties on the supervisory control performance of a hybrid cooling system in data center. Building and Environment. 2019. (SCI, Best Paper Award最佳论文）
[34] J.g Wang, Q. Zhang*, S. Yoon, Yuebin Yu. Reliability and availability analysis of a hybrid cooling system with water-side economizer in data center. Building and Environment. 2019. (SCI)
[35] J. Wang, Q. Zhang, Yuebin Yu, Xiaoming Chen, Sungmin Yoon. "Application of model-based control strategy to hybrid free cooling system with latent heat thermal energy storage for TBSs." Energy & Buildings 167 (2018) 89-105.（SCI）
[36] J. Wang, Q. Zhang*, Y. Yu. "An Advanced Control of Hybrid Cooling Technology for Telecommunication Base Stations." Energy and Buildings 133, (2016): 172-184.（SCI）
[37] S. Yoon, Y. Yu*, J. Wang, P. Wang. Impacts of HVACR temperature sensor offsets on building energy performance and occupant thermal comfort. Building Simulation. 2018. (SCI）
[38] P. Wang, S. Yoon*, J. Wang, Y. Yu. Automated reviving calibration strategy for virtual in-situ sensor calibration in building energy systems: Sensitivity coefficient optimization. Energy & Buildings 198 (2019) 291–304. (SCI）
[39] S. Zou，Q. Zhang*，Y. Yu，C. Yue，J. Wang，X. Ma. Field study on the self-adaptive capacity of multi-split heat pipe system (MSHPS) under non-uniform conditions in data center. Applied Thermal Engineering, 2019. (SCI）
[40] J. Wang, Q. Zhang, Y. Yu*. Intelligent control of hybrid cooling for telecommunication base stations, Proceedings of the eSim Building Performance Simulation Conference.
[41] G. Shu, J. Wang, B. Liu, J. Tian, Z. Liu. Solar driven methane cracking to produce hydrogen and carbon: A review. International Journal of Hydrogen Energy. 2024. (SCI)
[42] H. Li, R. Ding, W. Su*, X. Lin, S. Guan, Q. Ye, Z. Zheng, Jiaqiang Wang. A comprehensive performance comparison between compressed air energy storage and compressed carbon dioxide energy storage. Energy Conversion and Management. 2024. (SCI)
[43] Y. Zhu, Q. Zhang, G. Huang, J. Wang, S. Zou, The influence of uncertainty parameters on the double-layer model predictive control strategy for the collaborative operation of chiller and cold storage tank in data center. Energy. 2024. (SCI)
[44] Y. Zhu, Q. Zhang, G. Huang, J. Wang, S. Zou, Y. Ee, K. Sopian. Research on collaborative control strategy of cold storage and IT workload migration in data center. Energy. 2025. (SCI)
[45] S. Ma, Y. Liu, Y. Liu*, J. Wang, Q. Fang, Y. Huang. Artificial intelligence-enabled predictive energy saving planning of liquid cooling system for data centers. Advanced Engineering Informatics. 2025. (SCI)
王加强
湖南省
研究领域：
储能
研究方向：
[1] 数据中心高效冷却及优化控制、综合能源系统优化、热管理、电碳协同优化等
所在单位：
中南大学
