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Jiangfeng Wang ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Li, Yan / Wang, Jiangfeng / Deng, Bohao / Liu, Bin / Zhang, Lei / Zhao, Pan (2023): Emission reduction analysis of China’s building operations from provincial perspective: Factor decomposition and peak prediction. In: Energy and Buildings, v. 296 (Oktober 2023).

    https://doi.org/10.1016/j.enbuild.2023.113366

  2. Wang, Jiangfeng / Mohammed, Ahmed Salih / Macioszek, Elżbieta / Ali, Mujahid / Ulrikh, Dmitrii Vladimirovich / Fang, Qiancheng (2022): A Novel Combination of PCA and Machine Learning Techniques to Select the Most Important Factors for Predicting Tunnel Construction Performance. In: Buildings, v. 12, n. 7 (5 Juli 2022).

    https://doi.org/10.3390/buildings12070919

  3. Wang, Jiangfeng / Liao, Guanglin / Zuo, Qiyao / Guo, Yumin / Zhao, Pan / Dai, Yiping (2022): Thermodynamic, Economic Analysis, and Multiobjective Optimization of a Novel Transcritical CO2 Rankine Cycle with a Vortex Tube. In: Journal of Energy Engineering, v. 148, n. 1 (Februar 2022).

    https://doi.org/10.1061/(asce)ey.1943-7897.0000810

  4. Wang, Jiangfeng / Zhang, Qian / Wang, Yinhai / Weng, Jinxian / Yan, Xuedong (2016): Analysis of Sideswipe Collision Precursors Considering the Spatial-Temporal Characteristics of Freeway Traffic. In: Journal of Transportation Engineering, v. 142, n. 12 (Dezember 2016).

    https://doi.org/10.1061/(asce)te.1943-5436.0000896

  5. Wang, Jiangfeng / Zuo, Qiyao / Liao, Guanglin / Luo, Fang / Zhao, Pan / Wu, Weifeng / He, Zhilong / Dai, Yiping (2021): Machine Learning–Based Fault Detection and Diagnosis of Organic Rankine Cycle System for Waste-Heat Recovery. In: Journal of Energy Engineering, v. 147, n. 4 (August 2021).

    https://doi.org/10.1061/(asce)ey.1943-7897.0000764

  6. Li, Maoqing / Wang, Jiangfeng / He, Weifeng / Wang, Bo / Ma, Shaolin / Dai, Yiping (2013): Experimental Evaluation of the Regenerative and Basic Organic Rankine Cycles for Low-Grade Heat Source Utilization. In: Journal of Energy Engineering, v. 139, n. 3 (September 2013).

    https://doi.org/10.1061/(asce)ey.1943-7897.0000120

  7. Li, Maoqing / Wang, Jiangfeng / Li, Saili / Dai, Yiping (2015): Experimental Study and Numerical Simulation of a Regenerative ORC Utilizing Low-Grade Heat Source. In: Journal of Energy Engineering, v. 141, n. 3 (September 2015).

    https://doi.org/10.1061/(asce)ey.1943-7897.0000165

  8. Wang, Xurong / Wang, Jiangfeng / Zhao, Pan / Dai, Yiping (2016): Thermodynamic Comparison and Optimization of Supercritical CO2 Brayton Cycles with a Bottoming Transcritical CO2 Cycle. In: Journal of Energy Engineering, v. 142, n. 3 (September 2016).

    https://doi.org/10.1061/(asce)ey.1943-7897.0000292

  9. Cao, Liyan / Wang, Jiangfeng / Chen, Liangqi / Lou, Juwei / Wang, Jianyong / Dai, Yiping (2018): Thermoeconomic Analysis and Multi-Objective Optimization of a Combined Cooling and Power System Using Ammonia-Water Mixture: Case Study. In: Journal of Energy Engineering, v. 144, n. 3 (Juni 2018).

    https://doi.org/10.1061/(asce)ey.1943-7897.0000538

  10. Hou, Fangyong / Guo, Yumin / Wu, Weifeng / Yan, Zhequan / Wang, Jiangfeng (2020): Thermodynamic Analysis and Optimization of a Solar-Powered Organic Rankine Cycle with Compound Parabolic Collectors. In: Journal of Energy Engineering, v. 146, n. 6 (Dezember 2020).

    https://doi.org/10.1061/(asce)ey.1943-7897.0000709

  11. Sun, Qingxuan / Lee, Zachary E. / Li, Zhiping / Zhang, K. Max / Yang, Peijun / Wang, Jiangfeng (2021): Thermodynamic and Economic Analysis of a Novel Solar-Assisted Ground Source Absorption Heat Pump System. In: Journal of Energy Engineering, v. 147, n. 2 (April 2021).

    https://doi.org/10.1061/(asce)ey.1943-7897.0000747

  12. Yuan, Wei / Wang, Jiangfeng (2020): One-Dimensional Consolidation Analysis of Saturated Soft Clay Based on Water Content Variation. In: KSCE Journal of Civil Engineering, v. 25, n. 1 (Oktober 2020).

    https://doi.org/10.1007/s12205-020-0789-4

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