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Qingsong An
Qingsong An
在 tju.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Categorization and analysis of heat sources for organic Rankine cycle systems
H Zhai, Q An, L Shi, V Lemort, S Quoilin
Renewable and Sustainable Energy Reviews 64, 790-805, 2016
1872016
Influence of working fluid properties on system performance and screen evaluation indicators for geothermal ORC (organic Rankine cycle) system
H Zhai, L Shi, Q An
Energy 74, 2-11, 2014
1492014
Effects of load following operational strategy on CCHP system with an auxiliary ground source heat pump considering carbon tax and electricity feed in tariff
L Kang, J Yang, Q An, S Deng, J Zhao, H Wang, Z Li
Applied energy 194, 454-466, 2017
1232017
Screening of hydrocarbons as supercritical ORCs working fluids by thermal stability
X Dai, L Shi, Q An, W Qian
Energy Conversion and Management 126, 632-637, 2016
1022016
Hydraulic performance of a new district heating systems with distributed variable speed pumps
A Yan, J Zhao, Q An, Y Zhao, H Li, YJ Huang
Applied energy 112, 876-885, 2013
972013
Thermal stability of some hydrofluorocarbons as supercritical ORCs working fluids
X Dai, L Shi, Q An, W Qian
Applied Thermal Engineering 128, 1095-1101, 2018
852018
Multi-objective optimization and grey relational analysis on configurations of organic Rankine cycle
YZ Wang, J Zhao, Y Wang, QS An
Applied Thermal Engineering 114, 1355-1363, 2017
762017
Experiments on thermal performance of erythritol/expanded graphite in a direct contact thermal energy storage container
L Gao, J Zhao, Q An, D Zhao, F Meng, X Liu
Applied Thermal Engineering 113, 858-866, 2017
742017
A review on system performance studies of aquifer thermal energy storage
L Gao, J Zhao, Q An, J Wang, X Liu
Energy Procedia 142, 3537-3545, 2017
722017
Multi-agent deep reinforcement learning optimization framework for building energy system with renewable energy
R Shen, S Zhong, X Wen, Q An, R Zheng, Y Li, J Zhao
Applied Energy 312, 118724, 2022
612022
Chemical kinetics method for evaluating the thermal stability of Organic Rankine Cycle working fluids
X Dai, L Shi, Q An, W Qian
Applied Thermal Engineering 100, 708-713, 2016
582016
Performance analysis of passive cooling for photovoltaic modules and estimation of energy-saving potential
H Li, J Zhao, M Li, S Deng, Q An, F Wang
Solar Energy 181, 70-82, 2019
572019
Zeotropic mixture active design method for organic Rankine cycle
H Zhai, Q An, L Shi
Applied Thermal Engineering 129, 1171-1180, 2018
572018
Complementary configuration and performance comparison of CCHP-ORC system with a ground source heat pump under three energy management modes
L Kang, J Yang, Q An, S Deng, J Zhao, Z Li, Y Wang
Energy Conversion and Management 135, 244-255, 2017
572017
Characteristics of the direct absorption solar collectors based on reduced graphene oxide nanofluids in solar steam evaporation
Z Hong, J Pei, Y Wang, B Cao, M Mao, H Liu, H Jiang, Q An, X Liu, X Hu
Energy Conversion and Management 199, 112019, 2019
552019
Direct utilization status and power generation potential of low-medium temperature hydrothermal geothermal resources in Tianjin, China: a review
Q An, Y Wang, J Zhao, C Luo, Y Wang
Geothermics 64, 426-438, 2016
552016
Performance prediction and working fluids selection for organic Rankine cycle under reduced temperature
G Chen, Q An, Y Wang, J Zhao, N Chang, J Alvi
Applied Thermal Engineering 153, 95-103, 2019
472019
Recent trends in load forecasting technology for the operation optimization of distributed energy system
P Su, X Tian, Y Wang, S Deng, J Zhao, Q An, Y Wang
Energies 10 (9), 1303, 2017
452017
Experimental study on solving the blocking for the direct contact mobilized thermal energy storage container
S Guo, J Zhao, W Wang, G Jin, X Wang, Q An, W Gao
Applied Thermal Engineering 78, 556-564, 2015
452015
Thermal performance of medium-to-high-temperature aquifer thermal energy storage systems
L Gao, J Zhao, Q An, X Liu, Y Du
Applied Thermal Engineering 146, 898-909, 2019
442019
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