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Featured researches published by song Song.


Entropy | 2014

Study on Mixed Working Fluids with Different Compositions in Organic Rankine Cycle (ORC) Systems for Vehicle Diesel Engines

Kai Yang; Hongguang Zhang; Enhua Wang; Songsong Song; Chen Bei; Ying Chang; Hongjin Wang; Baofeng Yao

One way to increase the thermal efficiency of vehicle diesel engines is to recover waste heat by using an organic Rankine cycle (ORC) system. Tests were conducted to study the running performances of diesel engines in the whole operating range. The law of variation of the exhaust energy rate under various engine operating conditions was also analyzed. A diesel engine-ORC combined system was designed, and relevant evaluation indexes proposed. The variation of the running performances of the combined system under various engine operating conditions was investigated. R245fa and R152a were selected as the components of the mixed working fluid. Thereafter, six kinds of mixed working fluids with different compositions were presented. The effects of mixed working fluids with different compositions on the running performances of the combined system were revealed. Results show that the running performances of the combined system can be improved effectively when mass fraction R152a in the mixed working fluid is high and the engine operates with high power. For the mixed working fluid M1 (R245fa/R152a, 0.1/0.9, by mass fraction), the net power output of the combined system reaches the maximum of 34.61 kW. Output energy density of working fluid (OEDWF), waste heat recovery efficiency (WHRE), and engine thermal efficiency increasing ratio (ETEIR) all reach their maximum values at 42.7 kJ/kg, 10.90%, and 11.29%, respectively.


Energy | 2015

Parametric optimization and performance analysis of ORC (organic Rankine cycle) for diesel engine waste heat recovery with a fin-and-tube evaporator

Fubin Yang; Hongguang Zhang; Chen Bei; Songsong Song; Enhua Wang


Energy | 2015

Thermoeconomic multi-objective optimization of an organic Rankine cycle for exhaust waste heat recovery of a diesel engine

Fubin Yang; Hongguang Zhang; Songsong Song; Chen Bei; Hongjin Wang; Enhua Wang


Applied Thermal Engineering | 2015

Performance analysis of exhaust waste heat recovery system for stationary CNG engine based on organic Rankine cycle

Songsong Song; Hongguang Zhang; Zongyong Lou; Fubin Yang; Kai Yang; Hongjin Wang; Chen Bei; Ying Chang; Baofeng Yao


Energies | 2014

Effects of Degree of Superheat on the Running Performance of an Organic Rankine Cycle (ORC) Waste Heat Recovery System for Diesel Engines under Various Operating Conditions

Kai Yang; Hongguang Zhang; Songsong Song; Fubin Yang; Hao Liu; Guangyao Zhao; Jian Zhang; Baofeng Yao


Energies | 2014

Performance Analysis of the Vehicle Diesel Engine-ORC Combined System Based on a Screw Expander

Kai Yang; Hongguang Zhang; Songsong Song; Jian Zhang; Yuting Wu; Yeqiang Zhang; Hongjin Wang; Ying Chang; Chen Bei


Energies | 2016

Preliminary Development of a Free Piston Expander–Linear Generator for Small-Scale Organic Rankine Cycle (ORC) Waste Heat Recovery System

Gaosheng Li; Hongguang Zhang; Fubin Yang; Songsong Song; Ying Chang; Fei Yu; Jingfu Wang; Baofeng Yao


Energies | 2015

Performance Analysis of an Evaporator for a Diesel Engine–Organic Rankine Cycle (ORC) Combined System and Influence of Pressure Drop on the Diesel Engine Operating Characteristics

Chen Bei; Hongguang Zhang; Fubin Yang; Songsong Song; Enhua Wang; Hao Liu; Ying Chang; Hongjin Wang; Kai Yang


Energy Conversion and Management | 2018

Integrated simulation and control strategy of the diesel engine–organic Rankine cycle (ORC) combined system

Rui Zhao; Hongguang Zhang; Songsong Song; Yaming Tian; Yuxin Yang; Yi Liu


Energies | 2015

Parametric Optimization of Regenerative Organic Rankine Cycle System for Diesel Engine Based on Particle Swarm Optimization

Hongjin Wang; Hongguang Zhang; Fubin Yang; Songsong Song; Ying Chang; Chen Bei; Kai Yang

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Hongguang Zhang

Beijing University of Technology

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Fubin Yang

Beijing University of Technology

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Chen Bei

Beijing University of Technology

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Hongjin Wang

Beijing University of Technology

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Kai Yang

Beijing University of Technology

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Ying Chang

Beijing University of Technology

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Baofeng Yao

Beijing University of Technology

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Rui Zhao

Beijing University of Technology

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Fei Yu

Beijing University of Technology

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