WANG Zhiqi, ZHOU Naijun, XIA Xiaoxia, et al. Multi-objective parametric optimization of power generation system based on organic Rankine cycle[J]. CIESC Journal, 2013, (5): 1710-1716.
DOI:
WANG Zhiqi, ZHOU Naijun, XIA Xiaoxia, et al. Multi-objective parametric optimization of power generation system based on organic Rankine cycle[J]. CIESC Journal, 2013, (5): 1710-1716.DOI: 10.3969/j.issn.0438-1157.2013.05.028.
Multi-objective parametric optimization of power generation system based on organic Rankine cycle
in which the screening criteria include heat recovery efficiency and heat exchanger area per unit power output.The model was optimized using the simulated annealing algorithm for R123
R236ea
R245fa
R227ea and R600.The results show that the multi-objective optimization model can coordinate the relationship of different criteria and is better for system economy than that of a single screen criterion.At heat source temperature of 140℃
the optimal evaporation and condensation pressures using R123 are 0.69 MPa and 0.11 MPa
respectively.The optimal evaporation pressure increases with the condensing pressure.The velocity in tubes should be more than 0.5 m·s-1 and the optimal pinch point in evaporator is about 15℃.As the waste heat temperature increases
the optimal evaporation pressure increases.In the waste heat temperature range from 100℃ to 220℃
R123 is the best working fluid among the five working fluids.