Multi-objective optimization of fin-and-tube evaporator for a diesel engine-organic Rankine cycle (ORC) combined system using particle swarm optimization algorithm

作者：Liu, Hongda; Zhang, Hongguang^*; Yang, Fubin; Hou, Xiaochen; Yu, Fei; Song, Songsong

来源：Energy Conversion and Management, 2017, 151: 147-157.

DOI：10.1016/j.enconman.2017.08.081

• Diesel engine
• Waste heat recovery
• Organic Rankine cycle
• Particle swarm optimization
• Fin-and-tube evaporator

In this paper, a mathematical model of fin-and-tube evaporator of ORC system used for waste heat recovery of a diesel engine is established. Particle swarm optimization (PSO) algorithm is applied for the multi-objective optimization of the fin-and-tube evaporator. Key geometrical parameters such as the inlet radius of the tube side, the inlet radius of the shell side, fin height, fin thickness and fin spacing are selected as decision variables. Total annual cost, volume of tube bundle, and exhaust pressure drop are considered as optimization objectives (objective functions). The linear weighted method is used to assign a weight coefficient to each objective function. Calculation results obtained by MATLAB R2010a clearly show a contradictory relationship among the objective functions. For a specific operating condition of the diesel engine, multi-objective optimization of the fin-and-tube evaporator is performed, and the optimal design is obtained. Compared with the results of the original design, the multi-objective optimization results are more satisfactory, the volume of tube bundle is increased by 6.49%, meanwhile the total annual cost is decreased by 71.46% and exhaust pressure drop is reduced by 27.6%. The PSO algorithm based fin-and-tube evaporator design method is beneficial to improving the performance of the diesel engine-organic Rankine cycle (ORC) combined system.

• 出版日期2017-11-1
• 单位北京工业大学