Thermo-economic optimization of gasification process with coal water slurry preheating technology

Juan Xiao, Simin Wang, Shupei Ye, Jiayu Dong, Jian Wen and Zaoxiao Zhang

Energy, 2020, vol. 199, issue C

Abstract: The energy efficiency of coal water slurry (CWS) gasification is less than that of pulverized coal gasification, a preheating technology using shell-and-tube heat exchangers (STHXs) with ladder-type fold baffles is introduced to improve energy efficiency of CWS gasification. The effect of structural parameters (folding angle, folding ratio and relative height) on cold gas efficiency and total cost is discussed coupling system design and unit equipment optimization, and multi-objective genetic algorithm combining response surface method is used to accomplish thermo-economic optimization. The results show that oxygen consumption decreases by 7.6% and cold gas efficiency increases by 6.5% than that without preheating technology. The local sensitivity illustrates that folding angle and folding ratio has a negative effect on cold gas efficiency and total cost, while relative height positively relates to cold gas efficiency and total cost. Moreover, structural parameters are regarded as optimization variables, maximizing cold gas efficiency and minimizing total cost are optimization functions. The optimization results indicate that the saving cost is the highest when folding angle, folding ratio and relative height are 30°, 0.6 and 0.562, respectively. And a Pareto with multi-group of structural parameters obtained provides for design selections of CWS preheaters.

Keywords: Thermo-economic optimization; Coal water slurry; Heat exchangers; Gasification; Preheating technology; Multi-objective genetic algorithm (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:199:y:2020:i:c:s0360544220304618

DOI: 10.1016/j.energy.2020.117354

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