Effects analysis on optimal microwave energy consumption in the heating process of composite regeneration for the diesel particulate filter
Jiaqiang E,
Xiaohuan Zhao,
Guanlin Liu,
Bin Zhang,
Qingsong Zuo,
Kexiang Wei,
Hongmei Li,
Dandan Han and
Jinke Gong
Applied Energy, 2019, vol. 254, issue C
Abstract:
It is difficult for diesel vehicle battery to meet microwave energy consumption during regeneration of diesel particulate filter, which restricts the application of microwave regeneration technology. In order to minimize the microwave energy consumption during the composite regeneration heating phase of the diesel particulate filter, an optimal microwave energy consumption model is established in this study based on the Functional Analysis Principles. The solution of this optimal model is simulated by the Adaptive Variable Scale Chaos Immune Algorithm. The optimized results are got and verified by experiments under different experimental cases. The simulation results show that an optimal microwave power and regeneration heating time can be effectively obtained during the composite regeneration heating phase. The experimental results indicate that optimization microwave energy consumption under 4 experimental cases decrease by 5.65%, 5.70%, 10.64% and 14.64% compared with that unoptimized data of 93.8 kJ, 75.6 kJ, 65.8 kJ and 56.7 kJ, respectively. The ratio of efficiency to energy of the optimized cases is higher than that of the cases without optimization. The effects of optimal microwave energy consumption in the heating process of composite regeneration are investigated. Moreover, the microwave assisted composite regeneration can save about 24% and 48% energy by contrast of the microwave regeneration and fuel post-injection regeneration. The proposed microwave energy consumption optimization method can save microwave energy and meet the regeneration performance requirement of the diesel particulate filter.
Keywords: Diesel particulate filter; Composite regeneration; Microwave energy; Heating regeneration; Optimization (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (18)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:254:y:2019:i:c:s0306261919314230
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DOI: 10.1016/j.apenergy.2019.113736
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