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Main positions:中国能源学会理事、国家教育部学科学位评审专家、担任国家教育部研究生学位论文评审专家、全国大学生节能减排竞赛评审专家
Other Post:江苏省、浙江省、江西省科技成果奖评审专家、江苏省省高新技术企业认定评审专家、江苏省科技评估咨询专家、江苏省工程热物理学会常务理事、江苏省科技副总、南京市太阳能学会秘书长等。
Degree:Doctoral Degree in Engineering
School/Department:College of Energy and Power Engineering

韩东

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Education Level:南京航空航天大学

Alma Mater:南京航空航天大学

Paper Publications

Study on vacuum membrane distillation coupled with mechanical vapor recompression system for the concentration of sulfuric acid solution
Date of Publication:2019-11-01 Hits:

Affiliation of Author(s):能源与动力学院
Journal:JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
Key Words:Vacuum membrane distillation Mechanical vapor recompression Membrane flux Energy consumption Economic evaluation
Abstract:This paper presents a new vacuum membrane distillation (VMD) coupled with mechanical vapor recompression system for the concentration of sulfuric acid solution; the mathematical models based on the mass and energy balances in each part of the system are established. The influences of the corresponding operating parameters including feed concentration, feed temperature, feed velocity and permeate-side absolute pressure on membrane flux are investigated and discussed. The membrane flux increases with the increase in feed temperature and velocity, but it decreases with the increase in feed concentration and permeate-side absolute pressure. Furthermore, the energy consumption of the proposed system is explored through analyzing the influences from key factors, including boiling point elevation, temperature and concentration polarization and heat transfer temperature difference of heat exchanger on power consumption of compressor. Compared with the conventional VMD system and multi-effect MD system, the proposed system can save 77.6% and 20.4% energy due to a significant improvement in thermal efficiency by recovering the latent heat of vaporization. Eventually, an economic evaluation of the proposed system is performed comprehensively and the most optimized compression ratio of compressor can be obtained, which can guarantee the lowest energy consumption and total annual cost. Therefore, these results can provide significant references for the implementation and further optimization of the proposed system in the future.
ISSN No.:1678-5878
Translation or Not:no
Date of Publication:2019-11-01
Co-author:Si, Zetian,Gu, Jiming,Chen, Junjie,Zheng, Mingrui,Song, Yan,songyang,Mao, Ning
Correspondence Author:Dong Han
Date of Publication:2019-11-01