基于HDH的沼液浓缩过程的厂级动态控制设计
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摘要
针对基于加湿除湿(HDH)原理的沼液循环蒸发浓缩处理过程,开展厂级动态协同控制方案设计。影响浓缩效率和成本的主要变量是蒸发塔沼液进料量、空气进料量和加热蒸汽流量,通过动态特性分析计算每个操作变量的可行域,在可行域内进行稳态实验获取最佳稳态操作工况。以蒸发量200 kg/h、SSC(每kg消耗蒸汽/每kg蒸发水)低于0.4为控制目标,设计了蒸发量-SSC协同控制方案和循环浓缩切换控制等厂级动态控制系统,将控制系统在农村沼液处理中试装置调试运行。将实际实验结果和文献相比较,实际蒸发量为201.22 kg/h,SSC为0.346,系统运行稳定控制效果满足设计要求,可进一步运用在农村沼液处理。
Aiming at the concentration process of biogas slurry based on the principle of humidificationdehumidification(HDH), the plantwide dynamic collaborative control scheme was designed. The main factors affecting the efficiency and cost of concentration are analyzed, including the flow rate of biogas slurry and ambient air in the evaporation tower and the flow rate of heating steam in the heater. The feasible region of each operating variable is calculated through dynamic characteristics analysis, and the steady state experiment is conducted in the feasible region to obtain the best operating parameters. With an evaporation of 200 kg/h, SSC(steam per kg/per kg of evaporated water) below 0.4 as the control objective, a plantwide dynamic control system including the evaporation-SSC cooperative control and the circulation concentration switching control was designed and run in a rural biogas processing pilot plant. Comparing the actual experimental results with the literature, the actual evaporation amount is 201.22 kg/h, the SSC is 0.346. The results show that the automatic control system is stable and effective which can be further used in rural biogas slurry treatment.
Aiming at the concentration process of biogas slurry based on the principle of humidificationdehumidification(HDH), the plantwide dynamic collaborative control scheme was designed. The main factors affecting the efficiency and cost of concentration are analyzed, including the flow rate of biogas slurry and ambient air in the evaporation tower and the flow rate of heating steam in the heater. The feasible region of each operating variable is calculated through dynamic characteristics analysis, and the steady state experiment is conducted in the feasible region to obtain the best operating parameters. With an evaporation of 200 kg/h, SSC(steam per kg/per kg of evaporated water) below 0.4 as the control objective, a plantwide dynamic control system including the evaporation-SSC cooperative control and the circulation concentration switching control was designed and run in a rural biogas processing pilot plant. Comparing the actual experimental results with the literature, the actual evaporation amount is 201.22 kg/h, the SSC is 0.346. The results show that the automatic control system is stable and effective which can be further used in rural biogas slurry treatment.
引文
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13 Dongliang Wang,Xiao Feng.Simulation and multiobjective optimization of an integrated process for hydrogen production from refinery off-gas[J].International Journal of Hydrogen Energy,2013,38(29):12968-12976.
14 Huang Xin,Li Yang.Thermal investigation and performance analysis of a novel evaporation system based on a humidification-dehumidification process.Energy Conversion and Management,2017,147.
2 Noreddine Ghaffour,Thomas M.Missimer,Gary L.Amy,Technical review and evaluation of the economics of water desalination:Current and future challenges for better water supply sustainability.Desalination,2013,309(2):197-207.
3 Narayan GP,Sharqawy MH,Lienhard JH,Zubair SM.Thermodynamic analysis of humidification dehumidification desalination cycles.Desalination Water Treat,2010,16(1-3):339-353.
4 FA Al-Sulaiman,GP Narayan,HLV John.Exergy analysis of a high temperature-steam-driven,variedpressure,humidification dehumidification system coupled with reverse osmosis.Applied Energy,2013,103(1):552-561.
5 He WF,Han D,Yue C,et al.A parametric study of a humidification dehumidification(HDH)desalination system using low grade heat sources.Energy Conversion Management,2015,105:929-937.
6 He WF,Han D,Xu LN,et al.Performance investigation of a novel waterepower cogeneration plant(WPCP)based on humidification dehumidification(HDH)method.Energy Conversion Management,2016,110:184-191.
7 He WF,Zhang XK,Han D,et al.Performance analysis of a water-power combined system with airheated humidification dehumidification process.Energy,2017,130.
8 Orfi J,Galanis N,Laplante M.Air humidificatione dehumidification for a waterdesalination system using solar energy.Desalination,2007,203(1):471-481.
9 Hamed MH,Kabeel AE,Omara ZM,et al.Mathematical and experimental investigation of a solar humidificationedehumidification desalination unit.Desalination,2015,358(7):9-17.
10 Muhammad Ahmad Jamil,Syed M.Zubair,Effect of feed flow arrangement and number of evaporators on the performance of multi-effect mechanical vapor compression desalination systems.Desalination,2018,429:76-87.
11 Yang Li,Xin Huang,Hao Peng,Xiang Ling,ShanDong Tu.Simulation and optimization of humidification-dehumidification evaporation system,Energy,2018,145:128-140.
12 Alireza Behroozsarand,Sirous Shafiei.Multiobjective optimization of reactive distillation with thermal coupling using non-dominated sorting genetic algorithm-II[J].Journal of Natural Gas and Engineering,2011,3(2):365-374.
13 Dongliang Wang,Xiao Feng.Simulation and multiobjective optimization of an integrated process for hydrogen production from refinery off-gas[J].International Journal of Hydrogen Energy,2013,38(29):12968-12976.
14 Huang Xin,Li Yang.Thermal investigation and performance analysis of a novel evaporation system based on a humidification-dehumidification process.Energy Conversion and Management,2017,147.