电子束辐照技术应用于餐厨沼液固液分离的研究
Study on Solid-liquid Separation of Kitchen Biogas Slurry by Electron Beam Irradiation Technology
满丽萍 1陈海 1许森飞 2张忠磊 1郭鑫 1何仕均2
作者信息
- 1. 中广核达胜加速器技术有限公司,江苏 苏州 215221;中广核达胜科技有限公司,江苏 苏州 215221
- 2. 中广核达胜加速器技术有限公司,江苏 苏州 215221
- 折叠
摘要
以餐厨沼液为研究对象,采用电子束辐照技术考察不同辐照剂量下餐厨沼液的沉降效果、黏度及胞外聚合物(EPS)含量变化,并耦合混凝-低速离心工艺降低餐厨沼液中悬浮物(SS)含量.结果表明:当电子束辐照吸收剂量达到10 kGy以上时,处理后沼液10 min的静置沉降率可达60％以上,黏度可由52.18 mPa·s降低至6.57 mPa·s,EPS由410.00 mg/L降低至215.63 mg/L.结合混凝-低速离心工艺,混凝剂(聚合氯化铝铁PAFC)和絮凝剂(丙烯酰胺PAM)投加量分别为4‰和4‰时(体积比),餐厨沼液的SS含量由15 100 mg/L降低为2 650 mg/L,SS去除率可达82.45％.从技术和经济性方面考虑,电子束辐照耦合混凝-低速离心工艺的运行成本为7.71元/m3.以上研究表明电子束辐照技术在高黏度餐厨沼液固液分离方面具有显著优势.
Abstract
The sedimentation effect,changes of viscosity and extracellular polymeric substance(EPS)concentration of kitchen biogas slurry under different irradiation doses were investigated using electron beam(EB)irradiation technology,and kitchen biogas slurry was taken as the research object.SS concentration in kitchen biogas slurry was significantly reduced through the EB coupled coagulation and low-speed centrifugation(EBCC)process.Results showed that when the irradiation absorbed dose of EB exceeded 10 kGy,the sedimentation rate could reach over 60％in 10 minutes.The viscosity and the EPS concentration could be reduced from 52.18 mPa·s to 6.57 mPa·s and 410.00 mg/L to 215.63 mg/L,respectively.Moreover,the SS concentration of the slurry rapidly decreased from 15 100 mg/L to 2 650 mg/L,resulted in an SS removal efficiency reaching up to 82.45％by using the EBCC process with the optimal dosage of coagulants(4‰ PAFC and 4‰ PAM).Additionally,from a technical and economic perspective,the operating cost of EBCC process was 7.71 yuan/m3.These findings demonstrated that the potential of EB technology has significant advantages in high-viscosity solid-liquid separation for kitchen biogas slurry.
关键词
餐厨沼液/电子束辐照/混凝-低速离心/去除率/胞外聚合物Key words
kitchen biogas slurry/electron beam irradiation/coagulation low speed centrifugation/removal rate/extracellular polymer引用本文复制引用
基金项目
第二十五批苏州市吴江区创新创业领军人才项目()
出版年
2024
NETL
NSTL
万方数据