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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2017, Vol. 11 Issue (1) : 4    https://doi.org/10.1007/s11783-017-0895-9
RESEARCH ARTICLE |
Online control of biofilm and reducing carbon dosage in denitrifying biofilter: pilot and full-scale application
Xiuhong Liu1,Hongchen Wang1(),Qing Yang2,Jianmin Li2,Yuankai Zhang1,Yongzhen Peng2
1. School of Environment & Natural Resources, Renmin University of China, Beijing 100872, China
2. Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing 100124, China
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Abstract

Online control of DNBF was studied in the pilot-scale and full-scale experiments.

DNBF was controlled by the online monitored effluent nitrate and turbidity.

The effluent nitrate lower than 3 mg·L−1 and saving 18% of carbon were both achieved.

Denitrifying biofilter (DNBF) is widely used for advanced nitrogen removal in the reclaimed wastewater treatment plants (RWWTPs). Manual control of DNBF easily led to unstable process performance and high cost. Consequently, there is a need to automatic control of two decisive operational processes, carbon dosage and backwash, in DNBF. In this study, online control of DNBF was investigated in the pilot-scale DNBF (600 m3·d−1), and then applied in the full-scale DNBF (10 × 104 m3·d−1). A novel simple online control strategy for carbon dosage with the effluent nitrate as the sole control parameter was designed and tested in the pilot-scale DNBF. Backwash operation was optimized based on the backwash control strategy using turbidity as control parameter. Using the integrated control strategy, in the pilot-scale DNBF, highly efficient nitrate removal with effluent TN level lower than 3 mg·L−1 was achieved and DNBF was not clogged any more. The online control strategy for carbon dosage was successfully applied in a RWWTP. Using the online control strategy, the effluent nitrate concentration was controlled relatively stable and carbon dosage was saved for 18%.

Keywords Reclaimed water treatment      Denitrifying biofilter      Carbon dosage      Backwash control     
PACS:     
Fund: 
Corresponding Authors: Hongchen Wang   
Issue Date: 14 December 2016
 Cite this article:   
Xiuhong Liu,Hongchen Wang,Qing Yang, et al. Online control of biofilm and reducing carbon dosage in denitrifying biofilter: pilot and full-scale application[J]. Front. Environ. Sci. Eng., 2017, 11(1): 4.
 URL:  
http://academic.hep.com.cn/fese/EN/10.1007/s11783-017-0895-9
http://academic.hep.com.cn/fese/EN/Y2017/V11/I1/4
Fig.1  Schematic diagram of DNBF treatment system in the reclaimed wastewater treatment plant
Fig.2  Concentration of NO3--N and COD in the influent and effluent without carbon dosage control in DNBF
Fig.3  Control strategy of carbon dosage of DNBF
Fig.4  Control strategy of Backwash for DNBF
carbon sources influent flow rate/(m·h1) filtration velocity/(m·h1) HRT/min backwash operation modes time/min air strength(m3·m2·h1) water strength(m3·m2·h1) backwash cycle/h
sodium
acetate
 
 
 
 
 
 
 
10 5.95 25.2 air backwash 2 11.575 30–48
      air and water backwash 6 3.306 11.575  
      water backwash 15 6.614  
15 8.93 16.8 air backwash 2 11.575 17.5–34.5
      air and water backwash 6 3.306 11.575  
      water backwash 15 6.614  
25 14.88 10.08 air backwash 2 11.575 9–26.5
      air and water backwash 6 11.575 11.575  
      water backwash 6 11.575  
methanol
 
 
 
 
 
10 5.95 25.2 air backwash 2 11.575 29.5–50.5
      air and water backwash 6 11.575 11.575  
      water backwash 6 11.575  
15 8.93 16.8 air backwash 2 11.575 22–35
      air and water backwash 6 11.575 11.575  
      water backwash 6  
Tab.1  The optimal backwash operation at different filtration velocity
Fig.5  Variation of COD and NOx during online real-time control of different NOx in the effluent in DNBF
Fig.6  The influent and effluent TN, and methanol dosage in the full-scale DNBF using online control
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