Authors: Lee, Min Woo; Park, Yun Jung; Park, Jong Moon; Chun, Hee Dong

Source: Water Environment Research, Volume 73, Number 4, July/August 2001 , pp. 415-425(11)

Publisher: Water Environment Federation

Abstract:

An online monitoring and controlling system was developed for controlling external carbon addition in the biological nitrogen removal (BNR) process of a coke-plant wastewater treatment plant. Two control regimes, on-off control and feed-forward control, were applied and their performances were compared under normal and abnormal nitrate (NO⁻₃-N) input conditions. The water quality of the final effluent was stably controlled under normal nitrate input conditions by using the on-off control algorithm that is connected to the effluent nitrate concentration. However, unexpected nitrite accumulation was observed under abnormal nitrate input conditions (i.e., sudden increase of nitrate concentration), resulting from chemical oxygen demand (COD) limitations during denitrification. On the contrary, the feed-forward control algorithm more reliably controlled external carbon addition even under abnormal nitrate input conditions. The input COD/NO⁻₃-N was controlled between 3.55 and 3.62 during the operational period when the feed-forward algorithm was applied. Through trial and error, the optimum value of COD/NO⁻₃-N for denitrification was determined to be 3.59 in separate experiments.

Keywords: EXTERNAL CARBON ADDITION; CHEMICAL OXYGEN DEMAND/NITRATE RATIO; COKE-PLANT WASTEWATER; ON-OFF CONTROL; FEED-FORWARD CONTROL; DYNAMIC MODEL

Document Type: Research article

DOI: http://dx.doi.org/10.2175/106143001X139461

Publication date: 2001-07-01

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• Water Environment Research® (WER®) publishes peer-reviewed research papers, research notes, state-of-the-art and critical reviews on original, fundamental and applied research in all scientific and technical areas related to water quality, pollution control, and management. An annual Literature Review provides a review of published books and articles on water quality topics from the previous year.
  
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