Water 2014, 6(1), 86-103; doi:10.3390/w6010086
Article

Implementation of Extended Statistical Entropy Analysis to the Effluent Quality Index of the Benchmarking Simulation Model No. 2

1 Centre for Water Resource Systems, Vienna University of Technology, Karlsplatz 13/222, Vienna A-1040, Austria 2 Laboratoire Réactions et Génie des Procédés (UMR 7274 CNRS), Université de Lorraine, 1, rue Grandville, BP 20451, Nancy F-54001, France 3 Institute for Water Quality, Resource and Waste Management, Vienna University of Technology, Karlsplatz 13/226, Vienna A-1040, Austria
* Author to whom correspondence should be addressed.
Received: 17 October 2013; in revised form: 23 December 2013 / Accepted: 25 December 2013 / Published: 2 January 2014
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Abstract: Extended statistical entropy analysis (eSEA) is used to assess the nitrogen (N) removal performance of the wastewater treatment (WWT) simulation software, the Benchmarking Simulation Model No. 2 (BSM No. 2 ). Six simulations with three different types of wastewater are carried out, which vary in the dissolved oxygen concentration (O2,diss.) during the aerobic treatment. N2O emissions generated during denitrification are included in the model. The N-removal performance is expressed as reduction in statistical entropy, ΔH, compared to the hypothetical reference situation of direct discharge of the wastewater into the river. The parameters chemical and biological oxygen demand (COD, BOD) and suspended solids (SS) are analogously expressed in terms of reduction of COD, BOD, and SS, compared to a direct discharge of the wastewater to the river (ΔEQrest). The cleaning performance is expressed as ΔEQnew, the weighted average of ΔH and ΔEQrest. The results show that ΔEQnew is a more comprehensive indicator of the cleaning performance because, in contrast to the traditional effluent quality index (EQ), it considers the characteristics of the wastewater, includes all N-compounds and their distribution in the effluent, the off-gas, and the sludge. Furthermore, it is demonstrated that realistically expectable N2O emissions have only a moderate impact on ΔEQnew.
Keywords: Benchmarking Simulation Model; extended statistical entropy analysis; nitrogen; nitrous oxide; wastewater treatment

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MDPI and ACS Style

Sobańtka, A.P.; Pons, M.-N.; Zessner, M.; Rechberger, H. Implementation of Extended Statistical Entropy Analysis to the Effluent Quality Index of the Benchmarking Simulation Model No. 2. Water 2014, 6, 86-103.

AMA Style

Sobańtka AP, Pons M-N, Zessner M, Rechberger H. Implementation of Extended Statistical Entropy Analysis to the Effluent Quality Index of the Benchmarking Simulation Model No. 2. Water. 2014; 6(1):86-103.

Chicago/Turabian Style

Sobańtka, Alicja P.; Pons, Marie-Noëlle; Zessner, Matthias; Rechberger, Helmut. 2014. "Implementation of Extended Statistical Entropy Analysis to the Effluent Quality Index of the Benchmarking Simulation Model No. 2." Water 6, no. 1: 86-103.

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