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Gulhan H, Dizaji RF, Hamidi MN, Abdelrahman AM, Basa S, Cingoz S, Koyuncu I, Guven H, Ozgun H, Ersahin ME, Dereli RK, Ozturk I. Modelling of high-rate activated sludge process: Assessment of model parameters by sensitivity and uncertainty analyses. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 915:170102. [PMID: 38228239 DOI: 10.1016/j.scitotenv.2024.170102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 12/29/2023] [Accepted: 01/09/2024] [Indexed: 01/18/2024]
Abstract
The objective of this study is to develop a mechanistic model to predict the long-term dynamic performance of High-Rate Activated Sludge (HRAS) process, including the removal of carbon (COD), nitrogen (N), and phosphorus (P). The model was formulated with inspiration from Activated Sludge Models No. 1 and 3 (ASM1 and ASM3) to incorporate essential mechanisms, such as adsorption and storage substrate, specific to HRAS systems. A stepwise protocol was followed for calibration with dynamic data from a pilot-scale HRAS plant. Sensitivity analysis identified influential model parameters, including maximum specific growth rate (μ), growth yield (YH), storage yield (YSTO), storage rate (kSTO), decay rate (b), and half saturation of the readily biodegradable substrate for growth (KS1). The calibrated model achieved prediction efficiencies above the normalized Mean Absolute Error (MAE) of 70 % for mixed liquor suspended solids (MLSS), total chemical oxygen demand (TCOD), soluble COD (SCOD), particulate COD (XCOD), total nitrogen (TN), ammonia nitrogen (SNH), total phosphorus (TP), soluble TP (STP), and particulate TP (XTP). Uncertainty analysis revealed that SCOD was underestimated. Based on the dynamic profiles of uncertainty bands and observed data, there is potential for improving the estimation of dynamic behavior in STP. The observed discrepancies may be attributed to variations in wastewater characteristics during the monitoring period, particularly concerning the phosphorus (P) fractions of the readily biodegradable substrate (SS) and soluble inerts (SI), which were not considered as dynamically changing parameters in the model.
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Affiliation(s)
- Hazal Gulhan
- Istanbul Technical University, Civil Engineering Faculty, Environmental Engineering Department, Ayazaga Campus, Maslak 34469, Istanbul, Turkey.
| | - Reza Faraji Dizaji
- Istanbul Technical University, Civil Engineering Faculty, Environmental Engineering Department, Ayazaga Campus, Maslak 34469, Istanbul, Turkey
| | - Muhammed Nimet Hamidi
- Istanbul Technical University, Civil Engineering Faculty, Environmental Engineering Department, Ayazaga Campus, Maslak 34469, Istanbul, Turkey
| | - Amr Mustafa Abdelrahman
- Istanbul Technical University, Civil Engineering Faculty, Environmental Engineering Department, Ayazaga Campus, Maslak 34469, Istanbul, Turkey
| | - Safak Basa
- ISKI, Istanbul Water and Sewerage Administration, Eyup 34060, Istanbul, Turkey
| | - Seyma Cingoz
- ISKI, Istanbul Water and Sewerage Administration, Eyup 34060, Istanbul, Turkey
| | - Ismail Koyuncu
- Istanbul Technical University, Civil Engineering Faculty, Environmental Engineering Department, Ayazaga Campus, Maslak 34469, Istanbul, Turkey; National Research Center on Membrane Technologies, Istanbul Technical University, 34469 Maslak, Istanbul, Turkey
| | - Huseyin Guven
- Istanbul Technical University, Civil Engineering Faculty, Environmental Engineering Department, Ayazaga Campus, Maslak 34469, Istanbul, Turkey
| | - Hale Ozgun
- Istanbul Technical University, Civil Engineering Faculty, Environmental Engineering Department, Ayazaga Campus, Maslak 34469, Istanbul, Turkey; National Research Center on Membrane Technologies, Istanbul Technical University, 34469 Maslak, Istanbul, Turkey
| | - Mustafa Evren Ersahin
- Istanbul Technical University, Civil Engineering Faculty, Environmental Engineering Department, Ayazaga Campus, Maslak 34469, Istanbul, Turkey; National Research Center on Membrane Technologies, Istanbul Technical University, 34469 Maslak, Istanbul, Turkey
| | - Recep Kaan Dereli
- University College Dublin, School of Chemical and Bioprocess Engineering, Belfield, Dublin 4, Ireland
| | - Izzet Ozturk
- Istanbul Technical University, Civil Engineering Faculty, Environmental Engineering Department, Ayazaga Campus, Maslak 34469, Istanbul, Turkey
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Sweeney M, Kabouris J. Modeling, instrumentation, automation, and optimization of water resource recovery facilities (2019) DIRECT. WATER ENVIRONMENT RESEARCH : A RESEARCH PUBLICATION OF THE WATER ENVIRONMENT FEDERATION 2020; 92:1499-1503. [PMID: 32639061 DOI: 10.1002/wer.1394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 06/24/2020] [Indexed: 06/11/2023]
Abstract
A review of the literature published in 2019 on topics relating to water resource recovery facilities (WRRFs) in the areas of modeling, automation, measurement and sensors, and optimization of wastewater treatment (or water resource reclamation) is presented.
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