MODELING AN IMPORTANT WATER MANAGEMENT TOOL Prof. Dr.-Ing. - - PowerPoint PPT Presentation

This project has received funding from the European Union’s Seventh Programme for research, technological development and demonstration under grant agreement No 280756

MODELING – AN IMPORTANT WATER MANAGEMENT TOOL

• Prof. Dr.-Ing. Sven-Uwe Geissen

Kang Hu Thorsten Fiedler

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CONTENT

• 1. Introduction
• 2. Results
• 3. Summary

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• 1. Introduction

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Water Research at TU Berlin

 Centre for Water in Urban Areas since 2000 (FSP-WIB)  Cooperation contracts many external partner: Berlin Centre of Competence for Water, BWB, Bayer etc.  22 chairs merging their water knowledge over 5 faculties  Four core fields of activity Innovation Analytics Economy

International

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MAIN OBJECTIVES

Development a model-based integrated management tool to:

• predict the economical and calculate the ecological effects

(e.g. impact on water bodies) of water recycling and the related technologies

• optimize water treatment technologies, processes and sites
• demonstrate the potential for freshwater savings, the recovery
• f heat and valuables

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PARTNERS INVOLVED

TUB

INOVY N UCM DOW DECH EMA Solvay IVL VITO

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agriculture industry (Solid) Waste mangement

Natural Water Ressources

urban area

wwtp

impulse dosage no aeration TSS = 1,5 g/L

integrated urban water cycle process level process unit level fundamentals

Input Output

• Fundamentals of System and Process Engineering
• Environmental Process Enginnering
• Wastewater Process Engineering

integrated urban water cycle process level process unit level fundamentals

METHODOLOGY

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MODELS DEVELOPED

PVC production process

• Polymerization reactor performance model
• Wet cooling tower performance model
• General mass and energy balance model

Wastewater treatment process

• Heat exchanger model
• MBR ASM, ion removal, energy consumption (aeration and

pumping) models

• RO ion removal, energy consumption models
• Ultrafitration/Nanofiltration models

Other models

• Electrodialysis model (Master thesis with TNO）
• Membrane distillation model
• Activated carbon adsorption model

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• 2. Results

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INOVYN CASE

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IWEMM FOR INOVYN

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MODEL BLOCK DETAILS

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MBR RESULTS

Parameter Unit Measured value Default ASM1 values Default mbr_ASM1HSG values Calibrated ASM 1 values NH4+-N g m-3 1.1 0.14 0.25 0.64 NO3-N g m-3 12.1 6.2 6.5 12.0 MLSS g m-3 11254 12970 11720 11580

Steady state calibration:

• Avg. Values over 100 days (pilot and model)

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Dynamic state calibration:

MBR RESULTS

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SCENARIOS FOR LCA

Parameter Different recovery scenarios 25% 50% 75% Recycled water flow (m3/d) 600 1200 1800 MBR parameters Energy consumption (kWh/m3 water) 0.74 0.74 0.74 Chemicals consumptions (kg/d) K2HPO4 7.44 7.44 7.44 Antifoam 17.93 17.93 17.93 NaOH 609.6 609.6 609.6 C6H8O7 12.24 12.24 12.24 NaClO 23.52 23.52 23.52 HCl 2.16 2.16 2.16 Kg excess sludge /m³ process water produced 2.6 2.6 2.6 RO parameters Energy consumption (kWh/m3 water) 0.81 0.96 1.27 Chemicals consumptions (kg/d) Antiscalant 4.2 8.4 12.6 Biocide 0.6 1.2 1.8 Acid cleaning 0.3 0.6 0.9 Alkaline cleaning 0.48 0.96 1.44 Surfactant 0.3 0.6 0.9

Maere, T., et al. (2011). "BSM-MBR: A benchmark simulation model to compare control and operational strategies for membrane bioreactors." Water Research 45(6): 2181-2190. Veera Gnaneswar Gude(2011).” Energy consumption and recovery in reverse osmosis”. Desalination and Water Treatment. 36 (2011) 239–260.

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GROUNDWATER AND COSTS SAVED

3.418 2.809 2.389 1.969 1.549 1.129 709 289

500 1000 1500 2000 2500 3000 3500 4000 500 1000 1500 2000 2500 10% 20% 30% 40% 50% 60% 70% 80% Costs of groundwater(Euros/d) Recycled wastewater snd fresh groundwater(m3/d) Wastewater recycling ratio Recycled wastewater Fresh groundwater required Costs of goundwater

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HEAT ENERGY

65,3 55,9 49,9 45,1 41,2 37,8 34,7 31,9 29,3

10 20 30 40 50 60 70 10 20 30 40 50 60 70 10% 20% 30% 40% 50% 60% 70% 80% Recycled wastewater temperature(°C) Heat required in reactor(kWh/m3) Wastewater recycling ratio Heat required in reactor Recycled wastewater temperature

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RECYCLED WASTEWATER QUALITY

1 2 3 4 5 6 7 0,1 0,2 0,3 0,4 0,5 0,6 0,7 10% 20% 30% 40% 50% 60% 70% 80% COD, Cl concentrations (mg/L) and conductivity (μS/cm) NH4+, K, Mg, As, Ca concentrations (mg/L)

Wastewater recycling ratio

NH4+ K Mg As Ca COD Cl conductivity

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DISCHARGED WASTEWATER QUALITY

The quality meets the discharge limits

2000 4000 6000 8000 20 40 60 80 100 120 140 160 180 200 10% 20% 30% 40% 50% 60% 70% 80% Cl concentration (mg/L) and conductivity(μS/cm) COD,NH4+, K, Mg, As, Ca concentrations (mg/L) wastewater recycling ratio COD NH4+ K Mg As Ca Cl conductivity

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• 3. Summary

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MAIN OUTCOMES

 Integrated model to predict:  Water consumption  Water quality  Energy usage  Scenarios  Environmental impact (together with LCA)  Transfer to other sites  can be used to visualize flows for planned and

existing sites

 Training of employees  Process models:  Combining them to simulate treatment trains  Predict effluent qualities  Scenario analysis

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MAIN OUTCOMES

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Thank you for your attention!