1 / 30

Smart Decentralized Water Management for Sustainable Future

WATINTECH integrates technologies to recover water, energy, and value-added products from sewage and urban run-off. Innovative decentralized treatment concepts adjust operations dynamically. Findings include evaluating filtration, rainwater harvesting, and energy recovery methods. Next targets focus on optimizing CW performance, energy recovery, and wastewater treatment quality monitoring. Achieving a sustainable water management solution.

mattoon
Download Presentation

Smart Decentralized Water Management for Sustainable Future

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. WATINTECH Smart Decentralized Water Management through a dynamic integration of technologies Ignasi Rodriguez-Roda Layret Teresa de la Torre Garcia Giuseppe Luigi Cirelli Krist V. Gernaey Adrian Ohemne (Ricardo Marques) Water JPI WaterWorks2014 Cofunded Call 8 May 2018, Larnaka

  2. SMART DECENTRALIZED WATER MANAGEMENT THROUGH A DYNAMIC INTEGRATION OF TECHNOLOGIES www.watintech.eu

  3. CONSORTIUM Scientific, Advisory and Stakeholder board IP Ignasi Rodriguez-Roda ICRA, UdG Spain Manel Poch UdG Spain Adrian Oehmen NOVA.ID.FCT Portugal Emile Cornelisses KWR The Netherlands Antonio Martins Aguas do Algarve Portugal K.V. Gernaey DTU Denmark Ulf Jeppsson Lund University Sweden Teresa de la Torre Acciona Agua Spain Pedro Povoa Aguas do Algarve Portugal Giuseppe Cirelli UNICT Italy

  4. CONSORTIUM Kick off meeting, Girona, April 2016 2nd year meeting, Catania, April 2018 1st year meeting, Lisbon, February 2017

  5. GENERAL AIM AND INNOVATIVE ASPECTS • The aim of WATINTECH is to develop effective decentralized treatment concepts for sewage and urban run-off to recover: • Water • Energy (methane) • Value-added products (caustic, oxygen)

  6. GENERAL AIM AND INNOVATIVE ASPECTS • The aim of WATINTECH is to develop effective decentralized treatment concepts for sewage and urban run-off to recover: • Water • Energy (methane) • Value-added products (caustic, oxygen) • Dynamic interaction among the different technologies, flexibly adjusting their operations to the requirements.

  7. GENERAL AIM AND INNOVATIVE ASPECTS Combined Heat and Power unit METHANE ENERGY Chemically controlled sewer system Sewer network - wastewater Suburb Forward Osmosis Draw solution recovery NF/RO Anaerobic Bioreactor RECLAIMED WATER URBAN WATER RUN-OFF Electro Chemical system VALUE- ADDED CHEMICAL FOR H2S CONTROL Wastewater treatment plant with nitritation / denitritation pathway for N/P removal WP6 – Project management MF/UF membrane RECLAIMED WATER NUTRIENT RICH Excess run-off to combined sewers after CW treatment Constructed wetland WP3 – Sewer corrosion control WP1 – Water reclamation WP2 – Energy recovery WP4 – WWTP optimization WP5 – Modelling and system optimization

  8. MAIN FINDINGS & NEXT TARGETS 1a WATER production: wastewater FO filtration AIM: technical and economic evaluation of long term filtration

  9. MAIN FINDINGS & NEXT TARGETS 1a WATER production: wastewater FO filtration AIM: technical and economic evaluation of long term filtration • MAIN FINDINGS: • WW treatment by FO requires pretreatment to reduce membrane fouling • Membrane permeability is recovered by physical and chemical cleaning • Mainly reversible fouling: high recovery after chemical cleaning • NEXT TARGETS: • Spiral wound membranes evaluation in demo pilot plant. • Evaluation of alternative feed pretreatment technologies (sedimentation, filtration, DAF, coagulation-flocculation-sedimentation, • Optimization of the filtration/cleaning cycle.

  10. MAIN FINDINGS & NEXT TARGETS 1b WATER production: rain water harvesting with Constructed Wetlands AIM: to assess the effect of operational parameters on CW performance for rain water run-off in Mediterranean climates and to evaluate the impact of “accepting” nutrient rich effluents from domestic treatment technologies HF

  11. MAIN FINDINGS & NEXT TARGETS Typha latifolia Canna indica 1b WATER production: rain water harvesting with Constructed Wetlands Tank P P P FWS Pond AIM: to assess the effect of operational parameters on CW performance for rain water run-off in Mediterranean climates and to evaluate the impact of “accepting” nutrient rich effluents from domestic treatment technologies P Disposal Reuse P HF

  12. MAIN FINDINGS & NEXT TARGETS 1b WATER production: rain water harvesting with Constructed Wetlands AIM: to assess the effect of operational parameters on CW performance for rain water run-off in Mediterranean climates and to evaluate the impact of “accepting” nutrient rich effluents from domestic wastewater treatment FWS HF HF

  13. MAIN FINDINGS & NEXT TARGETS 1b WATER production: rain water harvesting with Constructed Wetlands (CW) • MAIN FINDINGS: • The use of hybrid CW for treatment of storm water run-off (IKEA parking area) and domestic wastewater (SBR) in Mediterranean climate conditions id feasible • Main removal of heavy metals was observed in HF configuration • Microbial indicators and pathogens removal was mainly observed in FWS • NEXT TARGETS: • Wastewater quality and hydraulic conditions monitoring • Bio-agronomical analyses and evaluation of water losses in CW

  14. MAIN FINDINGS & NEXT TARGETS 2 ENERGY production from concentrated wastewater AIM: Optimize energy recovery of an AnMBR treating wastewater concentrated with FO. Effect of dynamic change of temperature and HRT

  15. MAIN FINDINGS & NEXT TARGETS 2 ENERGY production from concentrated wastewater AIM: Optimize energy recovery of an AnMBR treating wastewater concentrated with FO. Effect of dynamic change of temperature and HRT • MAIN FINDINGS: • The temperature and the input-substrate ratio influence the production of methane in anMBR treating synthetic FO concentrated domestic ww • Lower temperatures led to higher lag phases and lower maximum methanogenic activity, with different final cumulative CH4 produced • Results of dissolved CH4 in the AnMBR did not change with temperature not confirming results from the BMP tests

  16. MAIN FINDINGS & NEXT TARGETS 2 ENERGY production from concentrated wastewater AIM: Optimize energy recovery of an AnMBR treating wastewater concentrated with FO. Effect of dynamic change of temperature and HRT • NEXT TARGETS: • Operate with real concentrated wastewater (semi-industrial FO process with 70% water recovery) • HRT from 40 to 10 hours • switching among15, 23 and 34 ºC • Comparison of MgCl2 and NaCl as draw solution

  17. MAIN FINDINGS & NEXT TARGETS 3 Value-added products generation with electrochemical system AIM: Electrochemical control and minimization of H2S formation in anaerobic systems to avoid partial inhibition of methanogenic activity

  18. MAIN FINDINGS & NEXT TARGETS 3 Value-added products generation with electrochemical system • MAIN FINDINGS: • Electrodes of activated carbon and graphite were efficient for sulfide removal in the anMBR at low sulfide concentrations • Different electrochemical sulfur recovery strategies were successfully applied to minimize electrode passivation

  19. MAIN FINDINGS & NEXT TARGETS 3 Value-added products generation with electrochemical system • NEXT TARGETS: • Test other precursors and surfactants (MnSO4 and H2SO4 at 1,6V at 95 ˚C are not very attractive for scaling up) • Test stability of MnOx under anodic and cathodic polarization in the batch cell • For coupling with AnMBR, another substrate should be used, probably Ti mesh

  20. MAIN FINDINGS & NEXT TARGETS 4 Evaluate the impact on the WWTP downstream AIM: Optimize the nitritation/denitritation pathway to remove nitrogen and phosphorus in the presence of wastewater with a low chemical oxygen demand (COD) content and minimize N2O production.

  21. MAIN FINDINGS & NEXT TARGETS 4 Evaluate the impact on the WWTP downstream • MAIN FINDINGS: • The impact of sewer mining on downstream centralized wastewater treatment has been quantified • Lack of denitrifying P removal exhibited by the abundant polyphosphate accumulating organism Tetrasphaera, suggesting that this organism is not useful for achieving simultaneous EBPR and N removal via the nitrite pathway

  22. MAIN FINDINGS & NEXT TARGETS 4 Evaluate the impact on the WWTP downstream • MAIN FINDINGS: • The impact of sewer mining on downstream centralized wastewater treatment has been quantified • Lack of denitrifying P removal exhibited by the abundant polyphosphate accumulating organism Tetrasphaera, suggesting that this organism is not useful for achieving simultaneous EBPR and N removal via the nitrite pathway • Aeration rate should be considered to be an important parameter impacting N2O emissions, independently of the DO concentration; • Higher loading rate of nutrients and COD (high season) was not as important a contributor to N2O emissions as compared to the aeration rate

  23. MAIN FINDINGS & NEXT TARGETS 4 Evaluate the impact on the WWTP downstream • NEXT TARGETS: • Evaluate the impact of an increase in saline concentration in wastewater on nitrogen removal and N2O emissions in the WWTP

  24. MAIN FINDINGS & NEXT TARGETS 5 Modelling and system optimization AIM: Develop a set of mathematical models describing some of the innovative processes to foster their integrated optimization

  25. MAIN FINDINGS & NEXT TARGETS 5 Modelling and system optimization • MAIN FINDINGS: 3 models • Integrated urban wastewater model: catchment, sewer, wwtp, receiving media • Plant wide model: description of P, S, Fe cycles within water and sludge line • General electrochemical system: applicable to electro-dialysis, electro-concentration and electro-conversion

  26. MAIN FINDINGS & NEXT TARGETS 5 Modelling and system optmization • NEXT TARGETS: • Further model testing with project partner data (model validation is very important) • Model development of remaining process units • Packaging of the different software tools in one prototype • Generation and simulation of different scenarios to evaluate overall process performance • Freely distribute software

  27. MAIN FINDINGS & NEXT TARGETS 6 Decision support system AIM: Develop a multi-criteria DSS based on the developed models and knowledge acquired for planning of integrated centralised/decentralised UWS • No findings yet... Next targets working group (experts, AB, stkh...) • qualitative pros and cons of each technology • cost, energy consumption, environmental impact estimation • potential interactions • alternative technologies for sewer mining • criteria list for the MCDA • define dynamic scenarios • perform simulations

  28. Deliverables and Dissemination

  29. Stakeholders & industry engagement FO: Acciona Agua + oMBR (ICRA) Rainwater harvesting: IKEA (+ SBR) Electrochemical system: LIFE (wetsus, nutrient recovery) Nitritation/denitritation pathway: Aguas do Algarve Modelling: free software, BSM community (IWA) DSS: ACA, cityhalls. H2020 (edicitnet & hydrousa) & cost action (circular city re.solution))

  30. WATINTECH Smart Decentralized Water Management through a dynamic integration of technologies Thanks for your atention Questions? Ignasi Rodriguez-Roda (irodriguezroda@icra.cat) www.watintech.cat Ignasi Rodriguez-Roda Layret Teresa de la Torre Garcia Giuseppe Luigi Cirelli Krist V. Gernaey Adrian Oehmen Water JPI WaterWorks2014 Cofunded Call 18 May 2016, Rome

More Related