CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.
Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .
Rezultaty
Proceedings of final Workshop scheduled to be held in Birmingham at 42 month
Report on the design and operation condition for demonstration units of WP5, WP6 and WP7 (odnośnik otworzy się w nowym oknie)Conceptual design for the 3 pilot-scale systems
P&ID and functional description of the integrated RED and MD pilot unit (odnośnik otworzy się w nowym oknie)Definition of the Process Flow Diagram PFD and subsequent Piping and Instrument Drawing PID plus functional description of the pilot unit Design documents for the construction of the pilot and programming of the control software
Sensors datasheets and features. (odnośnik otworzy się w nowym oknie)For each sensor a datasheet will be drawn up containing communication protocol power supply full scale resolution precision linearity POLITO FUEL Techedge Especially for the PLC based controller a study will be contacted towards migrating the design to the cloud
Health and Safety assessment. (odnośnik otworzy się w nowym oknie)Treatment of wastewater may pose risks to the health of WWT operators since wastewater is a rich substrate for several bacterial, fungal, viruses and contains a range of chemicals depending on the nature of the sewage. Wastewater treatment systems are moreover becoming increasingly important for the treatment and dispersal of the effluents. The aim here is to assess the potential risk associated with WWT with focus on the occupational exposure assessment in line with the risk assessment paradigm (Hazard identification, Dose-response assessment, Exposure assessment, Risk Characterization). Risk assessment will be estimated by applying modelling approach (e.g. online control banding and risk management tool) and using criteria of severity and probability of accident.The assessment of health and safety aspects will encompass the identification of all major internal and external health and safety factors that influence or potentially have impacts on the application of the new technologies in WWT.
Report on results of peration and fine tuning of the smart monitoring based on Machine learning (NCSRD, M42) (odnośnik otworzy się w nowym oknie)Retrain system for the input-outputs of this application (Refrigeration tower) adapting neural networks of the algorithm to the requirements. The Reinforcement Learning algorithm will learn from the data provided by simulator and real time
Report on the operation of the lab scale MD/MCr process. (odnośnik otworzy się w nowym oknie)Periodic Risk Monitoring Report (odnośnik otworzy się w nowym oknie)
This report will include the identification of new potential risks and the definition of mitigation measures as well as the monitoring of the implementation of such measures
Report on the water use for all the intelWATT's case studies applications (odnośnik otworzy się w nowym oknie)In this task a complete physicochemical characterisation of every process and wastewater effluent will be performed Indicative analytical method that will be used include ICP AAS UVVis HPLC Ionic chromatography etcAdditionally the operating conditions will be analysed in detail in order to explore water preservation potentials in every intelWATTs application
Plan for the Exploitation and Dissemination of Results (PEDR). (odnośnik otworzy się w nowym oknie)The main outcome of this deliverable will be the Plan for the Exploitation and Dissemination of Results PEDR
LCSA of case study 2, Integrated energy harvesting from mining brines. (odnośnik otworzy się w nowym oknie)In this task the methodology defined in T8.1 will be applied to case study 2 (WP6) to get the Life Cycle Sustainability Assessment of the new technology. The assessment will be performed through the collection of primary data from the case study for environmental, economic, social and circularity aspects. Data will be elaborated with appropriate software sans models according to the methodology defined in T8.1. The final result of the task will be the Life Cycle Sustainability Assessment of the technology “Hybrid process for water recovery and energy harvesting from industrial brines”.
Report on scalability of AWC-NF membranes for nanofiltration. (odnośnik otworzy się w nowym oknie)Report on scalability of AWCNF membranes for nanofiltration
LCSA of case study 1, CTBD treatment. (odnośnik otworzy się w nowym oknie)In this task the methodology defined in T8.1 will be applied to case study 1 (WP5) to get the Life Cycle Sustainability Assessment of the new technology. The assessment will be performed through the collection of primary data from the case study for environmental, economic, social and circularity aspects. Data will be elaborated with appropriate software sans models according to the methodology defined in T8.1. The final result of the task will be the Life Cycle Sustainability Assessment of the technology “Fresh water preservation in combined cycle power plant”.
Report on the selection of membranes for Case Studies 1 and 2 (odnośnik otworzy się w nowym oknie)Report on the selection of membranes for Case Studies 1 and 2 WP4 5
First report on synthesis and characterization of graphene-based membrane (POLITO, M6) (odnośnik otworzy się w nowym oknie)Graphene oxide will be considered for the fabrication of ionically selective membrane Commercial GO powder will be used to fabricate labscale GO membrane by vacuum filtration of GObased water dispersion At the same time alternative membrane fabrication process will be investigated screen printing calendaring doctorblade spin coating as preliminary step for subsequent scaling up The GO membranes will be functionalized in order to obtain a selfpolarization of the membrane residual positive and negative charge for anion and cationexchange membranes respectively The GO membranes will be characterized both by SEM Raman XPS and TEM
Report on the evaluation of performance of the treatment unit. (odnośnik otworzy się w nowym oknie)BIA supported by NI, UoB and THK will operate the prototype and asses its performance. The following parameters will be continuously evaluated:- long term water productivity and preservation- the automation response / machine learning behavior- operational stability and reliability (membranes, equipment and sensors-IoT)- metal recovery and reuse- maintenance needs, warning and possible failure investigations- mass and energy balances- any safety issues that may rise- corrosion and fouling/scaling phenomena- operational costs
Final report on synthesis and physical/chemical characterizations of nanomaterials for innovative membranes (odnośnik otworzy się w nowym oknie)Scaling up of GO membrane production. Scale up of the GO membrane fabricationfrom 4.7 cm in diameter up to about 20 cm in diameter and tested in REDstack’s facilities.
Report on sensors requirements in order to achieve quantitative water analysis. (odnośnik otworzy się w nowym oknie)The technical specifications of commercial water monitoring sensors will be studied such as colorimetric sensors portable spectrophotometric sensors electrical conductivity meter turbidity meter assessing their applicability and efficiency Politecnico di Torino will also investigate the development of MEMS type sensors which are particularly reliable and low energyconsuming combining high consistency and efficiency
Final LCSA Methodology. (odnośnik otworzy się w nowym oknie)The LCA methodology will be validated during the project and finalized after the application to the case studies at the end of the project.
Initial LCSA Methodology for intelWATT. (odnośnik otworzy się w nowym oknie)In this task the LCSA methodology will be defined. In particular, the methodologies for (environmental) LCA, LCC and Social LCA will be combined and harmonized along the four traditional Life Cycle Assessment phases (Goal&Scope definition, Life Cycle Inventory, Life Cycle Impact Assessment and Interpretation). A circularity index will be developed to evaluate the circularity level of the new WWT technologies. The results of environmental, economic, social and circularity assessment will be weighted and combined in a final sustainability assessment.
Training plan. (odnośnik otworzy się w nowym oknie)The main outcome of this deliverable is a plan describing all the training activities that will contribute to professional development through advanced training of researchers and other key staff research managers industrial executives and potential users of knowledge generated by the project
Quality Assurance Plan. (odnośnik otworzy się w nowym oknie)Quality Assurance Plan that will include rules for preparing the deliverables and the ways of verification
Report on the physicochemical properties for all feed and waste water streams and key quality monitoring parameters (odnośnik otworzy się w nowym oknie)Determination of the physicochemical properties for all feed and waste water streams including chemical compositions temperatures and flow ratesDefinition of the most representative key quality parameters for on line monitoring
Lab scale assessment of highly selective artificial water channels membranes AWC-MD for membrane distillation (odnośnik otworzy się w nowym oknie)Lab scale assessment of highly selective artificial water channels membranes AWCMD for membrane distillation
Report on fabrication of highly selective artificial water channels membranes AWC-NF for nanofiltration (odnośnik otworzy się w nowym oknie)Report on fabrication of highly selective artificial water channels membranes AWCNF for nanofiltration
Study on the replication potential of intelWATT's technologies (odnośnik otworzy się w nowym oknie)Study on the replication potential of intelWATT technological innovations in water stressed Mediterranean regions.
Report on optimizations and control of porosity and surface chemistry in graphene-based membrane (odnośnik otworzy się w nowym oknie)The porous materials will be infiltrated with low cost IEM eg SPEEK SPES dissolved in a suitable solvent in order to get a compenetrated multilayer reducing the impedance associated to the thick membrane commonly used in membraneassisted processes maximizing the interface and allowing to higher energy conversion efficiency Additional infiltration can be obtained by ALD process in order to have atomiclayer thick metaloxides inside the GO channel Moreover interlayer distance will be controlled and partially tuned by acting on the drying state and exploiting functional link acting as spacers Other 2D materials such as MXenes will be considered for the fabrication of composite membranes
Report on intelWATT training schools. (odnośnik otworzy się w nowym oknie)A report all the different training approaches will be adopted by intelWATT including among others a) Organisation of one or more training events (“intelWATT school”) integrated in existing curricula and modules for high-degree students and young researchers of the institutions involved (both academia and enterprises) with well-defined focus in line with the progress of activities, b) Staff exchange between partner’s institutions, especially of young researchers. This (short) mobility plan includes in particular personnel exchange between involved academia/research institutes and enterprises; this will facilitate extensive transfer of knowledge and technology transfer at later stages. This will open job opportunities for young trained students (PhD, post-docs) in the industry, c) Periodic technical meetings and d) Organization of a final workshop conference
Report on results from lab systems on fouling/scaling studies (odnośnik otworzy się w nowym oknie)The fouling tendency of all the membranes that will be used in intelWATTs processes will be evaluated by first analyzing the relevant feedwater quality properties These parameters include a Biological organic indices Microbial ATP Bacterial growth potential BGP LCOCD Total Organic Carbon TOC Total Nitrogen TN and Orthophosphate b Particulate fouling indices SDI045 MFI045 MFI10 KDa and c Transparent exopolymer particles TEP10KDa Identification of fouling types will be performed based on the membrane autopsy of the fouled membrane Based on the results the best pretreatment options will be suggested
Report on scalability of ion exchange and MD/MCr membranes (odnośnik otworzy się w nowym oknie)Polyvinylidenefluoride PVDF and the more hydrophobic copolymer Polyvinylidenefluoride Hexafluoropropylene PVDFHFP will be used for the fabrication of MDMCr membranes Drywet spinning and the wetspinning phase inversion methods will be applied for HF type membrane while dry casting will be employed for the flat sheet configuration The produced membranes will be characterized in terms of membrane distillation performance pore structure and fouling resistance In collaboration with THK and with support from CUT the appropriate modules for the application will be implemented
Data Lake Design Document. (odnośnik otworzy się w nowym oknie)Data Lake Design Document
Report on the evaluation of performance of the CTBD demo unit (PPC, M42) (odnośnik otworzy się w nowym oknie)During this period PPC supported by NI and NCSRD will operate the prototype and asses its performance.The following parameters will be continuously evaluated:- long term water productivity and preservation- the automation response / machine learning behavior- operational stability and reliability (membranes, equipment and sensors-IoT)- energy consumption and fluctuations- maintenance needs, warning and possible failure investigations- mass and energy balances- any safety issues that may rise- corrosion and fouling/scaling phenomena- operational costs
LCSA of case study 3, Hybrid system for the recovery of electrolytes and water preservation. (odnośnik otworzy się w nowym oknie)In this task the methodology defined in T8.1 will be applied to case study 3 (WP7) to get the Life Cycle Sustainability Assessment of the new technology. The assessment will be performed through the collection of primary data from the case study for environmental, economic, social and circularity aspects. Data will be elaborated with appropriate software sans models according to the methodology defined in T8.1. The final result of the task will be the Life Cycle Sustainability Assessment of the technology “Tailor made membrane and ion exchange resin development and upscale”
Report on optimization and characterization of tubular pretreatment UF membrane (odnośnik otworzy się w nowym oknie)The UF tubular membrane modules already used as standard at CUT are optimized based on the requirements of WP2 and findings of WP3 The corresponding improvements will include both the tubular nonwoven which serves as the membrane support and the actual membranes
The Deep Learning algorithm will be developed using a DL framework tensorflowkeras or pytorch and will be specifically designed for general purpose process control
Deep Learning system design document. (odnośnik otworzy się w nowym oknie)Deep Learning system design document
Smart Monitoring System Design document. (odnośnik otworzy się w nowym oknie)Smart Monitoring System Design document
Set up of the project management collaborative tool (odnośnik otworzy się w nowym oknie)IMPACT platform integrated. (odnośnik otworzy się w nowym oknie)
This platform will be able to implement the following tasks: a) manage sensors subscription southbound and b) Collect and interchange data using LWM2M, LWPA (NB-IoT), MQTT, TR-069 or other industrial protocols like MODBUS, apply security, data privacy and segregation policies for IoT applications and enterprises.
Functional cloud-based platform user interface dashboard (odnośnik otworzy się w nowym oknie)Analysis on dashboard data and functionalities, optimization of integrated systems and redesign of sensors and final optimization of design based on performance, connectivity, edge computing functionality and power supply. Optimization and finalization of machine learning process based on testing of the pilot system.
NI Platform integrated. (odnośnik otworzy się w nowym oknie)The integration between NI-Connect platform the PLCs and Impact platform will be analyzed. NI will undertake to design any modification needed in order to maintain compatibility with the other systems. The NI-Connect will be adapted and deployed in the landscape in order to be integrated with the other components of the smart control system
Sensor data ingestion system Implementation. (odnośnik otworzy się w nowym oknie)Sensor data ingestion system Implementation
Membrane Simulator implemented (odnośnik otworzy się w nowym oknie)The simulator component will be developed in order to provide input and output data to train the deep learning control system before the real scenario will be deployed. Simulator will model the membrane behavior (input and output data) through three different way; (1) mathematical models of current membranes, (2) mathematical models of membranes and (3) historical data of similar scenarios. This component will be able to score the fitting of each model and balance the contribution for the overall result of the simulation.
Dashboard Design Document. (odnośnik otworzy się w nowym oknie)Dashboard Design Document
Integrated sensors platform design. (odnośnik otworzy się w nowym oknie)The implementation of a modular general purposed system is envisaged for monitoring key process indicators This system will be able to integrate different types of sensors MEMS sensors traditional sensors laser sensors fiber optic sensors etc which will be customized in relation to the different application to which they are intended The great advantage of the proposed system will be to allow high efficiency dynamic monitoring capable of increasing the quantity and quality of data available in IoT perspective in order to evaluate the presence of analytes in the aqueous sample before and after treatment and to evaluate the process parameters
Engineering & automation detailed design for CTBD treatment protype (odnośnik otworzy się w nowym oknie)NI will provide the detailed design and construct the unit in a compact form. The unit will operate with a capacity of 100 m3/day (3% of the actual CTBD discharge stream) aiming at significant reductions of water consumption (>99%) though a tailor-made decision-making design.
Design of Sensor data ingestion mechanism. (odnośnik otworzy się w nowym oknie)Design of Sensor data ingestion mechanism
Data Lake System Implementation. (odnośnik otworzy się w nowym oknie)The data lake will able to store the incoming data from the sensors and actuators in the three demonstration plants. The “data lake” will store the raw information as it is sent from the devices and provide a data processing pipeline that will validate, clean, homogenize, aggregate and transfer the data to a data storage that will serve as the data source for the digital twin and the representation dashboards, as well as, the Deep Learning algorithms. The data store will also provide a semantic data layer that will enrich the information with annotations to be used in the dashboard representations and the digital twins. This semantic data will be provided by the data processing pipeline and act as an abstraction layer between the raw data coming from the sensors and the representation layers, allowing to have a common representation model for the several processes involved.The data lake will be a common infrastructure to the three case studies and will be hosted in a public or private cloud environment accessible to all interested parties under high security provided by the IMPACT platform. Data processing will be carried by elastic infrastructure components based on big data techniques such as Spark and Hadoop and running on containerized workload management environments such as Kubernetes.
Engineering & automation detailed design for treatment prototype. (odnośnik otworzy się w nowym oknie)Engineering & automation detailed design for HRRO/IX treatment prototype
Delivery of PVDF based membranes for MD/MCr (100 m2 with minimum water flux @ ΔT 60oC 20LMH and >99.5% salt rejection)
Lab scale RED/MD unit (odnośnik otworzy się w nowym oknie)Lab scale development integration and optimization of the RED MD treatment process
Delivery of optimized tubular UF membrane modules (odnośnik otworzy się w nowym oknie)The optimized Tubular UF modules will be delivered to CNR-ITM, NCSR and THK and for use in the case studies (WP’s 5, 6 and 7).
A fully operational TRL7 CTBD unit (odnośnik otworzy się w nowym oknie)A fully operational TRL7 of 100m3/day capacity for the treatment of cooling tower water installed to the PPC Megalopolis power plant unit achieving >99% recovery at 0.30€/m3
Smart Monitoring System Integrate. (odnośnik otworzy się w nowym oknie)Smart Monitoring System Integrated
Delivery of nanofiltration membranes (odnośnik otworzy się w nowym oknie)Delivery of nanofiltration membranes achieving 50 LMH water flux and >98% salt rejection (2000 ppm MgSO4) at 5bar
Lab scale CTBD treatment unit (odnośnik otworzy się w nowym oknie)Integration and evaluation of the conventional (pressure, temperature, conductivity, turbidity flowmeter etc), as well as, the customized (Fe2+, SO42+ and Cl-) sensors will be performed ensuring alignment with the KPI’s set in WP1. Using membranes (4-inch diameter) and modules provided by NI and CUT, along a dedicated pre-treatment testing system (CUT), process conditions and configurations of the CTBD lab unit will be optimized. Zero liquid discharge will be introduced though membrane distillation, crystallisation subprocess developed by NCSRD, THK & CUT.
Lab scale HRRO unit for integration with IX (odnośnik otworzy się w nowym oknie)Lab scale HRRO unit approx 05 m3hr output for integration with IX
A fully operational TRL8 of 25m³/day capacity for the recovery and reuse of metals (copper, chromium and nickel and water from plastic electroplating wastewater (BIA GmbH, Solingen, Germany). (odnośnik otworzy się w nowym oknie)NI will supervise the construction, installation and commissioning of the unit under the assistance of THK, UoB, BIA, NOKIA, Techedge and Fuelics. Fuelics, Techedge and NOKIA will be responsible for the online monitoring and data management subsystems of the unit developed in WP8 to ensure interconnectivity with machine learning software.
Fully operational integrated RED and MD pilot unit. (odnośnik otworzy się w nowym oknie)Construction of the pilot unit according to the optimized design aspects at the pilot site in Castellgali. Integration of the RED units, manufactured and assembled by REDstack, and MD units, supplied by NCRSD, in the pilot. Programming of the control software by FUEL, to allow the development and testing of the smart process control. Commissioning of the pilot unit at the pilot site at Castelgalli. Start-up of the system.
Lab scale HRRO/IX unit (odnośnik otworzy się w nowym oknie)Lab scale development, integration and optimization of the hybrid HRRO/IX treatment process for metal plating effluents
Dashboard System Implementation. (odnośnik otworzy się w nowym oknie)The dashboard functionality will provide information about the signals, both of their status and their history and future trends, as well as allowing to analyse the state of the predictive model and its performance over time. On one hand, Techedge will create several dashboards that allow to visualize in a centralized way the current state of the input and output signals, from which it will be possible to validate the current state of each scenario under study and the possible incidents related to the different signs. Dashboard will be able to visualize the historical information of the signals and, through different analytical models, will be able to visualize the tendency of those signals in the future to be able to act preventively. The other scenario will allow analysing the effectiveness of predictive models over time and visualize how the actions carried out by deep learning models have influenced the system positively or negatively. From these dashboards, it will be possible to discover how the retraining performed by the system can improve the results, making the environment more and more efficient.
Report on Open Research Data Pilot and Data management Plan Periodic updates along with the projects reporting periods
Development of and regular updating of the intelWATT web site and social media presence including LinkedIn ResearchGate FB and Twitter
Project graphic identity (LOGO), leaflet and poster (odnośnik otworzy się w nowym oknie)The specific deliverable includes among others the development of project public website intelWATT leaflet intelWATT posters as well as the creation of the project graphic identity Logo
Publikacje
Autorzy:
Roxanne Engstler; Jan Reipert; Somayeh Karimi; Josipa Lisičar Vukušić; Felix Heinzler; Philip Davies; Mathias Ulbricht; Stéphan Barbe
Opublikowane w:
Membranes; Volume 12; Numer 9; Pages: 853, Numer 1, 2022, Strona(/y) 853, ISSN 2077-0375
Wydawca:
Molecular Diversity Preservation International
DOI:
10.3390/membranes12090853
Autorzy:
Antonio Lezzoche, Anna Aixalà‐Perelló, Alessandro Pedico, Marco Laurenti, Federico Raffone, Andrea Lamberti
Opublikowane w:
Advanced Sustainable Systems, Numer 7, 2023, ISSN 2366-7486
Wydawca:
Wiley
DOI:
10.1002/adsu.202300046
Autorzy:
Josipa Lisičar Vukušić, Thomas Millenautzki, Stéphan Barbe
Opublikowane w:
AgriEngineering, Numer 5, 2023, Strona(/y) 2238-2252, ISSN 2504-3900
Wydawca:
MDPI
DOI:
10.3390/agriengineering5040137
Autorzy:
Ebrahim Hosseinipour; Somayeh Karimi; Stéphan Barbe; Kiho Park; Philip A. Davies
Opublikowane w:
Desalination, Numer Volume 544, 15 December 2022, 116126, 2022, ISSN 0011-9164
Wydawca:
Elsevier BV
DOI:
10.1016/j.desal.2022.116126
Autorzy:
R. Engstler, E Hosseinipour, S. Yilmaz, F. Heinzler, M. Wagner, M. Ulbrichtb, P. Davies, S. Barbe
Opublikowane w:
ACS ES&T Water, 2024, ISSN 2690-0637
Wydawca:
ACS
Autorzy:
Kelvinraj Nursiah, Valentina-Elena Musteata, Sophie Cerneaux, Mihail Barboiu
Opublikowane w:
Frontiers in Membrane Science and Technology, Numer 2, 2023, ISSN 2813-1010
Wydawca:
Frontiers Media S.A / Frontiers in Membrane Science and Technology
DOI:
10.3389/frmst.2023.1241526
Autorzy:
Enrica Fontananova, Elvira Pantuso, Laura Donato, Elisa Esposito, Rosanna Rizzi, Rocco Caliandro, Gianluca Di Profio
Opublikowane w:
npj Clean Water, Numer 7, 2024, ISSN 2059-7037
Wydawca:
Springer Nature
DOI:
10.1038/s41545-024-00404-8
Autorzy:
Enrica Fontananova, Valentina Grosso, Elvira Pantuso, Laura Donato, Gianluca Di Profio
Opublikowane w:
Journal of Membrane Science, Numer Volume 676, 15 June 2023, 121585, 2023, ISSN 0376-7388
Wydawca:
Elsevier BV
DOI:
10.1016/j.memsci.2023.121585
Autorzy:
Bohr, Sven Johann; Wang, Fei; Metze, Michael; Vukušić, Josipa Lisičar; Sapalidis, Andreas; Ulbricht, Mathias; Nestler, Britta; Barbe, Stéphan
Opublikowane w:
Frontiers in Sustainability, Numer Volume 4,2023, 2023, ISSN 2673-4524
Wydawca:
Frontiers Media S.A
DOI:
10.3389/frsus.2023.1093911
Autorzy:
Ioannis Tournis; Dimitris Tsiourvas; Zili Sideratou; Lamprini G. Boutsika; Aggeliki Papavasiliou; Nikos K. Boukos; Andreas A. Sapalidis
Opublikowane w:
Environmental Science Water Research & Technology, Numer 8, 2022, 2373, 2022, Strona(/y) 2373–2380, ISSN 2053-1419
Wydawca:
Royal society of Chemistry
DOI:
10.1039/d2ew00407k
Autorzy:
George V. Theodorakopoulos, Dionysios S. Karousos, Jan Benra, Stefan Forero, Ruben Hammerstein, Andreas A. Sapalidis, Fotios K. Katsaros, Tim Schubert, Evangelos P. Favvas
Opublikowane w:
Journal of Materials Science, Numer 59, 2024, Strona(/y) 3339-3362, ISSN 0022-2461
Wydawca:
Kluwer Academic Publishers
DOI:
10.1007/s10853-024-09413-x
Autorzy:
Giulia Mossotti, Andrea Piscitelli, Felice Catania, Matilde Aronne, Giulio Galfré, Andrea Lamberti, Sergio Ferrero, Luciano Scaltrito, Valentina Bertana
Opublikowane w:
Water, Numer 16, 2024, Strona(/y) 1167, ISSN 2073-4441
Wydawca:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/w16081167
Autorzy:
Akbar Samadi, Shahla Samadi, Gianluca Di Profio, Shuaifei Zhao, Enrica Fontananova
Opublikowane w:
Frontiers in Membrane Science and Technology, Numer 3, 2024, ISSN 2813-1010
Wydawca:
Frontiers
DOI:
10.3389/frmst.2024.1348874
Autorzy:
Anna Aixalà-Perelló, Federico Raffone, Luisa Baudino, Alessandro Pedico, Mara Serrapede, Giancarlo Cicero, Andrea Lamberti
Opublikowane w:
Advanced Energy and Sustainability Research, 2023, ISSN 2699-9412
Wydawca:
WILEY
DOI:
10.22541/au.169762731.13130845/v1
Autorzy:
Roxanne Engstler, Ebrahim Hosseinipour, Seval Yilmaz, Felix Heinzler, Marvin Wagner, Mathias Ulbricht, Philip Davies, Stéphan Barbe
Opublikowane w:
ACS ES&T Water, Numer 4, 2024, Strona(/y) 5461-5472, ISSN 2690-0637
Wydawca:
American Chemical Society
DOI:
10.1021/acsestwater.4c00556
Autorzy:
Alessandro Pedico, Luisa Baudino, Anna Aixalà-Perelló, Andrea Lamberti
Opublikowane w:
Membranes, Numer 13, 2023, Strona(/y) 429, ISSN 2077-0375
Wydawca:
Molecular Diversity Preservation International
DOI:
10.3390/membranes13040429
Autorzy:
Ebrahim Hosseinipour, Philip A.Davies
Opublikowane w:
Desalination, 2024, ISSN 0011-9164
Wydawca:
Elsevier BV
DOI:
10.1016/j.desal.2024.117717
Autorzy:
Somayeh Karimi, Roxanne Engstler, Ebrahim Hosseinipour, Felix Heinzler, Marvin Wagner, Marc Piepenbrink, Stephan Barbe, Philip Davies
Opublikowane w:
SSRN, 2023, ISSN 1875-6670
Wydawca:
Elsevier
DOI:
10.2139/ssrn.4675842
Autorzy:
Anna Aixalà-Perelló, Alessandro Pedico, Marco Laurenti, Enrica Fontananova, Sergio Bocchini, Ivan Vito Ferrari, Andrea Lamberti
Opublikowane w:
npj 2D Materials and Applications, Numer 7, 2023, ISSN 2397-7132
Wydawca:
Nature
DOI:
10.1038/s41699-023-00399-9
Autorzy:
Raphael Flack, Anna Aixalà-Perelló, Alessandro Pedico, Kobby Saadi, Andrea Lamberti, David Zitoun
Opublikowane w:
Membranes, Numer 13, 2023, Strona(/y) 695, ISSN 2077-0375
Wydawca:
Molecular Diversity Preservation International
DOI:
10.3390/membranes13080695
Autorzy:
S. Barbe, T. Millenautzki, J. Lisičar Vukušić, P. A. Davies
Opublikowane w:
2024
Wydawca:
GDL-Kongress Lebensmitteltechnologie 2024
DOI:
10.13140/rg.2.2.13012.00649
Autorzy:
E. Hosseinipour, S. Karimi and P. A. Davies
Opublikowane w:
Desalination for the Environment: Clean Water and Energy, 2023
Wydawca:
European Desalination Society
Autorzy:
P. A. Davies
Opublikowane w:
6th International Conference on Desalination using Membrane Technology, 2023
Wydawca:
MDPI
Autorzy:
S. Karimi, R. Engstler, E. Hosseinipour, S. Barbe, P. A. Davies
Opublikowane w:
Desalination for the Environment: Clean Water and Energy, 2023
Wydawca:
European Desalination Society
Autorzy:
Sven Johann Bohr, Kelvinraj Nursiah Loubna, Karfane Atfane, Sophie Cerneaux, Stéphan Barbe Mihail Barboiu
Opublikowane w:
Open Research Europe, 2024, ISSN 2732-5121
Wydawca:
F1000 Research Limited on behalf of the European Commission
DOI:
10.12688/openreseurope.17462.1
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