Search results for "Performance prediction"

showing 3 items of 13 documents

Bipolar membrane reverse electrodialysis for the sustainable recovery of energy from pH gradients of industrial wastewater: Performance prediction by…

2021

Abstract The theoretical energy density extractable from acidic and alkaline solutions is higher than 20 kWh m−3 of single solution when mixing 1 M concentrated streams. Therefore, acidic and alkaline industrial wastewater have a huge potential for the recovery of energy. To this purpose, bipolar membrane reverse electrodialysis (BMRED) is an interesting, yet poorly studied technology for the conversion of the mixing entropy of solutions at different pH into electricity. Although it shows promising performance, only few works have been presented in the literature so far, and no comprehensive models have been developed yet. This work presents a mathematical multi-scale model based on a semi-…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciWork (thermodynamics)pH gradient energyEnvironmental Engineering0208 environmental biotechnologyMixing (process engineering)02 engineering and technologyWastewater010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesIndustrial wastewater treatmentElectricityRiversion-exchange membraneReversed electrodialysisPerformance predictionProcess engineeringelectro-membrane proceWaste Management and Disposal0105 earth and related environmental sciencesPower densitybusiness.industryProton-Motive ForceMembranes Artificialbipolar membrane reverse electrodialysisGeneral Medicinewastewater valorisation020801 environmental engineeringMembraneEnvironmental sciencebusinessEfficient energy useJournal of Environmental Management
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Multi-physical modelling of reverse electrodialysis

2017

Abstract Reverse electrodialysis (RED) is an electrochemical membrane process that directly converts the energy associated with the concentration difference between two salt solutions into electrical energy by means of a selective controlled mixing. The physics of RED involves the interaction of several phenomena of different nature and space-time scales. Therefore, mathematical modelling and numerical simulation tools are crucial for performance prediction. In this work, a multi-physical modelling approach for the simulation of RED units was developed. A periodic portion of a single cell pair was simulated in two dimensions. Fluid dynamics was simulated by the Navier-Stokes and continuity …

Work (thermodynamics)EngineeringSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciSettore ING-IND/25 - Impianti ChimiciGeneral Chemical EngineeringAnalytical chemistry02 engineering and technology020401 chemical engineeringStack (abstract data type)Reversed electrodialysisFluid dynamicsPerformance predictionGeneral Materials Science0204 chemical engineeringSettore ING-IND/19 - Impianti NucleariWater Science and TechnologyComputer simulationPlane (geometry)business.industryMechanical EngineeringGeneral ChemistryMechanics021001 nanoscience & nanotechnology6. Clean waterMembraneReverse electrodialysis multi-physical model finite element method power density profiled membranesSettore ING-IND/06 - Fluidodinamica0210 nano-technologybusiness
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Kinetic analysis of functional images: The case for a practical approach to performance prediction

1999

We present the first parallel medical application for the analysis of dynamic positron emission tomography (PET) images together with a practical performance model. The parallel application may improve the diagnosis for a patient (e. g. in epilepsy surgery) because it enables the fast computation of parametric images on a pixed level as opposed to the traditionally used region of interest (ROI) approach which is applied to determine an average parametric value for a particular anatomic region of the brain. We derive the performance model from the application context and show its relation to abstract machine models. We demonstrate the accuracy of the model to predict the runtime of the appli…

medicine.diagnostic_testRelation (database)Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFunctional imagingPositron emission tomographyRegion of interestPerformance predictionmedicineArtificial intelligencebusinessAlgorithmParametric statistics
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