6533b7defe1ef96bd1276279
RESEARCH PRODUCT
Maximum Net Power Density Conditions in Reverse Electrodialysis Stacks
Michele CiofaloMariagiorgia La CervaMassimiliano Di LibertoLuigi GurreriAndrea CipollinaGiorgio Micalesubject
Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciReverse Electrodialysis Net power density Salinity Gradient Concentration Polarization Optimization Gradient AscentSettore ING-IND/19 - Impianti Nuclearidescription
Reverse Electrodialysis (RED) harvests electrical energy from a salinity gradient. The maximum obtainable net power density (NPD) depends on many physical and geometric variables. Some have a monotonic (beneficial or detrimental) influence on NPD, and can be regarded as “scenario” variables chosen by criteria other than NPD maximization. Others, namely the thicknesses HCONC, HDIL and the velocities UCONC, UDIL in the concentrate and diluate channels, have contrasting effects, so that the NPD maximum is obtained for some intermediate values of these parameters. A 1-D model of a RED stack was coupled here with an optimization algorithm to determine the conditions of maximum NPD in the space of the variables HCONC, HDIL,UCONC, UDIL for different combinations of the “scenario” variables. The model accounts for entrance effects, property variation, concentration polarization, axial concentration changes, osmotic, electro-osmotic and diffusive fluxes, and can deal with complex channel geometries using Ohmic resistances, friction factors and mass transfer coefficients computed by 3-D simulations.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-01-01 |