Optimization of net power density in Reverse Electrodialysis

Michele Ciofalo, Mariagiorgia La Cerva, Massimiliano Di Liberto, Luigi Gurreri, Andrea Cipollina and Giorgio Micale

Energy, 2019, vol. 181, issue C, 576-588

Abstract: Reverse Electrodialysis (RED) extracts electrical energy from the salinity difference between two solutions using selective ion exchange membranes. In RED, conditions yielding a large net power density (NPD) are generally desired, due to the still large cost of the membranes. NPD depends on a large number of physical and geometric parameters. Some of these, for example the inlet concentrations of concentrate and diluate, can be regarded as “scenario” variables, imposed by external constraints (e.g., availability) or chosen by different criteria than NPD maximization. Others, namely the thicknesses HCONC, HDIL and the velocities UCONC, UDIL in the concentrate and diluate channels, can be regarded as free design parameters and can be chosen so as to maximize NPD.

Keywords: Reverse electrodialysis; Net power density; Salinity gradient; Optimization; Gradient ascent (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:181:y:2019:i:c:p:576-588

DOI: 10.1016/j.energy.2019.05.183

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