Temporal variation of power production via reverse electrodialysis using coastal North Carolina waters and its correlation to temperature and conductivity

Elvin H. Hossen, Zoe E. Gobetz, Ryan S. Kingsbury, Fei Liu, Hannah C. Palko, Lindsay L. Dubbs, Orlando Coronell, Douglas F. Call

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Global estimates of electricity generation from coastal salinity gradient energy resources rely on the underlying assumption that these gradients are spatially and temporally stable. Refining these estimates requires a better understanding of coastal variations in water properties and their impact on power production. This study investigated power output in reverse electrodialysis (RED) cells by coupling seawater samples collected from three different sites along coastal North Carolina at five different sampling dates between 2016 and 2017 with wastewater effluent from a wastewater treatment facility as the dilute solution. We found that power density did not vary substantially across the sampling dates except for one notable drop in power for a sample collected during an approaching hurricane. For all sites, power output peaked during the summer season. Using our experimental results, we developed a semi-empirical predictive model of RED power output as a function of temperature and conductivity. The model was able to predict power density within approximately 20% of the experimental power densities for the seawater samples used in this study and others in the literature. Combining our modeling approach with temporal conductivity and temperature data may help identify promising sites for coastal salinity gradient energy installations.

Original languageEnglish (US)
Article number114562
JournalDesalination
Volume491
DOIs
StatePublished - Oct 1 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • General Chemical Engineering
  • General Materials Science
  • Water Science and Technology
  • Mechanical Engineering

Keywords

  • Predictive model
  • Reverse electrodialysis
  • Salinity gradient energy
  • Temporal variation

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