Distributed desalination using solar energy: A technoeconomic framework to decarbonize nontraditional water treatment.

energy modeling energy resources energy sustainability engineering water resources engineering

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
17 Feb 2023
Historique:
entrez: 9 2 2023
pubmed: 10 2 2023
medline: 10 2 2023
Statut: epublish

Résumé

Desalination using renewable energy offers a route to transform our incumbent linear consumption model to a circular one. This transition will also shift desalination from large-scale centralized coastal facilities toward modular distributed inland plants. This new scale of desalination can be satisfied using solar energy to decarbonize water production, but additional considerations, such as storage and inland brine management, become important. Here, we evaluate the levelized cost of water for 16 solar desalination system configurations at 2 different salinities. For fossil fuel-driven plants, we find that zero-liquid discharge is economically favorable to inland brine disposal. For renewable desalination, we discover that solar-thermal energy is superior to photovoltaics due to low thermal storage cost and that energy storage, despite being expensive, outperforms water storage as the latter has a low utilization factor. The analysis also yields a promising outlook for solar desalination by 2030 as solar generation and storage costs decrease.

Identifiants

pubmed: 36756368
doi: 10.1016/j.isci.2023.105966
pii: S2589-0042(23)00043-3
pmc: PMC9900398
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

105966

Informations de copyright

© 2023 The Author(s).

Déclaration de conflit d'intérêts

The authors declare no competing interests.

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Auteurs

Akanksha K Menon (AK)

George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Energy Storage & Distributed Resources Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.

Mingxin Jia (M)

Energy Storage & Distributed Resources Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA 94720, USA.

Sumanjeet Kaur (S)

Energy Storage & Distributed Resources Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.

Chris Dames (C)

Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA 94720, USA.

Ravi S Prasher (RS)

Energy Storage & Distributed Resources Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA 94720, USA.

Classifications MeSH