A solar energy desalination analysis tool, sedat, with data and models for selecting technologies and regions

Fthenakis, Vasilis; Yetman, Gregory; Zhang, Zhuoran; Squires, John; Atia, Adam A.; Alarcón-Padilla, Diego-César; Palenzuela, Patricia; Vicraman, Vikas; Zaragoza, Guillermo

doi:10.1038/s41597-022-01331-4

Title: A solar energy desalination analysis tool, sedat, with data and models for selecting technologies and regions

Journal Article · 19 May 2022 · Scientific Data

DOI: https://doi.org/10.1038/s41597-022-01331-4 · OSTI ID:1869035

Fthenakis, Vasilis; Yetman, Gregory; Zhang, Zhuoran; Squires, John;

; Alarcón-Padilla, Diego-César; Palenzuela, Patricia; Vicraman, Vikas; Zaragoza, Guillermo

Abstract There is interest for desalination technologies powered by solar energy as arid areas are typically bestowed with good solar potential. In response to a US DOE call for solar desalination analysis tools, we developed an open-source solar energy desalination analysis tool, sedat , for techno-economical evaluation of desalination technologies and selection of regions with the highest potential for using solar energy to power desalination plants. It is expected that this software will simplify the planning, design, and valuation of solar desalination systems in the U.S. and worldwide. Sedat uses Dash for integrating various layers of large volumes of GIS data with Python-based models of solar energy generation and desalination technologies. It derives time-series of energy generation and water production, with details of plant performance and suggestions for improving the solar-desalination coupling. This paper summarizes the various phases of the tool’s development, presents example results showing the potential, under multiple objectives, of solar desalination in parts of the U.S. southwest, and discusses method details that would be useful for future model development.

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Research Organization:: Columbia Univ., New York, NY (United States)

Sponsoring Organization:: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: EE0008401

OSTI ID:: 1869035

Journal Information:: Scientific Data, Journal Name: Scientific Data Journal Issue: 1 Vol. 9; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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