A solar energy desalination analysis tool, sedat, with data and models for selecting technologies and regions
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-...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-05-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-022-01331-4 |
| _version_ | 1811256762803683328 |
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| author | Vasilis Fthenakis Gregory Yetman Zhuoran Zhang John Squires Adam A. Atia Diego-César Alarcón-Padilla Patricia Palenzuela Vikas Vicraman Guillermo Zaragoza |
| author_facet | Vasilis Fthenakis Gregory Yetman Zhuoran Zhang John Squires Adam A. Atia Diego-César Alarcón-Padilla Patricia Palenzuela Vikas Vicraman Guillermo Zaragoza |
| author_sort | Vasilis Fthenakis |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T17:46:15Z |
| format | Article |
| id | doaj.art-6d95ebaaddd04a76a0b5930f6e441ca6 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-04-12T17:46:15Z |
| publishDate | 2022-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-6d95ebaaddd04a76a0b5930f6e441ca62022-12-22T03:22:40ZengNature PortfolioScientific Data2052-44632022-05-019112010.1038/s41597-022-01331-4A solar energy desalination analysis tool, sedat, with data and models for selecting technologies and regionsVasilis Fthenakis0Gregory Yetman1Zhuoran Zhang2John Squires3Adam A. Atia4Diego-César Alarcón-Padilla5Patricia Palenzuela6Vikas Vicraman7Guillermo Zaragoza8Center for Life Cycle Analysis, School of Engineering and Applied Science, Columbia UniversityCIESIN - Center for International Earth Science Information Network, Columbia UniversityCenter for Life Cycle Analysis, School of Engineering and Applied Science, Columbia UniversityCIESIN - Center for International Earth Science Information Network, Columbia UniversityCenter for Life Cycle Analysis, School of Engineering and Applied Science, Columbia UniversityCIEMAT - Plataforma Solar de Almería. Ctra. Senés s/nCIEMAT - Plataforma Solar de Almería. Ctra. Senés s/nCenter for Life Cycle Analysis, School of Engineering and Applied Science, Columbia UniversityCIEMAT - Plataforma Solar de Almería. Ctra. Senés s/nAbstract 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.https://doi.org/10.1038/s41597-022-01331-4 |
| spellingShingle | Vasilis Fthenakis Gregory Yetman Zhuoran Zhang John Squires Adam A. Atia Diego-César Alarcón-Padilla Patricia Palenzuela Vikas Vicraman Guillermo Zaragoza A solar energy desalination analysis tool, sedat, with data and models for selecting technologies and regions Scientific Data |
| title | A solar energy desalination analysis tool, sedat, with data and models for selecting technologies and regions |
| title_full | A solar energy desalination analysis tool, sedat, with data and models for selecting technologies and regions |
| title_fullStr | A solar energy desalination analysis tool, sedat, with data and models for selecting technologies and regions |
| title_full_unstemmed | A solar energy desalination analysis tool, sedat, with data and models for selecting technologies and regions |
| title_short | A solar energy desalination analysis tool, sedat, with data and models for selecting technologies and regions |
| title_sort | solar energy desalination analysis tool sedat with data and models for selecting technologies and regions |
| url | https://doi.org/10.1038/s41597-022-01331-4 |
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