WaterTAP3 Model Results for NAWI's Baseline Analyses

Miara, Ariel; Sitterley, Kurban; Talmadge, Michael; Evans, Anna; Huang, Zheng; Macknick, Jordan; McCall, James; Kurup, Parthiv; Akar, Sertac; Van Allsburg, Kurt; Stokes-Draut, Jennifer; Bartholomew, Timothy; Lee, Andrew; Gingerich, Daniel

doi:10.7481/1855248

Title: WaterTAP3 Model Results for NAWI's Baseline Analyses

Dataset
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Abstract

Description: This folder contains the results for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) baseline studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for Water Treatment and Supply. The data structure and content are described in a README.txt file. For more details on how to use the data and interpret the results please refer to the model documentation and GitHub site linked in the submission.

Authors:

Miara, Ariel; Sitterley, Kurban; Talmadge, Michael; Evans, Anna; Huang, Zheng; Macknick, Jordan; McCall, James; Kurup, Parthiv; Akar, Sertac; Van Allsburg, Kurt; Stokes-Draut, Jennifer; Bartholomew, Timothy; Lee, Andrew; Gingerich, Daniel

National Renewable Energy Laboratory

Publication Date:: Mon Jan 31 23:00:00 EST 2022

Other Number(s):: 16

Research Org.:: NAWI Water DAMS (Data Analysis and Management System); National Renewable Energy Laboratory

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Advanced Manufacturing Office (EE-5A)

Collaborations:: National Renewable Energy Laboratory

Subject:: 29 ENERGY PLANNING, POLICY, AND ECONOMY; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Energy Intensity; LCOW; NAWI; Reverse Osmosis; Water Recovery; WaterTAP3; agriculture; baseline; brackish; desalination; energy; industrial; mining; model; municipal; power; produced water; results; seawater; sensitivities; sensitivity analysis; techno-economic analysis x; techno-economic modeling; treatment train x; water treatment; zero liquid discharge

OSTI Identifier:: 1855248

DOI:: https://doi.org/10.7481/1855248

Citation Formats


                    Miara, Ariel, Sitterley, Kurban, Talmadge, Michael, Evans, Anna, Huang, Zheng, Macknick, Jordan, McCall, James, Kurup, Parthiv, Akar, Sertac, Van Allsburg, Kurt, Stokes-Draut, Jennifer, Bartholomew, Timothy, Lee, Andrew, and Gingerich, Daniel. WaterTAP3 Model Results for NAWI's Baseline Analyses.  United States: N. p., 2022. 
        Web.  doi:10.7481/1855248.

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                    Miara, Ariel, Sitterley, Kurban, Talmadge, Michael, Evans, Anna, Huang, Zheng, Macknick, Jordan, McCall, James, Kurup, Parthiv, Akar, Sertac, Van Allsburg, Kurt, Stokes-Draut, Jennifer, Bartholomew, Timothy, Lee, Andrew, & Gingerich, Daniel. WaterTAP3 Model Results for NAWI's Baseline Analyses.  United States.  doi:https://doi.org/10.7481/1855248

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                    Miara, Ariel, Sitterley, Kurban, Talmadge, Michael, Evans, Anna, Huang, Zheng, Macknick, Jordan, McCall, James, Kurup, Parthiv, Akar, Sertac, Van Allsburg, Kurt, Stokes-Draut, Jennifer, Bartholomew, Timothy, Lee, Andrew, and Gingerich, Daniel. 2022.  
"WaterTAP3 Model Results for NAWI's Baseline Analyses".  United States.  doi:https://doi.org/10.7481/1855248.  https://www.osti.gov/servlets/purl/1855248. Pub date:Mon Jan 31 23:00:00 EST 2022

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@article{osti_1855248,

  title        = {WaterTAP3 Model Results for NAWI's Baseline Analyses},

  author       = {Miara, Ariel and Sitterley, Kurban and Talmadge, Michael and Evans, Anna and Huang, Zheng and Macknick, Jordan and McCall, James and Kurup, Parthiv and Akar, Sertac and Van Allsburg, Kurt and Stokes-Draut, Jennifer and Bartholomew, Timothy and Lee, Andrew and Gingerich, Daniel},

  abstractNote = {Description: This folder contains the results for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) baseline studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for Water Treatment and Supply. The data structure and content are described in a README.txt file. For more details on how to use the data and interpret the results please refer to the model documentation and GitHub site linked in the submission.},

  doi          = {10.7481/1855248},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Jan 31 23:00:00 EST 2022},

  month        = {Mon Jan 31 23:00:00 EST 2022}

}

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DOI: https://doi.org/10.7481/1855248

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