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Pacific Northwest National Laboratory×

Recovery of Rare Earths, Precious Metals and Other Critical Materials from Geothermal Waters with Advanced Sorbent Structures

The work evaluates, develops and demonstrates flexible, scalable mineral extraction technology for geothermal brines based upon solid phase sorbent materials with a specific focus upon rare earth elements (REEs). The selected organic and inorganic sorbent materials demonstrated h...
Addleman, R. et al Pacific Northwest National Laboratory
Sep 30, 2015
2 Resources
0 Stars
Publicly accessible

Advanced Sorbent Structure Recovery of Rare Earths, Precious Metals and Other Critical Materials from Geothermal Waters and Its Associated Technoeconomics

The work evaluates, develops and demonstrates flexible, scalable mineral extraction technology for geothermal brines based upon solid phase sorbent materials with a specific focus upon rare earth elements (REEs). The selected organic and inorganic sorbent materials (silica and MOF...
Addleman, R. et al Pacific Northwest National Laboratory
Sep 21, 2016
1 Resources
0 Stars
Publicly accessible

Advanced Sorbent Structure Recovery of REEs, Precious Metals and Other Valuable Metals from Geothermal Waters and Its Associated Technoeconomics

This work evaluates, develops and demonstrates flexible, scalable mineral extraction technology for geothermal brines based upon solid phase sorbent materials with a specific focus upon rare earth elements (REEs). The selected organic and inorganic sorbent materials demonstrated h...
Addleman, S. et al Pacific Northwest National Laboratory
May 25, 2017
3 Resources
0 Stars
Publicly accessible

Core-Shell REE Sorbent Extraction Data

Solution chemical analysis data for magnetic core shell sorbent materials. Deionized water and brine solutions were spiked with five rare earth elements and the solutions analyzed after approximately 5 minutes exposure to the sorbent particles.
Thallapally, P. Pacific Northwest National Laboratory
Apr 27, 2017
1 Resources
0 Stars
Publicly accessible

Numerical Modeling for Hydraulic Fracture Prediction

Numerical modeling on fused silica cylindrical materials for predicting overpressures required to fracture an homogeneous pure (surrogate) material with known mechanical properties similar to igneous rock materials and later compare these values to experimental overpressures obtai...
Gupta, V. Pacific Northwest National Laboratory
Apr 26, 2016
1 Resources
0 Stars
Publicly accessible

Lab-Scale Stimulation Results on Surrogate Fused Silica Samples

Lab-scale stimulation work on non-porous fused silica (similar mechanical properties to igneous rock) was performed using pure water, pure CO2 and water/CO2 mixtures to compare back to back fracturing performance of these fluids with PNNL's StimuFrac.
Fernandez, C. Pacific Northwest National Laboratory
Jul 06, 2016
1 Resources
0 Stars
Publicly accessible

Self-Healing and Re-Adhering Polymer-Cements with Improved Toughness

Polymer-cement experiments were conducted in order to assess the chemical and thermal properties of various polymer-cement composites. This file set includes the following polymer-cement analyses: Polymer-Cement Composite Synthesis Polymer-Cement Interactions by Atomistic Simulat...
Fernandez, C. Pacific Northwest National Laboratory
Nov 11, 2015
10 Resources
0 Stars
Publicly accessible

Triton Field Trials (TFiT) underwater noise University of New Hampshire Living Bridge turbine Processed Data

In July 2021, a commercial-off-the-shelf hydrophone was deployed in a free-drifting configuration to measure underwater acoustic emissions and characterize a 25 kW-rated tidal turbine at the University of New Hampshire's Living Bridge Project in Portsmouth, New Hampshire. Sampling...
Haxel, J. et al Pacific Northwest National Laboratory
Jul 21, 2021
6 Resources
0 Stars
Publicly accessible

EGS Collab: Modeling and Simulation Working Group Teleconference Series (99-128)

This submission contains the presentation slides and recordings from EGS Collab Modeling and Simulation Working Group (MSWG) teleconferences number 99 through 128. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field acti...
White, M. et al Pacific Northwest National Laboratory
Jun 07, 2022
31 Resources
0 Stars
Publicly accessible

ARPA-E Grid Optimization (GO) Competition Challenge 3 update

adding data for Events 1-3 that were deleted.
Elbert, S. Pacific Northwest National Laboratory
May 29, 2024
19 Resources
0 Stars
In progress

ARPA-E Grid Optimization (GO) Competition Challenge 2

The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting transformers, switchable shunts, price-responsive demand, ramp rate constrained generators and l...
Elbert, S. et al Pacific Northwest National Laboratory
Sep 20, 2024
29 Resources
0 Stars
Curated

ARPA-E Grid Optimization (GO) Competition Challenge 1

The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The Challenge utilized sets of unique datasets generated by the ARPA-E GRID DATA program. Each da...
Elbert, S. et al Pacific Northwest National Laboratory
Aug 05, 2024
29 Resources
0 Stars
Curated

ARPA-E Grid Optimization (GO) Competition Challenge 3

Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public. The Grid Optimizat...
Elbert, S. et al Pacific Northwest National Laboratory
May 02, 2024
39 Resources
1 Stars
Curated

EGS Collab: Modeling and Simulation Working Group Teleconference Series (1-98)

This submission contains the presentation slides and recordings from the first 98 EGS Collab Modeling and Simulation Working Group teleconferences. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field activities and resul...
White, M. et al Pacific Northwest National Laboratory
Feb 04, 2020
100 Resources
0 Stars
Publicly accessible