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NETLA feasibility study of carbon capture and storage at Fort Nelson. PHILOSOPHY OF THE BEST PRACTICES MANUAL DOE has established a process whereby information is conveyed to CCS...
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Dataset Size: 6.505 MB
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NETLNeumann Systems Group, Inc. (NSG) has designed, constructed, and tested a 0.5-MW scale patented NeuStream® absorber at the Colorado Springs Utilities (CSU) Martin Drake #7 power...
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Dataset Size: 428.46 KB
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NETLInnoSepra, LLC is developing a low-cost capture process using structured sorbents to remove carbon dioxide (CO2) from low-concentration feed streams. This project is based on...
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Dataset Size: 397.646 KB
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NETLThe University of Cincinnati (UC) is developing a revolutionary carbon dioxide (CO2) capture system optimized for direct air capture (DAC). The technology utilizes an...
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Dataset Size: 333.438 KB
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NETLAspen Aerogels designed an innovative aerogel sorbent for carbon dioxide (CO2) capture with improved CO2 capacity, high adsorption/desorption cyclic stability, and resistance to...
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Dataset Size: 296.03 KB
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NETLThe overall goal of this project is to bring Membrane Technology and Research, Inc.’s (MTR) innovative membrane-based post-combustion carbon dioxide (CO2) capture process to the...
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Dataset Size: 486.853 KB
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NETLMembrane Technology and Research, Inc. (MTR) is developing composite membranes with superior carbon capture performance using a novel transformational approach. Two membrane...
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Dataset Size: 626.434 KB
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NETLThe University of North Dakota (UND) and Envergex LLC are developing a solid sorbent technology—Capture from Existing Coal-Fired Plants by Hybrid Sorption (CACHYS™)—that is...
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Dataset Size: 85.616 KB
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NETLElectricore Inc. is advancing a direct air capture (DAC) technology that combines a vacuum-temperature swing carbon dioxide (CO2) adsorption process with structured adsorbent...
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Dataset Size: 767.569 KB
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NETLMembrane Technology and Research (MTR) is developing a new type of membrane contactor (or mega-module) to decrease capture costs, energy use, and system footprint through...
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Dataset Size: 82.265 KB
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NETLThe University of Illinois and its partners will perform a front-end engineering design (FEED) study for the retrofit of the Prairie State Generation Company’s (PSGC) coal-fired...
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Dataset Size: 1.202 MB
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NETLSRI International (SRI)’s goal was development of a carbon dioxide (CO2) capture technology for integrated gasification combined cycle (IGCC)-based power plants that uses a...
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Dataset Size: 419.196 KB
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NETLSRI International is developing a novel ammonia (NH3) and potassium carbonate (K2CO3)-based mixed-salt solvent carbon dioxide (CO2) capture process. Large bench-scale and...
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Dataset Size: 649.208 KB
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NETLThis report documents the efforts taken to develop a preliminary design for the first commercial-scale CO2 capture and sequestration (CCS) project associated with biomass power...
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Dataset Size: 7.332 MB
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NETLGas Technology Institute (GTI) is advancing the Ohio State University’s (OSU) transformational membrane-based carbon dioxide (CO2) capture technology through engineering-scale...
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Dataset Size: 763.188 KB
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NETLResearch Triangle Institute (RTI) is developing and testing, at large pilot scale, a non-aqueous solvent (NAS; i.e., water-lean solvent) carbon dioxide (CO2) capture process to...
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Dataset Size: 430.063 KB
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NETLThe University of Delaware is developing an electrochemically-driven carbon dioxide (CO2) separator (EDCS) using poly(aryl piperidinium) (PAP) ionomers that performs...
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Dataset Size: 470.909 KB
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NETLGlobal Thermostat LLC (Global), in partnership with Zero Carbon Partners, VADA LLC, Georgia Institute of Technology, and the National Renewable Energy Lab, will develop a...
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Dataset Size: 452.255 KB
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Geospatial NETLOverview The Carbon Management Projects (CONNECT) Toolkit is an online exploratory visualization tool developed by the U.S. Department of Energy's (DOE) Office of Fossil Energy...
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Dataset Size: 1.191 MB
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NETLRepository for the data generated as part of the 2023-2024 ALCC project "Machine Learning-Enhanced Multiphase CFD for Carbon Capture Modeling." The data was generated with...
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Dataset Size: 619.773 GB
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