AndreaBozzo/ceres-open-data-index huggingface dataset:
Machine Learning-Enhanced Multiphase CFD for Carbon Capture Modeling run-07

Repository 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 MFIX-Exa's CFD-DEM model. The problem of interest is gravity driven, particle-laden, gas-solid flow in a triply-periodic domain of length 2048 particle diameters with an aspect ratio of 4. The mean particle concentration ranges from 1% to 40% and the Archimedes number ranges from 18 to 90. The particle-to-fluid density ratio, particle-particle restitution and friction coefficients and domain aspect ratio are held constant at values of 1000, 0.9, 0.25 and 4, respectively.

Tags: AMReX, Big Data, CFD-DEM, MFIX-Exa
Machine Learning-Enhanced Multiphase CFD for Carbon Capture Modeling run-06

Repository 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 MFIX-Exa's CFD-DEM model. The problem of interest is gravity driven, particle-laden, gas-solid flow in a triply-periodic domain of length 2048 particle diameters with an aspect ratio of 4. The mean particle concentration ranges from 1% to 40% and the Archimedes number ranges from 18 to 90. The particle-to-fluid density ratio, particle-particle restitution and friction coefficients and domain aspect ratio are held constant at values of 1000, 0.9, 0.25 and 4, respectively.

Tags: AMReX, Big Data, CFD-DEM, MFIX-Exa
Machine Learning-Enhanced Multiphase CFD for Carbon Capture Modeling run-05

Repository 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 MFIX-Exa's CFD-DEM model. The problem of interest is gravity driven, particle-laden, gas-solid flow in a triply-periodic domain of length 2048 particle diameters with an aspect ratio of 4. The mean particle concentration ranges from 1% to 40% and the Archimedes number ranges from 18 to 90. The particle-to-fluid density ratio, particle-particle restitution and friction coefficients and domain aspect ratio are held constant at values of 1000, 0.9, 0.25 and 4, respectively.

Tags: AMReX, Big Data, CFD-DEM, MFIX-Exa
Machine Learning-Enhanced Multiphase CFD for Carbon Capture Modeling run-04

Repository 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 MFIX-Exa's CFD-DEM model. The problem of interest is gravity driven, particle-laden, gas-solid flow in a triply-periodic domain of length 2048 particle diameters with an aspect ratio of 4. The mean particle concentration ranges from 1% to 40% and the Archimedes number ranges from 18 to 90. The particle-to-fluid density ratio, particle-particle restitution and friction coefficients and domain aspect ratio are held constant at values of 1000, 0.9, 0.25 and 4, respectively.

Tags: AMReX, Big Data, CFD-DEM, MFIX-Exa
[LCA UP] Surface Mine, East Interior Lignite, Operations

LCA Unit Process: Based on a compilation of mines, a surface mine for East Interior lignite coal, producing ~6 billion kg of coal per year. Assumes 32.2 scf/short ton coal mine CH4 (CMM) emissions, adjustable CMM capture rates, LHV=6860 Btu/lb. 
OSTI ID: 1509189

Tags: Group - Extraction Process, LCA Unit Process, Life Cycle Analysis Options - Coal, Process Scope - Operation
Machine Learning-Enhanced Multiphase CFD for Carbon Capture Modeling run-03

Repository 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 MFIX-Exa's CFD-DEM model. The problem of interest is gravity driven, particle-laden, gas-solid flow in a triply-periodic domain of length 2048 particle diameters with an aspect ratio of 4. The mean particle concentration ranges from 1% to 40% and the Archimedes number ranges from 18 to 90. The particle-to-fluid density ratio, particle-particle restitution and friction coefficients and domain aspect ratio are held constant at values of 1000, 0.9, 0.25 and 4, respectively.

Tags: AMReX, Big Data, CFD-DEM, MFIX-Exa
Machine Learning-Enhanced Multiphase CFD for Carbon Capture Modeling run-02

Repository 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 MFIX-Exa's CFD-DEM model. The problem of interest is gravity driven, particle-laden, gas-solid flow in a triply-periodic domain of length 2048 particle diameters with an aspect ratio of 4. The mean particle concentration ranges from 1% to 40% and the Archimedes number ranges from 18 to 90. The particle-to-fluid density ratio, particle-particle restitution and friction coefficients and domain aspect ratio are held constant at values of 1000, 0.9, 0.25 and 4, respectively.

Tags: AMReX, Big Data, CFD-DEM, MFIX-Exa
Machine Learning-Enhanced Multiphase CFD for Carbon Capture Modeling run-01

Repository 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 MFIX-Exa's CFD-DEM model. The problem of interest is gravity driven, particle-laden, gas-solid flow in a triply-periodic domain of length 2048 particle diameters with an aspect ratio of 4. The mean particle concentration ranges from 1% to 40% and the Archimedes number ranges from 18 to 90. The particle-to-fluid density ratio, particle-particle restitution and friction coefficients and domain aspect ratio are held constant at values of 1000, 0.9, 0.25 and 4, respectively.

Tags: AMReX, Big Data, CFD-DEM, MFIX-Exa
IRA Energy Community Data Layers

Data, geospatial data resources, and the linked mapping tool and web services reflect data for two types of potentially qualifying energy communities:
  1)	Census tracts and directly adjoining tracts that have had coal mine closures since 1999 or coal-fired electric generating unit retirements since 2009.  These census tracts 
  qualify as energy communities.
  2)	Metropolitan statistical areas (MSAs) and non-metropolitan statistical areas (non-MSAs) that are energy communities for 2023 and 2024, along with their fossil fuel employment (FFE) status.

Additional information on energy communities and related tax credits can be accessed on the Interagency Working Group on Coal & Power Plant Communities & Economic Revitalization Energy Communities website (https://energycommunities.gov/energy-community-tax-credit-bonus/).

Use limitations: these spatial data and mapping tool may not be relied upon by taxpayers to substantiate a tax return position or for determining whether certain penalties apply and will not be used by the IRS for examination purposes. The mapping tool does not reflect the application of the law to a specific taxpayer’s situation, and the applicable Internal Revenue Code provisions ultimately control.

Tags: Census Tract, Closure, Coal Mine, Coal Power Generator, DOE, Employment, Energy Community, Fossil Fuel, IRA, IWG, Inflation Reduction Act, Interagency Working Group on Coal and Power Plant Communities and Economic Revitalization, MSA, Metropolitan Statistical Area, NETL, National Energy Technology Laboratory, Non-MSA, Non-Metropolitan Statistical Area, Tax Credit, U.S., U.S. Department of the Treasury, US Department of Energy, Unemployment
NEWTS State-Level Database Dashboard

The National Energy Water Treatment and Speciation (NEWTS) State-Level Database Dashboard enables quick visualization and exploration of energy-related wastewater data collected from state environmental agencies and research projects across the United States. The dashboard features a subset of the NEWTS Integrated Dataset (version 1.0), which was built to provide stakeholders with a unified and standardized database to support wastewater treatment and critical minerals exploration. The full NEWTS Integrated Dataset and citations for the original data resources can be found here: https://edx.netl.doe.gov/dataset/newts-integrated-dataset-version-1-0 

Tags: AMD, Ash Landfill Leachate, NEWTS, Produced water, Water Quality, abandoned mine drainage, dashboard, plant effluent, wastewater
NEWTS Integrated Dataset (version 1.0)

The National Energy Water Treatment and Speciation (NEWTS) Integrated Dataset v1.0 provides water researchers, community leaders, and regulators with a unified and standardized energy-related wastewater stream database. This resource is derived from 27 state and federal entities, and scientific publications, and contains more than 400,000 sample records, many of which also provide geospatial information. The dataset includes data for several different energy-related wastewater types including produced water, other oil and gas wastewaters, mine drainage, coal ash leachate, and power plant wastewater. The NEWTS Integrated Dataset was built to support environmentally prudent decision-making, explore treatment opportunities, and identify potential critical mineral sources. A subset of this novel resource is also featured on NETL NEWTS State-Level Database Dashboard. Additional data can be found in the NEWTS EDX Group and the NEWTS Federal Database Dashboard. 

Tags: AMD, Ash Landfill Leachate, Brackish water, FGD Effluent, Geochemists Workbench, NEWTS, OLI Systems, Produced water, USGS, Water Quality, abandoned mine drainage, plant effluent, wastewater
UW Enterprises LP Well Database

Data from the UW Enterpirses LP Well described in Hu, L.; Paronish, T.; Crandall, D.; Jarvis, K.; Mitchell, N.; Brown, S.; Workman, S; Douds, A., Mastalerz, M, Computed Tomography Scanning and Geophysical Measurements of the UW Enterprises Well in Southwestern Indiana; DOE.NETL-2024.XXXX; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2024; p 49. 

Tags: CT Scanning, Core Characterization, Critical Minerals, Devonian Black Shale, Indiana Geological and Water Survey, MSCL, Mudrock, REE, new albany shale
Consortium Advancing Technology for Assessment of Lost Oil & Gas Wells (CATALOG) Dashboard

This mapping application is intended to provide data and information gained from the Department of Energy’s (DOE) Consortium Advancing Technology for Assessment of Lost Oil & Gas Wells (CATALOG) Team efforts. This initial release is an early version and is subject to change, we implore users to provide feedback using the email below. Generally, orphaned wells are defined as an idle well for which the operator is unknown or insolvent.

Tags: CATALOG, Field Sites, Methane Emission, Oil and Gas Infrastructure, UAV, UOW, Undocumented Orphaned Well, Well
Enhanced Modeling of GHG Emissions and Mitigation in NEMS Component Design Report

The Office of Fossil Energy and Carbon Management (FECM), together with OnLocation, has developed a custom version of the National Energy Modeling System (NEMS), “FECM-NEMS”, that includes additional representation of energy- and industry-sector GHG emissions and mitigation options beyond those represented in the U.S. EIA's NEMS. Compared with GHG emissions published by the EPA in their Inventory of U.S. GHG Emissions and Sinks: 1990-2021, FECM-NEMS endogenously represents 81% of gross U.S. GHG emissions; however, the remaining 19%, as well as LULUCF-sector emissions and removals, are still required to properly model net-zero GHG scenarios, which requires an accounting of all GHGs. Considering recent technological advances to mitigate CO2 and non-CO2 emissions, the Office of Carbon Management (OCM) within FECM had tasked OnLocation with creating this component design report (CDR) to address the gap in GHG representation. This report describes how FECM-NEMS could incorporate missing GHG emissions (including LULUCF-sector emissions and removals) and engineered processes for GHG mitigation.

Tags: FECM, GHGs, LULUCF, National Energy Modeling System, OnLocation, non-CO2 GHGs
CO2-SCREEN

CO2 Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) is a tool which was developed by the Department of Energy’s National Energy Technology Laboratory (DOE-NETL) to screen saline formations for prospective CO2 storage resources. CO2-SCREEN applies U.S. DOE methods and equations for estimating prospective CO2 storage resources for saline formations. This provides a dependable method for calculating prospective CO2 storage resources which allows for consistent comparison of results between different research efforts. CO2-SCREEN latest version (v5.0) is a python application that utilizes a Java front end user interface. The 3.0 version consists of an Excel spreadsheet containing geologic inputs and outputs, linked to a GoldSim Player model that calculates prospective CO2 storage resources via Monte Carlo simulation.

https://www.youtube.com/watch?v=lhakk-HYfOI 

Tags: CO2 Storage Resource, Prospective Storage, Screening, Tool
Rittenhouse et al. 1960s Historical Archived Produced Water Dataset

Around 1960, a private company entered into a research agreement to analyze for dissolved solids in water produced from >800 fields in the U.S. and Canada..  The elemental compositions provided were measured spectrochemically by Rittenhouse et al.  The information has been made available to the public as a public service, but the names off of the companies and exact well locations have been removed. The samples are now located at the University of Texas in Austin. More details can be found in the following reference: Gordon Rittenhouse, Robert B. Fulton, Robert J. Grabowski, Joseph L. Bernard, Minor elements in oil-field waters, Chemical Geology, Volume 4, Issues 1–2, 1969, Pages 189-209, ISSN 0009-2541, https://doi.org/10.1016/0009-2541(69)90045-X.

Tags: Geochemists Workbench, INORGANIC GEOCHEMISTRY, NEWTS, OLI Systems, Produced water
Integrated Monitoring Volume: A Summary of Monitoring Studies Conducted in Niagaran Carbonate Pinnacle Reefs During Enhanced Oil Recovery with CO2

This introductory report to the Integrated Monitoring Volume provides an executive summary style overview of each of the monitoring methods deployed during the MRCSP Phase III Program. Each method is discussed in detail in a separate report that together with this Executive Summary comprise the Integrated Monitoring Volume.

Tags: BHG, DAS, Monitoring, PNC, VSP, borehole gravity, distributed acoustic sending, enhanced oil recovery, pulsed neutron capture, vertical seismic profile
Chromium Poisoning ERMINE Model Data

This is the data from the paper "Systematic and Predictive Trends to Chromium Poisoning in Solid Oxide Fuel Cell Cathodes" by Hokon Kim et al., appearing in the Journal of Power Sources. The files here are the microstructures, mesh files, and outputs from the ERMINE finite element model of chromium poisoning in SOFC cathodes. Further description can be found in Readme.rtf and in the paper..

Tags: Chromium, SOFC
Mt. Simon Sandstone - High Resolution CT

High resolution micro-computed tomography images of sandstone from the Mt. Simon formation at different depths. These images provide an insight into the pore structure of the Mt. Simon sandstone (e.g. for potential CO2 storage). This data set can be used to further study the formation as a whole..

Tags: CCS, CO2 Sequestration, Carbon Sequestration, Computed Tomography, Micro-CT, Mt. Simon, Sandstone, digital petrography, high resolution, reservoir charact
Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC)

The Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) is a team of researchers, data specialists and computer system developers who are supporting the development of a data management system to store scientific data generated by Gulf of Mexico researchers. The Master Research Agreement between BP and the Gulf of Mexico Alliance that established the Gulf of Mexico Research Initiative (GoMRI) included provisions that all data collected or generated through the agreement must be made available to the public. The Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) is the vehicle through which GoMRI is fulfilling this requirement.

Tags: Biology, Chemistry, Data Management System, GRIIDC, Gulf of Mexico, Marine, Physical Ocenaography, Political Science, Public Health, Sociology
Google Dataset Search

Dataset Search enables users to find datasets stored across the Web through a simple keyword search. The tool surfaces information about datasets hosted in thousands of repositories across the Web, making these datasets universally accessible and useful.

We believe that this project will have the additional benefits of a) creating a data sharing ecosystem that will encourage data publishers to follow best practices for data storage and publication and b) giving scientists a way to show the impact of their work through citation of datasets that they have produced.

As more dataset repositories use schema.org and similar standards to describe their datasets, the variety and coverage of datasets that users find in Dataset Search, will continue to grow.

Tags: Dataset, Google, Search
Datasets for SCEP CSITE Eligibility Map

These resources provide access to data and information to support and illustrate communities eligible for the Communities Sparking Investments in Transformative Energy (C-SITE) funding opportunity announcement (FOA). Eligible applicants include federally recognized Indian Tribes, disadvantaged communities, energy communities, and small- and medium-sized jurisdictions.  

If your community is not adequately reflected in this map, please state why you are eligible for C-SITE funding in your application. Visit the Local Government Energy Program website to learn more...

Tags: 2024, C-SITE, Communities, Communities Sparking Investments in Transformative Energy, DOE, Department of Energy, Energy, SCEP, US Department of Energy
SOFC Ionic vs Electronic Infiltration Data

This dataset contains the microstructural data and mesh files used for the ERMINE electrochemical model, and the CSV output data of that model, that were used to study the impact of electronic vs ionic conductive infiltrates on solid oxide fuel cell performance, as presented in the manuscript "Advantages of ionic conductors over electronic conductors as infiltrates in solid oxide fuel cell cathodes." by Hokon Kim et al. (Int. J. Hydrog. Energy vol. 9, pp. 764-776 (2024). DOI: 10.1016/j.ijhydene.2024.02.029

The file readme.rtf contains details about the naming conventions for the files.

Tags: Infiltration, MOOSE, SOFC
NY Central System 1 Well - Ohio

CT Data that compliments the Technical Report Series document: Pohl, M.; Paronish, T.; Mitchell, N.; Jarvis, K.; Sharma, M.; Moore, J.; Crandall, D.; Danielsen, E. M.; McDonald, J. Computed Tomography Scanning and Petrophysical Measurements of Oriskany Core Across Eastern Ohio, U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2024

Tags: CT, Computed Tomography, Ohio, Oriskany, Sandstone
Garvin-King Well - Ohio

CT Data that compliments the Technical Report Series Document: Pohl, M.; Paronish, T.; Mitchell, N.; Jarvis, K.; Sharma, M.; Moore, J.; Crandall, D.; Danielsen, E. M.; McDonald, J. Computed Tomography Scanning and Petrophysical Measurements of Oriskany Cores Across Eastern Ohio, US Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2024

Tags: CT, Computed Tomography, Garvin-King Well, Ohio, oriskany
Prospective Seal Name Catalog for U.S. Sedimentary Basins V1.0

The Prospective Seal Name Catalog for U.S. Sedimentary Basins V1.0 is an aggregation of prospective seal units for prospective storage resources within the USA for geologic carbon storage in both onshore and offshore basins. The catalog is intended to guide users to available literature and data resources.  Prospective seal names are displayed with respect to the associated prospective storage resource target, for which the specified prospective seal may act as a confining layer for CO2 storage. A prospective seal unit’s lithology, position with respect to the reservoir (Primary, Secondary, Intraformational, etc.), and age (Geologic Period) are included when stated in the original literature or data resource. The information source for each record in the catalog includes the published citation, year of publication, resource type (Journal Article, Event Proceedings, etc.) and additional record notes.

Tags: Basin, CO2 Sequestration, CO2 storage, CO2-Caprock Interaction, Caprock, Carbon Management, Carbon Storage, Carbon dioxide storage, Confining system, Data Catalog, EDX4CCS, GCS, Lithology, Onshore, Prospective Caprock, Prospective Seal, Saline Storage, Seal, Sedimentary Basin, Storage Complex, United States, geologic carbon storage, offshore, sequestration
State Charlton 4-30 Core Description

CT and core scanning data associated with Technical Report Series report Vornlocher, J.; Betters, C.; Paronish. T.; Crandall, D.; Moore, J,; Schmitt, R.; Harrison, III, W.B. Computed Tomography Scanning and Geophysical Measurements of Core from the State Charlton #4-30 Well; NETL-TRS-8-2019; NETL Technical Report Series; US Department of Energy, National Energy Technology Laboratory; Morgantown, WV, 2019; p 64.

Tags: Carbon Storage, Computed Tomography, Core Scanning
Scoping Review of Global Offshore Geologic Carbon Storage Activities

This technical report documents an inventory of offshore geologic carbon storage (GCS) sites globally, with a focus on existing, operating international sites and those characterized in the United States, indicating the type and variety of GCS efforts. Regional overviews provide a high level understanding of basin-scale geology and history of GCS globally. Key aspects documented in this review include geological formation types, depth, play style, project size, timeline, existing infrastructure, environmental challenges, and potential risks. This review also includes a summary of the regulatory frameworks globally, as well as environmental, social, and commercial considerations.

Tags: CCUS, Carbon storage, Regulations, co2, geologic carbon storage, infrastructure, offshore, regulations
Thermal & Electrochemical Power Plant Design and Cost Estimation

Public textbook for "Thermal & Electrochemical Power Plant Design and Cost Estimation: Version#1"

This public textbook is an extension of class notes from Carnegie Mellon University courses: Energy System Modeling (24-722) and Fuel Cell Systems (24-262), taught by Dr. Nicholas Siefert between 2010-2021. Textbook includes some references to class notes from Dr. Shawn Litster, Department of Mechanical Engineering, Carnegie Mellon University. Textbook covers the equilibrium and nonequilibrium thermodynamics of power systems as well as an overview of system and economic modeling of these systems. There is in-depth coverage of (a) entropy generation, (b) exergy and (c) the redox state of molecules in equilibrium with the natural environment. This textbook is integrated with other materials (such as lecture slides, solved homeworks, and solved exams) that will be posted to the PowerShare: Energy Systems Modeling group on EDX..

Publication Number: DOE/NETL-2023/3913


Tags: Fuel Cell, Power Plants, Techno-Economic Analysis, Thermodynamic Modeling, exergy
Extreme waves in present and future climates using physics-based synthetic tropical cyclones in the Gulf of Mexico.

Historically, extreme waves have been the most destructive force in the Gulf of Mexico, destroying and damaging thousands of offshore structures. The American Petroleum Institute has revised its design criteria for offshore platforms several times over the decades, as new data continues to become available, showing that data for our present climate is insufficient. This problem is exacerbated in a changing climate. By using synthetic physics-based tropical cyclones to force a third-generation wave model, we can generate adequate statistics for present and future climates. These simulations have been completed using Joule Supercomputer.

Tags: Climate Change, Gulf Of Mexico, extreme waves, physics-based synthetic tropical cyclones, tropical cyclones, wave modeling