Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications
To better understand the heat production, electricity generation performance, and economic viability of closed-loop geothermal systems in hot-dry rock, the Closed-Loop Geothermal Working Group -- a consortium of several national labs and academic institutions has tabulated time-dependent numerical solutions and levelized cost results of two popular closed-loop heat exchanger designs (u-tube and co-axial). The heat exchanger designs were evaluated for two working fluids (water and supercritical CO2) while varying seven continuous independent parameters of interest (mass flow rate, vertical depth, horizontal extent, borehole diameter, formation gradient, formation conductivity, and injection temperature). The corresponding numerical solutions (approximately 1.2 million per heat exchanger design) are stored as multi-dimensional HDF5 datasets and can be queried at off-grid points using multi-dimensional linear interpolation. A Python script was developed to query this database and estimate time-dependent electricity generation using an organic Rankine cycle (for water) or direct turbine expansion cycle (for CO2) and perform a cost assessment. This document aims to give an overview of the HDF5 database file and highlights how to read, visualize, and query quantities of interest (e.g., levelized cost of electricity, levelized cost of heat) using the accompanying Python scripts. Details regarding the capital, operation, and maintenance and levelized cost calculation using the techno-economic analysis script are provided.
This data submission will contain results from the Closed Loop Geothermal Working Group study that are within the public domain, including publications, simulation results, databases, and computer codes.
GeoCLUSTER is a Python-based web application created using Dash, an open-source framework built on top of Flask that streamlines the building of data dashboards. GeoCLUSTER provides users with a collection of interactive methods for streamlining the exploration and visualization of an HDF5 dataset. The GeoCluster app and database are contained in the compressed file geocluster_vx.zip, where the "x" refers to the version number. For example, geocluster_v1.zip is Version 1 of the app. This zip file also contains installation instructions.
**To use the GeoCLUSTER app in the cloud, click the link to "GeoCLUSTER on AWS" in the Resources section below. To use the GeoCLUSTER app locally, download the geocluster_vx.zip to your computer and uncompress this file. When uncompressed this file comprises two directories and the geocluster_installation.pdf file. The geo-data app contains the HDF5 database in condensed format, and the GeoCLUSTER directory contains the GeoCLUSTER app in the subdirectory dash_app, as app.py. The geocluster_installation.pdf file provides instructions on installing Python, the needed Python modules, and then executing the app.
Citation Formats
TY - DATA
AB - To better understand the heat production, electricity generation performance, and economic viability of closed-loop geothermal systems in hot-dry rock, the Closed-Loop Geothermal Working Group -- a consortium of several national labs and academic institutions has tabulated time-dependent numerical solutions and levelized cost results of two popular closed-loop heat exchanger designs (u-tube and co-axial). The heat exchanger designs were evaluated for two working fluids (water and supercritical CO2) while varying seven continuous independent parameters of interest (mass flow rate, vertical depth, horizontal extent, borehole diameter, formation gradient, formation conductivity, and injection temperature). The corresponding numerical solutions (approximately 1.2 million per heat exchanger design) are stored as multi-dimensional HDF5 datasets and can be queried at off-grid points using multi-dimensional linear interpolation. A Python script was developed to query this database and estimate time-dependent electricity generation using an organic Rankine cycle (for water) or direct turbine expansion cycle (for CO2) and perform a cost assessment. This document aims to give an overview of the HDF5 database file and highlights how to read, visualize, and query quantities of interest (e.g., levelized cost of electricity, levelized cost of heat) using the accompanying Python scripts. Details regarding the capital, operation, and maintenance and levelized cost calculation using the techno-economic analysis script are provided.
This data submission will contain results from the Closed Loop Geothermal Working Group study that are within the public domain, including publications, simulation results, databases, and computer codes.
GeoCLUSTER is a Python-based web application created using Dash, an open-source framework built on top of Flask that streamlines the building of data dashboards. GeoCLUSTER provides users with a collection of interactive methods for streamlining the exploration and visualization of an HDF5 dataset. The GeoCluster app and database are contained in the compressed file geocluster_vx.zip, where the "x" refers to the version number. For example, geocluster_v1.zip is Version 1 of the app. This zip file also contains installation instructions.
**To use the GeoCLUSTER app in the cloud, click the link to "GeoCLUSTER on AWS" in the Resources section below. To use the GeoCLUSTER app locally, download the geocluster_vx.zip to your computer and uncompress this file. When uncompressed this file comprises two directories and the geocluster_installation.pdf file. The geo-data app contains the HDF5 database in condensed format, and the GeoCLUSTER directory contains the GeoCLUSTER app in the subdirectory dash_app, as app.py. The geocluster_installation.pdf file provides instructions on installing Python, the needed Python modules, and then executing the app.
AU - Beckers, Koenraad
A2 - Horne, Roland
A3 - Augustine, Chad
A4 - Pauley, Laura
A5 - Hollett, Doug
A6 - Adams, Andy
A7 - Blankenship, Doug
A8 - Frone, Zach
A9 - Porse, Sean
A10 - Baek, Seunghwan
A11 - Balestra, Paolo
A12 - Bernat, Anastasia
A13 - Bettin, Giorgia
A14 - Bran-Anleu, Gabriela
A15 - Kucala, Alec
A16 - Kyanjo, Brian
A17 - Marshall, Theron
A18 - Martinez, Mario
A19 - McLing, Travis
A20 - Parisi, Carlo
A21 - Subia, Sam
A22 - Vasyliv, Yaroslav
A23 - White, Mark
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1972213
KW - geothermal
KW - energy
KW - closed loop
KW - Closed Loop Geothermal Working Group
KW - GeoCLUSTER
KW - u-shape configuration
KW - coaxial configuration
KW - water working fluid
KW - sCO2 working fluid
KW - LCOH
KW - LCOE
KW - applicaiton
KW - hdf5
KW - database
KW - installation
KW - CLGWG
KW - hot-dry rock
KW - hdr
KW - code
KW - python
KW - DASH
KW - subsurface
KW - simulation
KW - modeling
KW - economic
KW - coaxial
KW - u-shaped
KW - configuration
LA - English
DA - 2023/02/03
PY - 2023
PB - Pacific Northwest National Laboratory
T1 - Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications
UR - https://doi.org/10.15121/1972213
ER -
Beckers, Koenraad, et al. Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications. Pacific Northwest National Laboratory, 3 February, 2023, Geothermal Data Repository. https://doi.org/10.15121/1972213.
Beckers, K., Horne, R., Augustine, C., Pauley, L., Hollett, D., Adams, A., Blankenship, D., Frone, Z., Porse, S., Baek, S., Balestra, P., Bernat, A., Bettin, G., Bran-Anleu, G., Kucala, A., Kyanjo, B., Marshall, T., Martinez, M., McLing, T., Parisi, C., Subia, S., Vasyliv, Y., & White, M. (2023). Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications. [Data set]. Geothermal Data Repository. Pacific Northwest National Laboratory. https://doi.org/10.15121/1972213
Beckers, Koenraad, Roland Horne, Chad Augustine, Laura Pauley, Doug Hollett, Andy Adams, Doug Blankenship, Zach Frone, Sean Porse, Seunghwan Baek, Paolo Balestra, Anastasia Bernat, Giorgia Bettin, Gabriela Bran-Anleu, Alec Kucala, Brian Kyanjo, Theron Marshall, Mario Martinez, Travis McLing, Carlo Parisi, Sam Subia, Yaroslav Vasyliv, and Mark White. Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications. Pacific Northwest National Laboratory, February, 3, 2023. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1972213
@misc{GDR_Dataset_1473,
title = {Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications},
author = {Beckers, Koenraad and Horne, Roland and Augustine, Chad and Pauley, Laura and Hollett, Doug and Adams, Andy and Blankenship, Doug and Frone, Zach and Porse, Sean and Baek, Seunghwan and Balestra, Paolo and Bernat, Anastasia and Bettin, Giorgia and Bran-Anleu, Gabriela and Kucala, Alec and Kyanjo, Brian and Marshall, Theron and Martinez, Mario and McLing, Travis and Parisi, Carlo and Subia, Sam and Vasyliv, Yaroslav and White, Mark},
abstractNote = {To better understand the heat production, electricity generation performance, and economic viability of closed-loop geothermal systems in hot-dry rock, the Closed-Loop Geothermal Working Group -- a consortium of several national labs and academic institutions has tabulated time-dependent numerical solutions and levelized cost results of two popular closed-loop heat exchanger designs (u-tube and co-axial). The heat exchanger designs were evaluated for two working fluids (water and supercritical CO2) while varying seven continuous independent parameters of interest (mass flow rate, vertical depth, horizontal extent, borehole diameter, formation gradient, formation conductivity, and injection temperature). The corresponding numerical solutions (approximately 1.2 million per heat exchanger design) are stored as multi-dimensional HDF5 datasets and can be queried at off-grid points using multi-dimensional linear interpolation. A Python script was developed to query this database and estimate time-dependent electricity generation using an organic Rankine cycle (for water) or direct turbine expansion cycle (for CO2) and perform a cost assessment. This document aims to give an overview of the HDF5 database file and highlights how to read, visualize, and query quantities of interest (e.g., levelized cost of electricity, levelized cost of heat) using the accompanying Python scripts. Details regarding the capital, operation, and maintenance and levelized cost calculation using the techno-economic analysis script are provided.
This data submission will contain results from the Closed Loop Geothermal Working Group study that are within the public domain, including publications, simulation results, databases, and computer codes.
GeoCLUSTER is a Python-based web application created using Dash, an open-source framework built on top of Flask that streamlines the building of data dashboards. GeoCLUSTER provides users with a collection of interactive methods for streamlining the exploration and visualization of an HDF5 dataset. The GeoCluster app and database are contained in the compressed file geocluster_vx.zip, where the "x" refers to the version number. For example, geocluster_v1.zip is Version 1 of the app. This zip file also contains installation instructions.
**To use the GeoCLUSTER app in the cloud, click the link to "GeoCLUSTER on AWS" in the Resources section below. To use the GeoCLUSTER app locally, download the geocluster_vx.zip to your computer and uncompress this file. When uncompressed this file comprises two directories and the geocluster_installation.pdf file. The geo-data app contains the HDF5 database in condensed format, and the GeoCLUSTER directory contains the GeoCLUSTER app in the subdirectory dash_app, as app.py. The geocluster_installation.pdf file provides instructions on installing Python, the needed Python modules, and then executing the app.},
url = {https://gdr.openei.org/submissions/1473},
year = {2023},
howpublished = {Geothermal Data Repository, Pacific Northwest National Laboratory, https://doi.org/10.15121/1972213},
note = {Accessed: 2025-04-23},
doi = {10.15121/1972213}
}
https://dx.doi.org/10.15121/1972213
Details
Data from Feb 3, 2023
Last updated May 4, 2023
Submitted Feb 3, 2023
Organization
Pacific Northwest National Laboratory
Contact
Mark White
509.372.6070
Authors
Keywords
geothermal, energy, closed loop, Closed Loop Geothermal Working Group, GeoCLUSTER, u-shape configuration, coaxial configuration, water working fluid, sCO2 working fluid, LCOH, LCOE, applicaiton, hdf5, database, installation, CLGWG, hot-dry rock, hdr, code, python, DASH, subsurface, simulation, modeling, economic, coaxial, u-shaped, configurationDOE Project Details
Project Name Closed Loop Geothermal Working Group
Project Lead Zachary Frone
Project Number 37432