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Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications

Metadata Updated: July 25, 2023

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, where the "x" refers to the version number. For example, 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 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 The geocluster_installation.pdf file provides instructions on installing Python, the needed Python modules, and then executing the app.

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons Attribution

Downloads & Resources


Metadata Created Date May 1, 2023
Metadata Updated Date July 25, 2023

Metadata Source

Harvested from OpenEI data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date May 1, 2023
Metadata Updated Date July 25, 2023
Publisher Pacific Northwest National Laboratory
Doi 10.15121/1972213
Data First Published 2023-02-03T07:00:00Z
Data Last Modified 2023-05-04T15:37:42Z
Public Access Level public
Bureau Code 019:20
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Data Quality True
Harvest Object Id 6a11fd79-9c47-448b-ac33-d45a4bb51d19
Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
Harvest Source Title OpenEI data.json
Homepage URL
Old Spatial {"type":"Polygon","coordinates":-167.7267,13.518,-53.8316,13.518,-53.8316,75.0714,-167.7267,75.0714,-167.7267,13.518}
Program Code 019:006
Projectlead Zachary Frone
Projectnumber 37432
Projecttitle Closed Loop Geothermal Working Group
Source Datajson Identifier True
Source Hash e7af22431cb83ed7a730cdc302cadfb672e71693
Source Schema Version 1.1
Spatial {"type":"Polygon","coordinates":-167.7267,13.518,-53.8316,13.518,-53.8316,75.0714,-167.7267,75.0714,-167.7267,13.518}

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