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Title: GEOPHIRES v2.0: updated geothermal techno-economic simulation tool

Abstract

This paper presents a new version (v2.0) of the geothermal techno-economic simulation tool GEOPHIRES [GEOthermal energy for Production of Heat and electricity ("IR") Economically Simulated]. GEOPHIRES combines reservoir, wellbore, and surface plant technical models with cost correlations and levelized cost models to estimate the capital and operation and maintenance costs, instantaneous and lifetime energy production, and overall levelized cost of energy of a geothermal plant. In addition to electricity generation, direct-use heat applications and combined heat and power or cogeneration can be modeled. Various upgrades have been implemented to develop GEOPHIRES v2.0, including: updating the built-in cost correlations, coupling to the external reservoir simulator TOUGH2, enhancing the built-in wellbore simulator, converting the programming language to Python, and making the code open-source. Users are encouraged to build upon the tool, e.g., by implementing their own correlations or coupling to other simulators. In this paper, we discuss the GEOPHIRES v2.0 objectives and history, and we present the software architecture as well as built-in models and correlations. As a result, we include two example simulations and quick-start guide on how to run a simulation.

Authors:
ORCiD logo [1];  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1496845
Report Number(s):
NREL/JA-5500-71494
Journal ID: ISSN 2195-9706
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Geothermal Energy
Additional Journal Information:
Journal Volume: 7; Journal Issue: 1; Journal ID: ISSN 2195-9706
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
15 GEOTHERMAL ENERGY; 29 ENERGY PLANNING, POLICY, AND ECONOMY; GEOPHIRES; techno-economic modeling; deep geothermal energy; electricity; direct-use

Citation Formats

Beckers, Koenraad F., and McCabe, Kevin. GEOPHIRES v2.0: updated geothermal techno-economic simulation tool. United States: N. p., 2019. Web. doi:10.1186/s40517-019-0119-6.
Beckers, Koenraad F., & McCabe, Kevin. GEOPHIRES v2.0: updated geothermal techno-economic simulation tool. United States. doi:10.1186/s40517-019-0119-6.
Beckers, Koenraad F., and McCabe, Kevin. Wed . "GEOPHIRES v2.0: updated geothermal techno-economic simulation tool". United States. doi:10.1186/s40517-019-0119-6. https://www.osti.gov/servlets/purl/1496845.
@article{osti_1496845,
title = {GEOPHIRES v2.0: updated geothermal techno-economic simulation tool},
author = {Beckers, Koenraad F. and McCabe, Kevin},
abstractNote = {This paper presents a new version (v2.0) of the geothermal techno-economic simulation tool GEOPHIRES [GEOthermal energy for Production of Heat and electricity ("IR") Economically Simulated]. GEOPHIRES combines reservoir, wellbore, and surface plant technical models with cost correlations and levelized cost models to estimate the capital and operation and maintenance costs, instantaneous and lifetime energy production, and overall levelized cost of energy of a geothermal plant. In addition to electricity generation, direct-use heat applications and combined heat and power or cogeneration can be modeled. Various upgrades have been implemented to develop GEOPHIRES v2.0, including: updating the built-in cost correlations, coupling to the external reservoir simulator TOUGH2, enhancing the built-in wellbore simulator, converting the programming language to Python, and making the code open-source. Users are encouraged to build upon the tool, e.g., by implementing their own correlations or coupling to other simulators. In this paper, we discuss the GEOPHIRES v2.0 objectives and history, and we present the software architecture as well as built-in models and correlations. As a result, we include two example simulations and quick-start guide on how to run a simulation.},
doi = {10.1186/s40517-019-0119-6},
journal = {Geothermal Energy},
number = 1,
volume = 7,
place = {United States},
year = {2019},
month = {2}
}

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Works referenced in this record:

TOUGH2 User's Guide Version 2
report, November 1999

  • Pruess, K.; Oldenburg, C.M.; Moridis, G.J.
  • LBNL--43134
  • DOI: 10.2172/751729