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Title: The Distributed Geothermal Market Demand Model (dGeo): Documentation

Abstract

The National Renewable Energy Laboratory (NREL) developed the Distributed Geothermal Market Demand Model (dGeo) as a tool to explore the potential role of geothermal distributed energy resources (DERs) in meeting thermal energy demands in the United States. The dGeo model simulates the potential for deployment of geothermal DERs in the residential and commercial sectors of the continental United States for two specific technologies: ground-source heat pumps (GHP) and geothermal direct use (DU) for district heating. To quantify the opportunity space for these technologies, dGeo leverages a highly resolved geospatial database and robust bottom-up, agent-based modeling framework. This design is consistent with others in the family of Distributed Generation Market Demand models (dGen; Sigrin et al. 2016), including the Distributed Solar Market Demand (dSolar) and Distributed Wind Market Demand (dWind) models. dGeo is intended to serve as a long-term scenario-modeling tool. It has the capability to simulate the technical potential, economic potential, market potential, and technology deployment of GHP and DU through the year 2050 under a variety of user-defined input scenarios. Through these capabilities, dGeo can provide substantial analytical value to various stakeholders interested in exploring the effects of various techno-economic, macroeconomic, financial, and policy factors related to the opportunitymore » for GHP and DU in the United States. This report documents the dGeo modeling design, methodology, assumptions, and capabilities.« less

Authors:
 [1];  [1];  [1];  [1];  [2]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Office (EE-4G)
OSTI Identifier:
1408285
Report Number(s):
NREL/TP-6A20-67388
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
15 GEOTHERMAL ENERGY; geothermal; ground source heat pumps; direct use; distributed energy resources; technical potential; economic potential; market potential; bass diffusion

Citation Formats

McCabe, Kevin, Mooney, Meghan E, Sigrin, Benjamin O, Gleason, Michael, and Liu, Xiaobing. The Distributed Geothermal Market Demand Model (dGeo): Documentation. United States: N. p., 2017. Web. doi:10.2172/1408285.
McCabe, Kevin, Mooney, Meghan E, Sigrin, Benjamin O, Gleason, Michael, & Liu, Xiaobing. The Distributed Geothermal Market Demand Model (dGeo): Documentation. United States. doi:10.2172/1408285.
McCabe, Kevin, Mooney, Meghan E, Sigrin, Benjamin O, Gleason, Michael, and Liu, Xiaobing. Mon . "The Distributed Geothermal Market Demand Model (dGeo): Documentation". United States. doi:10.2172/1408285. https://www.osti.gov/servlets/purl/1408285.
@article{osti_1408285,
title = {The Distributed Geothermal Market Demand Model (dGeo): Documentation},
author = {McCabe, Kevin and Mooney, Meghan E and Sigrin, Benjamin O and Gleason, Michael and Liu, Xiaobing},
abstractNote = {The National Renewable Energy Laboratory (NREL) developed the Distributed Geothermal Market Demand Model (dGeo) as a tool to explore the potential role of geothermal distributed energy resources (DERs) in meeting thermal energy demands in the United States. The dGeo model simulates the potential for deployment of geothermal DERs in the residential and commercial sectors of the continental United States for two specific technologies: ground-source heat pumps (GHP) and geothermal direct use (DU) for district heating. To quantify the opportunity space for these technologies, dGeo leverages a highly resolved geospatial database and robust bottom-up, agent-based modeling framework. This design is consistent with others in the family of Distributed Generation Market Demand models (dGen; Sigrin et al. 2016), including the Distributed Solar Market Demand (dSolar) and Distributed Wind Market Demand (dWind) models. dGeo is intended to serve as a long-term scenario-modeling tool. It has the capability to simulate the technical potential, economic potential, market potential, and technology deployment of GHP and DU through the year 2050 under a variety of user-defined input scenarios. Through these capabilities, dGeo can provide substantial analytical value to various stakeholders interested in exploring the effects of various techno-economic, macroeconomic, financial, and policy factors related to the opportunity for GHP and DU in the United States. This report documents the dGeo modeling design, methodology, assumptions, and capabilities.},
doi = {10.2172/1408285},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {11}
}

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