The Distributed Geothermal Market Demand Model (dGeo): Documentation

Kevin McCabe, Meghan Mooney, Benjamin Sigrin, Xiaobing Liu, Michael Gleason

Research output: NRELTechnical Report

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 opportunity for GHP and DU in the United States. This report documents the dGeo modeling design, methodology, assumptions, and capabilities.
Original languageAmerican English
Number of pages71
DOIs
StatePublished - 2017

NREL Publication Number

  • NREL/TP-6A20-67388

Keywords

  • bass diffusion
  • direct use
  • distributed energy resources
  • economic potential
  • geothermal
  • ground source heat pumps
  • market potential
  • technical potential

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