Deep Direct-Use Feasibility Study Energy Demand Characterization and Surface Plant Modeling for West Virginia University

Garapati, Nagasree

doi:10.15121/1597111

Title: Deep Direct-Use Feasibility Study Energy Demand Characterization and Surface Plant Modeling for West Virginia University

Dataset
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Abstract

This dataset provides information gathered to determine end use load and assessment of existing district heating systems (DHS). It also provides Aspen simulation files used to model hybrid natural gas geothermal district heating and cooling (GDHC) system along with Exchange Design and Rating (EDR) files to design Plate Heat Exchanger (PHE) and Capital cost estimator project set up used for capital cost evaluation of surface plant and retrofit distribution lines. In addition, ChemCAD files used for preliminary analysis of conversion of steam-based to hot water based system are included. A combination of proprietary and free software may be required to view some of the information provided. Software used for surface modeling, capital cost analysis include ASPEN Suite (HYSYS, EDR, ACCE). For ACCE template files, you will have to change the directories of the files to match your computer.

Authors:

Garapati, Nagasree

West Virginia University

Publication Date:: Thu Jan 09 04:00:00 UTC 2020

Other Number(s):: 1198

DOE Contract Number:: EE0008105

Research Org.:: DOE Geothermal Data Repository; West Virginia University

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)

Collaborations:: West Virginia University

Subject:: 15 GEOTHERMAL ENERGY; ACCE; ASPEN; Appalachian Basin; Capital Cost; ChemCAD; DDU; DHS; EDR; EGS; Exchange Design and Rating; GDHC; HYSYS; Hybrid Geothermal natural gas system; Modeling; PHE; Plate Heat Exchanger; WVU; West Virginia University; characterization; deep direct-use; demand; district heating; district heating and cooling; end use; energy; energy demand; energy demand characterization; feasibility; feasibility study; geothermal; hybrid geothermal natural gas; load; natural gas; natural gas demand; surface plant; surface plant modeling

OSTI Identifier:: 1597111

DOI:: https://doi.org/10.15121/1597111

Citation Formats


                    Garapati, Nagasree. Deep Direct-Use Feasibility Study Energy Demand Characterization and Surface Plant Modeling for West Virginia University.  United States: N. p., 2020. 
        Web.  doi:10.15121/1597111.

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                    Garapati, Nagasree. Deep Direct-Use Feasibility Study Energy Demand Characterization and Surface Plant Modeling for West Virginia University.  United States.  doi:https://doi.org/10.15121/1597111

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                    Garapati, Nagasree. 2020.  
"Deep Direct-Use Feasibility Study Energy Demand Characterization and Surface Plant Modeling for West Virginia University".  United States.  doi:https://doi.org/10.15121/1597111.  https://www.osti.gov/servlets/purl/1597111. Pub date:Thu Jan 09 04:00:00 UTC 2020

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@article{osti_1597111,

  title        = {Deep Direct-Use Feasibility Study Energy Demand Characterization and Surface Plant Modeling for West Virginia University},

  author       = {Garapati, Nagasree},

  abstractNote = {This dataset provides information gathered to determine end use load and assessment of existing district heating systems (DHS). It also provides Aspen simulation files used to model hybrid natural gas geothermal district heating and cooling (GDHC) system along with Exchange Design and Rating (EDR) files to design Plate Heat Exchanger (PHE) and Capital cost estimator project set up used for capital cost evaluation of surface plant and retrofit distribution lines. In addition, ChemCAD files used for preliminary analysis of conversion of steam-based to hot water based system are included. A combination of proprietary and free software may be required to view some of the information provided. Software used for surface modeling, capital cost analysis include ASPEN Suite (HYSYS, EDR, ACCE). For ACCE template files, you will have to change the directories of the files to match your computer.},

  doi          = {10.15121/1597111},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Jan 09 04:00:00 UTC 2020},

  month        = {Thu Jan 09 04:00:00 UTC 2020}

}

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DOI: https://doi.org/10.15121/1597111

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