Deep Direct-Use Feasibility Study Energy Demand Characterization and Surface Plant Modeling for West Virginia University
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:
- Publication Date:
- Other Number(s):
- 1198
- DOE Contract Number:
- EE0008105
- Research Org.:
- USDOE Geothermal Data Repository (United States); West Virginia Univ., Morgantown, WV (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
- Collaborations:
- West Virginia University
- Subject:
- 15 Geothermal Energy
- Keywords:
- geothermal; energy; Appalachian Basin; West Virginia University; Hybrid Geothermal natural gas system; deep direct-use; ASPEN; ChemCAD; HYSYS; ACCE; EGS; energy demand; energy demand characterization; surface plant modeling; WVU; DDU; hybrid geothermal natural gas; GDHC; Exchange Design and Rating; EDR; Plate Heat Exchanger; PHE; Capital Cost; Modeling; feasibility study; natural gas demand; demand; feasibility; natural gas; district heating; DHS; characterization; surface plant; end use; load; district heating and cooling
- Geolocation:
- 40.207621075118,-78.781551171875|39.257993934755,-78.781551171875|39.257993934755,-81.099565234375|40.207621075118,-81.099565234375|40.207621075118,-78.781551171875
- OSTI Identifier:
- 1597111
- DOI:
- https://doi.org/10.15121/1597111
- Project Location:
-
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.
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
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 00:00:00 EST 2020
@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 = {2020},
month = {1}
}