Cooling System Cost & Performance Models for Economic sCO2 Plant Optimization with Respect to Cold sCO2 Temperature (Presentation)
Abstract
Due to the nearambient CO2 critical temperature of 31 °C, cooling system performance significantly affects supercritical CO2 (sCO2) power cycle efficiency. Cooling systems tailored to sCO2 cycle operation are thus necessary to realize the efficiency benefits that are possible through reductions in the cold cycle temperature, which reduces cycle compression power requirements. In this presentation, cost and performance spreadsheet models for 4 different types of sCO2 cooling systems are detailed, covering heat and mass transfer modeling, cost scaling algorithms and model validation. The cooling system models can be used by cycle designers to optimize the cooling system operating parameters and cold sCO2 temperature to minimize the overall cost of electricity (COE) for a given plant location. Preliminary economic optimization using these models shows that cooling system optimization improves indirect sCO2 plant efficiency by 34 percentage points, and can reduce COE by up to 8%.
 Authors:

 KeyLogic
 NETL
 Publication Date:
 Research Org.:
 NETL
 Sponsoring Org.:
 FE
 OSTI Identifier:
 1569640
 Report Number(s):
 NETLPUB22260
 DOE Contract Number:
 DEFE0004001
 Resource Type:
 Conference
 Resource Relation:
 Conference: 3rd European Supercritical CO2 Conference Paris, France 9/19/2019  9/20/2019
 Country of Publication:
 United States
 Language:
 English
 Subject:
 Supercritical CO2 (sCO2), cooling systems, dry cooling, wet cooling, technoeconomic analysis, economic optimization
Citation Formats
Pidaparti, Sandeep, White, Charles W., O'Connell, Andrew C., and Weiland, Nathan. Cooling System Cost & Performance Models for Economic sCO2 Plant Optimization with Respect to Cold sCO2 Temperature (Presentation). United States: N. p., 2019.
Web.
Pidaparti, Sandeep, White, Charles W., O'Connell, Andrew C., & Weiland, Nathan. Cooling System Cost & Performance Models for Economic sCO2 Plant Optimization with Respect to Cold sCO2 Temperature (Presentation). United States.
Pidaparti, Sandeep, White, Charles W., O'Connell, Andrew C., and Weiland, Nathan. Fri .
"Cooling System Cost & Performance Models for Economic sCO2 Plant Optimization with Respect to Cold sCO2 Temperature (Presentation)". United States. https://www.osti.gov/servlets/purl/1569640.
@article{osti_1569640,
title = {Cooling System Cost & Performance Models for Economic sCO2 Plant Optimization with Respect to Cold sCO2 Temperature (Presentation)},
author = {Pidaparti, Sandeep and White, Charles W. and O'Connell, Andrew C. and Weiland, Nathan},
abstractNote = {Due to the nearambient CO2 critical temperature of 31 °C, cooling system performance significantly affects supercritical CO2 (sCO2) power cycle efficiency. Cooling systems tailored to sCO2 cycle operation are thus necessary to realize the efficiency benefits that are possible through reductions in the cold cycle temperature, which reduces cycle compression power requirements. In this presentation, cost and performance spreadsheet models for 4 different types of sCO2 cooling systems are detailed, covering heat and mass transfer modeling, cost scaling algorithms and model validation. The cooling system models can be used by cycle designers to optimize the cooling system operating parameters and cold sCO2 temperature to minimize the overall cost of electricity (COE) for a given plant location. Preliminary economic optimization using these models shows that cooling system optimization improves indirect sCO2 plant efficiency by 34 percentage points, and can reduce COE by up to 8%. },
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {9}
}