Treffer: Natural Draft Direct Dry Cooling System Performance at Various Application ScalesUnder Steady and Transient Conditions

Title:
Natural Draft Direct Dry Cooling System Performance at Various Application ScalesUnder Steady and Transient Conditions
Authors:
WIAN Strydom
Publication Year:
2025
Subject Terms:
Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics), Fundamental and theoretical fluid dynamics, Turbulent flows, Natural draft direct dry cooling system, air-cooled condenser, Transient start-up, Load ramp, Turbine islanding, Co-simulation, Department of Mechanical and Mechatronic Engineering
Document Type:
E-Ressource software
Language:
unknown
Relation:
https://figshare.com/articles/software/Natural_Draft_Direct_Dry_Cooling_System_Performance_at_Various_Application_ScalesUnder_Steady_and_Transient_Conditions/27330279
DOI:
10.25413/sun.27330279.v1
Availability:
https://doi.org/10.25413/sun.27330279.v1
https://figshare.com/articles/software/Natural_Draft_Direct_Dry_Cooling_System_Performance_at_Various_Application_ScalesUnder_Steady_and_Transient_Conditions/27330279
Rights:
CC BY 4.0
Accession Number:
edsbas.A8A1F249
Database:
BASE

Weitere Informationen

The natural draft direct dry cooling system (NDDDCS) combines the advantages of traditional forced draft air-cooled condensers (ACCs) with those of indirect natural draft dry cooling systems, providing reduced complexity, lower auxiliary power consumption, and enhanced thermal efficiency through direct condensation. This study examines the transient cold start-up and operational performance of NDDDCSs under no-wind and crosswind conditions at two scales: a large-scale coal-fired power plant (900 MWt) and a medium-scale (100 MWt) concentrated solar power (CSP) plant, both equipped with vertically arranged heat exchanger bundles. Addressing a significant gap in the literature, a co-simulation approach is used, integrating a transient 3-D computational fluid dynamics (CFD) model via FLUENT for the air-side analysis with a transient 1-D Python-based numerical model for the steam-side, coupled through the PyFLUENT architecture. The 1-D and 3-D model components are validated, based on the foundations of previously validated steady-state 3-D CFD and 1-D transient models.