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International Journal of Heat and Mass Transfer
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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A novel method to predict the transient start-up time for natural draft dry cooling towers in dispatchable power plants

Authors: Dong, Peixin; Kaiser, Antonio S.; Guan, Zhiqiang; Li, Xiaoxiao; Gurgenci, Hal; Hooman, Kamel;

A novel method to predict the transient start-up time for natural draft dry cooling towers in dispatchable power plants

Abstract

Abstract To predict the time taken for the start-up process of NDDCTs with different geometric parameters and initial conditions under windless condition, dimensional analysis is used to first determine the significant variables governing the transient start-up process. Buckingham Pi theorem is subsequently adopted to identify the relationship between the air mass flow rate through the tower and the time-taken during the start-up process of NDDCTs. Then, numerical tests are carried out to investigate the start-up process of NDDCTs with different geometric parameters including the tower height H, (H = 20 m, 40 m, 60 m and 80 m) and base diameter D, (D = 8 m, 10 m and 12 m) over a range of initial condition, i.e., when the temperature difference between the heat exchanger and the ambient air ΔT, varies from = 20 K to 40 K. The numerical results demonstrate that the base diameter will not affect the time taken during the start-up process of NDDCTs in the absence of cold air inflow, i.e., when no cold air intrudes into the tower from the top. However, the time taken for the start-up process of an NDDCT rises with the increase of the tower height, but is shortened with the increase of air-heat exchanger temperature difference. Finally, an accurate mathematical model is established based on both dimensional analysis and numerical tests to predict the start-up time leading to t = α H Δ T 2 0.3 .

Country
Australia
Keywords

690, Natural draft dry cooling towers (NDDCTs), 3104 Condensed Matter Physics, 1507 Fluid Flow and Transfer Processes, 2210 Mechanical Engineering, Dispatchable power plants, Start-up process, Dimensional analysis, Predictive model

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%