2017
DOI: 10.1080/19942060.2017.1300107
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New natural convection heat transfer correlations in enclosures for building performance simulation

Abstract: This paper presents new correlations to calculate natural convection heat transfer coefficients (CHTC) in enclosures for building performance simulation. Current work related to the development of correlations is not oriented to building enclosures, and the influence of high numbers of Rayleigh (Ra) and aspect ratio on the CHTC has not been studied in detail. In this work, two new correlations have been developed for a vertical wall, one in laminar regime (Ra < 10 7) and another one in turbulent regime (10 7 <… Show more

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Cited by 26 publications
(23 citation statements)
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References 46 publications
(58 reference statements)
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“…This is due to the fact that the velocity at the boundaries is higher than velocity at the center of the cavity in Figure 3(l). [25,[35][36][37]. For low Ra (= 10 3 ) and as AR increases from 0.5 to 2, it is observed the presence of isotherms which are almost vertical as displayed in Figures 4(a, b, c).…”
Section: Resultsmentioning
confidence: 72%
See 1 more Smart Citation
“…This is due to the fact that the velocity at the boundaries is higher than velocity at the center of the cavity in Figure 3(l). [25,[35][36][37]. For low Ra (= 10 3 ) and as AR increases from 0.5 to 2, it is observed the presence of isotherms which are almost vertical as displayed in Figures 4(a, b, c).…”
Section: Resultsmentioning
confidence: 72%
“…The AR effects with 1 ≤ AR ≤ 2 for 10 6 ≤ Ra ≤ 10 8 in the 3D differentially heated cubical cavity was investigated by Ravnik et al [24] using the boundary element method. According to results reported by Rincon Casado et al [25] for AR= 1 threedimensional effects are less pronounced with a reduction of 2-4% compared to a 2D model for Ra ≤ 10 12 . This is due to the fact that the 3D effect of the boundary layer is not significant in the average Nusselt number with high Ra.…”
Section: Introductionmentioning
confidence: 73%
“…In Table 4, all the necessary variables for the calculation of the GCI for the 12 temperature sensors are shown. The table shows the values of the GCI 12 , the GCI 23 indexes and the temperature sensor measurement bias error (0.5 error sensor, divided by measurement temperature sensor in percent). The small values for GCI confirm that the solution is grid independent.…”
Section: Figure 10mentioning
confidence: 99%
“…Recently correlations have been developed to implement them in thermal simulation programmes of buildings [12]. These correlations are used for convective heat transfer calculations.…”
Section: Introductionmentioning
confidence: 99%
“…Wind promotes a controlled pressure distribution over the building envelope [1] (conditioning indoor air change through ventilation openings). Convective phenomena is generated by static pressure due to air density and temperature gradient [2]. In this process, indoor air is mixed with outdoor air supplied through the envelope due to various phenomena (openings, infiltrations, ducts, etc.)…”
Section: Introductionmentioning
confidence: 99%