2014
DOI: 10.1016/j.enbuild.2014.06.037
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A direct numerical integration (DNI) method to obtain wall thermal response factors

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Cited by 6 publications
(3 citation statements)
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“…The RFs of the composed wall are a combination of the two layers 130 5.10 Relationship between X 0 RF and the RF time interval for a double-layered (concrete and polyurethane) wall where the excitation pulse is applied to concrete side. 132…”
Section: Relation Between Different Time Intervals Andmentioning
confidence: 99%
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“…The RFs of the composed wall are a combination of the two layers 130 5.10 Relationship between X 0 RF and the RF time interval for a double-layered (concrete and polyurethane) wall where the excitation pulse is applied to concrete side. 132…”
Section: Relation Between Different Time Intervals Andmentioning
confidence: 99%
“…The method is solely based on a temperature excitation on a system and its corresponding heat flux response and in many situations is less expensive than the numerical methods, in terms of computation time [131]. Many studies have proposed alternative mathematical methods such as direct numerical integration [132] and state space method [133] for calculation of RFs in multi-layered walls [134] even more efficiently. Apart from walls' heat transfer analysis , the applications of the RF method ranges from the assessment of the thermal performance of capillary radiant floors [135] and earth-to-air heat exchangers [136] to thermal behaviour of food products [137].…”
Section: State-of-the-artmentioning
confidence: 99%
“…It has been shown by Spitler and Fisher [11] that these response factors can be derived from conduction transfer coefficients using linear algebra. More recently developed methods include Frequency-Domain Regression (FDR) by Wang and Chen [13,15] (which uses least squares regression in the frequency domain to simplify Laplace inversion), Direct Numerical Integration (DNI) by Varela et al [17] (which provides an alternative numerical Laplace inversion strategy) and Frequency-Domain Spline Interpolation (FDSI) by Pérez et al [19] (which employs Fourier analysis to recover the heat flux in the frequency domain).…”
Section: Introductionmentioning
confidence: 99%