Selection of typical weather data (test reference years) for Subang, Malaysia

Analysis and improvement of the representativeness of EN ISO 15927-4 reference years for building energy simulation

“…The introduction of weights for the different weather parameters implies that the typicality of certain weather statistics is sacrificed for the typicality in others and this is due to the fact that often "no month in the period of record adequately represents the long term in more than one or two statistics" (Freeman 1979). Some authors (Rahman and Dewsbury 2007) suggested to use the same weights for each weather parameter and to avoid weighting strategies if not necessary. However, many authors consider the use of weights important for the development of specific reference years according to the different applications, as observed by Yang and Lu (2004).…”

Multi-year and reference year weather data for building energy labelling in north Italy climates

“…Comparing the SANDIA, the "Danish" and the Festa-Ratto methods for the evaluation of the reference years for 4 localities in Thailand, Janjai and Deeyai concluded that there is no significant difference in solar fractions and outputs of both thermal and PV solar systems [30]. In their study for the location of Subang, Malaysia, Rahman and Dewsbury recommended to weight equally the weather parameters in the calculation [31]. Studying the sensitivity of the energy production of a PV module and building energy needs in Palermo, Sicily, to the chosen method, Sorrentino et al underlined that the best solution can be found using different weights for the selection of the TRY months, in particular for the building energy need evaluation [32].…”

Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China

“…Many efforts have been made to generate typical meteorological years in multitudinous locations globally, including Nigeria [14], [15], Greece [16], Cyprus [17], Syria [18], [19], Malaysia [20], Spain [21], Thailand [22], [23], Saudi Arabia [24], South Korea [25], and Turkey [26]. In China, several typical year data sets have been published in recent years.…”