A climate analysis tool for passive heating and cooling strategies in hot humid climate based on Typical Meteorological Year data sets

Past years have witnessed the popularity of traditional Malay house as a common housing type in Malaysia. However, double-storey house has become one of the common types of low-rise housing in Malaysia. Several passive cooling strategies have been adopted to cope with the hot-humid climate of Malaysia. In this study, the thermal comfort of a double-storey house was examined when different passive cooling strategies that were adopted from traditional Malay houses were applied using IES-VE 2019 building simulation software. The simulation was conducted for various design strategies such as changing concrete roof tiles to clay roof tiles, adding two small openings to the attic, removing the ceiling between the upper floor and the attic, and extending the overhang by 50% of its length for all the four facades. All these strategies were tested and compared between full-day natural ventilation and without any ventilation. The thermal comfort of these strategies was graphically defined based on the operative temperature. These analyses revealed that protecting the building envelope by extending the overhang by 50% of its length for all the four facades could ensure the best thermal comfort is achieved compared to other selected strategies. Recommendations for further studies are also outlined in this paper.

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Comparative bioclimatic approach for comfort and passive heating and cooling strategies in Algeria

Building and Environment ◽

10.1016/j.buildenv.2019.106271 ◽

2019 ◽

Vol 161 ◽

pp. 106271 ◽

Cited By ~ 8

Author(s):

Samir Semahi ◽

Noureddine Zemmouri ◽

Manoj Kumar Singh ◽

Shady Attia

Keyword(s):

Passive Heating ◽

Cooling Strategies ◽

Heating And Cooling

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Passive heating and cooling strategies in an approaches of retrofit in Rome

Energy and Buildings ◽

10.1016/j.enbuild.2006.10.008 ◽

2007 ◽

Vol 39 (8) ◽

pp. 875-885 ◽

Cited By ~ 11

Author(s):

Valerio Calderaro ◽

Stefano Agnoli

Keyword(s):

Passive Heating ◽

Cooling Strategies ◽

Heating And Cooling

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Total column water vapour measurements from GOME-2 MetOp-A and MetOp-B

Atmospheric Measurement Techniques Discussions ◽

10.5194/amtd-7-3021-2014 ◽

2014 ◽

Vol 7 (3) ◽

pp. 3021-3073 ◽

Cited By ~ 5

Author(s):

M. Grossi ◽

P. Valks ◽

D. Loyola ◽

B. Aberle ◽

S. Slijkhuis ◽

...

Keyword(s):

Water Vapour ◽

Optical Absorption Spectroscopy ◽

Retrieval Algorithm ◽

Data Sets ◽

Vertical Column ◽

Data Set ◽

Vertical Column Density ◽

Data Processor ◽

Climate Analysis ◽

Total Column

Abstract. The knowledge of the total column water vapour (TCWV) global distribution is fundamental for climate analysis and weather monitoring. In this work, we present the retrieval algorithm used to derive the operational TCWV from the GOME-2 sensors and perform an extensive inter-comparison and validation in order to estimate their absolute accuracy and long-term stability. We use the recently reprocessed data sets retrieved by the GOME-2 instruments aboard EUMETSAT's MetOp-A and MetOp-B satellites and generated by DLR in the framework of the O3M-SAF using the GOME Data Processor (GDP) version 4.7. The retrieval algorithm is based on a classical Differential Optical Absorption Spectroscopy (DOAS) method and combines H2O/O2 retrieval for the computation of the trace gas vertical column density. We introduce a further enhancement in the quality of the H2O column by optimizing the cloud screening and developing an empirical correction in order to eliminate the instrument scan angle dependencies. We evaluate the overall consistency between about 8 months measurements from the newer GOME-2 instrument on the MetOp-B platform with the GOME-2/MetOp-A data in the overlap period. Furthermore, we compare GOME-2 results with independent TCWV data from ECMWF and with SSMIS satellite measurements during the full period January 2007–August 2013 and we perform a validation against the combined SSM/I + MERIS satellite data set developed in the framework of the ESA DUE GlobVapour project. We find global mean biases as small as ± 0.03 g cm−2 between GOME-2A and all other data sets. The combined SSM/I-MERIS sample is typically drier than the GOME-2 retrievals (−0.005 g cm−2), while on average GOME-2 data overestimate the SSMIS measurements by only 0.028 g cm−2. However, the size of some of these biases are seasonally dependent. Monthly average differences can be as large as 0.1 g cm−2, based on the analysis against SSMIS measurements, but are not as evident in the validation with the ECMWF and the SSM/I + MERIS data. Studying two exemplary months, we estimate regional differences and identify a very good agreement between GOME-2 total columns and all three independent data sets, especially for land areas, although some discrepancies over ocean and over land areas with high humidity and a relatively large surface albedo are also present.

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A batch-wise non-linear fitting and analysis tool for treating large X-ray diffraction data sets

Journal of Applied Crystallography ◽

10.1107/s0021889805035351 ◽

2006 ◽

Vol 39 (2) ◽

pp. 262-266 ◽

Cited By ~ 7

Author(s):

R. J. Davies

Keyword(s):

Diffraction Data ◽

Operation Mode ◽

Large Data ◽

Scattering Data ◽

Data Sets ◽

Analysis Tool ◽

Data Set ◽

X Ray ◽

Linear Fitting ◽

Non Linear

Synchrotron sources offer high-brilliance X-ray beams which are ideal for spatially and time-resolved studies. Large amounts of wide- and small-angle X-ray scattering data can now be generated rapidly, for example, during routine scanning experiments. Consequently, the analysis of the large data sets produced has become a complex and pressing issue. Even relatively simple analyses become difficult when a single data set can contain many thousands of individual diffraction patterns. This article reports on a new software application for the automated analysis of scattering intensity profiles. It is capable of batch-processing thousands of individual data files without user intervention. Diffraction data can be fitted using a combination of background functions and non-linear peak functions. To compliment the batch-wise operation mode, the software includes several specialist algorithms to ensure that the results obtained are reliable. These include peak-tracking, artefact removal, function elimination and spread-estimate fitting. Furthermore, as well as non-linear fitting, the software can calculate integrated intensities and selected orientation parameters.

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