Characteristics of wind speed during rainfall event in the tropical urban city

Swarno, Husna Aini; Zaki, Sheikh Ahmad; Hagishima, Aya; Yusup, Yusri

doi:10.1016/j.uclim.2020.100620

Cited by 17 publications

(12 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…UHII is maximum for the hot month of June which is in the range of about 2 °C. The range of UHII is within that measured by Harun et al [15] and simulated by Morris et al [25] of about 4 °C and 3 °C respectively. This shows that the intensity in the planned city can dampen the UHI effect.…”

Section: Temperaturesupporting

confidence: 88%

Variation of the Urban Heat Island Intensity over One Year in Putrajaya, Malaysia

Harun¹,

Azhar²,

Abbas³

et al. 2022

JMechE

View full text Add to dashboard Cite

This research was conducted to evaluate the variation of the urban heat island (UHI) effects in the planned city of Putrajaya over one year. Putrajaya, the administrative capital of Malaysia, is known for its meticulous town planning. The main observations are temperature variation, the changes in wind speed, percentage of relative humidity, and subsequently, the intensity of UHI in the research area. Putrajaya Corporation Complex Precinct 3 (P3) and Precinct 9 (P9) are located in the central business district (CBD) and residential areas respectively. These two places are representatives of UHI's effects on CBD and residential areas. Ultrasonic anemometers which measure 3 components of wind velocities and temperature were employed to analyse temperature and wind patterns. The result indicates the city experienced high temperatures during the day causing human heat stress and discomfort. The UHI intensities of the city are within the range of temperature differences 2 to 3 °C. Land surface cover and numbers of the population are the vital effects of the UHI. Thus, strategies to reduce the existing high air and surface temperature are required in the future.

show abstract

Section: Temperaturesupporting

confidence: 88%

Variation of the Urban Heat Island Intensity over One Year in Putrajaya, Malaysia

Harun¹,

Azhar²,

Abbas³

et al. 2022

JMechE

View full text Add to dashboard Cite

show abstract

“…Figure 4 shows the climograph for Malaysia, based on secondary data from the weather station in Sultan Abdul Aziz Shah Airport, Selangor Malaysia [31]. Malaysia has a hot and humid climate throughout the year; therefore, the monthly average outdoor temperature and humidity is almost constant in most towns, as confirmed by Kubota et al [32], Swarno et al [23], and Zaki et al [33]. The average monthly outdoor temperature was 27.8 °C, and the average monthly relative humidity was 82%.…”

Section: Questionnaire and Surveymentioning

confidence: 94%

“…Ranjbar et al [22] analyzed the short-term measurement of real-time electrical energy consumption in Kuala Lumpur during hot weather, and concluded that the AC contributed 19.4% to 52.3% of the total consumed electricity. Swarno et al [23] observed the diurnal variation of the urban microclimate in Kuala Lumpur, and indicated that urban microclimatic parameters were influenced by monsoon seasons and the urban topography. Sena et al [24] constructed a conceptual framework of electrical energy consumption modeling for Malaysian households, using an artificial neural network.…”

Section: Introductionmentioning

confidence: 99%

Development of an Electrical Energy Consumption Model for Malaysian Households, Based on Techno-Socioeconomic Determinant Factors

et al. 2021

Self Cite

View full text Add to dashboard Cite

Energy-saving strategies are required to address the increasing global CO2 and electrical energy consumption problems. Therefore, the determinant factors of electrical energy consumption consist of socio-demographic changes, occupant behavior, house and appliance characteristics, or so-called techno-socioeconomic factors, which all need to be assessed. Statistics models, such as the artificial neural network (ANN), can investigate the relationship among those factors. However, the previous ANN model only used limited factors and was conducted in the developed countries of subtropical regions with different determinant factors than those in the developing countries of tropical regions. Furthermore, the previous studies did not investigate the various impacts of techno-socioeconomic factors concerning the performance of the ANN model in estimating monthly electrical energy consumption. The current study develops a model with a more-in depth architecture by examining the effect of additional factors such as socio-demographics, house characteristics, occupant behavior, and appliance characteristics that have not been investigated concerning the model performance. Thus, a questionnaire survey was conducted from November 2017 to January 2018 with 214 university students. The best combination factors in explaining the monthly electrical energy consumption were developed from occupant behavior, with 81% of the variance and a mean absolute percentage error (MAPE) of 20.6%, which can be classified as a reasonably accurate model. The current study’s findings could be used as additional information for occupants or for companies who want to install photovoltaic or wind energy systems.

show abstract

“…The outdoor air temperature (T o ) was obtained from the weather station located on the roof of the Malaysia-Japan International Institute of Technology building in the UTMKL campus. The information about this weather station can be found in Swarno et al [44,45]. measurement device, shown in Figure 4d.…”

Section: Indoor Thermal Variablesmentioning

confidence: 99%

Effectiveness of a Cool Bed Linen for Thermal Comfort and Sleep Quality in Air-Conditioned Bedroom under Hot-Humid Climate

et al. 2021

Self Cite

View full text Add to dashboard Cite

Comfort temperature and sleep quality involving 20 participants were determined in two cases: Case A (arbitrary, controlled air-conditioner setting) and Case B (adjustment of 3 °C higher than the setting of Case A with cool bed linen). Data of indoor thermal comfort and electricity consumption were collected every night throughout the measurement period. Questionnaires on thermal comfort and sleep quality were distributed twice a night for a duration of three nights for each case; the first night was for respondents’ adaptation and the following two nights were for measurement. The sleep quality of the respondents was objectively measured using a commercially available activity tracker. Results found that most respondents were thermally comfortable in both cases, with 39% lower energy consumption reported for Case B compared to Case A. The thermal conditions of Case B were found to be more tolerable than those of Case A. Most respondents reported to have a calm and satisfied sleep for both cases. Comfort temperature and Sleep Efficiency Index (SEI) were found to be maintained in both cases.

show abstract

Characteristics of wind speed during rainfall event in the tropical urban city

Cited by 17 publications

References 29 publications

Variation of the Urban Heat Island Intensity over One Year in Putrajaya, Malaysia

Variation of the Urban Heat Island Intensity over One Year in Putrajaya, Malaysia

Development of an Electrical Energy Consumption Model for Malaysian Households, Based on Techno-Socioeconomic Determinant Factors

Effectiveness of a Cool Bed Linen for Thermal Comfort and Sleep Quality in Air-Conditioned Bedroom under Hot-Humid Climate

Contact Info

Product

Resources

About