Prediction and comparison of monthly indoor heat stress (WBGT and PHS) for RMG production spaces in Dhaka, Bangladesh

Chowdhury, Sajal; Hamada, Yusuke; Ahmed, Khandaker Shabbir

doi:10.1016/j.scs.2016.11.012

Cited by 19 publications

(6 citation statements)

References 14 publications

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“…Although it met the threshold, the value had a level of discomfort. WBGT value was included in the extremely hot environment category (Chowdhury, Hamada, and Ahmed, 2017). Based on Chowdhury, Hamada, and Ahmed (2017), it had the risk of discomfort, but there was no health risk.…”

Section: Workload and Worktation Environmentmentioning

confidence: 99%

“…WBGT value was included in the extremely hot environment category (Chowdhury, Hamada, and Ahmed, 2017). Based on Chowdhury, Hamada, and Ahmed (2017), it had the risk of discomfort, but there was no health risk. Work inconvenience at SMEs arose from 25.82 to 26.86 °C due to the extremely hot environment at the tofu SMEs workstation (Figure 3b).…”

Section: Workload and Worktation Environmentmentioning

confidence: 99%

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Development of Artificial Neural Networks Model to Determine Labor Rest Period Based on Environmental Ergonomics

Amalia¹,

Ushada²,

Pamungkas³

2023

IJTech

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Food SMEs (Small and Medium Enterprises) were examples of labor-intensive industry, which involved laborers in pursuing production activities. Food SMEs require complex processes in production activities. Support to increase work productivity and reduce ergonomic risks of the activities was needed. The study was conducted at Tofu SMEs. The determination of the rest period could be developed to give some recovery times to laborers. WBGT (Wet Bulb Globe Temperature) was estimated to determine the rest period. The rest period was determined by the workstation environment and workload labor. ANN (Artificial Neural Networks) model was carried out due to a nonlinear relationship. ANN was used to process the information from the data set and predict the amount of rest period and WBGT. ANN was trained using backpropagation. The backpropagation algorithm used the error value to change the weight with forward and backward propagation. The result showed that dry bulb temperature, heart rate, wet bulb temperature, and gender significantly impacted the rest period and WBGT. A total of 180 data sets from tofu SMEs were divided into training data (80%) and validation data (20%). The optimal ANN structure was determined by four input, four hidden, and two output neurons. The activation function was sigmoid for both layers. SSE (Sum of Squared Errors) was used to obtain the best structure. The value of R 2 was equal to above 0.900, which indicated that ANN could model the labor rest period based on environmental ergonomics.

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Section: Workload and Worktation Environmentmentioning

confidence: 99%

Section: Workload and Worktation Environmentmentioning

confidence: 99%

Development of Artificial Neural Networks Model to Determine Labor Rest Period Based on Environmental Ergonomics

Amalia¹,

Ushada²,

Pamungkas³

2023

IJTech

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“…In Dhaka, Bangladesh, production spaces for ready-made garments were found to be too hot. Thousands of workers, primarily women, toiling in these workspaces experience indoor temperatures higher than their body temperatures, which negatively impacts their physiological conditions, resulting in health risks (Chowdhury, Hamada, and Ahmed 2017).…”

Section: Extreme Heat Exposure Also Occurs In F O R M a L L Y C O N S...mentioning

confidence: 99%

Beating the Heat

2022

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The views expressed in this publication are those of the authors and do not necessarily reflect the views and policies of the Asian Development Bank (ADB) or its Board of Governors or the governments they represent.ADB does not guarantee the accuracy of the data included in this publication and accepts no responsibility for any consequence of their use. The mention of specific companies or products of manufacturers does not imply that they are endorsed or recommended by ADB in preference to others of a similar nature that are not mentioned.By making any designation of or reference to a particular territory or geographic area, or by using the term "country" in this document, ADB does not intend to make any judgments as to the legal or other status of any territory or area.

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“…Heat stress [35] on building occupants is usually measured in terms of Wet Bulb Globe Temperature (WBGT) that combines air temperature, humidity, radiation, and air flow into a single value. Studies have quantified that in warm humid climates, levels of heat stress for occupants in free running buildings are mostly higher than the preferred comfort level of WBGT in the whole year [36]. This suggests the criticality of the climate in tropics and the need for careful integration of appropriate design interventions to avoid environmental heat stress through building facades.…”

Section: Heat Stress Through Building Façades In Tropicsmentioning

confidence: 99%

Heat Stress Pattern in Conditioned Office Buildings with Shallow Plan Forms in Metropolitan Colombo

Rajapaksha

2019

Buildings

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This paper critically evaluates indoor overheating of multilevel office buildings in Colombo—a tropical warm humid city. The work questions the building morphological characteristics on thermal performance and indoor climate, thus the levels of Building Energy Indices (BEI) of air conditioned buildings. Pattern of heat stress on buildings due to building characteristics and its relationship to the BEI were identified. A study of 87 multilevel office buildings contributed to identify two critical cases in shallow plan form with similar morphological characteristics such as wall-to-window ratio, aspect ratio, orientation, occupant and equipment density, and façade architecture. A comprehensive thermal performance investigation on these two critical cases quantified the heat stress patterns on their facades and thus indoor thermal environments. Indoor air temperature during office hours in 3 m × 3 m multizones across the depths and lengths in these two buildings showed deviations up to 10.5 °C above the set point temperature level (24 °C). Findings highlight the severity of heat stress on air conditioned indoor environments and the need to address this issue for energy sustainability of urban office buildings in the tropics.

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Prediction and comparison of monthly indoor heat stress (WBGT and PHS) for RMG production spaces in Dhaka, Bangladesh

Cited by 19 publications

References 14 publications

Development of Artificial Neural Networks Model to Determine Labor Rest Period Based on Environmental Ergonomics

Development of Artificial Neural Networks Model to Determine Labor Rest Period Based on Environmental Ergonomics

Beating the Heat

Heat Stress Pattern in Conditioned Office Buildings with Shallow Plan Forms in Metropolitan Colombo

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