Thermal environment in the cotton textile workshop

Yang, Ruiliang; Liu, Lei; Ren, Yue

doi:10.1016/j.enbuild.2015.06.024

Cited by 15 publications

(9 citation statements)

References 25 publications

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“…The relationship between ln GDP and ln Z can be regressed by the orthogonal least-squares (OLS): ln 4.446269 0.904111ln GDP Z  (2) t value (27.43305)(27.27880) Regression results show that 2 R ≈0.971284. The associated probability of F-test was calculated as 0.000000, which means variables in equation significantly, good fitting effect, and highly linear between variables.…”

Section: The Engle-granger Methodsmentioning

confidence: 99%

“…Textile clothing industry is the important industry of the people's livelihood and export advantage industry in China. In recent years Chinese textile clothing export accounted for over 30% of the international market share [1] and about 13% of total Chinese exports [2]. Although faces from other lowwage countries such as Cambodia, Vietnam, Bangladesh's competition, the textile clothing exports continue to play the most important role in the international market due to complete industry chain [3].…”

Section: Introductionmentioning

confidence: 99%

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Textile Clothing Industry of Henan Province and Its Promotion to Henan Economy

Ruixia¹

2015

Proceedings of the 2015 International Conference on Industrial Technology and Management Science

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Based on the related data of the textile clothing data in Henan Province, the promotion of textile clothing industry to Henan economic was researched through the Engle-Granger method. Then the direct pull degree and contribution rate of textile clothing industry to Henan economic were examined through the definition of direct pull degree and contribution rate. Results shows the textile clothing industry had more obvious role in promoting Henan economic growth, but this role reached the peak in 2003 before declining slowly in recent years. KEYWORD: Textile clothing industry; Henan Province; Engle-Granger method; Direct pull degree; Contribution rate.

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Section: The Engle-granger Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Textile Clothing Industry of Henan Province and Its Promotion to Henan Economy

Ruixia¹

2015

Proceedings of the 2015 International Conference on Industrial Technology and Management Science

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“…Jokl, in his paper states that the thermal-hygric microclimate is a component of the environment formed by flows of heat and humidity flows -heat and water vapour, to which the person is exposed and together affect its overall state [9÷11]. According to [12,13] the factors of the thermal-hygric microclimate such as excessive heat or cold, damp (water vapour), improper air flow are considered harmful. The thermalhygric microclimate factors, under certain conditions, if their values are high or low, may pose a health risk to employees [14].…”

Section: Introductionmentioning

confidence: 99%

Approaches to the Evaluation of Thermal-Hygric Microclimatic Conditions in Selected Manufacturing Organizations

Andrejiová¹,

Kralikova²,

Piňosová³

et al. 2019

Adv. Sci. Technol. Res. J.

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Attention was paid to the theoretical and empirical aspects of the evaluation of the thermal-hygric microclimate parameters of the working environment and their impact on the employees. The evaluation included questionnaire research, which involved two main areas: 1. Thermal-hygric microclimate conditions in the workplace; 2. Health problems of employees related to workplace conditions. The research was participated in by 200 employees working in manufacturing mechanical engineering organizations. The entry criterion for inclusion in the data set was the good health of the respondent, not suffering from serious health problems. The results of the evaluation showed that there is a statistically significant dependence between some of the monitored characteristics: between the age of the employee and the occurrence of monitored health problems (headache, feeling cold, spine pain), as well as between the work done and the satisfaction with the humidity of the workplace or with a feeling of dry nasal mucosa. The results of the questionnaire survey also showed a significant dependence between the type of manufacturing organization and the thermal and humidity conditions in the workplace or the occurrence of respondents' health problems. In addition, a moderately positive relationship was found between thermal-hygric microclimatic conditions and the feeling of fatigue and headaches (or feeling of cold symptoms, spinal pain, and dry nasal mucous membrane). When evaluating the questionnaire research, statistical methods were used to monitor categorical dependence.

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“…Meanwhile, PMV model sometimes overestimate the thermal sensation of occupants under warm condition, e.g. Yang et al [8] investigated thermal environment in cotton textile workshop by performing a field research in Zhengzhou Hongye Textile Co., Ltd., China. PMV model overestimated the mean thermal sensation of the worker up to 0.67 scale points.…”

Section: Introductionmentioning

confidence: 99%

Development Adaptive Predicted Mean Vote (aPMV) Model for Naturally Ventilated Buildings in Zunyi, China

Liu

Cai

2019

E3S Web Conf.

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Fanger’s predicted mean vote (PMV) model which is as a result of climate-chamber-based experiments is a good tool to evaluate indoor thermal comfort for air-conditioned buildings in global wide. However, PMV model has defect of predicting people’s real thermal sensation under non-air-conditioned conditions. It is reflected by the significant discrepancies between PMV values and Actual Mean Vote (AMV) values. The aim of this study is to develop an Adaptive Predicted Mean Vote (aPMV) Model on the basis of ‘black box’ theory considering occupants’ adaptations to improve prediction performance. A field study was carried out in naturally ventilated educational buildings in Zunyi, China. The developed aPMV model produces more reliable results and shows better prediction performance, comparing with values predicted by PMV model. It indicates that aPMV model is of great benefit to connect traditional PMV model and adaptive comfort model and consequently to provide guidance on building design, operation and maintenance, which contribute to achieve building energy conservation and emission reduction target.

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Thermal environment in the cotton textile workshop

Cited by 15 publications

References 25 publications

Textile Clothing Industry of Henan Province and Its Promotion to Henan Economy

Textile Clothing Industry of Henan Province and Its Promotion to Henan Economy

Approaches to the Evaluation of Thermal-Hygric Microclimatic Conditions in Selected Manufacturing Organizations

Development Adaptive Predicted Mean Vote (aPMV) Model for Naturally Ventilated Buildings in Zunyi, China

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