Thermal Comfort Test and Analysis of an Office Building in Winter

2015 ◽  
Vol 744-746 ◽  
pp. 2336-2339
Author(s):  
Xin Yu Wu ◽  
Rui Li ◽  
Xu Hui Yao ◽  
Li Xin Wang
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Thermal Comfort ◽  
Influencing Factors ◽  
Environmental Parameters ◽  
Mean Value ◽  
Office Building ◽  
Black Ball

In this paper, an office building's indoor environmental parameters in winter are tested and its comfort and its influencing factors are analyzed. The study used a thermal comfort equipment to obtain parameters including dry bulb temperature, wet bulb temperature, black ball temperature, relative humidity and wind speed. Then these parameters are available to calculate PMV-PPD. The results showed that the range of PMV mean value is from-0.83 to 0.58 and the range of PPD mean value is from 8 % to 22 %.

scholarly journals Analysis of temperature, air humidity and wind conditions for the needs of outdoor thermal comfort

2018 ◽  
Vol 44 ◽  
pp. 00028 ◽  
Author(s):  
Ewelina Dec ◽  
Bożena Babiarz ◽  
Robert Sekret
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Thermal Comfort ◽  
Meteorological Data ◽  
Daily Basis ◽  
Outdoor Thermal Comfort ◽  
Maximum Daily Temperature ◽  
Hot Days ◽  
Average Relative Humidity ◽  
The Relationship

On the thermal comfort of a man staying outdoor during the summer affect mostly meteorological factors, physical activity and the type of clothing. The work analyzed external air parameters, such as: temperature, relative humidity and wind speed, occuring in years 1997‒2016. Meteorological data recorded at the RzeszÓw-Jasionka station allowed to determine, among others, the occurrence of maximum daily and hourly temperatures of outdoor, the daytime and hourly air relative humidity, the hourly wind speed, as well as the relationship between these parameters. In recent years, it has been observed the increase of the number of hot and very hot days which indicates a warming of the climate. The duration of series of days with maximum daily temperature above 30°C is also prolonged, which is not comfortable for a person staying outside. During summer, during hot and very hot days, the average relative humidity remained below 70%. The daily course of this factor was characterized by the opposite tendency with respect to temperature. The wind speed in the summer season varies from 0 to 6 m/s. On a daily basis, the increase in wind speed occurred in the afternoon hours which is consistent with the temperature characteristics. The occurrence of wind during the hottest hours causes a pleasant cooling of the organism.

scholarly journals Effects of different litter depths on environmental parameters and growth performance of growing finishing pigs

2008 ◽  
Vol 39 (3) ◽  
pp. 838-843 ◽  
Author(s):  
Érico Kunde Corrêa ◽  
Ivan Bianchi ◽  
Rafael da Rosa Ulguim ◽  
Marcio Nunes Corrêa ◽  
Carlos Gil-Turnes ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Thermal Comfort ◽  
Growth Performance ◽  
Low Cost ◽  
Environmental Parameters ◽  
Atmospheric Temperature ◽  
Feed Consumption ◽  
Temperate Climate ◽  
Finishing Pigs ◽  
T1 And T2

Deep litter systems represent low cost alternatives to raise growing-finishing pigs, reducing slurry accumulation, although pig's thermal comfort may be negatively affected by the heat produced inside the litter. This study compared environmental and performance parameters for growing-finishing pigs raised on deep litter systems having distinct depths and on solid floor. The experiment was conducted in a region of temperate climate of Brazil, comparing three treatments: litter having rice husk 0.5m (T1); and 0.25m deep (T2); and solid concrete floor (T3). The first litter was used in two lots and replaced by a second litter used in other two lots, during 52 weeks. Each lot included five pigs in a 7m² pen, from 60 to 145 d of age. Environmental parameters were determined at weekly intervals, including: atmospheric temperature; relative humidity; temperature at the center of the pen, in the surface (TSF); and at half of the depth (THD), only for T1 and T2. Feed consumption and weight of pigs were measured every four weeks. Atmospheric temperature and relative humidity were not influenced by the treatments (P>0.05). Mean TSF was 22.8 ± 3.6°C, being lower for T3 (P<0.05), but with no difference between T1 and T2 (P>0.05). TSF was higher for new than for used litters (P<0.001) and for the first than for the second litter (P=0.03), apparently increasing in lots raised during termophilic phases. Mean THD was 33.8±10.8°C, being higher for T1 than for T2 (P<0.05). THD was also higher for new than for used litters (P<0.001) and for the first than for the second litters (P<0.05). No growth performance parameter differed across treatments (P>0.05). Despite the potential unfavorable thermal comfort under high temperatures, deep litter systems can be used to raise pigs in the growing-finishing phases due to the absence of negative effects for growth performance.

scholarly journals Impact of elevated outdoor MRT station towards passenger thermal comfort: A case study in Jakarta MRT

2020 ◽  
Vol 29 (1) ◽  
pp. 93-107
Author(s):  
Sugiono Sugiono ◽  
Andyka Kusuma ◽  
Rio Lukodono ◽  
Siti Nurlaela ◽  
Achmad Wicaksono
Keyword(s):  
Air Quality ◽  
Wind Speed ◽  
Relative Humidity ◽  
Thermal Comfort ◽  
Fluid Dynamic ◽  
Heat Exposure ◽  
Tropical Climate ◽  
Predicted Mean Vote ◽  
Human Thermal Comfort ◽  
Modern Mass

Comfort of the train passengers is the main priority of modern mass rapid transit (MRT) management. Objective of this paper is to investigate the thermal comfort of the elevated MRT station in tropical climate. The first step of this study was to conduct literature review on human thermal comfort, environment ergonomics, computational fluid dynamic (CFD), computational aeroacoustics (CAA), and predicted mean vote (PMV). Air quality in elevated MRT station was measured based on several parameters: relative humidity, wind speed, temperature, and wind direction. A 3D model of MRT designed was used to describe existing condition prior to simulations with CFD and CAA softwares. Predicted mean vote is arranged based on the value of metabolism, wind speed, ambient temperature, mean radiant temperature, amount of insulation from clothing, and relative humidity. Whereas predicted percentage of dissatisfi ed (PPD) can be derived from PMV calculations. The analysis shows that the average PMV of existing condition for elevated outdoor MRT station is 3.6 (extremely hot) with PPD is 100% (all passengers felt discomfort). Some recommendations to reduce heat stress were addressed such as: adding plant, changing materials of the MRT station, and change the design of the elevated MRT station. Modifying open elevated MRT station into indoor elevated MRT station with installing six units of AC (2pk, ±23°C) can improve air quality and maintain the thermal comfort scale of PMV to be –0.04 (comfort) with PPD of &lt; 8%. Based on the analysis, it can be concluded that the most suitable design for elevated MRT station in tropical climate (hot and humid) is indoor MRT station with pay attention to both direct and indirect heat exposure that hit the station.

scholarly journals How Can We Adapt Thermal Comfort for Disabled Patients? A Case Study of French Healthcare Buildings in Summer

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4530
Author(s):  
Youcef Bouzidi ◽  
Zoubayre El Akili ◽  
Antoine Gademer ◽  
Nacef Tazi ◽  
Adil Chahboun
Keyword(s):  
Thermal Comfort ◽  
Thermal Environment ◽  
Residential Buildings ◽  
Linear Regression Analysis ◽  
Environmental Parameters ◽  
Physical Parameters ◽  
Mean Radiant Temperature ◽  
Operative Temperature ◽  
Neutral Temperature ◽  
Radiant Temperature

This paper investigates adaptive thermal comfort during summer in medical residences that are located in the French city of Troyes and managed by the Association of Parents of Disabled Children (APEI). Thermal comfort in these buildings is evaluated using subjective measurements and objective physical parameters. The thermal sensations of respondents were determined by questionnaires, while thermal comfort was estimated using the predicted mean vote (PMV) model. Indoor environmental parameters (relative humidity, mean radiant temperature, air temperature, and air velocity) were measured using a thermal environment sensor during the summer period in July and August 2018. A good correlation was found between operative temperature, mean radiant temperature, and PMV. The neutral temperature was determined by linear regression analysis of the operative temperature and Fanger’s PMV model. The obtained neutral temperature is 23.7 °C. Based on the datasets and questionnaires, the adaptive coefficient α representing patients’ capacity to adapt to heat was found to be 1.261. A strong correlation was also observed between the sequential thermal index n(t) and the adaptive temperature. Finally, a new empirical model of adaptive temperature was developed using the data collected from a longitudinal survey in four residential buildings of APEI in summer, and the obtained adaptive temperature is 25.0 °C with upper and lower limits of 24.7 °C and 25.4 °C.

scholarly journals Parametric Design and Comfort Optimization of Dynamic Shading Structures

2021 ◽  
Vol 13 (14) ◽  
pp. 7670
Author(s):  
Doris A. Chi ◽  
Edwin González M. ◽  
Renato Valdivia ◽  
Eduardo Gutiérrez J.
Keyword(s):  
Thermal Comfort ◽  
Social Dynamics ◽  
Parametric Design ◽  
Environmental Parameters ◽  
Outdoor Thermal Comfort ◽  
Climate Index ◽  
Parametric Modelling ◽  
The Social ◽  
Thermal Climate ◽  
Dynamic Time

This work implements parametric tools to optimize the environmental design of urban adaptive shadings through multiobjective evolutionary algorithms that look for solutions of dynamic (time-changing) structures used in open public spaces. The proposal is located in Malecon Cancun Tajamar in the southeast part of Mexico, and the main objective is to enhance the thermal comfort of users as well as to become part of the social dynamics of the place reinforcing identity through appropriation. The proposed workflow includes four steps: (1) geometric modelling by parametric modelling tools; (2) simulation of environmental parameters by using BPS tools; (3) shape optimization by using an evolutionary algorithm; and (4) environmental verification of the results. The Universal Thermal Climate Index (UTCI) was used to assess the outdoor thermal comfort derived from the dynamic shadings. The results showed a significant improvement in the thermal comfort with absolute UTCI differences of 3.9, 7.4, and 3.1 °C at 8, 12, and 16 h, respectively, during the summer; and absolute differences of 1.4, 3.5, and 2 °C at 8, 12, and 16 h, respectively, during the winter. The proposed workflow can help to guide the early design process of dynamic shadings by finding optimal solutions that enhance outdoor thermal comfort.

scholarly journals Prioritizing and Analyzing the Role of Climate and Urban Parameters in the Confirmed Cases of COVID-19 Based on Artificial Intelligence Applications

2020 ◽  
Vol 17 (10) ◽  
pp. 3730 ◽  
Author(s):  
Sina Shaffiee Haghshenas ◽  
Behrouz Pirouz ◽  
Sami Shaffiee Haghshenas ◽  
Behzad Pirouz ◽  
Patrizia Piro ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Infectious Disease ◽  
Relative Humidity ◽  
Cost Function ◽  
Selection Process ◽  
Environmental Parameters ◽  
Pso Algorithm ◽  
Data Set ◽  
De Algorithm

Nowadays, an infectious disease outbreak is considered one of the most destructive effects in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an infectious disease showed that it has undesirable social, environmental, and economic impacts, and leads to serious challenges and threats. Additionally, investigating the prioritization parameters is of vital importance to reducing the negative impacts of this global crisis. Hence, the main aim of this study is to prioritize and analyze the role of certain environmental parameters. For this purpose, four cities in Italy were selected as a case study and some notable climate parameters—such as daily average temperature, relative humidity, wind speed—and an urban parameter, population density, were considered as input data set, with confirmed cases of COVID-19 being the output dataset. In this paper, two artificial intelligence techniques, including an artificial neural network (ANN) based on particle swarm optimization (PSO) algorithm and differential evolution (DE) algorithm, were used for prioritizing climate and urban parameters. The analysis is based on the feature selection process and then the obtained results from the proposed models compared to select the best one. Finally, the difference in cost function was about 0.0001 between the performances of the two models, hence, the two methods were not different in cost function, however, ANN-PSO was found to be better, because it reached to the desired precision level in lesser iterations than ANN-DE. In addition, the priority of two variables, urban parameter, and relative humidity, were the highest to predict the confirmed cases of COVID-19.

scholarly journals Potential Evapotranspiration Reduction and Its Influence on Crop Yield in the North China Plain in 1961–2014

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Wanlin Dong ◽  
Chao Li ◽  
Qi Hu ◽  
Feifei Pan ◽  
Jyoti Bhandari ◽  
...  
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Crop Yield ◽  
North China Plain ◽  
North China ◽  
Potential Evapotranspiration ◽  
The North ◽  
The North China Plain ◽  
Sunshine Hours ◽  
Humidity Index

Climate change has caused uneven changes in hydrological processes (precipitation and evapotranspiration) on a space-temporal scale, which would influence climate types, eventually impact agricultural production. Based on data from 61 meteorological stations from 1961 to 2014 in the North China Plain (NCP), the spatiotemporal characteristics of climate variables, such as humidity index, precipitation, and potential evapotranspiration (ET0), were analyzed. The sensitivity coefficients and contribution rates were applied to ET0. The NCP has experienced a semiarid to humid climate from north to south due to the significant decline of ET0 (−13.8 mm decade−1). In the study region, 71.0% of the sites showed a “pan evaporation paradox” phenomenon. Relative humidity had the most negative influence on ET0, while wind speed, sunshine hours, and air temperature had a positive effect on ET0. Wind speed and sunshine hours contributed the most to the spatiotemporal variation of ET0, followed by relative humidity and air temperature. Overall, the key climate factor impacting ET0 was wind speed decline in the NCP, particularly in Beijing and Tianjin. The crop yield in Shandong and Henan provinces was higher than that in the other regions with a higher humidity index. The lower the humidity index in Hebei province, the lower the crop yield. Therefore, potential water shortages and water conflict should be considered in the future because of spatiotemporal humidity variations in the NCP.

Design Range of Indoor Relative Humidity in Radiant Cooling Environment

2011 ◽  
Vol 243-249 ◽  
pp. 4905-4908
Author(s):  
Xue Min Sui ◽  
Xu Zhang ◽  
Guang Hui Han
Keyword(s):  
Relative Humidity ◽  
Thermal Comfort ◽  
Mean Radiant Temperature ◽  
Design Standards ◽  
Human Thermal Comfort ◽  
Radiant Cooling ◽  
Climate Parameter ◽  
Radiant Temperature ◽  
Thermal Comfort Model ◽  
The Impact

Relative humidity is an important micro-climate parameter in radiant cooling environment. Based on the human thermal comfort model, this paper studied the effect on PMV index of relative humidity, and studied the relationship of low mean radiant temperature and relative humidity, drew the appropriate design range of indoor relative humidity for radiant cooling systems.The results show that high relative humidity can compensate for the impact on thermal comfort of low mean radiant temperature, on the premise of achieving the same thermal comfort requirements. However, because of the limited compensation range of relative humidity, together with the constraints for it due to anti-condensation of radiant terminal devices, the design range of relative humidity should not be improved, and it can still use the traditional air-conditioning design standards.

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