Measured and perceived indoor environmental quality: Padua Hospital case study

Giuli, Valeria De; Zecchin, Roberto; Salmaso, Luigi; Corain, Livio; Carli, Michele De

doi:10.1016/j.buildenv.2012.08.021

Cited by 64 publications

(29 citation statements)

References 21 publications

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“…Their results demonstrated that the CO 2 and TVOC concentration in inpatient rooms are higher than that in nurse stations, clinics and clinic waiting areas. The mean CO 2 and TVOC concentration in the inpatient rooms are 1063 ppm and 1600 ppb, which are higher than Taiwan's IAQ standard acceptable levels. In five sampled Chinese inpatient buildings, the measured mean concentrations of phthalate esters in the nurse stations, the inpatient rooms and the doctor's offices are 20.66 μg/m 3 , 20.0 μg/m 3 and 16.92 μg/m 3 , respectively, which are higher than that of newly furnished houses, indicating a seriously contaminated hospital indoor air [18].…”

Section: Introductionmentioning

confidence: 64%

“…Furthermore, the demands of different categories of occupants in the inpatient building are highly variable. De Giuli et al [2] conducted a Post-Occupancy Evaluation in an Italian hospital and indicated that the staff mostly complained about the lack of privacy, room size, and amount of common areas, whereas patients were more satisfied with both the building-related aspects and the indoor conditions and expressed a higher satisfaction level. It is evident that most studies on building IEQ have considered thermal comfort, indoor air quality (IAQ), lighting, and acoustics as the main parameters to determine the indoor comfort level [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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A field study on indoor environment quality of Chinese inpatient buildings in a hot and humid region

Tang

Ding

et al. 2019

Building and Environment

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In this research, objective physical measurements and subjective questionnaire surveys are used to investigate the indoor environment quality of Chinese inpatient buildings. The relative humidity in the inpatient buildings reaches 65%-75% during summer, resulting in the regular appearance of microbial growth on indoor surfaces. The average outdoor air change rate measured through the CO 2 concentration decay method in the sampled inpatient rooms is 1.1 h −1 , which is 45% below the standard threshold. The CO 2 concentration in over 99% of the functional spaces is below the threshold of 1000 ppm. However, the dissatisfaction rate of the air freshness is higher than 25%, owing to the characteristics of healthcare activities. Insufficient fresh air volume and high supply air humidity ratio of the outdoor air system result in the inadequate dehumidification capacity and the over-humid environment in the inpatient buildings. From the perspective of indoor TVOC and PM2.5 concentration, a hospitable IAQ is achieved in the inpatient buildings. In the nurse unit, the illumination levels in public areas, such as patient corridors and nurse stations, are inadequate. The average noise levels (A) in the inpatient rooms and nurse stations are 50.7 and 61.6 dB, respectively, which exceeds the Chinese standard. According to the subjective survey, the dissatisfaction rates of overall IEQ in the summer for patients and visitors are 7.9% and 10.4%, respectively, while for staff it is 34.8%. Statistical analysis reveals that the satisfaction levels of the patient with the IEQ are higher than that of the visitor and staff.

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Section: Introductionmentioning

confidence: 64%

Section: Introductionmentioning

confidence: 99%

A field study on indoor environment quality of Chinese inpatient buildings in a hot and humid region

Tang

Ding

et al. 2019

Building and Environment

View full text Add to dashboard Cite

show abstract

“…However, the decrease in CO 2 concentrations to normal levels on other days as well as evenings and weekends, where it reached approximately 400 ppm, indicates the problem may not be attributed to the test equipment. This unexpected fluctuation in CO 2 concentration levels highlights a major disadvantage in using CO 2 as an indicator for a b Research studies [43][44][45] are showing how aspects of a building's performance such as energy and indoor air quality (IAQ) are intricately linked to its occupancy. This makes learning about a building's occupancy patterns a priority to explain the variations in its performance.…”

Section: Discussionmentioning

confidence: 99%

Effectiveness of using WiFi technologies to detect and predict building occupancy

et al. 2017

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Abstract. This paper presents findings of a case-study demonstrating the effectiveness of using WiFi networks to detect occupancy as opposed to CO 2 sensors, commonly used for demand-controlled heating, ventilation and air conditioning (HVAC) systems. The study took place in one building at the University of Manitoba Fort Garry campus in Canada. In a classroom, the number of WiFi connections was collected on an hourly basis over one-week, simultaneously with CO 2 concentration levels at 10-min intervals. The number of occupants in this classroom was also counted on an hourly basis over the same study period. Data analysis showed that WiFi counts predicted actual occupancy levels more accurately than CO 2 concentration levels, thus validating the use of this technology to track occupancy. This study was the first to use both CO 2 concentration and WiFi counts simultaneously as indicators for occupancy. Results demonstrated the possibility of using WiFi counts in large buildings for controlling HVAC systems at a higher accuracy and lower cost than other sensor technologies. Implications and influences: Given the large contribution of HVAC systems to overall buildings' energy consumption, this study presents a new method for efficiently operating HVAC systems. Results highlighted the accuracy of using WiFi connections as predictors for occupancy patterns to be used for controlling HVAC systems instead of CO 2 sensors. These findings provide a foundation for further research on using WiFi networks to manage and operate HVAC systems in new buildings. Efficient operation of these systems based on real-time occupancy as opposed to static schedules provides facility managers with an opportunity for significant energy savings at a relatively low cost.Keywords: buildings energy management / occupancy and energy consumption / smart buildings systems / green buildings / sensor-based HVAC systems

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“…A hospital hosts 3 different categories of individuals: medical staff, patients, and visitors, all of whom having different expectations about the hospital building, For the staff, the hospital is their work place and permanent environment, but for patients, the hospital tends to be a temporary place to stay, while waiting to return home (11). In the light of discussion above, creating thermal comfort in workplaces is vital and further research should be conducted to solve thermal discomfort in hospitals and improve the optimum thermal condition for workers.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Thermal Comfort in an Iranian Educational Hospital Using PMV- PPD Model

Sajedifar¹,

Mirzaei²,

Teimori-Boghsani³

et al. 2017

Biotech Health Sci

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Background: Considering the advancement of technology and application of various appliances in the workplace, one of the most significant current discussions in the industrial and nonindustrialized workplaces is thermal comfort. Hospital staff have a special status because of the diversity of people employed in hospitals and their crucial roles. Objectives: The present study aimed at investigating the staffs' thermal comfort in a hospital in Esfahan. Methods: In this cross-sectional study, Al Zahra hospital staff working in the underground floor were recruited. The sampling method was census, and 161 staff participated in the study. Data were collected by mental assessment using a questionnaire and physical measurement using wet bulb globe temperature (WBGT) machine in the summer of 2015. The predicted mean vote (PMV) and predicted percentage dissatisfied (PPD) were determined based on mental assessment or individual feeling of the staff about thermal comfort. Data management and analyses were performed using SPSS 23. Results:The results of the data analysis revealed that kitchen, laundry, and sterilization sectors had higher temperature than other units. Moreover, the results demonstrated that the offices of educational sectors and educational classes had a standard level of thermal comfort according to ASHRAE (American society of heating, refrigerating and air-conditioning engineers) Standard 55. The investigations of physical and mental PMV in every unit showed that the total index of these 2 values was 1.2 and 1.39, respectively. Conclusions: Based on the results, the units located at the underground floor needed proper design and access to natural ventilation and enough air flow to provide optimum thermal comfort based on international standards.

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Measured and perceived indoor environmental quality: Padua Hospital case study

Cited by 64 publications

References 21 publications

A field study on indoor environment quality of Chinese inpatient buildings in a hot and humid region

A field study on indoor environment quality of Chinese inpatient buildings in a hot and humid region

Effectiveness of using WiFi technologies to detect and predict building occupancy

Evaluation of Thermal Comfort in an Iranian Educational Hospital Using PMV- PPD Model

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