Citation: U´ scinowicz, P.; Bogdan, A.
Directions of Modification of the
Model of Perception of the Thermal
Environment by Patients of Selected
Hospital Wards. Energies 2022, 15,
3965. https://doi.org/10.3390/
en15113965
Academic Editors: Jan Kaczmarczyk,
Joanna Ferdyn-Grygierek
and Robert Sekret
Received: 13 April 2022
Accepted: 17 May 2022
Published: 27 May 2022
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energies
Article
Directions of Modification of the Model of Perception of the
Thermal Environment by Patients of Selected Hospital Wards
Piotr U´ scinowicz and Anna Bogdan *
Department of Air-Conditioning and Heating, Faculty of Building Services, Hydro and Environmental
Engineering, Warsaw University of Technology, 00-664 Warsaw, Poland; uscinowicz.piotr@gmail.com
* Correspondence: anna.bogdan@pw.edu.pl; Tel.: +48-22-234-7887
Abstract: Patients are different regarding their health conditions, illnesses and ailments, and mobility.
These and other factors could affect their specific feelings about the thermal environment. Current
methods of predicting thermal sensations were developed based on research on a group of healthy
people. Therefore, the use of these methods with patients should be verified. This paper aimed to
verify selected thermal comfort models in terms of their reliability to predict the average assessment
of thermal conditions in the patient rooms and the percentage of dissatisfied patients. Thermal
condition analyses were based on microclimate parameter measurements and extensive questionnaires
among patients, done in parallel in the hospital’s patient rooms. The research was carried out
in 23 hospitals located in the following provinces in Poland: (Warmi´ nsko-Mazurskie, Kujawsko-
Pomorskie, Mazowieckie, Wielkopolskie, Lódzkie,
´
Swi˛ etokrzyskie, Lubelskie and Dolno´ sl ˛ askie).
Overall, 890 patients from 14 different specialities participated in the research. Actual thermal
sensations of patients differed from predictions obtained from selected thermal comfort models. A
comparison of the actual thermal sensations with the PMV model indicates the shift of the comfort
curve towards cooler rather than neutral conditions. A comparison of the same to the adaptive model
predictions indicates that patients had a higher dissatisfaction rate and preferred cooler thermal
conditions than predicted. Research findings show that normative models are not fully reliable in
predicting patients’ thermal sensations.
Keywords: thermal comfort; thermal environment; hospital; patients
1. Introduction
The thermal environment is one of the internal environment elements that significantly
affects the health, productivity, and efficiency of employees, which has been proven in many
studies involving students or office workers [1–6]. Therefore, it can be assumed that in the
case of sick rooms, it is crucial that the thermal environment conditions ensure the comfort
of their users; however, all medical, technological, and sanitary-hygienic requirements must
be met at the same time. In the literature, the human perception of the thermal environment
is determined by three different methods, which can be described as physical, psychological,
and physiological. The first is based on models of physical phenomena occurring at the
boundary between humans and the external environment; the second uses the actual,
subjective perception of the thermal environment by humans expressed, for example, in the
so-called survey research; the third is based on measurements of physiological parameters
such as body temperature. Normative models of thermal comfort [7,8] use a physical
model that assumes that comfortable conditions in terms of thermal sensations are neutral
and are equivalent to the state of thermal comfort, which occurs if the body exchanges
a balance of heat with the external environment. The model [7] was developed based
on PMV (Predictive Mean Vote) and PPD (Predicted Percent of Dissatisfied) indices, the
determination of which requires registration of personal parameters (thermal insulation
of clothing, metabolic output) and thermal environment parameters (air temperature,
radiation temperature, relative humidity, and air velocity).
Energies 2022, 15, 3965. https://doi.org/10.3390/en15113965 https://www.mdpi.com/journal/energies