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Article

Development of a Simplified One-Dimensional Model of Humidity in the Cabin of a Passenger Aircraft Based on an Experiment

by
Tomasz Janusz Teleszewski
1 and
Katarzyna Gładyszewska-Fiedoruk
2,*
1
Faculty of Civil Engineering and Environmental Sciences, Department of HVAC Engineering, Bialystok University of Technology, Wiejska 45E, 15-351 Białystok, Poland
2
Institute of Environmental Engineering, Warsaw University of Life Sciences (SGGW), Nowoursynowska 166, 02-776 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Atmosphere 2025, 16(3), 280; https://doi.org/10.3390/atmos16030280
Submission received: 25 January 2025 / Revised: 18 February 2025 / Accepted: 24 February 2025 / Published: 26 February 2025
(This article belongs to the Special Issue The 15th Anniversary of Atmosphere)

Abstract

:
This publication presents the results of research on air humidity in the cabin of a passenger aircraft and develops a simplified model of absolute humidity during an aircraft flight as a function of time, number of passengers, aircraft cabin volume, number of air changes, moisture generated by passengers, initial air humidity, and supply air humidity. Based on the measurement results and the developed model, the humidity generated by a single passenger was estimated at 35 g/h, while the number of air changes in the aircraft cabin ranged from 10 L/h to 19 L/h. In order to increase the humidity in the aircraft cabin, it was proposed to modify the ventilation system by adding a humidifier chamber to the supply duct, a controller with the developed model implemented, and a humidity sensor in the aircraft cabin and the supply duct. The value of absolute humidity in the air supplied behind the humidifier chamber can be determined based on the presented algorithm. The developed model based on the humidity balance in the cabin of a passenger aircraft can be used in algorithms for automatic regulation of ventilation in passenger aircraft.

1. Introduction

Air humidity is an important air parameter that significantly affects the air quality and comfort in closed rooms [1,2,3,4,5,6,7]. Research results in publications [8,9] indicate that air humidity may have a significant impact on the transmission of diseases through the air. The cabin of a typical passenger plane is usually characterized by a small volume in relation to the number of people in the cabin, and passengers are usually in a sitting position; therefore, air humidity has a significant impact on the comfort of air travel. During a flight, there are specific conditions in the aircraft cabin, such as low pressure and low relative humidity [10,11,12,13,14], which cause a number of symptoms such as irritation of the eyes, nose, and throat [15]. Minimum relative humidity values most often occur during long-haul flights [16]. The increase in relative humidity in the aircraft cabin can be increased by greater air recirculation in the aircraft cabin, as humidity emissions caused by passengers become less diluted by the dry air outside [17].
Passenger aircraft cabins are the subject of many numerical studies. Mass and heat transfer modeling can be divided according to the space dimension criterion: one-dimensional, two-dimensional, and three-dimensional models. Three-dimensional models are based on numerical methods such as the finite element method or the finite volume element method, require complex spatial meshes, and are most often determined using commercial programs such as Ansys, Fluent or Comsol. The results of three-dimensional modeling in the cabin of a passenger aircraft are most often velocity fields [18,19,20,21,22,23,24], streamlines [19,20,21,22,23], temperature fields [18,19], vorticity distributions [21], pollutant distributions [25], and relative humidity fields [21]. Humidity in an aircraft cabin can be predicted using computer simulations [21]. The results of calculations of air parameters in the cabin of a passenger aircraft allow for modifications to the existing ventilation systems in the cabin of a passenger aircraft. In the publication [21], based on the results of calculations using Fluent software, a new type of ventilation was proposed, which allows to increase the relative humidity in the aircraft cabin. Three-dimensional models require complex spatial meshes and usually cannot be used in automatic control systems. Two-dimensional problems are not used to simulate air parameters due to the lack of axisymmetricity in the aircraft cabin geometry. One-dimensional models are used to determine average air parameters. There are few one-dimensional models in the literature intended for determining air humidity in the cabin of a passenger aircraft. In publication [10] a quite complicated model for determining relative humidity in the cabin of a passenger aircraft was developed, based on the steady-state conditions, which requires iterative calculations. In the model [10], the relative humidity inside the cabin was determined based on the rates of outside air and the carbon dioxide as a ventilation tracer.
In publication [7], the Monte Carlo method was used to assess thermal comfort and air quality in aircraft cabins based on selected publications. Based on statistical research on passenger aircraft flights [7], it was found that 99% of the statistical humidity level in the aircraft cabin is lower than the recommended relative humidity in buildings from 30% to 80% relative humidity.
Due to the small volume in passenger aircraft, in addition to the problem of humidity, there are also numerous pollutants in high concentrations, such as carbon dioxide [7,11], tetrachlorethylene (PCE) [26], and odor intensity [21,27].
The aim of this work is to conduct research and analyze air humidity in the cabin of a passenger aircraft and to develop a simplified model of air humidity based on the parameters of the supply air, the number of passengers, the cubic capacity of the aircraft cabin, the number of air changes, and moisture generated by passengers. The developed simplified model of absolute humidity can be implemented in controllers intended to regulate air humidity in the cabin of a passenger aircraft, e.g., by using humidification chambers to increase air humidity. It should be noted that the air in the cabins of passenger aircraft is characterized by too-low relative humidity.
The following sections discuss the rest of this publication. Section 2 describes in detail the basic aircraft flight data for fourteen measurement series and the methods of measuring air parameters in the aircraft cabin. Section 3 presents the measurement results, the assessment of the air quality in the aircraft cabin in terms of air temperature and humidity, and a discussion of these results. In the next section, a one-dimensional model of absolute humidity in the cabin of a passenger aircraft was developed. The last part presents the conclusions of this work.

2. Materials and Methods

According to the technical documentation of the Boeing 737 passenger aircraft [28], 50% of the volume flow of air supplied during the flight is taken from outside and 50% of the volume flow is recirculated air, which is filtered by HEPA filters. Ventilation operates continuously during the flight. During the flight, external air is taken from the engine compressors in front of the combustion chamber [28] so that exhaust gases do not enter the aircraft cabin. It is assumed that the external air taken at cruising altitude is very clean and dry. Due to low pressure and low temperature (−37 °C), the external air at cruise altitude is compressed and the temperature is raised to the required value. The air in the aircraft cabin is blown through vents in the ceiling of the aircraft cabin (Figure 1) and through additional supply vents with the possibility of adjusting the flow of air supplied individually by individual passengers (an example vent marked with a red circle in Figure 1). Air is removed from the aircraft cabin through exhaust vents located in the lower part of the cabin.
Measurements of relative air humidity and temperature were made using Testo type 175H1 recorders. Measurements were taken in the front and center of the aircraft. The sensor was located on the side wall of the cabin. Temperature and humidity sensors were located on the side wall of the cabin, similarly to the publication [10]. The measurement range and accuracy of the temperature of the Testo recorder is 20 to +55 °C ± 0.4 °C, while in the case of relative humidity the measurement accuracy is ±2%RH (2 to 98%RH). The measurement of relative humidity and temperature of the air supplied from the diffuser was performed every 5 min by applying a sleeve with a diameter of 30 mm and a height of 50 mm with a centrally mounted humidity and temperature sensor to the diffuser marked with a red line in Figure 1. To measure the temperature and humidity of the air supplied to the cabin of a passenger aircraft, a measuring sleeve from Testo [29] was used, in which a temperature- and humidity-measuring probe was placed and connected to the Testo 435 recorder.
It should be noted that during an airplane flight it is not possible to measure the parameters of the air supplied inside the ventilation ducts. To measure absolute pressure, a Testo 435 recorder with an absolute pressure probe with an accuracy of ±3 hPa was used. Before carrying out the tests, the sensors were calibrated by an external calibration laboratory.
Fourteen measurement series of flights were tested during the research. The stages of travel on an airplane have been divided into three periods: the first period is the time from boarding the plane to the moment the plane takes off (the time spent on the plane before the plane takes off), the second period is the flight time, and the third period is the time from the moment the plane lands on the airport runway to passengers exiting. Table 1 contains basic data of airplane flights for fourteen measurement series: plane model, flight date, route length, time spent on the plane, time spent on the plane divided into periods, and the number of passengers. The length of the flight route was determined based on data from the FlightAware website [30]. Figure 2 shows the relationship between the total time spent on the plane and the duration of the flight depending on the route length (Table 1).

3. Results and Discussion

In order to assess the air quality inside the cabin of a passenger aircraft in terms of temperature and air humidity, the measurement results were averaged. Table 2 shows the average temperatures and relative humidity for fourteen measurement series for the periods before the plane takes off, during the flight, after landing, and during the entire stay of passengers on the plane. Arithmetic mean value relative humidity and temperature from all measurement series were 22.76% and 26.18 °C, respectively. The average temperature values before the flight, during the flight, and after landing are similar and are approximately 26 °C. In the case of relative humidity, the lowest average values occur during the flight (17.75%), while the highest relative humidity values were observed in the period before the plane took off (36.17%). The lowest relative humidity extremes and the highest relative humidity extremes were 7.3% and 68%, respectively. In the study [14], the average value of relative humidity was determined to be 27.38% based on 25 flights, similar to the average value of relative humidity during the flight from this work, which was 26.18%.
Figure 3 shows a comparison of the minimum, average, and maximum relative humidity values from fourteen measurement series with the test results in publications [7,10,11]. Differences between the relative humidity results of this work and publications [7,10,11] may result from tests carried out for different types of aircraft and different numbers of passengers. In the paper [10] measurements were made in an Airbus A319 aircraft, in the publication [11] the subjects of research were Airbus 319, 320, and 321 aircraft, while in the publication [7] statistical tests were performed for various types of aircraft from 273 flights.
Airplane flight is characterized by low atmospheric pressure inside the cabin of a passenger plane [11,14]. The average absolute pressure values for measurement series 1–14 during the airplane flight were, respectively, the following: 790.81 hPa, 782.23 hPa, 827.99 hPa, 832.88 hPa, 835.53 hPa, 839.69 hPa, 807.34 hPa, 827.64 hPa, 789.88 hPa, 796.49 hPa, 823.37 hPa, 838.41 hPa, 812.55 hPa, and 814.12 hPa.
Figure 4 presents the relationship between the average temperature and relative humidity in the cabin of a passenger aircraft during the flight depending on the number of passengers. The average temperature in the aircraft cabin for fourteen measurement series ranged from 24.55 °C to 26.98 °C and was poorly correlated with the number of passengers (R2 = 0.0014). In the case of relative humidity, which for fourteen measurement series during the flight ranged from 11.9% to 26.46%, an average correlation (R2 = 0.432) with the number of passengers can be observed.
The psychometric chart (Figure 5) generated using the program [31] shows the average values of temperatures and relative humidity in the aircraft cabin for all measurement series. The marked green area is the comfort zone according to ASHRAE [1]. The following assumptions were made to calculate the comfort field: average air speed equal to 0.1 m/s; clothing: trousers, business shirt, shoes (0.65 clo); seated position of passengers with little activity (1.40 m); and mean radiant temperature equal to 25.6 °C. The arithmetic mean value of absolute pressure from all flights (series 1–14) was assumed for calculations, equal to 815.64 hPa. All points of the average temperature and relative humidity values of measurement series 1–14 are located outside the comfort zone.
In publication [32], based on the combination of temperature and relative humidity in rooms where people stay, the air was categorized into “Good”, “Intermediate”, and “Bad”. The air quality assessment based on the literature [32] is presented in Table 3. From the point of view of this categorization and average temperatures and relative humidity, the most frequently occurring assessment was the “Intermediate” assessment. The “Bad” rating appeared in measurement series no. 2 and 9 during the period when passengers were in the aircraft cabin before take-off and in measurement series 4 and 6 after the plane landed. The reasons for the “Bad” ratings were too high a temperature in relation to the relative humidity (series 2, 4, and 6) and too low a relative humidity in relation to the temperature (series 9).
It should be emphasized here that according to the literature [33], the minimum relative humidity for a temperature of 20 °C should not be less than 30%, while according to the design standard PN-EN 13779:2007 [34], in winter the recommended relative humidity should not be less than 40% for a room temperature of 26 °C. In the case of recommendations from the literature [33] and the PN-EN 13779:2007 standard [34], the air in the cabin of a passenger aircraft did not meet the above-mentioned conditions in most measurement series [33,34] due to too low relative air humidity. According to the publication [7], relative humidity below 20%, which is most often maintained during airplane flights [7], may lead to symptoms such as dry nose, throat, and eyes of passengers and crew.
Figure 6 shows an exemplary course of changes in the altitude of the aircraft (series 10) based on data from the website FlightAware [30] and the measured courses of temperature, relative humidity, and absolute humidity in the aircraft cabin at the same time. Changes in air humidity trends in the aircraft cabin can be divided into several stages. The first characteristic trend of humidity changes starts from the moment of entering the plane and ends until the ventilation volume flow increases (stage 0–1 marked in Table 2). This period of several minutes (0–1, Figure 6) is characterized by an increase in relative and absolute humidity. Determining the value of humidity generated by a single passenger during this period is complicated because the physical activity of passengers is complex and involves taking seats and storing luggage in lockers. During this period, the doors to the plane are open. The second distinguishing stage is the period from increasing the ventilation volume flow to the start of taxiing of the aircraft and reducing the ventilation volume flow (1–2, Figure 6). In the second period, a decrease in air humidity can be noticed, which is related to the nominal ventilation operation. The third stage (2–3, Figure 6) is the period during aircraft take-off from reducing the ventilation volume flow to increasing the ventilation volume flow. In the third stage, reducing the ventilation volume flow causes an increase in the air humidity content. The fourth period (3–4, Figure 6) is the time of take-off of the plane and the simultaneous increase in the ventilation volume flow, which causes a decrease in air humidity in the aircraft cabin. The fifth period (4–5, Figure 6) is the time of climb and flight of the aircraft at a constant flight altitude. In the fifth period, a decrease in relative and absolute humidity can be observed, followed by a period of stabilization of the moisture content in the air. During this time, passengers sleep or perform minor physical activity, such as reading a book or eating a meal. The humidity generated by an individual person can be assumed based on data from sleeping and minor physical activity. When increasing the altitude of the aircraft, fluctuations in relative humidity can be noticed, which are caused by the variable humidity outside the aircraft occurring at an altitude of up to one kilometer [35]. The sixth period (5–6, Figure 6) is the time from the moment the plane lowers its altitude to the moment the plane lands and stops at the airport. When the aircraft stops, the value of the ventilation volume flow decreases or the ventilation is completely turned off, which causes an increase in the moisture content in the aircraft cabin. The seventh period (6–7, Figure 6) is the time interval from the moment the plane stops until the passengers leave the plane. Due to the high activity of passengers (getting up from their seats and taking their luggage from the shelves) and reducing or turning off the ventilation, a significant increase in humidity in the aircraft cabin can be observed in the sixth period.

4. Modeling Humidity in the Cabin of a Passenger Plane

The developed one-dimensional model of absolute humidity in the cabin of a passenger plane is designed for the period from the plane’s take-off to the moment of landing (period 4–5 in Figure 6). In the case of the period of passengers staying in the aircraft cabin before take-off and after landing, determining the boundary conditions is difficult due to the complicated activity of passengers during this time. The humidity model in the aircraft cabin is based on the moisture balance, which takes into account the humidity generated by passengers Qg [g/h] and the humidity supplied from the supply air system or discharged through the exhaust ventilation Qn [g/h]:
V d ω d t = Q n + Q g ,
where ω [g/m3] is the absolute humidity in the cabin of a passenger aircraft, t [h] is time, and V [m3] is the volume of the cabin of a passenger aircraft. For the calculations, the volume of the passenger aircraft cabin was assumed to be 203 m3, in accordance with the Boeing documentation [36].
Humidity supplied from the supply ventilation or removed from the aircraft cabin by the exhaust ventilation systems is described by the following formula:
Q n = n V ( ω supply ω i ) ,
where ωa [g/m3] is the absolute humidity supplied from the supply air installation, ωi [g/m3] is the absolute humidity inside the aircraft cabin, and n is the number of air changes in the cabin of a passenger aircraft.
The absolute humidity supplied from the supply installation was determined based on humidity measurements from the supply vent, then the results were interpolated with the following rational function (Figure 7):
ω supply = a + b t + c t 2 d + e t + f t 2 + g t 3 ,
where t [min] is the time, and a, b, c, d, e, f, and g are the coefficients of Equation (3), which are presented in Table 4. Figure 7 shows the results of absolute humidity measurements at the outlet air vent from the moment the plane takes off and a formula interpolating the obtained test results. The Pearson coefficient is R2 = 0.863. It should be noted here that the interpolation formula, Equation (3), was developed on the basis of relative humidity measurements from the air vent during 14 airplane flights. In subsequent studies, this formula will be verified, also for other types of aircraft and flight routes. The practical determination of supply air humidity is quite complicated, which was also noted in publication [10]. The moisture content in the supply air depends on the parameters of the outdoor air and the degree of supply air recirculation. The absolute humidity of the external air depends on weather conditions and the altitude of the aircraft [37]. In the HVAC guidelines [37] for aircraft, there is a graph of the dependence of external air humidity on the altitude of the aircraft and it can be used to design ventilation installations in the aircraft. Determining the aircraft’s altitude is difficult because measuring the aircraft’s altitude during the experiment is not possible for flight safety reasons. Due to the impossibility of measuring the altitude of the aircraft during the flight, it was decided to develop an interpolation formula, Equation (3), for the supply air humidity as a function of flight time. The results of measuring the absolute humidity of the air supplied to the cabin of a passenger aircraft may be useful for correcting the humidity of the air supplied in real time by automatic control systems of the ventilation installation in the event of too low or too high a value of air humidity in the aircraft cabin.
Humidity generated by passengers in the aircraft cabin is described by the following relationship:
Q g = m q g ,
where qg [g/(h × person)] is the humidity emitted by a single airplane passenger. The amount generated by a single passenger depends primarily on the passenger’s physical activity. During an airplane flight, passengers are in a seated position and their main activity is sleeping, eating meals, reading books, or using applications on smartphones or tablets. Based on the literature [38,39,40], light activity and sleeping were assumed, where the estimated humidity emitted by a single person was 35 g/h.
After taking into account the dependencies of Equations (2) and (4) in Equation (1), and then integrating Equation (1), the following model of absolute humidity in the cabin of a passenger plane was obtained:
ω i n s i d e = ω supply + m q g n V + ω t = 0 ω supply m q g n V e n t ,
where ωt = 0 is the initial absolute humidity at the moment of take-off, adopted on the basis of the experiment, and presented in Table 3 for individual measurement series.
Figure 8, Figure 9, Figure 10 and Figure 11 present a graphical comparison of the results of absolute humidity determined from Equation (5) with experimental results for fourteen measurement series. The relative error of Equation (5) was determined from the following relationship [41]:
δ ω i n s i d e = ω exp ω i n s i d e ω exp 100 % ,
where ωexp are the values of absolute humidity from the experiment, while ωinside is the absolute humidity determined from Equation (5). The average relative error of Equation (5) determined according to Equation (6) for individual measurement series is presented in Table 5.
According to the recommendations [42] of Boeing experts, the recommended number of air changes in the cabin of a passenger aircraft ranges from 10 to 20 L/h. This condition was met in all measurement series (Table 5). The minimum number of air changes was 10 L/h, and the maximum was 19 L/h.
The developed Equation (5) of absolute humidity can be used to regulate air humidity in the aircraft cabin in automatic air ventilation controllers. The intake of dry air from outside during a flight is associated with a decrease in air humidity in the aircraft cabin and most often occurs when the aircraft reaches cruise altitude. The problem of too-low air humidity in passenger aircraft cabins was reported in many publications [10,11,12,13,14], which was also confirmed in this work. One way to increase humidity may be to use a chamber to humidify the air supplied to the aircraft cabin, which can be mounted on the supply system (Figure 12). The purpose of the humidification chamber is to increase the supply humidity ωsupply in the supplied air, which will increase the humidity ωinside inside the passenger aircraft cabin. The humidification chamber is controlled by the regulator (Figure 12), in which Equation (5) is implemented.
The value of the required absolute humidity ωsupply of the supply air ωsupply can be determined directly from the transformed Equation (5):
ω supply = ω i n s i d e m q g n V ω t = 0 m q g n V e n t 1 e n t
where ωinside is the absolute air humidity read from the humidity sensor mounted inside the aircraft cabin (Figure 12). Absolute air humidity sensors inside the cabin can be installed in the locations presented in the publication [20]. If the air humidity ωinside in the cabin read from the air humidity sensor mounted on the cabin wall is too low, the controller determines, based on Equation (7), the required absolute humidity ωsupply of the supply air, which is achieved by switching on the humidification chamber (Figure 12). Humidity ωsupply is controlled using a humidity sensor installed in the supply duct behind the humidification chamber. In order to reduce the humidity ωinside in the aircraft cabin, the humidification chamber is turned off and the volume flow of dry external air in the mixing chamber increases.

5. Conclusions

The results of research on air humidity in the cabin of a passenger plane indicate three characteristic periods of people staying in the cabin of a passenger plane during air travel. The first period from the moment of boarding the plane to the moment of take-off is characterized by a large fluctuation in relative humidity, which is mainly due to the large variability of the physical activity of passengers. In the second period, from the moment the plane takes off to the moment the plane lands, the value of relative humidity depends on the altitude of the plane. The relative humidity in the cabin of a passenger plane stabilizes when the plane reaches its full cruising altitude. In the third period, from the moment the plane lands until the passengers leave the aircraft cabin, the relative humidity increases rapidly, which is associated with increased physical activity and a reduction in the volume flow of supply ventilation.
Based on the research conducted and the developed model of air humidity in the cabin of a passenger aircraft, it can be assumed that the average value of humidity generated by a single passenger is 35 g/h. The number of air changes in the cabin of a passenger aircraft for fourteen measurement series ranged from 10 to 19 L/h.
During an airplane flight, the relative humidity is low (below 30%), which also confirms the relative humidity results from previous known studies in the literature. In this work, a simplified model of absolute air humidity in the cabin of a passenger aircraft was developed, which can be used to regulate air humidity in the aircraft using an air humidification chamber installed in the supply duct. The proposed ventilation scheme in an airplane with a humidification chamber, together with the developed model, may contribute to increasing the humidity in the airplane cabin and thus increasing the comfort of air travel.
Due to the lack of technical possibilities to measure external air parameters during the flight, external air humidity was not included in the model. In subsequent studies, it is planned to measure or determine the outdoor air humidity and introduce this parameter into the model.

Author Contributions

Conceptualization, T.J.T. methodology, T.J.T.; software, T.J.T.; validation, T.J.T.; formal analysis, K.G.-F.; investigation, T.J.T.; resources, K.G.-F.; writing—original draft preparation, T.J.T.; writing—review and editing, T.J.T.; visualization, T.J.T.; supervision, T.J.T.; project administration, K.G.-F. All authors have read and agreed to the published version of the manuscript.

Funding

The study has been executed with resources of the statutory work financed by the Ministry of Science and Higher Education in Poland (WZ/WB-IIŚ/8/2023 and Institute of Environmental Engineering, Warsaw University of Life Sciences (SGGW)).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data generated and analyzed during this study are available on request from the corresponding authors. The data are not publicly available due to ongoing research and analysis.

Conflicts of Interest

The authors declare no conflicts of interest.

Nomenclature

mnumber of passengers in the cabin of a passenger plane (person)
nair change rate m (h−1)
qginternal moisture generated by an aircraft passenger (g/(h × person))
Qgthe internal sum of moisture emitted by all passengers in an airliner (g/h)
Qnmoisture added or removed by mechanical ventilation (g/h)
Tavgaverage temperature in the cabin of a passenger plane (°C)
ttime (min) or (h)
Vpassenger aircraft cabin volume (m3)
Greek symbols
ϕavgaverage relative humidity in the cabin of a passenger plane (%)
ωinsideinternal absolute humidity in the cabin of a passenger aircraft determined using Equation (5)
ωsupplyabsolute humidity of the air supplied from the supply ventilation (g/m3)
ωt=0initial value of absolute humidity in the cabin of a passenger aircraft at the moment of take-off (g/m3)

References

  1. ASHRAE Standard 55, Rev. 2017; Thermal Environmental Conditions for Human Occupancy. ASHRAE Standard: Peachtree Corners, GA, USA, 2017.
  2. Dumała, S.M.; Guz, Ł.; Badora, A. Indoor Air Quality in Schools Located in Poland, Lublin Province. J. Ecol. Eng. 2024, 25, 17–26. [Google Scholar] [CrossRef] [PubMed]
  3. Yang, Z.; Gao, W.; Yang, D.; Hu, X.; Xu, T. Impact of Air Velocity on Mold Growth in High Temperature and Humidity Condi-tions: An Experimental Approach. Buildings 2024, 14, 2145. [Google Scholar] [CrossRef]
  4. Shevchenko, O.; Sulzer, M.; Christen, A.; Matzarakis, A. Coupling Indoor and Outdoor Heat Stress During the Hot Summer of 2022: A Case Study of Freiburg, Germany. Atmosphere 2025, 16, 167. [Google Scholar] [CrossRef]
  5. Luque, J.M.M.; Jiménez, J.L.S.; Ruiz de Adana, M. Spatial and Temporal Distribution of CO2 and Thermal Comfort Conditions in a Day Care Center. Atmosphere 2024, 15, 1500. [Google Scholar] [CrossRef]
  6. Priyadarshani, S.; Rao, R.R.; Mani, M.; Maskell, D. Examining Occupant-Comfort Responses to Indoor Humidity Ratio in Con-ventional and Vernacular Dwellings: A Rural Indian Case Study. Energies 2023, 16, 6843. [Google Scholar] [CrossRef]
  7. Wang, S.; Cao, X.; Miao, D.; Pang, L.; Li, J. A Review of In-Flight Thermal Comfort and Air Quality Status in Civil Aircraft Cabin Environments. Buildings 2024, 14, 2001. [Google Scholar] [CrossRef]
  8. Sterling, E.M.; Arundel, A.; Sterling, T.D. Criteria for Human Exposure to Humidity in Occupied Buildings. Ashrae Trans. 1985, 91, 611–622. [Google Scholar]
  9. Yang, W.; Elankumaran, S.; Marr, L.C. Relationship between Humidity and Influenza A Viability in Droplets and Implications for Influenza’s Seasonality. PLoS ONE 2012, 7, e46789. [Google Scholar] [CrossRef] [PubMed]
  10. Giaconia, C.; Orioli, A.; Di Gangi, A. Air quality and relative humidity in commercial aircrafts: An experimental investigation on short-haul domestic flights. Build. Environ. 2013, 67, 69–81. [Google Scholar] [CrossRef]
  11. Yu, N.; Zhang, Y.; Zhang, M.; Li, H. Thermal Condition and Air Quality Investigation in Commercial Airliner Cabins. Sustainability 2021, 13, 7047. [Google Scholar] [CrossRef]
  12. Gładyszewska-Fiedoruk, K. Indoor Air Quality in the Cabin of an Airliner. J. Air Transp. Manag. 2012, 20, 28–30. [Google Scholar] [CrossRef]
  13. Haghighat, F.; Allard, F.; Megri, A.C.; Blondeau, P.; Shimotakahara, R. Masurement of thermal comfort and indoor air quality aboard 43 flights on commercial airlines. Indoor Built Environ. 1999, 8, 58–66. [Google Scholar] [CrossRef]
  14. da Silva, M.C.G.; Broday, E.E.; Ruivo, C.R. Indoor Climate Quality Assessment in civil aircraft cabins: A field study. Therm. Sci. Eng. Prog. 2023, 37, 101581. [Google Scholar] [CrossRef]
  15. Chen, Q.; Jones, B.W.; Loo, S.M.; Nazaroff, W.W.; Overfelt, R.A.; Weisel, C.P.; Weschler, C.J. Report to the FAA on the Airliner Cabin Environment. Report No. RITE-ACERCoE-2010-1. National Air Transportation Center of Excellence for Research in the Intermodal Transport Environment (RITE)—Airliner Cabin Environmental Research (ACER) Program. 2010. Available online: https://www.faa.gov/sites/faa.gov/files/data_research/research/med_humanfacs/cer/AirlinerCabinEnvironmentReport.pdf (accessed on 3 May 2023).
  16. Lee, S.; Poon, C.; Li, X.; Luk, F. Indoor air quality investigation on commercial aircraft. Indoor Air 1999, 9, 180–187. [Google Scholar] [CrossRef] [PubMed]
  17. Norrefeldt, V.; Mayer, F.; Herbig, B.; Ströhlein, R.; Wargocki, P.; Lei, F. Effect of Increased Cabin Recirculation Airflow Fraction on Relative Humidity, CO2 and TVOC. Aerospace 2021, 8, 15. [Google Scholar] [CrossRef]
  18. Yu, Z.; Xiao, G.; Zhang, C.; Gui, Y.; Du, Y. Numerical Study of Air Distribution and Evolution Characteristics in Airliner Cabin. Processes 2022, 10, 2621. [Google Scholar] [CrossRef]
  19. Wang, C.; Zhang, J.; Chao, J.; Yang, C.; Chen, H. Evaluation of dynamic airflow structures in a single-aisle aircraft cabin mockup based on numerical simulation. Indoor Built Environ. 2022, 31, 398–413. [Google Scholar] [CrossRef]
  20. Zhang, T.; Chen, Q.Y.; Lin, C.H. Optimal Sensor Placement for Airborne Contaminant Detection in an Aircraft Cabin. HVACR Res. 2007, 13, 683–696. [Google Scholar] [CrossRef]
  21. Zhang, T.; Yin, S.; Wang, S. An under-aisle air distribution system facilitating humidification of commercial aircraft cabins. Build. Environ. 2010, 45, 907–915. [Google Scholar] [CrossRef]
  22. Danca, P.; Coşoiu, C.I.; Nastase, I.; Bode, F.; Georgescu, M.R. Personalized Ventilation as a Possible Strategy for Reducing Airborne Infectious Disease Transmission on Commercial Aircraft. Appl. Sci. 2022, 12, 2088. [Google Scholar] [CrossRef]
  23. Khader, S.M.A.; Corda, J.V.; Mathias, K.A.; Shenoy, G.; bin Ahmad, K.A.; Barboza, A.V.; Kamath, S.G.; Zuber, M. Study of Ven-tilation Strategies in a Passenger Aircraft Cabin Using Numerical Simulation. Computation 2025, 13, 1. [Google Scholar] [CrossRef]
  24. Zhang, T.; Fan, M.; Liu, S. Impact of Seat Inclination and Misalignment on Airborne Pollutant Transport in a Single-Aisle Aircraft Cabin. Appl. Sci. 2022, 12, 4538. [Google Scholar] [CrossRef]
  25. Kong, B.; Zou, Y.; Cheng, M.; Shi, H.; Jiang, Y. Droplets Transmission Mechanism in a Commercial Wide-Body Aircraft Cabin. Appl. Sci. 2022, 12, 4889. [Google Scholar] [CrossRef]
  26. Dong, X.; Yin, Y.; Pei, J.; Qu, M. Concentrations and Source Apportionment of Tetrachloroethylene (PCE) in Aircraft Cabins. Sustainability 2025, 17, 909. [Google Scholar] [CrossRef]
  27. Yin, Y.; Zhao, L.; You, R.; Pei, J.; Li, H.; He, J.; Sun, Y.; Yang, X.; Chen, Q. Prediction of air quality perception in aircraft cabin based on psychophysical model and artificial neural network (ANN)-based model. Indoor Environ. 2024, 1, 100044. [Google Scholar] [CrossRef]
  28. Boeing, A. Aviation Experts Resource Room, Cabin Air Contaminants, Cabin Air & Bleed Air Contaminants. Available online: https://787updates.newairplane.com/getmedia/0a6b6209-6b19-4dce-9afb-81ba391102de/Cabin-Air-Contaminants-Boeing-backgrounder (accessed on 3 May 2023).
  29. Testo. Available online: https://www.testo.com/en-US/testovent-415/p/0554-0415 (accessed on 17 November 2023).
  30. FlightAware. Available online: www.flightaware.com (accessed on 17 November 2023).
  31. Psychrometric Chart. Available online: https://drajmarsh.bitbucket.io/psychro-chart2d.html (accessed on 3 May 2023).
  32. Szczurek, A.; Maciejewska, M. Categorisation for air quality assessment in car cabin. Transp. Res. D Transp. Environ. 2016, 48, 161–170. [Google Scholar] [CrossRef]
  33. Recknagel, H.; Sprenger, E.; Schramek, E.R. Taschenbuch für Heizung + Klimatechnik 07/08: Taschenbuch für Heizung + Klimatechnik; Oldenbourg Industrieverlag: Munich, Germany, 2007. [Google Scholar]
  34. PN-EN 13779:2007; Ventilation for non-residential buildings. Performance requirements for ventilation and room-conditioning systems. Polish Committee for Standardization: Warsaw, Poland, 2007.
  35. Barrera-Verdejo, M.; Crewell, S.; Löhnert, U.; Orlandi, E.; Girolamo, P. Ground Based Lidar and Microwave Radiometry Synergy for High Vertical Resolution Absolute Humidity Profiling. Atmos. Meas. Tech. 2016, 9, 1–29. [Google Scholar] [CrossRef]
  36. Boeing, B. Available online: https://www.businessairnews.com/hb_aircraftpage.html?recnum=B737 (accessed on 19 January 2023).
  37. ASHRAE Handbook—Heating, Ventilating, and Air-Conditioning Applications; American Society of Heating, Refrigerating and Air-Conditioning Engineers: Atlanta, GA, USA, 2019.
  38. Christian, J.E. A Search for Moisture Sources. In Proceedings for Bugs, Mold and Rot II—A Workshop on Control of Humidity for Health, Artifacts and Buildings; Building Environment and Thermal Envelope Council and ORNL: Washington, DC, USA, 1993. [Google Scholar]
  39. Johansson, P.; Pallin, S.; Shahriari, M. Risk Assessment Model Applied on Building Physics: Statistical Data Acquisition and Stochastic Modeling of Indoor Moisture Supply in Swedish Multi-family Dwellings. In Proceedings of the IEA Annex 55 RAP-RETRO, Copenhagen, Denmark, 25–27 October 2010. [Google Scholar]
  40. Zemitis, J.; Borodinecs, A.; Frolova, M. Measurements of moisture production caused by various sources. Energy Build. 2016, 127, 884–891. [Google Scholar] [CrossRef]
  41. Weremijewicz, K.; Gajewski, A. Measurement Uncertainty Estimation for Laser Doppler Anemometer. Energies 2021, 14, 3847. [Google Scholar] [CrossRef]
  42. Boeing C, Aviation Experts Resource Room, Cabin Air Contaminants, Air Change Rates in Planes, Trains and Buildings. Available online: https://787updates.newairplane.com/Aviation-Experts (accessed on 3 May 2023).
Figure 1. Air vents located in the ceiling of the aircraft cabin. The location of measurement of supply air parameters using the Testo recorder is marked in red.
Figure 1. Air vents located in the ceiling of the aircraft cabin. The location of measurement of supply air parameters using the Testo recorder is marked in red.
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Figure 2. Dependence of the total time t spent on the plane and the duration of the flight depending on the length L of the passenger plane route for fourteen measurement series.
Figure 2. Dependence of the total time t spent on the plane and the duration of the flight depending on the length L of the passenger plane route for fourteen measurement series.
Atmosphere 16 00280 g002
Figure 3. Comparison of minimum, average, and maximum values of relative humidity ϕ in the cabin of a passenger aircraft with the literature [7,10,11].
Figure 3. Comparison of minimum, average, and maximum values of relative humidity ϕ in the cabin of a passenger aircraft with the literature [7,10,11].
Atmosphere 16 00280 g003
Figure 4. Dependence of the average temperature Tavg and average relative humidity ϕavg during the flight as a function of the number of passengers m.
Figure 4. Dependence of the average temperature Tavg and average relative humidity ϕavg during the flight as a function of the number of passengers m.
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Figure 5. Psychometric chart with marked points of average temperatures and relative humidity for all measurement series along with the designated comfort area according to ASHRAE [1], generated using the program [31].
Figure 5. Psychometric chart with marked points of average temperatures and relative humidity for all measurement series along with the designated comfort area according to ASHRAE [1], generated using the program [31].
Atmosphere 16 00280 g005
Figure 6. An example of the course of changes in the altitude h of the aircraft (series 10) based on data from FlightAware [30] and the measured courses of temperature T, relative ϕ humidity, and absolute ω humidity in the aircraft cabin.
Figure 6. An example of the course of changes in the altitude h of the aircraft (series 10) based on data from FlightAware [30] and the measured courses of temperature T, relative ϕ humidity, and absolute ω humidity in the aircraft cabin.
Atmosphere 16 00280 g006
Figure 7. Absolute humidity ω in the supply air vent as a function of flight time t (fifth period 4–5).
Figure 7. Absolute humidity ω in the supply air vent as a function of flight time t (fifth period 4–5).
Atmosphere 16 00280 g007
Figure 8. Absolute humidity ω as a function of time t in the airplane cabin from the moment of take-off to the moment of landing for measurement series no. 1, 11, and 12—comparison with the developed humidity model.
Figure 8. Absolute humidity ω as a function of time t in the airplane cabin from the moment of take-off to the moment of landing for measurement series no. 1, 11, and 12—comparison with the developed humidity model.
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Figure 9. Absolute humidity ω as a function of time t in the airplane cabin from the moment of take-off to the moment of landing for measurement series no. 2, 3, 10, and 14—comparison with the developed humidity model.
Figure 9. Absolute humidity ω as a function of time t in the airplane cabin from the moment of take-off to the moment of landing for measurement series no. 2, 3, 10, and 14—comparison with the developed humidity model.
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Figure 10. Absolute humidity ω as a function of time t in the airplane cabin from the moment of take-off to the moment of landing for measurement series no. 4, 6, and 7—comparison with the developed humidity model.
Figure 10. Absolute humidity ω as a function of time t in the airplane cabin from the moment of take-off to the moment of landing for measurement series no. 4, 6, and 7—comparison with the developed humidity model.
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Figure 11. Absolute humidity ω as a function of time t in the airplane cabin from the moment of take-off to the moment of landing for measurement series no. 5, 8, 9, and 13—comparison with the developed humidity model.
Figure 11. Absolute humidity ω as a function of time t in the airplane cabin from the moment of take-off to the moment of landing for measurement series no. 5, 8, 9, and 13—comparison with the developed humidity model.
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Figure 12. An example of a cross-sectional diagram of a passenger aircraft cabin of a technical solution for increasing air humidity by using an air humidification chamber.
Figure 12. An example of a cross-sectional diagram of a passenger aircraft cabin of a technical solution for increasing air humidity by using an air humidification chamber.
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Table 1. Basic data of airplane flights for fourteen measurement series: plane mode, route length, time spent on the plane, time spent on the plane divided into periods, number of passengers.
Table 1. Basic data of airplane flights for fourteen measurement series: plane mode, route length, time spent on the plane, time spent on the plane divided into periods, number of passengers.
No. SeriesAir RoutePlane ModelDateRoute LengthTime Spent in the PlaneTime Spent in the Plane Before the FlightFlight TimeTime Spent in the Plane After LandingNumber of Passengers
m
----kmminminminmin-
S1Modlin–MálagaBoeing 737-800Nov. 202126332341021212180
S2Malaga–ModlinBoeing 737-800Nov. 202128402604020911171
S3Modlin–CataniaBoeing 737-800Mar. 20221804175251446166
S4Catania–ModlinBoeing 737-800Mar. 202217952023914617150
S5Modlin–BolognaBoeing 737-800May 20221195133309310160
S6Bologna–ModlinBoeing 737-800May 20221174144341019181
S7Warsaw–KosBoeing 737-800Jul. 20221978188281573158
S8Kos–WarsawBoeing 737-800Aug. 20221839192411438170
S9Modlin–AlicanteBoeing 737-800Nov. 20222358226261946185
S10Alicante–ModlinBoeing 737-800Nov. 20222443245272144179
S11Modlin–BoloniaBoeing 737-800Dec. 20221195134261035133
S12Bolonia–ModlinBoeing 737-800Dec. 20221196130191047169
S13Warsaw–ZahyntosBoeing 737 MAX 8Aug. 20221737173381305173
S14Zahyntos–WarsawBoeing 737 MAX 8Aug. 202216251934912519182
Table 2. Average temperatures and relative air humidity in the cabin of a passenger plane.
Table 2. Average temperatures and relative air humidity in the cabin of a passenger plane.
No. SeriesAverage Temperature in Airplane CabinAverage Relative Humidity in Airplane Cabin
Before the Plane Takes OffIn FlightAfter the Plane LandsDuring the Entire Stay in the Aircraft CabinBefore the Plane Takes OffIn FlightAfter the Plane LandsDuring the Entire Stay in the Aircraft Cabin
TavgTavgTavgTavgϕavgϕavgϕavgϕavg
-°C°C°C°C%%%%
S123.1026.5526.1026.4749.6017.0130.7018.94
S227.5425.9626.1025.9551.1415.9830.4223.57
S324.7326.4326.1026.2733.1914.2428.6717.42
S427.9726.9826.1027.2842.6115.9026.3421.91
S527.6725.2326.2025.8331.2914.1728.2918.68
S630.3626.7326.2027.7043.5220.1133.0426.40
S725.4826.6026.6026.4143.7316.7432.7021.00
S826.9724.5526.4025.0959.3719.8534.9328.87
S922.9526.5326.5026.1722.9517.1134.5222.75
S1026.5126.4026.5026.4426.5116.5030.8123.16
S1124.6725.8926.6025.6824.6711.9022.5716.49
S1225.3725.0326.6025.2825.3722.6330.0027.35
S1326.2125.2926.5025.5226.2119.8529.8225.63
S1425.9626.7526.6026.4125.9626.4137.5126.41
Average values
-26.1126.0726.3626.1836.1517.7430.7422.76
Table 3. Assessment of air quality based on a combination of average values of temperature and relative air humidity in the cabin of a passenger aircraft based on the literature [32].
Table 3. Assessment of air quality based on a combination of average values of temperature and relative air humidity in the cabin of a passenger aircraft based on the literature [32].
No. SeriesMeasurement Period
Before the Plane Takes OffIn FlightAfter the Plane LandsDuring the Entire Stay in the Aircraft Cabin
S1IntermediateIntermediateGoodIntermediate
S2BadIntermediateGoodIntermediate
S3GoodIntermediateIntermediateIntermediate
S4IntermediateIntermediateIntermediateBad
S5IntermediateIntermediateIntermediateIntermediate
S6IntermediateIntermediateGoodBad
S7GoodIntermediateGoodIntermediate
S8IntermediateIntermediateGoodIntermediate
S9BadIntermediateGoodIntermediate
S10IntermediateIntermediateGoodIntermediate
S11IntermediateIntermediateIntermediateIntermediate
S12IntermediateIntermediateIntermediateIntermediate
S13IntermediateIntermediateIntermediateIntermediate
S14IntermediateIntermediateGoodIntermediate
Average values
GoodIntermediateGoodIntermediate
Table 4. Coefficients of Equation (3).
Table 4. Coefficients of Equation (3).
abcdefg
6−0.130.00210.0020.0010.000003
Table 5. Initial value of absolute humidity at the moment of take-off, the determined number of air changes based on the developed model, and the average relative error of the model for individual measurement series.
Table 5. Initial value of absolute humidity at the moment of take-off, the determined number of air changes based on the developed model, and the average relative error of the model for individual measurement series.
No. SeriesThe Initial Value of Absolute Humidity at the Moment of Take-Off of the PlaneNumber of Air ChangesRelative Error of Absolute Humidity According to (6)
ωt = 0nδωinside
-g/m3L/h%
S19.84126.67
S211.48137.86
S37.62177.38
S49.85117.48
S58.91197.95
S612.75125.75
S79.28157.12
S812.62157.57
S911.64126.15
S1011.09135.84
S117.50156.20
S129.14102.63
S1311.03113.83
S148.71118.39
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Teleszewski, T.J.; Gładyszewska-Fiedoruk, K. Development of a Simplified One-Dimensional Model of Humidity in the Cabin of a Passenger Aircraft Based on an Experiment. Atmosphere 2025, 16, 280. https://doi.org/10.3390/atmos16030280

AMA Style

Teleszewski TJ, Gładyszewska-Fiedoruk K. Development of a Simplified One-Dimensional Model of Humidity in the Cabin of a Passenger Aircraft Based on an Experiment. Atmosphere. 2025; 16(3):280. https://doi.org/10.3390/atmos16030280

Chicago/Turabian Style

Teleszewski, Tomasz Janusz, and Katarzyna Gładyszewska-Fiedoruk. 2025. "Development of a Simplified One-Dimensional Model of Humidity in the Cabin of a Passenger Aircraft Based on an Experiment" Atmosphere 16, no. 3: 280. https://doi.org/10.3390/atmos16030280

APA Style

Teleszewski, T. J., & Gładyszewska-Fiedoruk, K. (2025). Development of a Simplified One-Dimensional Model of Humidity in the Cabin of a Passenger Aircraft Based on an Experiment. Atmosphere, 16(3), 280. https://doi.org/10.3390/atmos16030280

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