Next Article in Journal
Gamma Radiation Image Noise Prediction Method Based on Statistical Analysis and Random Walk
Next Article in Special Issue
New Methodology to Evaluate and Optimize Indoor Ventilation Based on Rapid Response Sensors
Previous Article in Journal
Multi-Modal Deep Learning for Assessing Surgeon Technical Skill
Previous Article in Special Issue
The Detection of Activities Occurring Inside Quick Service Restaurants That Influence Air Quality
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Investigation of Indoor Air Quality in Residential Buildings by Measuring CO2 Concentration and a Questionnaire Survey

Central Research Institute of Electric Power Industry, 2-6-1 Nagasaka, Yokosuka-shi 240-0196, Kanagawa, Japan
*
Author to whom correspondence should be addressed.
Submission received: 30 August 2022 / Revised: 15 September 2022 / Accepted: 19 September 2022 / Published: 27 September 2022
(This article belongs to the Special Issue Recent Trends in Air Quality Sensing)

Abstract

:
Indoor air quality (IAQ) in houses is often deteriorated by chemical substances emitted from heating, building materials, or other household goods. Since it is difficult for occupants to recognize air pollution, they rarely understand the actual conditions of the IAQ. An investigation into the actual condition of IAQ in houses was therefore conducted in this study. Carbon dioxide ( CO 2 ) concentrations in 24 occupied houses was measured, and the results from our analysis showed that the use of combustion heaters increased the concentration of CO 2 and led to indoor air pollution. Results indicate that as outdoor temperature decreased, the frequency of ventilation decreased simultaneously, and CO 2 concentration increased. Results of the questionnaire survey revealed that the actual IAQ in each house did not match the level of awareness its occupants had regarding ventilation. Along with this difficulty in perceiving air pollution, the lack of knowledge about ventilation systems and the effects of combustion heating may be additional barriers to IAQ awareness.

1. Introduction

This study investigates the actual indoor air quality (IAQ) in Japanese houses by measuring carbon dioxide ( CO 2 ) concentrations and using questionnaire surveys.
Modern people spend most of their day indoors [1,2]. The IAQ in residential buildings is often poor, polluted by chemical substances emitted from heating appliances, building materials, or other household goods. Bolstered by the increase in highly airtight houses, there have been rising concerns about the increased health risks to occupants due to exposure to indoor pollutants such as CO 2 , carbon monoxide (CO), nitrogen oxides ( NO x ), and volatile organic compounds (VOCs). Despite this concern, it has proven difficult for occupants to recognize air pollution, thus preventing them from understanding the actual IAQ conditions in their homes.
Ventilation is generally recommended to prevent IAQ deterioration. In Japan, the Building Standard Law was amended to require the installation of mechanical ventilation systems in all houses built after July 2003; however, this law only mandated the installation of ventilation equipment, and it is left to occupants to ensure that they are properly ventilating their homes. In addition, houses built before July 2003 were not considered for this mandatory ventilation installation. In Japan, roughly 26% of houses were estimated to have been built since 2003 relative to the total number of houses as of 2018 [3,4]. Multiple studies have reported that the amount of ventilation obtained by activities like opening windows decreases in the winter season [5,6], and there are concerns about the deterioration of air quality in highly airtight houses in recent years.
Another factor that causes air indoor pollution is the use of combustion heaters [7,8,9,10,11]. Combustion heating is recognized as a major source of CO 2 , sulfur dioxide ( SO 2 ), and NO x emissions [8,10,12], and exposure to these substances can cause sick building syndrome [13,14]. Gas and kerosene heaters still account for a large percentage of heating devices used in Japan [15,16,17], and the use of combustion heating has been reported to cause CO 2 concentrations to reach 4000–5000 ppm [9,10,11].
The CO 2 concentration is an indicator of the retention of harmful substances, as its concentration increases with inadequate ventilation in buildings [18,19,20,21,22]. Many countries have regulatory standards and guidelines to maintain CO 2 concentrations below a fixed level (around 1000 to 1500 ppm) within buildings such as offices, schools, and houses [18,22,23]. The CO 2 concentration also increases with human breathing; in addition to being an indicator of the retention of harmful substances, high concentrations are also known to increase the risk of respiratory diseases, impair thinking, and lower concentration [24,25,26,27]. It has also been reported that high concentrations of CO 2 can affect the quality of sleep as well as overall performance the next day [28].
From the studies mentioned above, it can be gathered that there are two major factors that lead to air pollution in houses: inadequate ventilation and the use of combustion heaters. It is also worth considering the influence of outdoor temperature, because several studies suggest that seasonal changes affect ventilation rates [5,6,29,30]. Another important aspect is the difficulty for occupants to recognize the deterioration of IAQ. If occupants are not aware of the conditions in their immediate environment, it will be difficult for them to take appropriate actions to maintain a healthy IAQ.
Existing studies on the direct measurement of ventilation rate involve fan pressurization [5,31,32,33] and tracer gas [6,13,29,30], which are extremely intrusive and require expensive instruments and experts. Non-intrusive approaches that can be measured easily and at a low cost are required for widely adopted residential IAQ monitoring. CO 2 concentration is therefore focused on because it is utilized as an indicator of IAQ and can be measured easily and at low cost.
In this study, a CO 2 -based investigation was conducted on the actual conditions of IAQ in Japanese houses, focusing on the following three aspects:
(i)
The relationship between combustion heating and indoor CO 2 concentration.
(ii)
The influence of outdoor temperature on indoor CO 2 concentration.
(iii)
The gap between occupants’ awareness of ventilation and the actual IAQ in their homes.
A CO 2 sensor kit, which is inexpensive and easy to handle, was developed in this study. The CO 2 concentration in houses was measured from autumn to winter, targeting houses with different housing attributes and heating methods. A questionnaire on occupants’ knowledge and awareness of indoor ventilation was also administered. Based on the results of these investigations, the influence of combustion heating, outdoor temperature, and occupants’ attitudes on the residential IAQ are discussed hereafter.

2. Background

2.1. CO 2 Concentration as an Indicator of IAQ

CO 2 concentration is widely utilized as a comprehensive indicator of air pollution in IAQ [18,19,20,21,22]. Table 1 summarizes the CO 2 concentration standards and guidelines for various countries [18,22,23]. In many countries, standards and guidelines are set at 1000–1500 ppm. In Canada, a 24 h average value is defined as the exposure time. Health Canada set its acceptable long-term exposure range to 3500 ppm in its 1987 report [34]; however, this standard was changed to 1000 ppm (24-h average) in 2021 [18]. In the United States, the standard is set at 700 ppm above the outdoor level [23]. Atmospheric CO 2 concentrations have continued to rise year after year, with a global average of 414.72 ppm as of 2021 [35]. In Japan, the Building Standard Law sets the CO 2 concentration standard at 1000 ppm for buildings within a certain area, while there are no standards or guidelines for residential buildings. In addition, no specific exposure times are determined in this law.
Indoors with high CO 2 concentrations tend to retain harmful substances such as VOCs and PM 2.5 , because of inadequate ventilation. The second major source of pollutants in residential buildings is the use of combustion heating appliances (typically in winters). There is a close relationship between the use of combustion heating and air quality, especially the CO 2 , CO, NO x , SO 2 , and VOCs concentration, as reported in several pre-existing studies [8,9,10,11]. Combustion heating with gas or kerosene is still the main heating method in Japan [15,16,17], and the WHO reports that these remain in use in some parts of the world [7].
Exposure to these harmful substances, due to a lack of ventilation, has been reported to increase the risk of various respiratory diseases [36,37,38,39]. For example, Sun et al. investigated the relationship between the amount of ventilation and sick building syndrome in Chinese homes [13].
Simultaneously, high CO 2 concentrations may have adverse effects of their own. As mentioned in Section 1 CO 2 concentration increases with human breathing as well as the use of combustion appliances, and high CO 2 concentrations are also known to increase the risk of respiratory diseases, impair thinking, and lower concentration, quality of sleep and overall performance the next day [24,25,26,27,28].

2.2. In-Home Sensing with IoT Sensors

Studies on residential monitoring have been increasing owing to the highly economical Internet of Things (IoT) sensors [40,41,42]. In-home sensing is mainly utilized for healthcare monitoring systems, which are collectively called ambient assisted living [43,44,45,46].
On-site real-time measurement of the ventilation rate can be replaced by the collection of CO 2 sensor data. As mentioned in Section 1, direct ventilation measurement is both intrusive and expensive, and is also difficult to measure for a long period of time in a large number of houses. Sensor-based approaches are therefore expected to alleviate the impact on research participants, while achieving cost-effective measurements. These advantages allow ventilation monitoring for larger numbers of houses over a longer period of time.
Existing studies on IAQ in houses, described in Section 2.1, focus on the CO 2 concentration as an air quality indicator and investigate its relationship with ventilation and combustion heating. However, comparisons among different heating appliances and the effects of seasonal variations are limited, and there are still unknowns in these areas. Existing studies [8,9,10,11] on combustion heating only investigated the impact of combustion, and did not compare it to homes without combustion heating (i.e., they had no controls in their study for comparison). Shinohara et al. observed the influence of the amount of ventilation in the house and seasonal variation, but argued that individual differences were much higher in Japan [6]. The following aspects are therefore necessary for a accurate investigation of the IAQ:
First, a survey must be conducted on the various patterns of indoor heating, in addition to houses using combustion heating. It is necessary to investigate air quality in a wide range of homes, including those that use only combustion heating, those that do not use combustion heating, and those that use multiple heating systems; this will clarify the relationship with the heating appliances used.
Second, the aforementioned investigation should not be limited to a short period of time, but should be conducted to consider seasonal changes such as in autumn and winter. There is a close relationship between awareness of ventilation and IAQ, which is greatly affected by outdoor temperature. For example, measuring the transition from autumn to winter would enable an investigation that is closer to the actual situation.

3. Experimental Design

3.1. Scope of the Investigation

The CO 2 concentration is investigated as an indicator closely related to IAQ, and actual measurement of the CO 2 concentration in houses was conducted for six months, i.e., from 1 October 2020, to 31 March 2021. Results of the questionnaire survey on the awareness of ventilation and the implementation of ventilation in each season are also considered, and their relationship with the measured IAQ is discussed.
As mentioned in Section 1, in order to clarify the actual state of the IAQ in houses, it is necessary to conduct an investigation focusing on three points: (1) the influence of heating appliances on IAQ; (2) the influence of outdoor temperature; and (3) the gap between occupants’ awareness of ventilation and actual IAQ. In Section 4, experimental results of the measurement of the CO 2 concentration are analyzed from these points of view. The results for (1) and (2) are described in Section 4.1, focusing on the measurement results, and results for (3) are mentioned in Section 4.2, focusing on results of the questionnaire.

3.2. Research Participants

In order to measure the CO 2 concentrations in occupied homes, 24 research participants living in urban areas were selected; Table 2 lists the participants’ houses and housing attributes. As shown in Figure 1, to exclude extremely warm or cold regions, participants’ houses were selected from the same climatic zone as Tokyo, according to definitions by Japan’s Ministry of Land, Infrastructure, Transport and Tourism [47]; Table 3 lists the climate data for Tokyo.
Participants’ houses were selected to have a diverse, holistic representation of types of dwelling, their structure, and the age of the building. Since the purpose of this experiment was to investigate the relationship between the heating equipment used and air pollution, we selected 14 houses that do not use combustion heating equipment and 10 houses that do. As shown in Table 2, most houses that use combustion heating also use multiple heating appliances such as air conditioners (ACs).

3.3. Measurements and Questionnaires

Experiments consisted of measurements in the participants’ houses and a questionnaire survey completed by the participants.
A sensor kit (see Figure 2) was installed in the living room of each house to measure the indoor CO 2 concentration and temperature. This kit was developed based on the Raspberry Pi 3 B+, and measurement data were automatically uploaded to a cloud server through an LTE modem. CO 2 concentration was measured using a Figaro CDM7160-C00 gas sensor, which can measure in the range of 360–5000 ppm in 1 ppm increments, with an accuracy of ±(50 ppm + 3%), and is pre-calibrated. An OMRON 2JCIE-BU01 environmental sensor was used to measure indoor temperature. Software programs to collect sensor data were also developed by the authors for the experiments, with each data being collected in real time at 10 s intervals. The installation of this sensor kit required a space that was approximately 20 cm in width and depth, and 15 cm in height. Each sensor costs approximately USD $350, which can be reduced to approximately $150 by minimizing the components to only measure the CO 2 concentration. The sensor kits were all shipped to the research participants, who assembled and installed them independently following the instructions shown in Figure 3. Sensor kits were requested not to be installed on the floor or near heating and ventilation equipment.
The questionnaire was conducted once online in mid- to late-December 2020, asking participants to provide detailed answers about their housing attributes, building age, the number of occupants, household composition and heating methods, as well as questions about their awareness of ventilation and how often they ventilate their homes each season. Figure A1 in Appendix A shows the list of all questions of the questionnaire survey. In addition to these measurements and questionnaires, participants were approached separately if any additional details needed to be understood from their measurement data or questionnaire responses.

4. Results of Field Investigation

4.1. Measurement Results

4.1.1. Effect of Combustion Heating Use

Figure 4 shows the monthly distribution of CO 2 concentrations from October 2020 to March 2021 as a box plot. This box plot shows the maximum value excluding outliers, upper quartile, median, lower quartile, and minimum value excluding outliers, respectively, from top to bottom. In Figure 4, the vertical axis represents the CO 2 concentration, while the horizontal axis represents the identification number, i.e., ID of each participant’s house. As shown in Table 2, houses from ID 15 onwards use combustion heaters.
The results shown in Figure 4 indicate that the CO 2 concentration in many houses with combustion heating equipment (i.e., ID 15–24) had risen significantly since December 2020, reaching between 3500 ppm and 5000 ppm (in rare cases), as compared to houses without combustion heating. This result shows a similar trend to that of the existing surveys [9,10,11]. However, it cannot be concluded from this that the air is clean just because combustion heating is not used, as the concentration reaches around 3000 ppm in some houses (i.e., ID 1–14) that do not use combustion heating at all. This peculiarity is discussed in Section 5.
The aforementioned results also show that there are some houses with low CO 2 concentrations, despite their use of combustion heating. This may be due to the use of other heating appliances such as air conditioners, although this balance varies from house to house. Figure 5 shows the CO 2 concentration and indoor temperature on any given day for a house using both combustion heaters and air conditioners.
In both types of houses, a sharp increase in the CO 2 concentration was observed at around 7:00 a.m., and the indoor temperature increased at the same time, which can be attributed to the use of combustion heating. At ID 17, as shown in Figure 5a, the CO 2 concentration exceeded 3500 ppm in the morning and often reached 2000–3000 ppm during the day thereafter. In contrast, ID 24, as shown in Figure 5b, showed that the CO 2 concentration reached 2500 ppm for a short period in the morning, but then remained in the range of 1000–2000 ppm. Based on indoor temperature trends, it can be estimated that the occupants of both houses are in the living room from morning to nighttime, or at least continue to use some kind of heating system in these rooms. Therefore, these results suggest that while IDs 17 and 24 use both combustion heating and air conditioning, the former uses combustion heating for a relatively long period of time, while the latter uses it for a short period of time. When participants were interviewed about their heating habits, it was found that occupants of ID 24 used combustion heating only for rapid heating when the indoor temperature was low, and air conditioning was the main heating source for the rest of the day. This difference in behavioral habits can be seen in the difference in concentration distribution after December, as shown in Figure 4.

4.1.2. Relationship between CO 2 Concentration and Outdoor Temperature

Figure 6 shows the daily averages of outdoor temperature and indoor CO 2 concentration inside houses, values for which are plotted on a scatter plot. Each plot shows the fitting line, its equation, and the coefficient of determination R 2 . Note that the range taken by the vertical axis depends on the concentration distribution of each house, in order to show the relative trend.
Results indicate that the outdoor temperature and CO 2 concentration have negatively correlation in all houses except for ID 13, regardless of the heating appliance(s) used, although the strength of the correlation varies from house to house. As shown in Figure 4, the increase in CO 2 concentration is more obvious in the winter season, when the outdoor temperature drops in houses using combustion heating; the same trend of increasing concentration can also be observed in houses that are not using combustion heating. This is especially noticeable in apartment houses ID 1–8, where the number of houses with concentrations reaching 2000 ppm increases as the outdoor temperature decreases.
The CO 2 concentration trend for ID 14 is shown in Figure 7 and Figure 8 as examples of a house that can be assumed to have decreased ventilation under the influence of a decrease in outdoor temperature; gray periods in Figure 7 represent the missing measurements due to sensor failure. In this experiment, the missing rate of measurement was 1.38%. Since ID 14 does not use combustion heating, the CO 2 concentration does not increase because of the use of a heating appliance. However, Figure 7 and Figure 8 show that the concentration increases from November to January. From this observation, it can be assumed that the ventilation frequency and volume gradually decreased as the outdoor temperature became colder.
Figure 9 and Figure 10 show the trend of CO 2 concentration for ID 18, which uses combustion heating; the results shown in Figure 9 indicate that the indoor CO 2 concentration in this residence increased rapidly after mid-December. ID 18 shows a similar gradual upward trend as ID 14 from October to November 2020, but the CO 2 concentration begins to reach 3000 ppm at certain times of the day from mid-December onward, becoming higher still in January. The relationship between the outdoor temperature and indoor concentration shown in Figure 6, the difference is clear: ID 14 shows a linear relationship between outdoor temperature and concentration, although the R 2 value for ID 18 (0.633) is higher than the value for ID 14 (0.489), while ID 18 shows a non-linear change after an outdoor temperature of approximately 10 ° C. The same trend is observed in IDs 16, 20, 22, etc., where combustion heating is used. The sudden increase in the concentration indicates that combustion heating begun to be used. From Figure 6 and Figure 10, it can be inferred that the timing of use in ID 18 is when the outdoor temperature drops to approximately 10 ° C. On the other hand, ID 5, 10, and 21 apparently deviated from the negative correlation when the outside temperature was below 10 ° C. In these houses, ventilation behavior, such as not opening windows to ventilate when it is cold outside, may have had an impact.
Thus, regardless of the type of heating equipment used, CO 2 concentration tends to increase as the outdoor temperature decreases. The causes for this trend include combustion heating and a lack of ventilation.
For ID 13, the concentration distribution in January 2021 was lower than that in December 2020, as shown in Figure 4; the relationship between CO 2 concentration and outdoor temperature for ID13 differed from that for the other houses, with a weak positive correlation, as shown in Figure 6. As for the former, it can be gathered from the results of the interviews that the door to the adjacent room was opened because the air conditioner broke down, and that the ventilation fan was cleaned in early January 2021, both of which may have affected the results. For the latter, the interviews revealed that pets were often in the living room and the air conditioner was always in use, except on days when the outdoor temperature was high. Owing to these circumstances, ID 13 showed a different trend from the other houses.

4.2. Questionnaire Results

This section describes the results of the questionnaire survey of participants regarding their awareness of ventilation and people’s behavior regarding ventilation.
Q7 and Q8 in Table 4 show the results of questions about interest in ventilation and whether the home is ventilated. In Q7, 20 out of the 24 participants answered that they were interested in ventilation. The majority of the respondents in Q8 answered that their self-evaluation of ventilation was “well enough done" or “more or less done,” reflecting the high level of interest in ventilation indicated in Q7.
Results of the questionnaire also supported the notion that the ventilation frequency was influenced by seasonal variations. In Q9-10 of Table 1, the number of participants who answered “always” decreased from 7 in spring and autumn to 2 in summer and winter. Conversely, the number of respondents who answered “almost never” increased from two to eight. Even among the participants who responded that the frequency of ventilation had not decreased, most of them showed an increase in the CO 2 concentration with a decrease in temperature, as shown in Figure 6, which suggests that the frequency of ventilation decreased.
Q11 in Table 4 are the results of a question regarding the frequency of cleaning 24-h ventilation and ventilation openings in bathrooms and toilets. More than half of the participants answered “not at all” or “not sure.” High interest in ventilation does not necessarily lead to proper management of ventilation equipment.
Table 5 shows the results of the question about reasons for wanting to ventilate, and Table 6 shows the results of the question about reasons for not needing to ventilate. “Want to bring in fresh air” was indicated as the most common reason given for wanting ventilation; on the other hand, the most common reason for not ventilating was “because it’s cold (or hot)”, which is consistent with the trend shown in Figure 6.

5. Discussion

The state of IAQ was investigated through the measurement of CO 2 concentrations in houses and questionnaire surveys, and these findings are discussed in this section.

5.1. IAQ Pollution from Combustion Heating

The use of oil- and gas-fired heating appliances was found to cause significant increases in CO 2 concentrations, leading to indoor air pollution with concentrations ranging from 3000–5000 ppm. This is similar to the results of the existing studies described in Section 2; such an environment is both uncomfortable and raises concerns about health effects due to long-term exposure.
In contrast, the CO 2 concentration was relatively lower in houses with multiple heating appliances, such as air conditioners, than in houses with only combustion heating, suggesting the possibility of reducing air pollution by using multiple heating methods. Although it is necessary to consider other factors, such as the airtightness of the house and the amount of ventilation, this result implies that the combined use of air conditioners and other devices might lead to IAQ improvement.
All of the existing measurement case studies were conducted only for the use of combustion heating, and the results described in this paper are findings obtained by targeting houses with various heating methods.

5.2. Influence of Outdoor Temperature on Ventilation

As shown in Figure 4 and Figure 6, the CO 2 concentration tends to increase with decreasing outdoor temperature in many houses. This result can be attributed to a decrease in the frequency of ventilation, including window opening, in order to avoid a drop in room temperature due to air exchange. This is supported by the results of the questionnaire responses described in Section 4.2 and by the existing study [48].
Various pollutants such as CO, NO x , SO 2 , and VOCs are likely to be retained in houses with high CO 2 concentrations and insufficient ventilation, which may cause Sick Building Syndrome and respiratory diseases caused by long-term exposure [13,14,36,37,38,39]. In addition, even when considering the effects of CO 2 alone, high concentrations have negative effects, such as reducing the ability to think, concentrate, and sleep [26,27,28].
Changes in the CO 2 concentration are difficult for occupants to perceive. It is necessary to implement methods to maintain a clean IAQ without relying on human senses, such as constantly measuring the concentration and encouraging ventilation at appropriate times.

5.3. Gap between Occupants’ Awareness of Ventilation and the Actual IAQ

The results of the measurements in houses and the questionnaire survey conducted in this study showed that the actual IAQ does not match occupants’ awareness of ventilation. This could be attributed to the inability of occupants to perceive air pollution, as well as a lack of knowledge about the ventilation system of the house and the effects of combustion heating as barriers.
On the other hand, occupants are highly interested in ventilation in their homes, and there is considerable room for improvement in residential IAQ. If appropriate solutions for improvement can be presented to occupants based on the findings of this study, they will be able to understand the actual conditions in their homes, and can be expected to change their behavior to achieve a healthy and comfortable air environment.

6. Conclusions

In this study, the true condition of residential IAQ was investigated by measuring the CO 2 concentration and a questionnaire survey. From the results obtained, the relationship between factors such as the heating method, outdoor temperature, and air pollution was clarified. The main findings and suggestions obtained in this study are as follows:
  • The CO 2 concentration increased significantly with the use of combustion heating equipment, resulting in air pollution in the house. This air pollution could be reduced by using non-combustion heating methods such as air conditioners.
  • In many houses, mainly apartment complexes, it was found that the CO 2 concentration tends to increase as the outdoor temperature decreases. This result is presumably due to the fact that the frequency of ventilation, such as window opening, decreases in order to avoid a decrease in indoor temperature in the winter season, when the outdoor temperature decreases.
  • The actual IAQ in each house does not match occupants’ awareness of ventilation. In addition to the occupants’ difficulty in perceiving air pollution, the lack of knowledge about the ventilation system and the effects of combustion heating might be additional barrier.
Based on these results, methods to improve residential IAQ should be studied in future work. Specifically in addition to the CO 2 concentration, substances such as CO, NO x , and VOCs should be measured to clarify the relationship between each substance, and to investigate which behaviors lead to deterioration of the IAQ. Methods to improve the IAQ can subsequently be developed through technologies such as information provision and automation systems. It is important to utilize these methods to raise awareness of IAQ and to inform occupants about the harmful effects of pollutants. Since ventilation causes a decrease in heating efficiency, energy conservation in heating use is also an important issue. Future studies should also include methods to achieve both healthy IAQ and high energy efficiency.

Author Contributions

Conceptualization, S.H., T.I. and N.T.; methodology, S.H. and T.I.; software, S.H., T.M. and F.T.; validation, T.I., F.T. and N.T.; formal analysis, S.H. and T.I.; investigation, S.H. and T.I.; resources, S.H.; data curation, S.H.; writing—original draft preparation, S.H.; writing—review and editing, T.I. and F.T.; visualization, S.H.; supervision, F.T.; project administration, F.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study design was approved by an appropriate ethics review board of Central Research Institute of Electric Power Industry.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Figure A1 shows a list of the questions from the questionnaire conducted for the subjects.
Figure A1. Questionnaire survey regarding housing attribute, their awareness and behavior of ventilation.
Figure A1. Questionnaire survey regarding housing attribute, their awareness and behavior of ventilation.
Sensors 22 07331 g0a1

References

  1. Klepeis, N.E.; Nelson, W.C.; Ott, W.R.; Robinson, J.P.; Tsang, A.M.; Switzer, P.; Behar, J.V.; Hern, S.C.; Engelmann, W.H. The national human activity pattern survey (NHAPS): A resource for assessing exposure to environmental pollutants. J. Expo. Sci. Environ. Epidemiol. 2001, 11, 231–252. [Google Scholar] [CrossRef] [PubMed]
  2. Matz, C.J.; Stieb, D.M.; Davis, K.; Egyed, M.; Rose, A.; Chou, B.; Brion, O. Effects of age, season, gender and urban-rural status on time-activity: Canadian Human Activity Pattern Survey 2 (CHAPS 2). Int. J. Environ. Res. Public Health 2014, 11, 2108–2124. [Google Scholar] [CrossRef] [PubMed]
  3. Statistics of Japan, New Dwellings Started: New Constrution Starts of Dwellings by Owner Occupant Relation. Available online: https://www.e-stat.go.jp/en/stat-search/files?page=1&layout=datalist&toukei=00600120&tstat=000001016966&cycle=7&year=20210&month=0&result_back=1&tclass1val=0 (accessed on 9 September 2022).
  4. Statistics Bureau, Statistical Handbook of Japan 2021. Available online: https://www.stat.go.jp/english/data/handbook/c0117.html (accessed on 9 September 2022).
  5. Ramos, N.M.; Almeida, R.M.; Curado, A.; Pereira, P.F.; Manuel, S.; Maia, J. Airtightness and ventilation in a mild climate country rehabilitated social housing buildings–What users want and what they get. Build. Environ. 2015, 92, 97–110. [Google Scholar] [CrossRef]
  6. Shinohara, N.; Kataoka, T.; Takamine, K.; Gamo, M. Distribution and variability of the 24-h average air exchange rates and interzonal flow rates in 26 Japanese residences in 5 seasons. Atmos. Environ. 2011, 45, 3548–3552. [Google Scholar] [CrossRef]
  7. World Health Organization. WHO Guidelines for Indoor Air Quality: HOUSEHOLD Fuel Combustion; World Health Organization: Geneva, Switzerland, 2014; pp. 76–81. [Google Scholar]
  8. Ruiz, P.A.; Toro, C.; Caceres, J.; Lopez, G.; Oyola, P.; Koutrakis, P. Effect of gas and kerosene space heaters on indoor air quality: A study in homes of Santiago, Chile. J. Air Waste Manag. Assoc. 2010, 60, 98–108. [Google Scholar] [CrossRef]
  9. Hanoune, B.; Carteret, M. Impact of kerosene space heaters on indoor air quality. Chemosphere 2015, 134, 581–587. [Google Scholar] [CrossRef]
  10. Ritchie, I.M.; Oatman, L.A. Residential air pollution from kerosene heaters. J. Air Pollut. Control Assoc. 1983, 33, 879–881. [Google Scholar] [CrossRef]
  11. Arashidani, K.; Yoshikawa, M.; Kawamoto, T.; Matsuno, K.; Kayama, F.; Kodama, Y. Indoor pollution from heating. Ind. Health 1996, 34, 205–215. [Google Scholar] [CrossRef]
  12. Seow, W.J.; Downward, G.S.; Wei, H.; Rothman, N.; Reiss, B.; Xu, J.; Bassig, B.A.; Li, J.; He, J.; Hosgood, H.D.; et al. Indoor concentrations of nitrogen dioxide and sulfur dioxide from burning solid fuels for cooking and heating in Yunnan Province, China. Indoor Air 2015, 26, 776–783. [Google Scholar] [CrossRef]
  13. Sun, Y.; Hou, J.; Cheng, R.; Sheng, Y.; Zhang, X.; Sundell, J. Indoor air quality, ventilation and their associations with sick building syndrome in Chinese homes. Energy Build. 2019, 197, 112–119. [Google Scholar] [CrossRef]
  14. Zhang, X.; Li, F.; Zhang, L.; Zhao, Z.; Norback, D. A Longitudinal Study of Sick Building Syndrome (SBS) among Pupils in Relation to SO2, NO2, O3 and PM10 in Schools in China. PLoS ONE 2014, 9, e112933. [Google Scholar] [CrossRef]
  15. Okushima, S. Understanding regional energy poverty in Japan: A direct measurement approach. Energy Build. 2019, 193, 174–184. [Google Scholar] [CrossRef]
  16. Yagita, Y.; Iwafune, Y. Residential energy use and energy-saving of older adults: A case from Japan, the fastest-aging country. Energy Res. Soc. Sci. 2021, 75, 102022. [Google Scholar] [CrossRef]
  17. Farabi-Asl, H.; Chapman, A.; Itaoka, K.; Jalilinasrabady, S.; Bina, S.M. CO2 emission reduction of ground source heat pump system in cold climate of Japan. In Proceedings of the Grand Renewable Energy 2018, Yokohama, Japan, 17–22 June 2018. [Google Scholar]
  18. Residential Indoor Air Quality Guidelines: Carbon Dioxide. Available online: https://www.canada.ca/en/health-canada/services/publications/healthy-living/residential-indoor-air-quality-guidelines-carbon-dioxide.html (accessed on 10 August 2022).
  19. Khovalyg, D.; Kazanci, O.B.; Halvorsen, H.; Gundlach, I.; Bahnfleth, W.P.; Toftum, J.; Olesen, B.W. Critical review of standards for indoor thermal environment and air quality. Energy Build. 2019, 213, 109819. [Google Scholar] [CrossRef]
  20. Scheff, P.A.; Paulius, V.K.; Huang, S.W.; Conroy, L.M. Indoor air quality in a middle school, Part I: Use of CO2 as a tracer for effective ventilation. Appl. Occup. Environ. Hyg. 2000, 15, 824–834. [Google Scholar] [CrossRef] [PubMed]
  21. Chatzidiakou, L.; Mumovic, D.; Summerfield, A. Is CO2 a good proxy for indoor air quality in classrooms? Part 1: The interrelationships between thermal conditions, CO2 levels, ventilation rates, and selected indoor pollutants. Build. Serv. Eng. Res. Technol. 2015, 36, 129–161. [Google Scholar] [CrossRef]
  22. Yoshino, H. Housing Performance and Equipment for Healthy Indoor Environment. In Indoor Environmental Quality and Health Risk toward a Healthier Environment for All; Kishi, R., Norbäck, D., Araki, A., Eds.; Springer: Singapore, 2019; pp. 267–281. [Google Scholar]
  23. ASHRAE. ANSI/ASHRAE Standard 62.1 Ventilation for Acceptable Indoor Air Quality; ASHRAE: Peachtree Corners, GA, USA, 2019. [Google Scholar]
  24. Myhrvold, A.N.; Olsen, E.; Lauridsen, O. Indoor environment in schools–pupils health and performance in regard to CO2 concentrations. In Proceedings of the 7th International Conference on Indoor Air Quality and Climate, Nagoya, Japan, 21–26 July 1996. [Google Scholar]
  25. Simoni, M.; Annesi-Maesano, I.; Sigsgaard, T.; Norback, D.; Wieslander, G.; Nystad, W.; Canciani, M.; Sestini, P.; Viegi, G. School air quality related to dry cough, rhinitis and nasal patency in children. Eur. Respir. J. 2010, 35, 742–749. [Google Scholar] [CrossRef]
  26. Satish, U.; Mendell, M.J.; Shekhar, K.; Hotchi, T.; Sullivan, D.; Streufert, S.; Fisk, W.J. Is CO2 an indoor pollutant? Direct effects of low-to-moderate CO2 concentrations on human decision-making performance. Environ. Health Perspect. 2012, 120, 1671–1677. [Google Scholar] [CrossRef]
  27. Allen, J.G.; MacNaughton, P.; Satish, U.; Santanam, S.; Vallarino, J.; Spengler, J.D. Associations of cognitive function scores with carbon dioxide, ventilation, and volatile organic compound exposure in office workers: A controlled exposure study of green and conventional office environments. Environ. Health Perspect. 2016, 124, 805–812. [Google Scholar] [CrossRef]
  28. Strom-Tejsen, P.; Zukowska, D.; Wargocki, P.; Wyon, D.P. The effects of bedroom air quality on sleep and next-day performance. Indoor Air 2016, 26, 679–686. [Google Scholar] [CrossRef] [Green Version]
  29. Pandian, M.D.; Ott, W.R.; Behar, J.V. Residential air exchange rates for use in indoor air and exposure modeling studies. J. Expo. Anal. Environ. Epidemiol. 1993, 3, 407–416. [Google Scholar]
  30. Yamamoto, N.; Shendell, D.G.; Winer, A.M.; Zhang, J. Residential air exchange rates in three major US metropolitan areas: Results from the Relationship Among Indoor, Outdoor, and Personal Air Study 1999–2001. Indoor Air 2010, 20, 85–90. [Google Scholar] [CrossRef] [PubMed]
  31. Alfano, F.D.A.; Dell’Isola, M.; Ficco, G.; Tassini, F. Experimental analysis of air tightness in Mediterranean buildings using the fan pressurization method. Build. Environ. 2012, 53, 16–25. [Google Scholar] [CrossRef]
  32. Nabinger, S.; Persily, A. Impacts of airtightening retrofits on ventilation rates and energy consumption in a manufactured home. Energy Build. 2011, 43, 3059–3067. [Google Scholar] [CrossRef]
  33. Stabile, L.; Dell’Isola, M.; Frattolillo, A.; Massimo, A.; Russi, A. Effect of natural ventilation and manual airing on indoor air quality in naturally ventilated Italian classrooms. Build. Environ. 2016, 98, 180–189. [Google Scholar] [CrossRef]
  34. Health Canada. Exposure Guidelines for Residential Indoor Air Quality; A Report of the Federal-Provincial Advisory Committee on Environmental and Occupational Health; Environmental Health Directorate, Health Protection Branch: Ottawa, ON, Canada, 1987.
  35. Climate Change: Atmospheric Carbon Dioxide|NOAA Climate.gov. Available online: https://www.climate.gov/news-features/understanding-climate/climate-change-atmospheric-carbon-dioxide (accessed on 12 September 2022).
  36. Norbäck, D.; Björnsson, E.; Janson, C.; Widström, J.; Boman, G. Asthmatic symptoms and volatile organic compounds, formaldehyde, and carbon dioxide in dwellings. Occup. Environ. Med. 1995, 52, 388–395. [Google Scholar] [CrossRef]
  37. Triche, E.W.; Belanger, K.; Beckett, W.S.; Bracken, M.B.; Holford, T.R.; Gent, J.F.; Jankun, T.; McSharry, J.-E.; Leaderer, B.P. Infant respiratory symptoms associated with indoor heating sources. Am. J. Respir. Crit. Care Med. 2002, 166, 1105–1111. [Google Scholar] [CrossRef]
  38. Triche, E.W.; Belanger, K.; Bracken, M.B.; Beckett, W.S.; Holford, T.R.; Gent, J.F.; McSharry, J.-E.; Leaderer, B.P. Indoor Heating Sources and Respiratory Symptoms in Nonsmoking Women. Epidemiology 2005, 16, 377–384. [Google Scholar] [CrossRef]
  39. Franklin, P.J. Indoor air quality and respiratory health of children. Paediatr. Respir. Rev. 2007, 8, 281–286. [Google Scholar] [CrossRef]
  40. Moore, J.; Goffin, P.; Meyer, M.; Lundrigan, P. Managing in-home environments through sensing, annotating, and visualizing air quality data. Proc. ACM Interactive, Mobile, Wearable Ubiquitous Technol. 2018, 2, 1–28. [Google Scholar] [CrossRef]
  41. Hattori, S.; Miura, T.; Ichikawa, R.; Sawai, D. In-Home Behavioral Observation Method Employing Internet of Things Sensors for Barrier Investigation of Energy Saving Activities. In Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, Toledo, Spain, 2–5 December 2019. [Google Scholar]
  42. Tiersen, F.; Batey, P.; Harrison, M.J.; Naar, L.; Serban, A.I.; Daniels, S.J.; Calvo, R.A. Smart home sensing and monitoring in households with dementia: User-centered design approach. JMIR Aging 2021, 4, e27047. [Google Scholar] [CrossRef] [PubMed]
  43. Perera, M.S.; Halgamuge, M.N.; Samarakody, R.; Mohammad, A. Internet of Things in Healthcare: A Survey of Telemedicine Systems Used for Elderly People. In IoT in Healthcare and Ambient Assisted Living; Marques, G., Bhoi, A.K., Albuquerque, V.H.C., Hareesha, K.S., Eds.; Springer: Singapore, 2019; pp. 69–88. [Google Scholar]
  44. Rashidi, P.; Mihailidis, A. A survey on ambient-assisted living tools for older adults. IEEE J. Biomed. Health Inform. 2013, 17, 579–590. [Google Scholar] [CrossRef] [PubMed]
  45. Dey, N.; Ashour, A.S.; Shi, F.; Fong, S.J.; Sherratt, R.S. Developing residential wireless sensor networks for ECG healthcare monitoring. IEEE Trans. Consum. Electron. 2017, 63, 442–449. [Google Scholar] [CrossRef]
  46. Krupitzer, C.; Sztyler, T.; Edinger, J.; Breitbach, M.; Stuckenschmidt, H.; Becker, C. Hips do lie! Position-aware mobile fall detection system. In Proceedings of the IEEE International Conference on Pervasive Computing and Communications, Athens, Greece, 19–23 March 2018. [Google Scholar]
  47. Table of Old and New Energy Conservation Standard Area Classifications. Available online: https://www.mlit.go.jp/jutakukentiku/shoenehou_assets/img/library/chiikikubun-sinkyuu.pdf (accessed on 12 September 2022). (In Japanese).
  48. Fernandez-Aguera, J.; Dominguez-Amarillo, S.; Alonso, C.; Martin-Consuegra, F. Thermal comfort and indoor air quality in low-income housing in Spain: The influence of airtightness and occupant behaviour. Energy Build. 2019, 199, 102–114. [Google Scholar] [CrossRef]
Figure 1. Target area of the experiments (in red). Extremely warm or cold regions were excluded.
Figure 1. Target area of the experiments (in red). Extremely warm or cold regions were excluded.
Sensors 22 07331 g001
Figure 2. Sensor kit for measuring CO 2 concentration.
Figure 2. Sensor kit for measuring CO 2 concentration.
Sensors 22 07331 g002
Figure 3. Instructions for assembling the sensor kit (distributed to research participants).
Figure 3. Instructions for assembling the sensor kit (distributed to research participants).
Sensors 22 07331 g003
Figure 4. Monthly distribution of CO 2 concentration in participants’ houses.
Figure 4. Monthly distribution of CO 2 concentration in participants’ houses.
Sensors 22 07331 g004
Figure 5. Indoor CO 2 concentration and temperature when combustion heater is used at ID 17 and 24.
Figure 5. Indoor CO 2 concentration and temperature when combustion heater is used at ID 17 and 24.
Sensors 22 07331 g005
Figure 6. Relationship between daily averages of indoor CO 2 concentration and outdoor temperature.
Figure 6. Relationship between daily averages of indoor CO 2 concentration and outdoor temperature.
Sensors 22 07331 g006
Figure 7. The heatmap of CO 2 concentration at ID 14.
Figure 7. The heatmap of CO 2 concentration at ID 14.
Sensors 22 07331 g007
Figure 8. The changes in indoor CO 2 concentration (vertical bars) and outdoor temperature (red line) at ID 14.
Figure 8. The changes in indoor CO 2 concentration (vertical bars) and outdoor temperature (red line) at ID 14.
Sensors 22 07331 g008
Figure 9. The heatmap of CO 2 concentration at ID 18.
Figure 9. The heatmap of CO 2 concentration at ID 18.
Sensors 22 07331 g009
Figure 10. The changes in indoor CO 2 concentration (vertical bars) and outdoor temperature (red line) at ID 18.
Figure 10. The changes in indoor CO 2 concentration (vertical bars) and outdoor temperature (red line) at ID 18.
Sensors 22 07331 g010
Table 1. CO 2 concentration standards and guidelines in each country [18,22,23].
Table 1. CO 2 concentration standards and guidelines in each country [18,22,23].
CountryValueTarget
Canada1000 ppmResidence
Finland1200 ppmResidence, office, school
France1000 ppmSchool and office
Germany1500 ppmSchool
Holland1000–1500 ppmResidence
Japan1000 ppmBuildings over a certain size
Korea1000 ppmResidence, office, school
New Zealand1000 ppmSchool
Norway1000 ppmSchool
United States<700 ppm above outdoor levelIndoor
Table 2. Characteristics of research participants for the experiments.
Table 2. Characteristics of research participants for the experiments.
IDHouseStructureYear Built# of OccupantsHeating Appliances in the Living Room
1ApartmentRC19993Elec. heater
2ApartmentRC20035AC (Air Conditioner), floor heating
3ApartmentRC20021AC
4ApartmentRC20021AC
5ApartmentSteel-framed19813AC, elec. heating carpet
6ApartmentRC20002AC, elec. heater
7ApartmentRC19861AC, elec. heater
8ApartmentWooden19661AC
9DetachedWooden20115Floor heating
10DetachedWooden20123AC, floor heating
11DetachedWooden20134AC, kotatsu (table over an electric heater)
12DetachedWooden19755AC, Central AC
13DetachedWooden20212AC
14DetachedWooden19894AC, floor heating, elec. heater
15DetachedWooden19872Gas heater
16DetachedSteel-framed20142Gas heater, kotatsu
17DetachedWooden19904Gas heater, AC
18DetachedWooden20104Kerosene heater, AC, heating carpet
19DetachedWooden19642Kerosene heater, AC, elec. heater, kotatsu
20DetachedWooden19882Gas heater
21DetachedWooden19793Gas heater, floor heating
22DetachedWooden19753Kerosene heater, AC, kotatsu
23DetachedRC20004Gas heater, AC
24DetachedWooden19973Kerosene heater, AC, elec. heater
Table 3. Daily mean of outdoor temperature for Tokyo, Japan.
Table 3. Daily mean of outdoor temperature for Tokyo, Japan.
Day20202021
Oct.Nov.Dec.Jan.Feb.Mar.
119.514.310.24.47.211.8
221.015.68.24.88.813.5
321.714.88.13.76.27.4
422.013.79.25.87.09.0
521.713.46.66.07.111.8
621.012.88.25.38.913.8
718.315.59.76.39.97.8
814.717.311.42.46.16.6
914.513.59.82.94.79.6
1016.011.99.32.66.712.0
1119.811.910.22.38.79.9
1221.510.211.43.47.812.7
1322.113.79.95.810.411.1
1420.314.78.57.912.312.5
1516.813.46.16.611.412.9
1616.114.74.610.010.614.5
1712.715.24.36.17.613.7
1814.315.86.14.34.312.3
1913.119.15.84.46.912.9
2015.621.94.43.910.214.1
2116.016.65.34.813.916.7
2217.415.05.68.714.912.1
2316.815.57.76.411.010.8
2417.311.88.04.36.413.8
2515.510.58.77.66.614.5
2616.212.86.47.58.714.5
2716.711.67.810.35.713.7
2816.611.88.54.46.616.5
2917.310.18.75.3-17.5
3014.99.96.94.1-17.8
3113.8-3.45.4-17.9
Table 4. Responses to questions about ventilation concerns and behaviors. The darker the color of the answer, the worse it is for indoor air quality.
Table 4. Responses to questions about ventilation concerns and behaviors. The darker the color of the answer, the worse it is for indoor air quality.
IDQ7: Concernabout VentilationQ8: How Well Is Your House Ventilated?Q9-10: Frequency of VentilationQ11: Frequency of Cleaning the Ventilation Filter
Spring/AutumnSummer/Winter
1Strongly interestedMore or less doneAlwaysAbout once a dayAbout once every few months
2Strongly interestedMore or less doneAlwaysAlmost neverNot at all
3Not interested at allNot done at allAlmost neverAlmost neverNot sure
4Strongly interestedNot much doneAlmost neverAlmost neverNot sure
5Slightly interestedMore or less doneAbout once every few hoursAbout once every few hoursNot sure
6Slightly interestedWell done enoughAbout once every few hoursAbout once every few hoursNot at all
7Strongly interestedMore or less doneAbout once every few hoursAbout once every few hoursNot sure
8Strongly interestedMore or less doneAt least once an hourAt least once an hourAbout once every few months
9Strongly interestedMore or less doneAlwaysAlmost neverAbout once every few months
10Not very interestedMore or less doneAbout once a dayAbout once a dayAbout once a year
11Not very interestedNot much doneAbout once a dayAlmost neverNot sure
12Not very interestedMore or less doneAbout once a dayAlmost neverNot at all
13Slightly interestedMore or less doneAbout once every few hoursAbout once every few hoursAbout once a year
14Strongly interestedWell done enoughAlwaysAlwaysNot at all
15Strongly interestedNot much doneAbout once every few hoursAbout once a dayNot sure
16Slightly interestedWell done enoughAbout once every few hoursAbout once every few hoursNot sure
17Slightly interestedWell done enoughAlwaysAlmost neverNot at all
18Slightly interestedWell done enoughAlwaysAbout once every few hoursNot at all
19Slightly interestedMore or less doneAlwaysAbout once every few hoursNot at all
20Slightly interestedMore or less doneAbout once a dayAbout once a dayAbout once a year
21Slightly interestedNot much doneAbout once every few hoursAbout once every few hoursNot at all
22Slightly interestedNot much doneAbout once a dayAlwaysAbout once a year
23Slightly interestedNot much doneAbout once a dayAbout once every few hoursAbout once a year
24Strongly interestedNot much doneAbout once a dayAlmost neverNot at all
Table 5. Answers to a question about the need for ventilation (multiple answers possible).
Table 5. Answers to a question about the need for ventilation (multiple answers possible).
Q12: Why do you want to ventilate the room?
Answer# of Responses
To bring fresh air.22
To adjust the indoor temperature.5
It’s good for health.3
To prevent colds and other infectious diseases.7
To prevent condensation and mildew on windows.8
The room smells bad.11
Table 6. Answers to a question about when ventilation is not needed (multiple answers possible).
Table 6. Answers to a question about when ventilation is not needed (multiple answers possible).
Q13: Why do you think it is not necessary to ventilate the room?
Answer# of Responses
Because the air outside is so polluted.0
Because it’s cold (or hot) when ventilated.19
Because it’ s already ventilated.2
Because I’m using an air purifier.1
Because some of us have hay fever.4
Because some of us have respiratory problems.0
I’ve never considered that I don’t need to ventilate.4
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Hattori, S.; Iwamatsu, T.; Miura, T.; Tsutsumi, F.; Tanaka, N. Investigation of Indoor Air Quality in Residential Buildings by Measuring CO2 Concentration and a Questionnaire Survey. Sensors 2022, 22, 7331. https://0-doi-org.brum.beds.ac.uk/10.3390/s22197331

AMA Style

Hattori S, Iwamatsu T, Miura T, Tsutsumi F, Tanaka N. Investigation of Indoor Air Quality in Residential Buildings by Measuring CO2 Concentration and a Questionnaire Survey. Sensors. 2022; 22(19):7331. https://0-doi-org.brum.beds.ac.uk/10.3390/s22197331

Chicago/Turabian Style

Hattori, Shunichi, Toshiya Iwamatsu, Teruhisa Miura, Fujio Tsutsumi, and Nobuyuki Tanaka. 2022. "Investigation of Indoor Air Quality in Residential Buildings by Measuring CO2 Concentration and a Questionnaire Survey" Sensors 22, no. 19: 7331. https://0-doi-org.brum.beds.ac.uk/10.3390/s22197331

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop