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Article

Analysis of Measured CO2 Levels through Long-Term Monitoring in Renovated Multifamily Buildings: A Common Case

by
Ancuța Maria Măgurean
1,* and
Horia Alexandru Petran
2
1
Department of Mechanical Engineering, Technical University of Cluj-Napoca, 400461 Cluj-Napoca, Romania
2
National Institute for Research-Development in Construction, Urban Planning and Sustainable Spatial Development, URBAN-INCERC, 021652 Bucharest, Romania
*
Author to whom correspondence should be addressed.
Buildings 2023, 13(8), 2113; https://doi.org/10.3390/buildings13082113
Submission received: 15 June 2023 / Revised: 11 August 2023 / Accepted: 17 August 2023 / Published: 21 August 2023
(This article belongs to the Section Building Energy, Physics, Environment, and Systems)

Abstract

:
The purpose of this study was to analyze the indoor air quality, in particular, the CO2 level, in a real environment, within 16 apartments located in the municipality of Zalău, Romania, in five recently renovated multifamily buildings in which families live under normal conditions. Long-term monitoring was undertaken for 4.5 months, during the heating season of 2022–2023. A representative microclimate perspective was analyzed: the median value of the time fraction, which exceeded the Indoor Environment Quality Category I (IEQcat I) threshold for adults’ bedrooms was 82.30%. For children’s bedrooms, it was 75.65%, while for living rooms, it was 58.78%. When considering IEQcat IV, it was identified that for the bedrooms, the time fraction for which the threshold values were exceeded was still significant (median value of 45.37% for adults’ bedrooms and 50.14% for children’s bedrooms). Even if the indoor thermal comfort conditions increased, it was found that for almost half of the time, the bedrooms did not provide a health-safe indoor environment for the occupants due to inadequate ventilation, exceeding the health threshold values. Thus, it was identified that the ventilation of buildings is a key issue within the renovation process and, currently, is not properly undertaken for the mass renovation of existing multifamily residential buildings.

1. Introduction

A strong specific objective of both the currently in-force Energy Performance of Buildings Directive (EPBD) [1] and the EPBD recast proposal [2] is to increase the rate and extent of building renovations. In Europe, the annual renovation rate is currently 1%, of which 0.2% is deep renovation (with primary energy savings beyond 60%). To achieve the targets for 2030, it is required to double the actual rate to 2%, and from some estimations, to increase the annual renovation rate to 3%, with deep renovations accounting for 70% of the total [3].
The building sector is a priority within the European Union, with significant funds allocated to achieving the climate targets, such as the regional funds under the Cohesion Policy, Just Transition Fund, and Invest EU, and with new funds under development, such as the new ETS’s Social Climate Fund [2].
Considering the significant share of multifamily houses (MFHs) of the total existing building stock in the EU (Figure 1; primary data extracted from [4]), it is highlighted that the mass renovation of this sector should be carefully undertaken.
Furthermore, considering the considerable efforts and resources allocated to the renovation of the existing building stock, it is important to undertake appropriate renovations from a technical perspective.
Currently, in Europe, the renovation of apartment buildings mostly focuses on the thermal insulation of the building envelopes and on the increasing levels of airtightness, which is commonly carried out by replacing existing windows, with a limited focus on the ventilation of the building after the airtightness increases and on the replacement of the equipment for heating, domestic hot water (DHW), and cooling [5,6,7,8]. This practice leads to superficial (with primary energy savings of up to 30%) and, occasionally, moderate renovations (with primary energy savings between 30% and 60%).
Energy efficiency practices in buildings refer to passive or active measures. Passive measures contribute by reducing the energy demand (with the increased use of natural potentials for heating, cooling, and lighting), for example through the thermal insulation of the building envelope, using shadow systems or replacing the windows with ones with very specific characteristics. Active measures refer to the use of energy-efficient HVAC systems and lighting and the use of renewable energy sources.
Cholewa et al. [5] collected operational energy data from 11 renovated multifamily buildings in Poland over several heating seasons. The renovations consisted of the addition of thermal insulation to the external walls (12–14 cm foam polystyrene) and the roof (12–16 cm blown-fiber materials). The hydraulic rebalancing of the heating systems was considered as well; however, any other measures were excluded.
Ibanez Iralde et al. [6] provided an extended analysis of the current state of the art for the energy retrofit of residential buildings in Spain, considering 27 retrofitting action references. The most common solutions are related to façade insulation, roof insulation, the replacement of windows, measures related to heating and DHW systems, and lighting replacements. Ventilation systems made up 33% and natural ventilation devices made up 7.4% of the 27 references.
Arbulu et al. [7] developed a toolkit for residential building renovations using a life-cycle approach, which considers the integration of passive, active, and renewable energy source (RES) solutions. High importance was given to the passive solutions (thermal insulation), and limited focus was on the active and RES solutions, without any mention of natural or mechanical ventilation within the renovation process.
In the study undertaken by Pennell et al. [8], assessing 7328 multifamily buildings located in New York City, USA, lighting improvements were the most popular solution to increase the energy efficiency of the buildings (over 85.1% of cases), followed by measures related to DHW and HVAC (over 43.1% of cases) and building envelope solutions (over 41.9%). However, this is not the common practice in Europe.
The indoor air quality (IAQ) is an essential factor affecting the health and comfort of the occupants of a building [9,10,11,12] and the occupants’ behavior [13]. Saidin et al. [9] identified that the indoor concentrations of PM2.5 and CO2 significantly contribute to the total hazard ratio and that the ventilation system significantly affects the indoor air quality, using a case study of six bank offices located in Malaysia. Alzahrani et al. [10] assessed the impact of the IAQ parameters (relative humidity (RH), ventilation rates, and carbon dioxide) on teachers’ performance in Saudi Arabia and used an artificial neural network (ANN) to predict the relationship between performance and IAQ. In one study [11], three indoor air pollutants (PM2.5, CO2, and CO) were measured in six public health centers, and identified that ventilation is a key measure to improve the IAQ. Another study [12] monitored several volatile compounds (VOCs)—o-xylene (ppm), acetaldehyde (ppm), 1,3 butadiene (ppm), 2-butoxietanol (ppm), n,n-dimethyl acetamide (ppm), 1,1-dichloroethene (ppm)—and other indoor air parameters (CO2 (ppm), CO (ppm), T (°C), and RH (%)) in three residential buildings (kitchens and bedrooms), and it was identified that the indoor air parameters were within the admissible limits, except CO2, for which the level exceeded up to three times the allowed limit. Thus, it is emphasized that measurements of CO2 are relevant in indoor air quality assessments.
The influence of different ventilation levels on indoor air quality and energy savings were studied in a single-family house in Sweden [14]. CO2, relative humidity, and temperature, as indicators of IAQ, were measured, in order to determine the appropriate ventilation rates.
From the medical perspective, studies have confirmed a correlation between increased indoor CO2 levels and their influence on the human behavior and performance. In [15], the direct effects of increased CO2 indoor concentrations were assessed on humans’ decision-making, indicating moderate and statistically significant decrements of decision-making performance relative to 1000 ppm CO2 exposure, compared with 600 ppm CO2 exposure, and large and statistically significant decrements on 2500 ppm CO2 exposure. Percentile ranks for some performance metrics decreased to levels associated with dysfunctional performance. It has previously been shown that human well-being and the capacity to concentrate decrease when CO2 concentrations increase up to 3000 ppm [16].
Further research has revealed a correlation between sick building syndrome (SBS) and CO2 levels. In [17], CO2 was identified as one of the factors that significantly influence the SBS complaints for 101 libraries workers in Malaysia, in addition to pollutants, RH, temperature, and bacteria. In total, 100 buildings datasets were analyzed in the USA, using the Building Assessment Survey and Evaluation (BASE); the results indicated statistically significant associations between elevated indoor CO2 levels and increases in certain SBS symptoms [18].
However, IAQ has been less studied when considering the post-evaluation of mass renovation for multifamily buildings, currently being intensively measured and monitored for the non-residential sector [19,20,21,22,23]. Within a relevant study [19], the air quality of a renovated office building in Manchester was monitored for two weeks, along with an assessment of the impact of sick building syndrome (SBS). CO2 level, air exchange, and air velocity measurements were undertaken to identify whether the reactivated natural ventilation function of a renovated historical university building (Architecture Hall) was successful within the renovation process; it was found that it was not [20,23]. In [21], CO2 levels were monitored for a renovated school, located in the Czech Republic; it was found that the renovated classroom had a significantly high concentration of CO2 after renovation (up to 1981 ppm), due to inadequate ventilation. In [22], several indoor environmental parameters of a historical building located on a university campus in Košice, Slovakia, were monitored. Correlations between the measured environmental parameters and the subjective evaluation of SBS through questionnaires were addressed.
The residential function of buildings, as well as their private ownership, are factors that make undertaking this type of study difficult, due to a certain reluctance of the occupants.
Limited studies are available, however. Coggins et al. [24] monitored 14 dwellings, deep retrofitted between 2018 and 2020, mostly detached and semi-detached houses, located across Ireland, with measurements of CO2 levels and other indoor air parameters (IAPs), although for a very limited period of 48 h. Median CO2 concentrations of 680 ppm and 540 ppm were detected in the 14 bedrooms in the 14 living rooms that were surveyed, respectively.
Within this study, the characterization of IAQ was performed through the measurement of indoor carbon dioxide concentrations, indoor temperature, and relative humidity, as three main parameters that define IAQ [12].
The main purpose of the study was to analyze the CO2 level in a real environment (apartments in renovated multifamily buildings in which families live, under normal conditions), for a period of 4.5 months, during the heating season. The indoor sensors were located in different rooms of the apartments (mostly in the bedrooms and in the living rooms).
The renovation of the monitored buildings represents the common current practice of multifamily building renovation in Romania.

2. Materials and Methods

During the winter season 2022–2023, between 8 November 2022 and 20 March 2023, monitoring was performed for 16 apartments, located in five different apartment buildings, which had been renovated between 2019 and 2022, under the multiannual Romanian national program on increasing the energy performance of residential multifamily buildings. The buildings were in Zalău Municipality, Romania, which is located in climatic zone III, according to the Romanian calculation methodology of energy performance of buildings [25], and in continental climate Dfb, according to the Köppen–Geiger climate classification.
The buildings were built between 1971 and 1985 and represent common multifamily buildings, built under the communist regime in Eastern Europe (Figure 2), with the main intention of use as family apartments. The total number of apartments within the five monitored buildings was 134. In Table 1, general characteristics of the monitored multifamily buildings are detailed.
The technical documentation used within the renovation was available through the Municipality of Zalău, including the energy audits of the buildings and the technical projects.
All monitored apartments were private property, predominantly owned by the families who lived in them, and rented in two cases.
The implemented renovation measures were closely directed through the national funding program guidelines, and mostly refer to the thermal insulation of the building envelope, without any solutions for heating, DHW, cooling, and lighting equipment replacements inside the apartments. Therefore, the measures consisted of thermal insulation of the building’s envelope elements, comprising 15 cm of fire-retardant expanded polystyrene (EPS) on the external walls, bordered with 60 cm continuous strips of mineral wool in front of the level slabs, 6 cm extruded polystyrene (XPS) to the base, 20 cm of fire-retardant EPS to the floor above the last level, and 10 cm of fire-retardant EPS to the floor over unheated basements. Window replacements were also considered. Provisions for the energy performance of windows were related to the maximum thermal transmittance, Uw = max 1.3 W/m2K, and for the window frames to be equipped with humidity-controlled ventilation openings.
Regarding other measures, some lighting fixtures were replaced with LED technology, but only in the communal spaces of the buildings, and only in two from the five monitored MFHs.
However, in none of the monitored buildings were ventilation measures implemented, because every family in a multifamily building independently decides whether windows should be replaced or not (most had been changed them in recent years prior to the renovation). Even for those who had replaced the windows during the building renovation, the new windows did not feature humidity-controlled ventilation openings.
The average values for the thermal transmittances of the buildings’ envelope elements, considering the thermal bridges effect, are centralized in Figure 3.
Regarding the heating, ventilation, air conditioning (HVAC) equipment, all the monitored apartments were equipped with individual wall boilers, mounted in the period 2000–2022 (43.75% between 2000 and 2002; 12.5% between 2003 and 2019; 31.25% between 2020 and 2022; and for 12.5%, data were not available), used to provide heating and domestic hot water. Additionally, only 12.5% of the monitored apartments were equipped with air conditioning units, used for cooling. It is emphasized the high percentage of heating equipment within the households was more than 20 years old, and the lack of measures related to replacing HVAC equipment within the renovation was demonstrable.
The ventilation of these buildings was initially designed to be natural, with forced draughts in ventilation columns. However, within the energy audits, no specific measures were provided to ensure its long-term functionality; thus, it can be considered that, over time, the ventilation mostly consisted of unorganized natural ventilation (i.e., opening windows).
The measurements were undertaken with data from five Netatmo weather stations located in each monitored building, each comprising an indoor module and an outdoor module; two or three additional indoor modules were added, to monitor three or four apartments in each building. The general characteristics of the weather station modules are detailed in Table 2.
The Netatmo weather systems were composed of 1 indoor module (station) and 1 outdoor module, with 3 additional indoor modules attached to the main station. The modules were stand-alone and fitted discreetly in the analyzed homes, with high acceptance from the owners. Netatmo Smart Home Weather Stations feature a combination of measurement sensors covering temperature, air pressure, humidity, and CO₂ concentration, which are automatically logged every 5 min into a Netatmo account over Wi-Fi 802.11 b/g/n (2.4 GHz), using a home internet router and wireless connection (radio) between modules.
The measured indoor parameters were temperature, relative humidity and CO2 level; the measured outdoor parameters were temperature and relative humidity. The characteristics of the weather stations are detailed in Table 2. Every indoor module recorded a median value of 37,704 values for each measured parameter, during the period from 8 November 2022 to 20 March 2023.
Table 3 presents the location of the modules in each apartment, and the number of occupants in each household.
Additionally, a survey of the household representatives was undertaken, for each monitored apartment.

3. Results and Discussion

The measured indoor parameters were temperature, relative humidity, and CO2 level; the measured outdoor parameters were temperature and relative humidity. For the indoor modules of the weather stations (the sources) extra parameters, including pressure and sound level, were recorded. The time intervals at which measurements were undertaken was five minutes throughout the whole monitoring period.
In the current study, special focus was given to the CO2 level analysis, considering the microclimate perspective. In Figure 4, Figure 5 and Figure 6, profiles of measured parameters are presented for several selected cases, i.e., different rooms, for the period from 8 November 2022 to 20 March 2023.
In Figure 7, Figure 8 and Figure 9 the results of the measurements for CO2 level, temperatures and relative humidity (three datasets for each of the 18 modules) are graphically presented, with the following interpretation for each dataset: the minimum value is on the bottom of the whisker/vertical line; the first quartile (Q1) is on the bottom of the box; the median value is on the horizontal line inside the box; the average value is on the “x” inside the box; the third quartile (Q3) is on the top of the box; and the maximum value is on the top of the whisker/vertical line. Considering the type of analyzed information, the outliers were neglected within the graphical representation. Over 2 million recorded values (3 × 18 × the median of 37,704 values for each measured parameter) are graphically represented within the three figures.
Following the analysis of the measurements recorded with the CO2-level sensors, the results visualized in Figure 10 and Figure 11 were obtained. ΔCO2 was calculated as the difference between each measured CO2 value and the atmospheric CO2 value, which was approximated to 415 ppm.
Thus, considering the whole monitoring period, it was found that for significant periods, the indoor air quality was above the threshold values for Indoor Environment Quality Category I (IEQcat I), as defined in EN16798-1 [26]. For the bedrooms, the threshold ΔCO2 concentration equals 380 ppm (above outdoors); for the living rooms, the ΔCO2 concentration equals 550 ppm (above outdoors). For the bedrooms, the time fraction for which the threshold values were exceeded was significantly higher than for the living rooms. The median value of the time fraction which exceeded the IEQcat I threshold for adults’ bedrooms was 82.30%. For children’s bedrooms, it was 75.65%, whereas for living rooms, it was 58.78%.
Considering IEQcat IV, which corresponds to a lower comfort threshold, but no additional health risk, the values were as follows: for the bedrooms, the threshold ΔCO2 concentration equals 950 ppm (above outdoors); for the living rooms, the ΔCO2 concentration equals 1350 ppm (above outdoors). Notably, for the bedrooms, the time fraction for which the threshold values were exceeded was still significant (median values of 45.37% for the adults’ bedrooms and 50.14% for the children’s bedrooms). Basically, for almost half of the time, the bedrooms did not provide a health-safe indoor environment for the occupants, due to inadequate ventilation, with the measured indicators being above the health threshold values. For the living rooms, the median time fraction value, considering IEQcat IV, was 13.47%.
For the Z4-INT2 and Z4-INT1 modules, the lower values above the considered thresholds may be correlated with the atypical use of the apartments. In the apartment where module Z4-INT1 was located, there was a single occupant with an intensive working schedule, and the living room, where the module was located, was barely used (it had no furniture). In the apartment where module Z4-INT2 was located lived an elderly person, who was away from the residence for a key period during the monitoring (for four weeks from December 2022 to January 2023).
Module Z5-INT2 experienced some signal problems, because the bedroom where it was initially placed was screened by the walls of the apartment and the stairwell; as such, on January 10, 2023, it was moved to the kitchen, to be in greater proximity to the source module (Z5-Source).
Within the energy audits, solutions to ensure better ventilation were proposed, such as replacing the existing windows with more thermally efficient ones, equipped with controlled ventilation devices/slots within the frames. However, it was confirmed that the windows had largely been replaced over time by the owners of the apartments, in the years prior to the renovations; during the building renovations, this particular measure, although proposed within the energy audits, was not implemented as prescribed. Moreover, due to the conditions mentioned in this study, this is difficult to apply in practice.
Table 4 presents a summary of the measurements undertaken for the 16 apartments.
The survey undertaken in the study revealed that 93.75% of the household representatives perceived that the temperature in their home, during the last heating season, was comfortable. When considering the perception of the occupants under summer conditions, 75% perceived that the indoor temperature was comfortable, while 18.75% claimed that it was too hot. A fraction, 6.25%, did not answer, thus not disclosing their perceptions of either winter or summer conditions.
Therefore, this study reveals that the indoor comfort of occupants after the renovation of a building should be a crucial factor when is decided what type of solutions should be implemented in the renovation process. Other research results have confirmed that the installation of a suitable ventilation system is a key issue in the renovation of residential buildings [27].

4. Conclusions

The indoor air quality within five renovated multifamily buildings (16 apartments) was monitored for 4.5 months, during the heating season 2022–2023, in Zalău, Romania. The analysis considered the function of the rooms within the apartment, with a focus on living rooms and bedrooms, separately for adults and for children.
Low indoor air quality was measured for long time periods, thus identifying the ventilation of the building as a key issue within the renovation process and, currently, not properly being addressed. A clear problem was identified in the bedrooms; for almost half of the time, the bedrooms did not exhibit acceptable CO2 concentrations for the occupants due to inadequate ventilation, exceeding the health threshold values recommended for a safe indoor environment.
The measured values of relative humidity and indoor air temperature were, generally, within the comfort range. Although the risk of discomfort due to dry air (respiratory membrane irritations, dry eyes, sore throats, etc.) was reduced, the high levels of relative humidity in some of the monitored dwellings could have increased the risk of condensation or mold growth on the building’s envelope internal surfaces with reduced temperatures (which is a result of insufficiently corrected thermal bridges in the application of insulation).
Regarding the mitigation of the identified problem of indoor comfort, some suggestions could be made, considering the case of already-renovated MFHs against the case of MFHs to be renovated.
For renovated buildings, informing tenants about the need to ensure natural ventilation in their homes, with suggestions for ventilation schedules relayed through the placement of notices on communal staircase in the block, for example, or information by other means, might be a solution to encourage proper occupant behavior. Natural ventilation has been identified as an effective solution to rapidly decrease indoor CO2 concentrations [28]; however, its effectiveness depends on outdoor conditions (in the case of advanced natural ventilation, e.g., cross- or stack-ventilation) or on occupants’ interventions (i.e., opening windows). However, there are some disadvantages, such as the cold drafts from inlets in cold periods leading to discomfort for the occupants, and heat from naturally exhausted air cannot be recovered to reduce heat demands and energy consumption during winter.
For apartment buildings that are to be renovated (in particular, in the case of deep energy renovations), the national funding guidelines must cover the provision of appropriate ventilation (either through organized natural ventilation, e.g., by ensuring that the evacuation shafts are functional, air circulation between internal spaces is ensured, and external windows are provided with humidity-controlled openings in the windows frames, or through mechanical ventilation with heat recovery), as an eligibility criterion, with the tracking of the effective implementation of ventilation solutions. This approach to effective solutions is appropriate, considering that these performance criteria may be requested by the funding authority, which, in most cases, is the public administration.
In all cases, installing a mechanical ventilation system with heat recovery (centralized or with local units) is the recommended solution in energy renovation projects because it not only ensures the healthy indoor environment criteria, but it also facilitate the achievement of deep energy renovation requirements (or maybe even the nearly Zero Energy Building criteria) by reducing heating/cooling demands through heat recovery.

Author Contributions

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

Funding

The study was undertaken within the project “Consumer Engagement in building renovation and renewable energy cooperatives for grassroot climate action (CONGREGATE)” and was financed by the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, through the European Climate Initiative (EUKI) of the German Federal Ministry for Economic Affairs and Climate Action (BMWK), grant agreement no. 81263393.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy restrictions.

Acknowledgments

The authors would like to thank the Zalău Municipality, Romania, for their involvement, as well as all the participants who accepted the installation of the monitoring equipment in their homes.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the result.

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Figure 1. Building stock share considering the total floor area, in mm2.
Figure 1. Building stock share considering the total floor area, in mm2.
Buildings 13 02113 g001
Figure 2. The studied multifamily buildings.
Figure 2. The studied multifamily buildings.
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Figure 3. Thermal performance of the building envelope elements before/after the renovation.
Figure 3. Thermal performance of the building envelope elements before/after the renovation.
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Figure 4. Indoor parameters measured for adults’ bedroom—module Z1-Source.
Figure 4. Indoor parameters measured for adults’ bedroom—module Z1-Source.
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Figure 5. Indoor parameters measured for children’s bedroom—module Z1-INT1.
Figure 5. Indoor parameters measured for children’s bedroom—module Z1-INT1.
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Figure 6. Indoor parameters measured for living room—module Z1-INT2.
Figure 6. Indoor parameters measured for living room—module Z1-INT2.
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Figure 7. Statistical graphic representation of measured CO2 values.
Figure 7. Statistical graphic representation of measured CO2 values.
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Figure 8. Statistical graphic representation of measured indoor temperature values.
Figure 8. Statistical graphic representation of measured indoor temperature values.
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Figure 9. Statistical graphic representation of measured relative humidity values.
Figure 9. Statistical graphic representation of measured relative humidity values.
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Figure 10. ΔCO2 level analysis above EN16798-1 thresholds for IEQ Category I.
Figure 10. ΔCO2 level analysis above EN16798-1 thresholds for IEQ Category I.
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Figure 11. ΔCO2 level analysis above EN16798-1 thresholds for IEQ Category IV.
Figure 11. ΔCO2 level analysis above EN16798-1 thresholds for IEQ Category IV.
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Table 1. General characteristics of the multifamily buildings.
Table 1. General characteristics of the multifamily buildings.
BuildingConstruction YearRenovation YearHeated Floor Area (m2)Number of Apartments
Z1198520211000.4419
Z219812020829.7410
Z319842022940.7115
Z4197720223997.1265
Z5197120191700.0525
Table 2. General characteristics of the weather station modules.
Table 2. General characteristics of the weather station modules.
ParameterMeasurement
Accuracy
Measurement RangeMeasurement Frequency
CO2±50 ppm (0–1000 ppm)
±5% (1000–5000 ppm)
0–5000 ppmEvery 5 min
Temperature±0.3 °CIn: 0–50 °C
Out: −40–65 °C
Every 5 min
Relative humidity±3%0–100%Every 5 min
Pressure±1 mbar260–1260 mbarEvery 5 min
NoiseN/A35–120 dBEvery 5 min
Table 3. Monitoring modules’ location within the apartments.
Table 3. Monitoring modules’ location within the apartments.
BuildingApt. NumberNo. of OccupantsModuleRoom Destination
Z1APT. 52Z1-INT2Living room
APT. 65Z1-SourceAdults’ bedroom
APT. 74Z1-INT1Children’s bedroom
APT. 141Z1-INT3Living room
Z2APT. 22Z2-INT2Living room
APT. 43Z2-SourceLiving room
Z2-INT1Adults’ bedroom
APT. 64Z2-INT3Living room
Z3APT. 72Z3-INT3Living room
APT. 112Z3-SourceLiving room
Z3-INT1Adults’ bedroom
APT. 124Z3-INT2Children’s bedroom
Z4APT. 374Z4-SourceLiving room
Z4-INT3Children’s bedroom
APT. 381Z4-INT2Living room
APT. 391Z4-INT1Living room
Z5APT. 82Z5-INT2Kitchen
APT. 93Z5-SourceLiving room
APT. 102Z5-INT3Living room
Table 4. Summary of IAQ measurements for the time interval from 8 November 2022 to 20 March 2023.
Table 4. Summary of IAQ measurements for the time interval from 8 November 2022 to 20 March 2023.
Measured
Parameter
UnitsLiving RoomAdults’ BedroomChildren’s Bedroom
MedianAverageMedianAverageMedianAverage
CO2(ppm)117311411225144713721548
Temperature(°C)21.8521.6922.9023.1522.7022.38
Relative humidity(%)50.0051.5748.0046.7858.0053.24
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Măgurean, A.M.; Petran, H.A. Analysis of Measured CO2 Levels through Long-Term Monitoring in Renovated Multifamily Buildings: A Common Case. Buildings 2023, 13, 2113. https://doi.org/10.3390/buildings13082113

AMA Style

Măgurean AM, Petran HA. Analysis of Measured CO2 Levels through Long-Term Monitoring in Renovated Multifamily Buildings: A Common Case. Buildings. 2023; 13(8):2113. https://doi.org/10.3390/buildings13082113

Chicago/Turabian Style

Măgurean, Ancuța Maria, and Horia Alexandru Petran. 2023. "Analysis of Measured CO2 Levels through Long-Term Monitoring in Renovated Multifamily Buildings: A Common Case" Buildings 13, no. 8: 2113. https://doi.org/10.3390/buildings13082113

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