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Al-Rawi, Mohammad Ayad, Praneel Chand, and Archie Van Mendoza Evangelista. "Cost-Effective Customizable Indoor Environmental Quality Monitoring System." Advances in Technology Innovation 7, no. 1 (October 28, 2021): 01–18. http://dx.doi.org/10.46604/aiti.2021.8291.
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Poor indoor environmental quality (IEQ) has become a global concern for World Health Organization (WHO), and its impact on health and well-being has been exacerbated by the COVID-19 pandemic. To monitor and sanitize indoor air, this study develops a cost-effective and customizable IEQ monitoring system to detect unhealthy and low-comfort air levels. This system uses ThingSpeak (MATLAB), microcontrollers (Arduino Uno), and various low-cost sensors to measure indoor air quality (IAQ) and IEQ in terms of gas, particulate matter, temperature, sound level, and ultraviolet (UV) light. The presented system is validated with respect to temperature, relative humidity, and particulate matter by benchmarking against the Camfil air image sensor manufactured by Camfil AB, Stockholm, Sweden. The average error of temperature, relative humidity, and PM2.5 are 0.55%, 5.13%, and 3.45%, respectively.
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Riffelli, Stefano. "A Wireless Indoor Environmental Quality Logger Processing the Indoor Global Comfort Index." Sensors 22, no. 7 (March 27, 2022): 2558. http://dx.doi.org/10.3390/s22072558.
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Indoor environmental quality (IEQ) has a high-level of impact on one’s health and productivity. It is widely accepted that IEQ is composed of four categories: thermal comfort, indoor air quality (IAQ), visual comfort, and acoustic comfort. The main physical parameters that primarily represent these comfort categories can be monitored using sensors. To this purpose, the article proposes a wireless indoor environmental quality logger. In the literature, global comfort indices are often assessed objectively (using sensors) or subjectively (through surveys). This study adopts an integrated approach that calculates a predicted indoor global comfort index (P-IGCI) using sensor data and estimates a real perceived indoor global comfort index (RP-IGCI) based on questionnaires. Among the 19 different tested algorithms, the stepwise multiple linear regression model minimized the distance between the two comfort indices. In the case study involving a university classroom setting—thermal comfort and indoor air quality were identified as the most relevant IEQ elements from a subjective point of view. The model also confirms this findings from an objective perspective since temperature and CO2 merge as the measured physical parameters with the most impacts on overall comfort.
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Mallawaarachchi, Harshini, Lalith De Silva, and Raufdeen Rameezdeen. "Indoor environmental quality and occupants’ productivity." Built Environment Project and Asset Management 6, no. 5 (November 7, 2016): 462–77. http://dx.doi.org/10.1108/bepam-09-2015-0046.
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Purpose The purpose of this paper is to determine the relationship between indoor environmental quality (IEQ) and occupants’ productivity improvements in green buildings in order to propose probable enhancements of national green certification criteria. Design/methodology/approach Survey approach was selected under quantitative phenomenon. Hence, questionnaire survey was selected as a primary data collection technique. It was linked to semi-structured interviews to validate survey results. The survey data were analysed by using nonparametric statistical analysis techniques, such as significance testing and Spearman’s correlation. Statistical Package for the Social Science (SPSS) v.20 statistical analysis software was used in data analysis. Findings Seven factors were identified as significant factors which showed statistically significant monotonic correlation to major IEQ dimensions. Among those, air quality and acoustical partitioning factors confirmed a statistically significant weak positive monotonic correlation, whilst system control showed strongly positive monotonic correlation to occupants’ productivity in green buildings. Practical implications The findings can be practically implied as a basis to review the existing evaluation criteria of IEQ in national green certification system to propose probable enhancements. Originality/value The significant IEQ factors influencing occupants’ productivity were determined as the focal point of this research. Accordingly, new provisions were proposed to enhance the national green certification criteria.
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Harčárová, K., and S. Vilčeková. "Indoor environmental quality in green certified office buildings." IOP Conference Series: Materials Science and Engineering 1252, no. 1 (September 1, 2022): 012054. http://dx.doi.org/10.1088/1757-899x/1252/1/012054.
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Abstract The presented paper deals with the assessment of selected indoor environmental quality (IEQ) factors, specifically the parameters of thermal comfort and indoor air quality (IAQ), in two buildings of a modern office complex. Both buildings are LEED certified. The monitoring of selected IEQ risk factors took place in selected office spaces (cell and open-space offices) representative of all occupied areas under operating conditions. The results of real measurements of IAQ parameters indicate that the monitored office spaces in both buildings did not exceed the required limits set by the LEED certification system. The measured parameters of thermal comfort were within the permissible legislative limits and the results of Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD) indices show that a suitable level of thermal comfort can be expected in the given buildings during their occupancy. Based on the results of real measurements, it can be stated that both office buildings actually meet the LEED criteria for IAQ and guarantee a healthy and comfortable working environment for their occupants.
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Kakoulli, Christina, Alexis Kyriacou, and Michalis P. Michaelides. "A Review of Field Measurement Studies on Thermal Comfort, Indoor Air Quality and Virus Risk." Atmosphere 13, no. 2 (January 25, 2022): 191. http://dx.doi.org/10.3390/atmos13020191.
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People spend up to 90% of their time indoors where they continuously interact with the indoor environment. Indoor Environmental Quality (IEQ), and in particular thermal comfort, Indoor Air Quality (IAQ), and acoustic and visual comfort, have proven to be significant factors that influence the occupants’ health, comfort, productivity and general well-being. The ongoing COVID-19 pandemic has also highlighted the need for real-life experimental data acquired through field measurement studies to help us understand and potentially control the impact of IEQ on the occupants’ health. In this context, there was a significant increase over the past two decades of field measurement studies conducted all over the world that analyse the IEQ in various indoor environments. In this study, an overview of the most important factors that influence the IAQ, thermal comfort, and the risk of virus transmission is first presented, followed by a comprehensive review of selected field measurement studies from the last 20 years. The main objective is to provide a broad overview of the current status of field measurement studies, to identify key characteristics, common outcomes, correlations, insights, as well as gaps, and to serve as the starting point for conducting future field measurement studies.
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Abdou, Yasmin, Young Ki Kim, and Lindita Bande. "Indoor environmental quality evaluation in a hot and arid climate: a case study of a higher education office building." E3S Web of Conferences 167 (2020): 04004. http://dx.doi.org/10.1051/e3sconf/202016704004.
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Indoor Environment Quality (IEQ) refers to the overall environmental quality within a building, especially as it relates to the health and comfort of the building’s occupants. It includes several factors such as lighting levels and indoor air quality (IAQ). As humans spend a significant amount of time indoors; particularly at the workplace for up to 12 hours a day, the IEQ of the office greatly affects one’s overall well-being, health with striking effects on productivity. As for IAQ, in severe cases, high levels of carbon dioxide (CO2), particulate matter (PM), and humidity may cause headache, allergy, and asthma. A higher education (HE) office building located in United Arab Emirates University (UAEU) campus has been taken as a case study. Situated in the UAE, this is characterized by an extremely hot-arid climate. The HE building has been monitored using a set of advanced sensor devices to record indoor environmental data such as the measurements of temperature, relative humidity, lux level, particulate matter 2.5/10(PM 2.5/ 10), carbon dioxide (CO2), and total volatile organic compounds (TVOCs). Results of this paper aim to use the onsite numerical assessment and future POE assessment to verify the building’s performance and discover where the operational gaps are. Better facility management strategies will be suggested to enhance the indoor environmental quality (IEQ) as well as more findings will be discussed in this paper.
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Shen, Zhifeng, Xirui Yang, Chunlu Liu, and Junjie Li. "Assessment of Indoor Environmental Quality in Budget Hotels Using Text-Mining Method: Case Study of Top Five Brands in China." Sustainability 13, no. 8 (April 17, 2021): 4490. http://dx.doi.org/10.3390/su13084490.
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Guests’ evaluation of indoor environmental quality (IEQ) is important for identifying environment quality problems in hotels and improving service quality. This paper aims to identify IEQ problems in budget hotels in China and improve them. Specifically, 2.06 million online reviews of budget hotels were used to assess IEQ issues in China’s budget hotels in four areas: acoustic environment, luminous environment, indoor air quality (IAQ) and thermal environment. The influences of the season, region and type of customers on the IEQ evaluation were also explored, and the main causes of IEQ problems were also identified. The research results show that the IEQ complaint rates of budget hotels are relatively high. In particular, complaints about the acoustic environment are more common. Differences in seasons and climate zones have significant effects on complaints about the acoustic environment, thermal environment and IAQ. Different types of customers have different concerns about hotel IEQ, among which solo travelers and traveling couples have higher requirements for IEQ. The occurrence of IEQ problems significantly reduces a hotel’s online rating, with IAQ and the thermal environment having the greatest impacts, but the causal factors that trigger IEQ problems are relatively concentrated. The findings of this paper can provide a reference for assessing IEQ problems in hotel buildings and guide hotel managers to adopt targeted IEQ improvement programs to promote sustainable development in the hotel industry.
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Kapoor, Nishant Raj, Ashok Kumar, Tabish Alam, Anuj Kumar, Kishor S. Kulkarni, and Paolo Blecich. "A Review on Indoor Environment Quality of Indian School Classrooms." Sustainability 13, no. 21 (October 27, 2021): 11855. http://dx.doi.org/10.3390/su132111855.
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The progress of Indoor Environmental Quality (IEQ) research in school buildings has increased profusely in the last two decades and the interest in this area is still growing worldwide. IEQ in classrooms impacts the comfort, health, and productivity of students as well as teachers. This article systematically discusses IEQ parameters related to studies conducted in Indian school classrooms during the last fifteen years. Real-time research studies conducted on Indoor Air Quality (IAQ), Thermal Comfort (TC), Acoustic Comfort (AcC), and Visual Comfort (VC) in Indian school classrooms from July 2006 to March 2021 are considered to gain insight into the existing research methodologies. This review article indicates that IEQ parameter studies in Indian school buildings are tortuous, strewn, inadequate, and unorganized. There is no literature review available on studies conducted on IEQ parameters in Indian school classrooms. The results infer that in India, there is no well-established method to assess the indoor environmental condition of classrooms in school buildings to date. Indian school classrooms are bleak and in dire need of energy-efficient modifications that maintain good IEQ for better teaching and learning outcomes. The prevailing COVID-19 Pandemic, Artificial Intelligence (AI), National Education Policy (NEP), Sick Building Syndrome (SBS), Internet of Things (IoT), and Green Schools (GS) are also discussed to effectively link existing conditions with the future of IEQ research in Indian school classrooms.
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Dang, Van Thac, Ninh Nguyen, and Jianming Wang. "The impact of retailers' indoor environmental quality on consumer purchase decision." International Journal of Retail & Distribution Management 49, no. 6 (January 26, 2021): 772–94. http://dx.doi.org/10.1108/ijrdm-04-2020-0130.
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PurposeA review of 67 articles in the indoor environmental quality (IEQ) literature published from 2010 to 2020 reveals that none of prior studies have determined the IEQ of physical retailers and its impact on consumers. To fill such a gap, this study investigates the influence of physical retailers' IEQ on consumer purchase intention. The mediating roles of hedonic experience and perceived brand value (PBV) in this relationship are also determined. Furthermore, the moderating effect of perceived service quality (PSQ) on the link between physical retailers' IEQ and PBV is clarified in this study.Design/methodology/approachThis study uses structural equation modeling (SEM) to analyze a sample data of 996 consumers in China.FindingsResults show that physical retailers' IEQ has a positive impact on consumer purchase intention. Hedonic experience mediates the link between IEQ and purchase intention. PBV also mediates the relationship between IEQ and purchase intention and that between hedonic experience and purchase intention. In addition, PSQ moderates the relationship between IEQ and PBV.Originality/valueTo the best of the authors’ knowledge, this study is the first to determine the impact of IEQ on consumers in the physical retailer context. Specifically, this study enriches our knowledge about the relationship between physical retailers' IEQ and consumer purchase intention with the mediating and moderating mechanisms of hedonic experience, PBV and PSQ. The findings fill the research gaps in the IEQ literature that has ignored the impact of IEQ on consumers' perception and behavioral intention in the physical retailer context. Furthermore, this research provides evidence for retailer managers to understand and improve physical stores' IEQ.
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Tran, Minh Tien, Wenjuan Wei, Claire Dassonville, Christophe Martinsons, Pascal Ducruet, Corinne Mandin, Valérie Héquet, and Pawel Wargocki. "Review of Parameters Measured to Characterize Classrooms’ Indoor Environmental Quality." Buildings 13, no. 2 (February 3, 2023): 433. http://dx.doi.org/10.3390/buildings13020433.
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As attention to indoor environmental quality (IEQ) grows, a systematic strategy for assessing IEQ in schools needs to be developed. For this purpose, this paper presents a summary of parameters measured in school classrooms to characterize the quality of thermal, acoustic, and visual environments and indoor air quality (IAQ). The summary is based on a review of published literature reporting measurements in schools in Europe and North America in the past ten years. It also summarizes the measurement protocols and measured concentrations. Eighty-eight papers describing measurements in schools were identified and analyzed. No unique standardized measuring method was used in the reviewed studies and different parameters were measured. The most often measured parameters were those describing the thermal environment and IAQ. The former mainly comprised air temperature and relative humidity. The latter mainly comprised concentrations of carbon dioxide, particulate matter, radon, formaldehyde, and some volatile organic compounds. The measured parameters describing acoustic and visual environments mainly comprised noise level, reverberation time, and illuminance. A few studies reported additional measurements of radiant temperature, operative temperature, and speech intelligibility. Measurement protocols from different studies show inconsistency in sampling duration and location and expressed results. Measured concentrations also show high variation between studies, with some pollutants exceeding the threshold values proposed by local and/or international organizations such as the World Health Organization (WHO). This review provides the reference for developing a rating scheme and protocols for uniform characterization of classroom IEQ.
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Hwang, Ruey-Lung, Wei-An Chen, and Yu-Teng Weng. "Strengthening Taiwan’s Green Building Certification System from Aspects of Productivity and Energy Costs to Provide a Healthier Workplace." Atmosphere 13, no. 1 (January 12, 2022): 118. http://dx.doi.org/10.3390/atmos13010118.
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This study estimates the relationship between poor indoor environmental quality (IEQ) and the increasing labor costs in green buildings in Taiwan. Specifically, poor performance of IEQ including HVAC, lighting, and indoor air quality, influences the health and well-being of occupants and leads to worse productivity, ultimately causing increased personnel cost. In Taiwan’s green building certification (GBC) system, the energy-savings category is mandatory while the IEQ category is only optional. It means that certified building cases may not reach the expected level in IEQ. Thus, this study reviews the thermal environment, indoor air quality (IAQ), and illumination performances of IEQ-certified and non-IEQ-certified buildings in 20 green buildings. Building energy and IEQ simulations were conducted to analyze the relationships between indoor comfort, energy cost, and personnel cost in green buildings. The results show that IEQ-certified green buildings averagely perform better than non-IEQ-certified ones in the aspects of IEQ and building costs. Besides, 3 of 13 non-IEQ-certified green buildings undertake extremely high additional expenditure for the poor IEQ. The results correspond to some previous findings that green-certified buildings do not necessarily guarantee good building performance. This study further inspects the pros and cons of Taiwan’s GBC system and proposes recommendations against its insufficient IEQ evaluation category. As the trade-off of energy-saving benefits with health and well-being in green buildings has always been a concern, this study aims to stimulate more quantitative research and promote a more comprehensive green building certification system in Taiwan.
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Kim, Young Ki, Yasmin Abdou, Alaa Abdou, and Hasim Altan. "Indoor Environmental Quality Assessment and Occupant Satisfaction: A Post-Occupancy Evaluation of a UAE University Office Building." Buildings 12, no. 7 (July 11, 2022): 986. http://dx.doi.org/10.3390/buildings12070986.
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As occupants spend almost 90% of their day indoors, especially in the workplaces, Indoor Environmental Quality (IEQ) plays a primary role in health and wellbeing, productivity, and building energy consumption. Adopting the IEQ and Post-Occupancy Evaluation (POE), data has been gathered from nine multilevel open offices within a university building located in Al Ain, in the United Arab Emirates (UAE) for three winter months. Physical parameters were monitored using data loggers to record the main IEQ factors. In parallel, POE questionnaires have been distributed to obtain occupants’ satisfaction with the IEQ and health-related symptoms experienced in the workspaces. The IEQ and POE data have shown slightly above or below the recommended ranges with the occupants similarly and slightly dissatisfied with the building. The thermal comfort revealed concerns with 99% of temperatures below international standards where 55% of the survey respondents reported “too cold”. The IAQ measurements showed 45% and 30% of the respondents reporting “stuffy air” and “headache” which indicated symptoms that could be tracked to other parameters or a combination of several, and the findings have been discussed in detail in this paper. This research contributed to identifying correlations between measured data and occupant satisfaction and identifying common IEQ defects and their sources to better communicate with facility managers and architects.
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Sansaniwal, Sunil Kumar, Shailendra Kumar, Nikhil Jain, Jyotirmay Mathur, and Sanjay Mathur. "Towards implementing an indoor environmental quality standard in buildings: A pilot study." Building Services Engineering Research and Technology 42, no. 4 (March 8, 2021): 449–83. http://dx.doi.org/10.1177/0143624421997989.
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This paper demonstrates the implementation methodology for India’s first IEQ standard (ISHRAE Standard-10001:2016) in actual buildings. The IEQ standard encompasses the definitions of IEQ elements (i.e. thermal comfort, indoor air quality, visual comfort, and acoustic comfort), threshold values of IEQ parameters determining these elements, specifications of measuring instruments, and methodology to undertake IEQ assessments in buildings. The pilot study identified the preliminary findings to understand and evaluate the practical implementation of the IEQ standard through field measurements. The quantitative measurements of IEQ elements were carried out in two academic buildings in the Jaipur climate (warm and humid as well as hot and dry and cold). The occupant’s subjective evaluation was made through a questionnaire survey administrated concurrently with physical measurements of IEQ parameters. This study provides the clarity of method for taking IEQ measurements and comments on the availability of instruments and their specifications as recommended by the standard. Practical application: The present study is the practical implementation of the IEQ standard in buildings. This standard provides the threshold limits of IEQ parameters by classifying them into three classes covering international and local benchmarking. The standard also specifies the research methodology including field measurement protocol and specification of monitoring devices for IEQ assessment. This standard is useful for evolving IEQ rating of buildings in India where the majority of the building stocks are yet to be built.
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Devitofrancesco, Anna, Lorenzo Belussi, Italo Meroni, and Fabio Scamoni. "Development of an Indoor Environmental Quality Assessment Tool for the Rating of Offices in Real Working Conditions." Sustainability 11, no. 6 (March 19, 2019): 1645. http://dx.doi.org/10.3390/su11061645.
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The Indoor Environmental Quality (IEQ) refers to the quality of indoor spaces in relation to the health and well-being of users. IEQ is a holistic concept considering various components of the overall indoor comfort: thermo-hygrometric, lighting, air quality and acoustics. Each component is described through specific performance indicators and benchmarks. The quality of the built environment is assessed at different stages from design to operational phase. The scientific literature reports several case studies related to the assessment of the individual components of the IEQ Tools aimed at the evaluation of the overall IEQ. The paper proposes an assessment tool based on the SB Method (Sustainable Building Method) and the Multi Criteria Analysis for the evaluation of IEQ during the operational phase of a building. Each component of IEQ is analysed through objective indicators and calculation methods. The tool provides two main outcomes: a global score expressing the overall performance of the building from the IEQ perspective; quantitative evaluations of all indoor comfort components through monitoring and measurement of the environmental variables. The above contributes to select intervention areas to optimize indoor design and to identify technologies aimed at ensuring the best IEQ levels for users at the operational stage. The system was applied to an open-plan working space of an office building. Monitoring activities and measurements are carried out to detect the indoor and outdoor variables affecting the IEQ. All aspects of IEQ were analysed and quantified so to evaluate the overall performance of the building and provide data to improve the working conditions.
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Marques, Gonçalo, and Rui Pitarma. "An Internet of Things-Based Environmental Quality Management System to Supervise the Indoor Laboratory Conditions." Applied Sciences 9, no. 3 (January 28, 2019): 438. http://dx.doi.org/10.3390/app9030438.
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Indoor air quality (IAQ) is not only a determinant of occupational health but also influences all indoor human behaviours. In most university establishments, laboratories are also used as classrooms. On one hand, indoor environment quality (IEQ) conditions supervision in laboratories is relevant for experimental activities. On the other hand, it is also crucial to provide a healthy and productive workplace for learning activities. The proliferation of cost-effective sensors and microcontrollers along with the Internet of Things (IoT) architectures enhancements, enables the development of automatic solutions to supervise the Laboratory Environmental Conditions (LEC). This paper aims to present a real-time IEQ-laboratory data collection system-based IoT architecture named iAQ Plus (iAQ+). The iAQ+ incorporates an integrated Web management system along with a smartphone application to provide a historical analysis of the LEC. The iAQ+ collects IAQ index, temperature, relative humidity and barometric pressure. The results obtained are promising, representing a meaningful contribution for IEQ supervision solutions based on IoT. iAQ+ supports push notifications to alert people in a timely way for enhanced living environments and occupational health, as well as a work mode feature, so the user can configure setpoints for laboratory mode and schoolroom mode. Using the iAQ+, it is possible to provide an integrated management of data information of the spatio-temporal variations of LEC parameters which are particularly significant not only for enhanced living environments but also for laboratory experiments.
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Zhong, Lexuan, Jing Yuan, and Brian Fleck. "Indoor Environmental Quality Evaluation of Lecture Classrooms in an Institutional Building in a Cold Climate." Sustainability 11, no. 23 (November 22, 2019): 6591. http://dx.doi.org/10.3390/su11236591.
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In this paper, ventilation, indoor air quality (IAQ), thermal and acoustic conditions, and lighting were studied to evaluate the indoor environmental quality (IEQ) in an institutional building at the University of Alberta in Edmonton, Canada. This study examined IEQ parameters, including pressure, illuminance, acoustics, carbon dioxide (CO2) concentration, temperature, and humidity, with appropriate monitors allocated during a lecture (duration 50 min or 80 min) in four lecture classrooms repeatedly (N = 99) from October 2018 to March 2019 with the objectives of providing a comprehensive analysis of interactions between IEQ parameters. The classroom environments were maintained at 23 ± 1 °C and 33% ± 3% RH during two-season measurements. Indoor mean CO2 concentrations were 550–1055 ppm, and a mean sound level of 58 ± 3 dBA was observed. The air change rates were configured at 1.3–6.5 per hour based on continuous CO2 measurements and occupant loads in the lectures. A variance analysis indicated that the within-lecture classroom variations in most IEQ parameters exceeded between-lecture classrooms. A multilayer artificial neural network (ANN) model was developed on the basis of feedforward networks with a backpropagation algorithm. ANN results demonstrated the importance of the sequence of covariates on indoor conditions (temperature, RH, and CO2 level): Air change rate (ACR) > room operations (occupant number and light system) > outdoor conditions.
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Quesada-Molina, Felipe, and Sebastián Astudillo-Cordero. "Indoor Environmental Quality Assessment Model (IEQ) for Houses." Sustainability 15, no. 2 (January 10, 2023): 1276. http://dx.doi.org/10.3390/su15021276.
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Housing and its indoor environment influence its inhabitants’ comfort, productivity, and health. For this reason, it is becoming increasingly important to investigate the factors that affect indoor environmental quality. Thus, numerous sustainability assessment systems have been developed to evaluate building performance. This paper presents a model for evaluating the indoor environment of housing located in the Biobio region of Chile, integrating aspects that influence its overall quality. The research methodology proposes a strategy to identify appropriate evaluation criteria and contextualized standards. The application of the model made it possible to identify the level of performance of studio dwellings for each category, namely air quality, thermal comfort, acoustics, and lighting, as well as the overall evaluation of the IEQ. The results reflect that the lowest levels of performance in the three houses were with respect to the acoustic evaluation criteria, while the highest levels of performance were for the air quality evaluation criteria.
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Sekhar, Chandra, and William Bahnfleth. "IAQ 2020: Indoor Environmental Quality Performance Approaches Transitioning from IAQ to IEQ." Science and Technology for the Built Environment 28, no. 7 (August 9, 2022): 791. http://dx.doi.org/10.1080/23744731.2022.2095130.
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Mahdavi, Ardeshir, Christiane Berger, Veselina Bochukova, Leonidas Bourikas, Runa T. Hellwig, Quan Jin, Anna Laura Pisello, and Marcel Schweiker. "Necessary Conditions for Multi-Domain Indoor Environmental Quality Standards." Sustainability 12, no. 20 (October 13, 2020): 8439. http://dx.doi.org/10.3390/su12208439.
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A discussion of sustainability in architecture cannot be meaningfully carried out without the inclusion of most buildings’ central purpose, namely the provision of indoor environments that are accommodating of occupants’ needs and requirements. To this end, building designers and operators are expected to demonstrate compliance with codes and standards pertaining to indoor environmental quality (IEQ). However, the majority of conventional IEQ standards, codes, and guidelines have a single-domain character, in that they address IEQ in terms of a number of isolated domains (i.e., thermal, visual, acoustic, air quality). In this context, the present contribution explores the current state of multi-domain IEQ evaluation approaches and the necessary conditions for their further development and application. Toward this end, a number of common building rating schemes were selected and analyzed in detail. The results of this assessment imply the necessity of both short-term improvements of the existing schemes in terms of the transparency and plausibility of the applied point allocation and weighting strategies and the fundamental need for a deeper empirically grounded understanding of the nature of occupants’ perception of and behavior in the built environments.
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Okanya, Arinzechukwu, Japel Asogwa, and Ike Onyedikachi. "Indoor Environmental Quality (IEQ) in Nigerian Tertiary Institutions: The Effect on Performance of Building Technology Lecturers." Middle Eastern Journal of Research in Education and Social Sciences 2, no. 1 (February 6, 2021): 172–86. http://dx.doi.org/10.47631/mejress.v2i1.143.
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Purpose: This study aimed to examine the Effect of Indoor Environmental Quality (IEQ) on the Performance of Building Technology Lecturers in Nigerian tertiary institutions. Methodology: Three research questions guided the study in which survey research design was used. The entire population of the study was 216, comprising 84 building technology lecturers and 132 higher technical officers from six tertiary institutions in Nigeria. A 38-item questionnaire was used for data collection. The instrument was validated by three experts. Cronbach’s Alpha reliability method was used to determine the internal consistency of the instrument at a coefficient of 0.89. A total of 216 copies of the questionnaire were administered and 210 copies were retrieved, representing a 92% return rate. The data collected was analyzed using mean, standard deviation and t-test. Results: The study found out that there exist 5 items on how the indoor air quality (IAQ) affect building technology lecturers’ performance in Nigerian tertiary institutions, 5 items on how thermal comfort affect building technology lecturers’ performance in Nigerian tertiary institutions, 7 items on how building acoustics affect building technology lecturers’ performance in Nigerian tertiary institutions and 6 items on how ergonomics affects building technology lecturers’ performance in Nigerian tertiary institutions. The study also found 6 items on challenges of installing Indoor Environmental Quality (IEQ), facilities and 10 items on the ways of providing and improving Indoor Environmental Quality (IEQ), in Nigerian tertiary institutions. Practical Implications: Lecturers’ role on monitoring and maintenance of IEQ in offices could be enhanced through appointment of Desk officer in each faculty of the tertiary institutions. The Desk officer will liaise between the lecturers and maintenance unit of the institutions on IEQ issues. Originality/Value: The study concluded that improved indoor environmental quality has a tremendous impact on lecturer’s performance, comfort, workspace utilization and overall productivity.
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Habibi, Shahryar. "Smart innovation systems for indoor environmental quality (IEQ)." Journal of Building Engineering 8 (December 2016): 1–13. http://dx.doi.org/10.1016/j.jobe.2016.08.006.
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Asadi, Iman, Norhayati Mahyuddin, and Payam Shafigh. "A review on indoor environmental quality (IEQ) and energy consumption in building based on occupant behavior." Facilities 35, no. 11/12 (August 8, 2017): 684–95. http://dx.doi.org/10.1108/f-06-2016-0062.
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Purpose The purpose of this paper is to review the concept of occupant behavior and its relation with indoor environmental quality (IEQ) and building energy consumption. The behavior is referred to any direct or indirect action, which is selected by an occupant to manage the unpleasant indoor environmental conditions. Thermal comfort, indoor air quality, aural comfort and visual comfort are the key factors of IEQ evaluation. Human behavior significantly interacts with energy consumption in buildings. Design/methodology/approach Each IEQ parameter was reviewed separately and the overall IEQ acceptance was considered. In addition, this paper reviews the methods that were used to measure and simulate the IEQ factors, energy consumption and human behavior. Finally, the lack of knowledge in this field is based on the review demonstrated. Findings Most studies considered one or two IEQ factors to evaluate IEQ acceptance in buildings. Further, weakness of simulating all IEQ factors at the same time is the deficiency of IEQ simulation, based on reviews. In the case of occupant behavior simulation, the uncertainly of human psychological parameter is a drawback to predict behavior. Originality/value Energy consumption, occupant health and productivity are related to IEQ. Human behavior affects building energy consumption directly. Simulation software and methods can predict IEQ factors and human behavior. Therefore, reviewing the existing studies is critical to find new methods for measuring and simulating IEQ, energy consumption and human behavior in buildings.
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Diaz, Muriel, Maria Beatriz Piderit, and Shady Attia. "Parameters and indicators used in Indoor Environmental Quality (IEQ) studies: a review." Journal of Physics: Conference Series 2042, no. 1 (November 1, 2021): 012132. http://dx.doi.org/10.1088/1742-6596/2042/1/012132.
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Abstract Indoor environmental quality (IEQ) is a broad concept, which seeks to define when a built space provides welfare to its occupants. In general, it is defined as the condition of thermal, visual, acoustic and air quality comfort and depends on multiple factors. In the case of school buildings, the relevance of IEQ is related to its effects on the wellbeing, health and performance of the students and teachers. This research summarizes previous studies of IEQ from a multivariable perspective to prove that this research area needs to be further developed. Previous results show that an integrated analysis of IEQ parameters could better understand the IEQ perception of their occupants. Research on IEQ in schools generally refers to one or two aspects of the four. Even the most recent research deals with these topics separately, without using a systemic approach. The reductionism generated by isolating parameters allows us to study a parameter in detail but does not evaluate the environmental quality of the space. This is why new metrics are necessary to describe, assess and compare IEQ in educational spaces under a systemic approach.
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Mui, Kwok Wai, Tsz Wun Tsang, Ling Tim Wong, and Yuen Ping William Yu. "Evaluation of an indoor environmental quality model for very small residential units." Indoor and Built Environment 28, no. 4 (May 9, 2018): 470–78. http://dx.doi.org/10.1177/1420326x18773802.
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This study investigates the indoor environmental quality (IEQ) responses from occupants living in very small residential units that are unique to Hong Kong. Through the changes in environmental parameters, including thermal, indoor air quality, visual and aural, the study demonstrates that the overall IEQ acceptance in these units is different from the one in general residential building environments. Results show that occupants of these units are more sensitive to warmth and operative temperature change as compared to occupants of general residential buildings. A small variation of thermal acceptance suggests that the small unit occupants have already developed certain degree of tolerance to hot conditions. The adaptation to the reality of a hot environment is also reflected in the overall IEQ acceptance. It is believed that very small space residents have developed tolerance and adaptation to an unchangeable reality, changing environmental conditions does not necessarily alter their acceptance of individual IEQ aspects and overall IEQ.
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Bortolini, Rafaela, and Núria Forcada. "Association between Building Characteristics and Indoor Environmental Quality through Post-Occupancy Evaluation." Energies 14, no. 6 (March 17, 2021): 1659. http://dx.doi.org/10.3390/en14061659.
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Post-occupancy evaluations are common tools used to periodically assess Indoor Environmental Quality (IEQ) in tertiary buildings. Although the large amount of data collected from surveys contain valuable information, the influence of building characteristics on IEQ considering the different uses of the rooms and different types of occupants is rarely considered in the evaluation. This study presents an analysis of the association between building characteristics and IEQ in different building rooms (classrooms and offices) and different occupants (students and lecturers) using a post occupancy evaluation survey to 1013 occupants in 26 higher educational buildings in Spain under a Mediterranean climate. This research demonstrated that building characteristics influence IEQ perceptions of the different rooms in tertiary education buildings. The possibility of controlling the lighting, shadows or heating, ventilation air or conditioning (HVAC) systems are the most influential factors when analyzing IEQ. The findings of this research are of interest to facility managers aiming at implementing energy efficiency measures based on user-centric satisfaction or developing maintenance plans focused on IEQ enhancement.
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Asadi, Iman, Ibrahim Hussein, and Kumaran Palanisamy. "Indoor Environmental Quality (IEQ) Acceptance of Air Conditioned Buildings in Malaysia: Case Study of Universiti Tenaga Nasional." Advanced Materials Research 953-954 (June 2014): 1513–19. http://dx.doi.org/10.4028/www.scientific.net/amr.953-954.1513.
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Indoor environmental quality (IEQ) is an important topic which impacts on energy efficiency and also productivity of occupants. Thermal comfort, indoor air quality, visual comfort and aural comfort are four main physical parameters which are normally used to determine IEQ. In this paper, the results of field study on IEQ conducted in the offices and student study areas of 6 air conditioned buildings in Universiti Tenaga Nasional in Malaysia are presented. The study was conducted during the month of October and November 2013, collecting a full set of objective physical measurements and subjective assessments through questionnaires. The measured environmental parameters are indoor air temperature, relative humidity, air velocity, carbon dioxide concentration, sound pressure level and luminance. The subjective responses concern the judgment of the respondents about the IEQ parameters at the moment of measurements. The results obtained showed that 86% of the respondents found that the IEQ is acceptable and the environmental conditions are mainly within the limits set by the various guidelines and standards in Malaysia. The neutral IEQ values were also determined through linear regression analysis of the sensation votes.
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Piasecki and Kostyrko. "Combined Model for IAQ Assessment: Part 1—Morphology of the Model and Selection of Substantial Air Quality Impact Sub-Models." Applied Sciences 9, no. 18 (September 18, 2019): 3918. http://dx.doi.org/10.3390/app9183918.
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Indoor air quality (IAQ) is one of the most important elements affecting a building user’s comfort and satisfaction. Currently, many methods of assessing the quality of indoor air have been described in the literature. In the authors’ opinion, the methods presented have not been collected, systematized, and organized into one multi-component model. The application purpose of the assessment is extremely important when choosing IAQ model. This article provides the state-of-the-art overview on IAQ methodology and attempts to systematize approach. Sub-models of the processes that impact indoor air quality, which can be distinguished as components of the IAQ model, are selected and presented based on sensory satisfaction functions. Subcomponents of three potential IAQ models were classified according to their application potential: IAQ quality index, IAQ comfort index, and an overall health and comfort index. The authors provide a method for using the combined IAQ index to determine the indoor environmental quality index, IEQ. In addition, the article presents a method for adjusting the weights of particular subcomponents and a practical case study which provides IAQ and IEQ model implementation for a large office building assessment (with a BREEAM rating of excellent).
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Lee, Jong-Won, Deuk-Woo Kim, Seung-Eon Lee, and Jae-Weon Jeong. "Indoor Environmental Quality Survey in Research Institute: A Floor-by-Floor Analysis." Sustainability 13, no. 24 (December 20, 2021): 14067. http://dx.doi.org/10.3390/su132414067.
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Comprehensively monitoring indoor environmental quality (IEQ) parameters and their dynamic relations is essential to ensure improved productivity and a healthy environment for building occupants. Although IEQ significantly influences working efficiency, studies addressing this aspect with researchers in institutes as the focal point are limited. Thus, this study employed drill-down analyses, such as floor-by-floor and building-by-building examinations and used an occupant IEQ survey approach to evaluate working conditions in research buildings. This study systematically and objectively assessed IEQ using the Korea building occupant survey system. The results indicate that acoustic qualities affect the work productivity and satisfaction of the building occupants. The floor-by-floor analysis is necessary to identify IEQ factors and the reasons for the satisfaction of occupants. Additionally, it is important to improve the user-friendliness of the system, implement frequent survey distribution systems, and empirically analyze data associations among building, spatial, and demographical characteristics.
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Al-Rawi, Mohammad, Annette Lazonby, and Abel A. Wai. "Assessing Indoor Environmental Quality in a Crowded Low-Quality Built Environment: A Case Study." Atmosphere 13, no. 10 (October 17, 2022): 1703. http://dx.doi.org/10.3390/atmos13101703.
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Home heating, cooling and ventilation are a major concern for those living in low-quality built environments, particularly those with high occupancy rates (crowded houses). In New Zealand, both owner-occupiers and tenants can experience problems associated with poor Indoor Environmental Quality (IEQ), such as poor thermal comfort and dampness, when Heating Ventilation and Air-Conditioning (HVAC) systems are not installed, improperly installed or too expensive to run. Occupants of poorer households are the most affected by high installation or running costs of HVAC systems, and are also more likely to live in households with a higher level of crowding. Poor IEQ in housing is associated with adverse health outcomes, particularly respiratory illness. This paper outlines the IEQ problems experienced by households living in an area of New Zealand with higher levels deprivation and shows how an HVAC system could be employed to remedy poor IEQ. This report presents a case study of a house with poor IEQ that was selected from a survey conducted across 24 homes in the Manukau, Auckland region of New Zealand. The IEQ results are presented for this house, which performs poorly in terms of relative humidity, temperature and thermal comfort. This house is then analysed using the computational fluid dynamics (CFD) approach in ANSYS CFX 2021R1 based on the American Society of Heating, Refrigeration and Airconditioning Engineers (ASHRAE) standard 55-2017 and a model of temperature and air flow is created in the software, which can identify ways to improve these parameters in the house. These results are compared with the New Zealand Healthy Homes Standards 2019. The simulation showed the system was capable of lifting the indoor temperature to above 21 ℃, eliminating cold spots and improving thermal comfort, and reduced relative humidity to below 50%.
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Kraus, Michal, and Petra Novakova. "Gender Differences in Perception of Indoor Environmental Quality (IEQ)." IOP Conference Series: Materials Science and Engineering 603 (September 18, 2019): 052084. http://dx.doi.org/10.1088/1757-899x/603/5/052084.
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Wong, L. T., K. W. Mui, and T. W. Tsang. "An open acceptance model for indoor environmental quality (IEQ)." Building and Environment 142 (September 2018): 371–78. http://dx.doi.org/10.1016/j.buildenv.2018.06.031.
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Serroni, Serena, Marco Arnesano, Luca Violini, and Gian Marco Revel. "An IoT measurement solution for continuous indoor environmental quality monitoring for buildings renovation." ACTA IMEKO 10, no. 4 (December 30, 2021): 230. http://dx.doi.org/10.21014/acta_imeko.v10i4.1182.
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The measurement of Indoor Environmental Quality (IEQ) requires the acquisition of multiple quantities regarding thermal comfort and indoor air quality. The IEQ monitoring is essential to investigate the building’s performance, especially when renovation is needed to improve energy efficiency and occupants’ well-being. Thus, IEQ data should be acquired for long periods inside occupied buildings, but traditional measurement solutions could not be adequate. This paper presents the development and application of a non-intrusive and scalable IoT sensing solution for continuous IEQ measurement in occupied buildings during the renovation process. The solution is composed of an IR scanner for mean radiant temperature measurement and a desk node with environmental sensors (air temperature, relative humidity, CO2, PMs). The integration with a BIM-based renovation approach was developed to automatically retrieve building’s data required for sensor configuration and KPIs calculation. The system was installed in a nursery located in Poland to support the renovation process. IEQ performance measured before the intervention revealed issues related to radiant temperature and air quality. Using measured data, interventions were realized to improve the envelope insulation and the occupant’s behaviour. Results from post-renovation measurements showed the IEQ improvement achieved, demonstrating the impact of the sensing solution.
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Danza, Ludovico, Lorenzo Belussi, and Francesco Salamone. "A multiple linear regression approach to correlate the Indoor Environmental Factors to the global comfort in a Zero-Energy building." E3S Web of Conferences 197 (2020): 04002. http://dx.doi.org/10.1051/e3sconf/202019704002.
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The quality of the indoor environment, in terms of thermal, lighting, air and acoustic quality, grouped in the Indoor Environmental Quality (IEQ) concept, plays a key role in occupants’ wellbeing and satisfaction. Only in recent years IEQ has been investigated as a whole. Today, IEQ occupies the same place of energy efficiency in the design of buildings, especially those with high performance level as the Zero-Energy Buildings (ZEB). The research deals with an experimental campaign during the cooling season carried out in a ZEB laboratory that involved 100 participants aimed at evaluating the IEQ and the indoor environments (e.g. thermal and air quality). The test consists in a survey, during which each participant is required to answer a questionnaire about how he feels the indoor environment. The experimental campaign was completed with a monitoring activity aimed at detecting the main environmental variables that can affect the participants’ answers. Collected data were treated with regression techniques to highlight possible relationships between them. The results show how in a building with high levels of energy performances the air quality plays a key role on occupants’ evaluation.
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Kapoor, Nishant Raj, Ashok Kumar, Chandan Swaroop Meena, Anuj Kumar, Tabish Alam, Nagesh Babu Balam, and Aritra Ghosh. "A Systematic Review on Indoor Environmental Quality in Naturally Ventilated School Classrooms: A Way Forward." Advances in Civil Engineering 2021 (February 17, 2021): 1–19. http://dx.doi.org/10.1155/2021/8851685.
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This review presents the existing state-of-the-art practices of indoor environmental quality (IEQ) in naturally ventilated school buildings and is mainly focused on the components of IEQ like thermal comfort, indoor air quality with ventilation, and visual and acoustic comfort. This article also discusses the impacts of COVID-19 on naturally ventilated school buildings, highlighting the obviousness of dynamic applications that concentrate on reducing COVID-19 effects in naturally ventilated school buildings. The importance of the concerned issues and factors are discussed in detail for future research direction. This review is a step toward the development of the IEQ standard for naturally ventilated school buildings.
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Aigbavboa, Clinton, and Wellington Didibhuku Thwala. "PERFORMANCE OF A GREEN BUILDING'S INDOOR ENVIRONMENTAL QUALITY ON BUILDING OCCUPANTS IN SOUTH AFRICA." Journal of Green Building 14, no. 1 (January 2019): 131–48. http://dx.doi.org/10.3992/1943-4618.14.1.131.
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Indoor environmental quality (IEQ) is important to the health, comfort, and well-being of building occupants. Unsatisfactory IEQ is associated with a number of phenomena, most notably, sick building syndrome (SBS), building-related illnesses (BRIs), and multiple chemical sensitivity (MCS), which have major negative effects on productivity. However, green building investors (owners) are not only concerned about reducing the negative impact of their buildings on the environment, but also about the potentially negative impact green buildings can have on their employees' productivity. This research sets out to address, through a questionnaire survey in South Africa, what constitutes the determinants of green building occupants' satisfaction with the IEQ elements of a green building and the health implications of a building's IEQ on the building occupants. Data analysis (involving a one-sample t-test) reveals some interesting findings in regard to what constitutes the determinants of green building occupants' satisfaction with the IEQ elements and the health implications of the IEQ elements of a five-star green rated building in South Africa. Findings from the survey revealed that the occupants of the building were not satisfied with the green building's IEQ, most especially the ineffectiveness of blocking natural and artificial lighting. Also, it was revealed that the IEQ with particular reference to the noise level and ventilation of the space has some serious health implications for the building occupants. The occupants' evaluation revealed that the major health issues from which they suffer include fatigue, headache, common cold, coughing, and influenza, and these affect their productivity and performance. Since building occupants are a rich source of information about IEQ assessment and its effect on productivity, the study can be used to assess the performance of green buildings, identify areas needing improvement, and provide useful feedback to designers and operators about specific aspects of green building design features and operating strategies that need improvement. This study adds to the body of knowledge on green buildings' IEQ performance.
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Sung Heui Cho, Tae Kyung Lee, and Jeong Tai Kim. "Residents’ Satisfaction of Indoor Environmental Quality in Their Old Apartment Homes." Indoor and Built Environment 20, no. 1 (December 10, 2010): 16–25. http://dx.doi.org/10.1177/1420326x10392010.
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The purpose of this study is to determine the characteristics of indoor environmental quality (IEQ) of old apartment homes and the residents’ satisfaction with living in these properties. About 168 households were surveyed in this study. The survey was based on the evaluation of deterioration using housing performance indicators and the questionnaire study. First, this study compared and analysed the results of both technical evaluation and residents’ satisfaction on the IEQ of old apartments based on case studies. Second, the study validated the IEQ evaluation of the home environments using multiple regression analyses based on residents’ satisfaction and their perception about the indoor environment. Third, the importance of the indoor environment composition factors contributing to the home environmental quality was assessed based on the survey of residents’ perception and experts’ opinions. Analytic hierarchy process was used to evaluate the housing experts’ opinions. The objective evaluation by technical criteria was also carried out to determine the conditions of the apartment homes. This study should contribute to elaborate evaluation models for the development of guidelines for the home environmental quality of high-rise and high-density old apartment buildings in Korea.
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Piasecki, Michał, Mateusz Kozicki, Szymon Firląg, Anna Goljan, and Krystyna Kostyrko. "The Approach of Including TVOCs Concentration in the Indoor Environmental Quality Model (IEQ)—Case Studies of BREEAM Certified Office Buildings." Sustainability 10, no. 11 (October 26, 2018): 3902. http://dx.doi.org/10.3390/su10113902.
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The article analyzes the impact of measured concentrations of Total Volatile Organic Compounds (TVOC) emissions determined for four BREEAM certified buildings on the Indoor Air Quality Index (IAQindex) and the overall Indoor Environment Quality index (IEQindex). The IEQindex indicates the percentage of building users who are satisfied from the indoor environment. In existing IEQ models, currently the concentration of CO2 is mostly used to evaluate the IAQindex sub-component. Authors point out that it is recommended to use TVOC instead CO2 at pre-occupant stage where building is mainly polluted by emission from finishing products. The research provides the approach where the component related to the emission of TVOCs is implemented to IEQ model. The first stage of assessment was a test of the volatile organic compounds concentrations in case study buildings. Secondly, the analysis results were assigned into the number of dissatisfied users (PD(IAQ)) from the theoretical function given by Jokl-Fanger resulting from the Weber-Fechner equation. Finally, the overall IEQindex was calculated. The IEQ approach proposed in this paper is mainly based on a consideration of EN 15251 and scientifically accepted models.
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Alizadeh, Sima, Catherine E. Bridge, Bruce H. Judd, and Valsamma Eapen. "Home Indoor Environmental Quality and Attention Deficit Hyperactivity Disorder." Sustainability 15, no. 4 (February 6, 2023): 2899. http://dx.doi.org/10.3390/su15042899.
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Indoor environmental quality (IEQ) has been found to influence children’s health and behaviour, particularly conditions, such as attention deficit hyperactivity disorder (ADHD). This research aimed to ascertain whether housing IEQ impacted the symptoms of ADHD and its related behaviours. This study involved 435 parents of children and adolescents (aged 5–17) with ADHD residing in Australia. We utilised an online survey tool comprising the home version of the ADHD Rating Scale for Children and Adolescents and the Housing Environmental Quality Assessment Tool. The findings revealed that all the housing IEQ factors were associated with both the diagnosis and the severity of the symptoms. The results indicated that, for over one in ten children with ADHD (13.3%), the diagnosis was impacted by a collective contribution of air quality, acoustic quality, lighting quality, and the thermal comfort within their home. The air quality and the thermal comfort predicted a 4% variance in the severity of inattention. Additionally, air and lighting qualities predicted a 9.7% variance in the severity of hyperactivity-impulsivity, and all the factors of air quality, acoustic quality, lighting quality, and thermal comfort predicted a 10.9% variance in the severity of combined ADHD. In conclusion, this research provided insights into the importance of housing features and suggests that improving the housing indoor environmental quality, mainly thermal comfort, air, and lighting quality, could positively correlate with alleviating ADHD symptoms and severity among children and adolescents. Therefore, ensuring an appropriate indoor environmental quality should be prioritised in housing design, modification, and building, especially for those with ADHD.
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Yuan, Jing, Xiaohui Zhao, Giwa Abdulmoseen Segun, Mohammadtaghi Vakili, and Lexuan Zhong. "Indoor Environmental Health Assessment in Eco-Building and Its Case Study." Atmosphere 12, no. 6 (June 21, 2021): 794. http://dx.doi.org/10.3390/atmos12060794.
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It is necessary to consider all aspects of environmental factors when assessing the health impact of an eco-building environment on its occupants. However, the multi-criteria and imprecise nature of the indoor-environment in the eco-buildings has caused difficulties in quantifying the indoor environmental pollution level. This paper describes the optimal classification and priority weight methods, which are particularly useful for assessing the indoor environmental quality (IEQ) of an eco-building to demonstrate its innovative applications. The analytic hierarchy process (AHP) was used to set up the strategic decision-making evaluation system for computing the indoor environment index (IEI) risk ranking of eco-buildings. Combined with this, a Microsoft Delphi-based IEQ intelligent forecasting software simulations package was developed, and the innovative application of indoor environmental comprehensive assessment was verified by a case study in Shanghai. The evaluation result was analyzed by the priority weight methods and the AHP decision-making system noted above. This health assessment method and system provides an innovative way for the indoor environment risk evaluation of eco-buildings and is helpful to standardize the local building market.
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Malmqvist, Tove. "Environmental rating methods: selecting indoor environmental quality (IEQ) aspects and indicators." Building Research & Information 36, no. 5 (October 2008): 466–85. http://dx.doi.org/10.1080/09613210802075841.
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Aguilar, Antonio J., María L. de la Hoz-Torres, Diego P. Ruiz, and Mª Dolores Martínez-Aires. "Monitoring and Assessment of Indoor Environmental Conditions in Educational Building Using Building Information Modelling Methodology." International Journal of Environmental Research and Public Health 19, no. 21 (October 22, 2022): 13756. http://dx.doi.org/10.3390/ijerph192113756.
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Managing indoor environmental quality (IEQ) is a challenge in educational buildings in the wake of the COVID-19 pandemic. Adequate indoor air quality is essential to ensure that indoor spaces are safe for students and teachers. In fact, poor IEQ can affect academic performance and student comfort. This study proposes a framework for integrating occupants’ feedback into the building information modelling (BIM) methodology to assess indoor environmental conditions (thermal, acoustic and lighting) and the individual airborne virus transmission risk during teaching activities. The information contained in the parametric 3D BIM model and the algorithmic environment of Dynamo were used to develop the framework. The IEQ evaluation is based on sensor monitoring and a daily schedule, so the results show real problems of occupants’ dissatisfaction. The output of the framework shows in which range the indoor environmental variables were (optimal, acceptable and unacceptable) and the probability of infection during each lecture class (whether or not 1% is exceeded). A case study was proposed to illustrate its application and validate it. The outcomes provide key information to support the decision-making process for managing IEQ and controlling individual airborne virus transmission risks. Long-term application could provide data that support the management of ventilation strategies and protocol redesign.
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Hamad, Shalaw Hamza, and Muamal Ibrahim. "Developing an Indoor Environment Assessment Tool for Residential Buildings." Journal of Engineering 26, no. 11 (November 1, 2020): 62–83. http://dx.doi.org/10.31026/j.eng.2020.11.04.
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The Indoor Environmental Quality (IEQ) describes an indoor space condition that the wellbeing and comfortability are provided for the users. Many researchers have highlighted the importance of adopting IEQ criteria, although they are not yet well defined in the Kurdistan region. However, environmental quality is not necessary for the contemporary buildings of the Kurdistan Region, and there is no measurement tool in the Region. This research aims to develop an IEQ assessment tool for the Kurdistan region using Mixed method methodology, both qualitative and quantitative. Therefore, a Delphi Technique was used as a method initially developed as systematic, interactive forecasting on a panel of experts. Thirty-five Delphi Candidates have reached an agreement on selecting the criteria for the IEQ, as Spss and a particular equation has used to find criteria weights. As a result, seven criteria with 22 indicators have been selected by expert ratings. A computer-based tool (KIEQA) has been created based on the scores selected by experts. Research results show that good IEQ is essential for interior design. It also offers a suitable indoor environment for users. This research has many significant advantages since it can raise awareness of issues of indoor environmental quality for architects, experts, and policymakers. Furthermore, to draw up an action plan for existing and new interior design projects in the Kurdistan Region. Future researches may concentrate on the correlation between IEQ criteria and to develop this tool regarding different building typologies.
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Puglisi, G. E., G. Spigliantini, N. Oggiani, L. Shtrepi, M. C. Masoero, S. P. Corgnati, and A. Astolfi. "Indoor environmental quality and global comfort: an in-field study in workspaces." Journal of Physics: Conference Series 2069, no. 1 (November 1, 2021): 012169. http://dx.doi.org/10.1088/1742-6596/2069/1/012169.
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Abstract The EN 16798-1 specifies the requirements to assess indoor environmental quality (IEQ) considering thermal, air quality, lighting and acoustics domains. A drawback of the standard is that it is based on an objective evaluation approach and does not account for the subjective perception. Also, the standard does not assess global IEQ nor comfort as a single index for the interaction of all the domains. This work tests the metrics proposed in the standard relating them to the occupants’ evaluations. An in-field monitoring campaign was performed in the ARPA headquarter in Aosta (Italy), acquiring quantities to be correlated with the subjective perception of IEQ gained through surveys. An insight on the possible approach to communicate IEQ and comfort feedbacks to the occupants was investigated to promote their awareness. Preliminary results show that the occupants’ perception can be predicted by adopting the approach proposed in EN 16798-1 in the case of thermal comfort, but limitations emerge about air quality, lighting and acoustics. Such result allows investigating how the environmental variables considered by the standard (e.g., the maximum sound pressure level or the maximum CO2 concentration) can be adopted as predictors of comfort, thus how new parameters and assessment methods should be introduced.
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Donkers, Alex, Dujuan Yang, Bauke de Vries, and Nico Baken. "Semantic Web Technologies for Indoor Environmental Quality: A Review and Ontology Design." Buildings 12, no. 10 (September 23, 2022): 1522. http://dx.doi.org/10.3390/buildings12101522.
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Indoor environmental quality (IEQ) affects occupants’ satisfaction, health, productivity, comfort, and well-being. IoT developments enable better monitoring of IEQ parameters; however, integrating the various types of heterogeneous data from both the IoT and BIM domains is cumbersome and capital intensive, and therefore, limits the potential of smart buildings. Semantic web technologies can reduce heterogeneity issues, which is necessary to facilitate complex IEQ models. An ontology integrating data related to a building’s topology and its static and dynamic properties is still lacking. The outline of this research is twofold. First, a systematic literature review was conducted to find state-of-the-art semantic web technologies related to building topology, static properties, and dynamic properties from the IoT and BIM domains. By graphically reviewing various ontologies, their valuable patterns, commonalities, and best practices were revealed. Secondly, those results were used to develop a new ontology that integrates topological building information with static and dynamic properties. This Building Performance Ontology (BOP) provides a generic upper-level description of properties and two lower-level ontologies representing observations and actuation. The ontology results in intuitive queries and is both horizontally and vertically extensible. Multiple levels of detail are introduced to ensure practical applicability and efficient patterns based on the data modeler’s needs. BOP opens up a new range of research opportunities in the IEQ domain.
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Ortiz Perez, Alvaro, Benedikt Bierer, Louisa Scholz, Jürgen Wöllenstein, and Stefan Palzer. "A Wireless Gas Sensor Network to Monitor Indoor Environmental Quality in Schools." Sensors 18, no. 12 (December 9, 2018): 4345. http://dx.doi.org/10.3390/s18124345.
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Schools are amongst the most densely occupied indoor areas and at the same time children and young adults are the most vulnerable group with respect to adverse health effects as a result of poor environmental conditions. Health, performance and well-being of pupils crucially depend on indoor environmental quality (IEQ) of which air quality and thermal comfort are central pillars. This makes the monitoring and control of environmental parameters in classes important. At the same time most school buildings do neither feature automated, intelligent heating, ventilation, and air conditioning (HVAC) systems nor suitable IEQ monitoring systems. In this contribution, we therefore investigate the capabilities of a novel wireless gas sensor network to determine carbon dioxide concentrations, along with temperature and humidity. The use of a photoacoustic detector enables the construction of long-term stable, miniaturized, LED-based non-dispersive infrared absorption spectrometers without the use of a reference channel. The data of the sensor nodes is transmitted via a Z-Wave protocol to a central gateway, which in turn sends the data to a web-based platform for online analysis. The results show that it is difficult to maintain adequate IEQ levels in class rooms even when ventilating frequently and that individual monitoring and control of rooms is necessary to combine energy savings and good IEQ.
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Shamseldin, Amal, Ashraf Balabel, Mamdooh Alwetaishi, Ahmed Abdelhafiz, Usama Issa, Ibrahim Sharaky, Mohamed Al-Surf, and Mosleh Al-Harthi. "Adjustment of the Indoor Environmental Quality Assessment Field for Taif City-Saudi Arabia." Sustainability 12, no. 24 (December 9, 2020): 10275. http://dx.doi.org/10.3390/su122410275.
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Along with the global concern of the Environmental Assessment of Buildings, the Kingdom of Saudi Arabia (KSA) had recently used its system, Mostadam, to provide a suitable method to assess its buildings environmentally. Nevertheless, Mostadam still cannot be used for all Saudi Arabia regions without having misleading results, which is due to its various internal regions with their various characteristics. Taif city has its unique environmental characteristics, which affect all the environmental buildings’ assessment fields. This research aimed to adjust the Indoor Environmental Quality (IEQ) field of Mostadam according to Taif characteristics. The research analyzed Taif characteristics that have an impact on the IEQ field, which are mainly related to the occupants’ different comfort needs and health requirements. Then, according to an analytical methods, authors proposed some changes to adjust Mostadam IEQ field according to these characteristics. The research resulted in an obvious difference between the resulted IEQ items weights and formulation versus the origin one of Mostadam, which proves the need for such adjustment to achieve a fair and trusted assessment to achieve the utmost credible assessment results when assessing buildings environmentally in Taif. It is recommended to adjust other assessment fields similarly later on, and then globally.
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Liu, Fengxuan, Alice Chang-Richards, Kevin I.-Kai Wang, and Kim Natasha Dirks. "Indoor environmental factors affecting the productivity of workers in office buildings." IOP Conference Series: Earth and Environmental Science 1101, no. 2 (November 1, 2022): 022001. http://dx.doi.org/10.1088/1755-1315/1101/2/022001.
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Abstract Poor indoor environmental quality (IEQ) has been found to contribute significantly to productivity losses, with the extent of the contribution differing according to the type of office work in which workers are engaged. However, few studies focus specifically on the occupants of university office buildings where the work being undertaken involves a significant amount of academic research that is expected to require high levels of concentration, insight, creativity, and consistency than is needed in many other types of work. To develop a preliminary understanding of the IEQ factors affecting the productivity of people working in university office buildings, a pilot questionnaire was administered to postgraduate students to validate the IEQ factors that have been found to impact on productivity. To date, twelve postgraduate students from three different office buildings in The University of Auckland completed the questionnaire. The results showed that noise, temperature, air quality, and lighting were the factors most reported on with respect to effects on work productivity. The adopted IEQ factors in this questionnaire instrument is reliable. The findings from this study will help advance understanding of the IEQ factors affecting the productivity of workers in university office buildings, and provide insights for architects, building owners, office managers, and office users to help prevent or mitigate negative impacts on productivity by managing the IEQ conditions in workplaces. Future research will involve the analysis of data from staff as well as students to identify any possible differences that might exist between the two groups of workers engaged in academic research.
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Kwok Wai, Mui, C. T. Cheung, and L. T. Wong. "Benchmarking Indoor Environmental Quality (IEQ) in Air-conditioned University Classrooms." ISEE Conference Abstracts 2013, no. 1 (September 19, 2013): 3482. http://dx.doi.org/10.1289/isee.2013.p-1-32-02.
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Piasecki. "Practical Implementation of the Indoor Environmental Quality Model for the Assessment of Nearly Zero Energy Single-Family Building." Buildings 9, no. 10 (October 1, 2019): 214. http://dx.doi.org/10.3390/buildings9100214.
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The article presents a practical implementation of the indoor quality model. The indoor environmental quality (IEQ) model, including its essential elements (TCindex—thermal comfort, IAQindex—indoor air quality, ACcindex—acoustic comfort and Lindex—daylight quality), is used to evaluate a case-study single-family building built with the nearly zero energy (NZEB) standard. The results of comfort sub-indices based on the measured indoor parameters are aggregated into one IEQindex value representing the predicted building occupants’ satisfaction in percentage terms. The author’s intention is to use the proposed model in broader civil and environmental engineering practice, especially in terms of supporting the energy performance certification. The results obtained using the IEQ model were also compared with the results obtained with a similar method based on the comprehensive assessment system for built environment efficiency (CASBEE) approach for the same building.
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Park, Jihyun, Vivian Loftness, and Azizan Aziz. "Post-Occupancy Evaluation and IEQ Measurements from 64 Office Buildings: Critical Factors and Thresholds for User Satisfaction on Thermal Quality." Buildings 8, no. 11 (November 12, 2018): 156. http://dx.doi.org/10.3390/buildings8110156.
Full textAbstract:
The indoor environmental quality (IEQ) of buildings can have a strong influence on occupants’ comfort, productivity, and health. Post-occupancy evaluation (POE) is necessary in assessing the IEQ of the built environment, and it typically relies on the subjective surveys of thermal quality, air quality, visual quality, and acoustic quality. In this research, we expanded POE to include both objective IEQ measurements and the technical attributes of building systems (TABS) that may affect indoor environment and user satisfaction. The suite of three tools, including user satisfaction survey, workstation IEQ measurements, and TABS in the National Environmental Assessment Toolkit (NEAT) has been deployed in 1601 workstations in 64 office buildings, generating a rich database for statistical evaluation of possible correlations between the physical attributes of workstations, environmental conditions, and user satisfaction. Multivariate regression and multiple correlation coefficient statistical analysis revealed the relationship between measured and perceived IEQ indices, interdependencies between IEQ indices, and other satisfaction variables of significance. The results showed that overall, 55% of occupants responded as “satisfied” or “neutral”, and 45% reported being “dissatisfied” in their thermal quality. Given the dataset, air temperature in work area, size of thermal zone, window quality, level of temperature control, and radiant temperature asymmetry with façade are the critical factors for thermal quality satisfaction in the field. As a result, the outcome of this research contributes to identifying correlations between occupant satisfaction, measured data, and technical attributes of building systems. The presented integrated IEQ assessment method can further afford robust predictions of building performance against metrics and guidelines for IEQ standards to capture revised IEQ thresholds that impact building occupants’ satisfaction.