Indoor air quality modelling and measurements of a studio apartment with a mechanical exhaust system

Szczepanik-Ścisło, Nina; Flaga-Maryańczyk, Agnieszka

doi:10.1051/e3sconf/20184400171

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…The study found that CO 2 concentrations frequently exceeded recommended levels. The numerical simulations demonstrated a strong correlation with actual measurements, validating their accuracy in predicting indoor air quality [21].…”

Section: Introductionsupporting

confidence: 54%

Examining the Impact of Natural Ventilation versus Heat Recovery Ventilation Systems on Indoor Air Quality: A Tiny House Case Study

Karaiskos,

Martinez-Molina,

Alamaniotis

2024

Buildings

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Adverse health effects can arise from indoor air pollutants, resulting in allergies, asthma, and other respiratory problems among occupants. Concurrently, the energy consumption of residential buildings, particularly concerning heating, ventilation, and air conditioning (HVAC) systems, significantly contributes to global energy usage. To address these intertwined challenges, heat recovery ventilation (HRV) has emerged as a viable solution to reduce heating and cooling demands while providing fresh ventilation rates. This study aims to investigate the indoor air quality (IAQ) of an experimental tiny house building equipped with an HRV unit by simulating real-life scenarios contributing to IAQ. The research evaluates the effectiveness of HRV compared to natural ventilation in managing particle matter (PM), total volatile organic compounds (TVOC), formaldehyde (CH2O), carbon monoxide (CO), and carbon dioxide (CO2) levels. This research significantly contributes to the understanding of the different ventilation strategies’ impact on IAQ in tiny houses and offers valuable insights for improving living conditions in a unique building typology that is underrepresented in the research literature.

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Section: Introductionsupporting

confidence: 54%

Examining the Impact of Natural Ventilation versus Heat Recovery Ventilation Systems on Indoor Air Quality: A Tiny House Case Study

Karaiskos,

Martinez-Molina,

Alamaniotis

2024

Buildings

View full text Add to dashboard Cite

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“…Some studies have been performed to calculate hourly volumes of outdoor air on generic control volumes, but they did not consider real building structures and spaces [27,28]. In [29], the indoor air quality (IAQ) was modelled within a studio apartment with a mechanical exhaust system that was manually controlled by the building occupants. In [30], the effectiveness of an air terminal device with a changing geometry was verified in terms of improvement in indoor air quality.…”

Section: Introductionmentioning

confidence: 99%

Improving the Indoor Air Quality of Office Buildings in the Post-Pandemic Era—Impact on Energy Consumption and Costs

D’Agostino,

Minelli,

Minichiello

et al. 2024

Energies

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Before the COVID-19 pandemic, ventilation in buildings was not always given its due importance. The World Health Organization has highlighted the important role of air exchange with the outdoors in improving the air quality in buildings; buildings should, therefore, be equipped with mechanical ventilation or adequate air conditioning systems. This paper aims to investigate different retrofit solutions for air conditioning, evaluating them in terms of energy consumption and cost and the impact of increased outdoor air exchange rates on countering the propagation of COVID-19; the latter is the main novelty of the paper. As a case study, we take an existing office building located in Central Italy that was previously not equipped with a mechanical ventilation system (a system with primary air was introduced during the study). The energy analysis was conducted using dynamic simulation software after validation through energy bills; energy and economic analyses were conducted considering different external-air exchange rates. An optimal number of outdoor air changes was found to mitigate the risk of COVID-19 infection, a finding in line with the international literature. The increase in air changes with outdoor air leads to a rise in energy consumption and costs. These values were evaluated for different air conditioning systems and operational schedules. These drawbacks can be made less significant by combining interventions in the system with energy-efficiency measures applied to the building envelope.

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“…Despite being useful for design optimization, the installation of wind tunnels is expensive and time-consuming [20,21]. Therefore, numerical models and simulations such as CFD for wind patterns or CONTAM for interior air quality are frequently employed due to their thorough, precise, and cost-effective nature, particularly in the context of buildings [5,22]. However, certain guidelines should be followed to ensure the accuracy and precision of these results.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning for Pedestrian-Level Wind Comfort Analysis

Gür,

Karadag

2024

Buildings

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(1) Background: Artificial intelligence (AI) and machine learning (ML) techniques are being more widely employed in the field of wind engineering. Nevertheless, there is a scarcity of research on the comfort of pedestrians in terms of wind conditions with respect to building design, particularly in historic sites. (2) Objectives: This research aims to evaluate ML- and computational fluid dynamics (CFD)-based pedestrian wind comfort (PWC) analysis outputs using a novel method that relies on the sophisticated handling of image data. The goal is to propose a novel assessment method to enhance the efficiency of AI models over different urban scenarios. (3) Methodology: The stages include the analysis of climate data, CFD analysis with OpenFOAM, ML analysis using Autodesk Forma, and comparisons of the CFD and ML results using a novel image similarity assessment method based on the SSIM, MSE, and PSNR metrics. (4) Conclusions: This study effectively demonstrates the considerable potential of utilizing ML as a supplementary tool for evaluating PWC. It maintains a high degree of accuracy and precision, allowing for rapid and effective assessments. The methodology for precise comparison of two visual outputs in the absence of numerical data allows for more objective and pertinent comparisons, as it eliminates any potential distortions. (5) Recommendations: Additional research can explore the integration of ML models with climate data and different case studies, thus expanding the scope of wind comfort studies.

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Indoor air quality modelling and measurements of a studio apartment with a mechanical exhaust system

Cited by 6 publications

References 26 publications

Examining the Impact of Natural Ventilation versus Heat Recovery Ventilation Systems on Indoor Air Quality: A Tiny House Case Study

Examining the Impact of Natural Ventilation versus Heat Recovery Ventilation Systems on Indoor Air Quality: A Tiny House Case Study

Improving the Indoor Air Quality of Office Buildings in the Post-Pandemic Era—Impact on Energy Consumption and Costs

Machine Learning for Pedestrian-Level Wind Comfort Analysis

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