Numerical Study of Indoor Air Quality in a University Professor’s Office

Ovando-Chacon, Guillermo Efren; Ovando-Chacón, Sandy Luz; León, Abelardo Rodríguez; Díaz-González, Mario

doi:10.3390/su15054221

Cited by 4 publications

(1 citation statement)

References 38 publications

(40 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Existing research can predict the cooling load and change the operating frequency of air conditioners using the human flow and temperature prediction models [22]. Through the experiment of 1~5 people's airtight measurement, it is found that the indoor air quality of office buildings becomes worse with the different number of people [23].…”

Section: Experimental Theoretical Basismentioning

confidence: 99%

Carbon Emission Accounting Model for Comprehensive Medical Facilities Based on Population Flow

Yan,

Luo,

Chen

et al. 2024

Buildings

View full text Add to dashboard Cite

China is striving to reach a peak in its carbon dioxide emissions by 2030 and achieve carbon neutrality by 2060. The accurate accounting of carbon emissions is important for achieving these dual carbon goals. An extensive literature review and field measurements were conducted to investigate the specific impact of population density on carbon emissions in large integrated healthcare organizations. This research uses VOSviewer to visualize the literature analysis. We determined that the flow of people is a key factor affecting carbon emissions during the operational phase of large-scale comprehensive medical institutions. Through field measurements, the relationship between the density of pedestrian flow and indoor environment measurements was derived, and the incremental equipment operating loads caused by changes in the indoor environment were analyzed. Using the carbon emission factor method advocated by the IPCC, a carbon emission accounting model based on different flow intervals was constructed, and the energy consumption of different equipment was fully considered according to its proportion. The validation results showed that the error between the calculated value and the actual values of the model was 3.07% (less than 5%), which has good validity. The model calculates the direct and indirect carbon emissions in the operational phase based on the population flow perspective, which can provide a reference for the energy-saving design and green operation of large-scale comprehensive medical institutions. The research will continue to focus on the population flow, and the accounting model will be further optimized through machine learning algorithms.

show abstract

Section: Experimental Theoretical Basismentioning

confidence: 99%

Carbon Emission Accounting Model for Comprehensive Medical Facilities Based on Population Flow

Yan,

Luo,

Chen

et al. 2024

Buildings

View full text Add to dashboard Cite

show abstract

WITHDRAWN: Designing an Energy-Saving Air-Conditioning System and a Healthy Environment for a Campus Library

Huang,

Shih,

Zargar

2023

Energy and Built Environment

View full text Add to dashboard Cite

Assessing Indoor Air Quality and Ventilation to Limit Aerosol Dispersion—Literature Review

2023

View full text Add to dashboard Cite

The COVID-19 pandemic highlighted the importance of indoor air quality (IAQ) and ventilation, which researchers have been warning about for years. During the pandemic, researchers studied several indicators using different approaches to assess IAQ and diverse ventilation systems in indoor spaces. To provide an overview of these indicators and approaches in the case of airborne transmission through aerosols, we conducted a literature review, which covered studies both from before and during the COVID-19 pandemic. We searched online databases for six concepts: aerosol dispersion, ventilation, air quality, schools or offices, indicators, and assessment approaches. The indicators found in the literature can be divided into three categories: dose-, building-, and occupant-related indicators. These indicators can be measured in real physical spaces, in a controlled laboratory, or modeled and analyzed using numerical approaches. Rather than organizing this paper according to these approaches, the assessment methods used are grouped according to the following themes they cover: aerosol dispersion, ventilation, infection risk, design parameters, and human behavior. The first finding of the review is that dose-related indicators are the predominant indicators used in the selected studies, whereas building- and occupant-related indicators are only used in specific studies. Moreover, for a better understanding of airborne transmission, there is a need for a more holistic definition of IAQ indicators. The second finding is that although different design assessment tools and setups are presented in the literature, an optimization tool for a room’s design parameters seems to be missing. Finally, to efficiently limit aerosol dispersion in indoor spaces, better coordination between different fields is needed.

show abstract

Numerical Study of Indoor Air Quality in a University Professor’s Office

Cited by 4 publications

References 38 publications

Carbon Emission Accounting Model for Comprehensive Medical Facilities Based on Population Flow

Carbon Emission Accounting Model for Comprehensive Medical Facilities Based on Population Flow

WITHDRAWN: Designing an Energy-Saving Air-Conditioning System and a Healthy Environment for a Campus Library

Assessing Indoor Air Quality and Ventilation to Limit Aerosol Dispersion—Literature Review

Contact Info

Product

Resources

About