2020
DOI: 10.3390/su12208737
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Energy Cost for Effective Ventilation and Air Quality for Healthy Buildings: Plant Proposals for a Historic Building School Reopening in the Covid-19 Era

Abstract: The COVID-19 pandemic has changed the engineering/technical approach to building and plant design. In Italy, most of the school heritage belongs to historical buildings, which are not only under constraints for the protection and prevention of loss of cultural heritage but are often created with a different intended use. This fact implies that any plant engineering project is really complex. Starting from the current sanitary measures for reopening during the Covid-19 era and the crucial current research on th… Show more

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Cited by 25 publications
(19 citation statements)
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“… Li et al (2021) ; Sen and Singh (2021) ; Lim et al (2011) ; Y. Li et al (2005) ; Gao et al (2008) Building Information Modelling Pavon et al (2020) Transient Systems Simulation Balocco and Leoncini (2020) Statistical Model Applied Probability Model Kaplan (2020) ; Tupper et al (2020) Linear Regression Cartenì et al (2021) ; Hong et al (2021) Multilevel Linear Modelling Hamidi and Zandiatashbar (2021) Logistic Regression Spencer et al (2020) Negative Binomial Regression Badr et al (2020) ; Klompmaker et al (2020) ; Rader et al (2020) Ordinal Regression Campisi et al (2020) Path Modelling Sung and Kwak (2016) Structural Equation Modelling Hamidi et al (2020) ; M.M. Rahman et al (2020) Difference-in-Difference Regression Yiyang Yang et al (2021) Geographically Weighted Regression Xin Li et al (2020) ; Ye and Qiu (2021) Getis-Ord Gi* Statistics M.R.…”
Section: Resultsmentioning
confidence: 99%
“… Li et al (2021) ; Sen and Singh (2021) ; Lim et al (2011) ; Y. Li et al (2005) ; Gao et al (2008) Building Information Modelling Pavon et al (2020) Transient Systems Simulation Balocco and Leoncini (2020) Statistical Model Applied Probability Model Kaplan (2020) ; Tupper et al (2020) Linear Regression Cartenì et al (2021) ; Hong et al (2021) Multilevel Linear Modelling Hamidi and Zandiatashbar (2021) Logistic Regression Spencer et al (2020) Negative Binomial Regression Badr et al (2020) ; Klompmaker et al (2020) ; Rader et al (2020) Ordinal Regression Campisi et al (2020) Path Modelling Sung and Kwak (2016) Structural Equation Modelling Hamidi et al (2020) ; M.M. Rahman et al (2020) Difference-in-Difference Regression Yiyang Yang et al (2021) Geographically Weighted Regression Xin Li et al (2020) ; Ye and Qiu (2021) Getis-Ord Gi* Statistics M.R.…”
Section: Resultsmentioning
confidence: 99%
“…In areas such as architecture, landscaping, and environment, natural purification of indoor air using plants is being actively investigated (Armijos Moya et al, 2021). However, existing studies measure only the effect in unit space, at a basic research level, for determining the effect of plants in improving the environment, in the area of landscaping (Balocco and Leoncini, 2020;Mata et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is necessary to improve the indoor air quality and, to avoid high concentrations of harmful substances, it is needed to have good ventilation in the house ( Chen Ren, 2019 ; Garcia-Chevesich, 2014 ; Ogen, 2020 ; World Health Organization, WHO Air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide: Global update 2005, 2005 ; World Health Organization, Statement on the second meeting of the Emergency Committee of the International Health Regulations (2005) on the novel coronavirus outbreak (2019-nCoV)., 2020c ). Furthermore, the presence of people in a closed space for a number of hours higher than the usual may imply an increase in the concentration of CO 2 in our rooms ( Balocco, 2020 ; De Gaetani, 2020 ; Darmanis, 2020 ; Dudzik, 2020 ; Hye-Sun Jin, 2020 ; Lee, 2020 ; Rossi, 2020 ; Yao, 2020 ). Electronic devices, known as e-noses, may be conveniently used as smart devices to monitor indoor air quality in a living environment ( Sironi, 2014 ; Viccione D. S., 2014 ; Viccione T. Z., 2012 ).…”
Section: Introductionmentioning
confidence: 99%