Mould growth in energy efficient buildings: Causes, health implications and strategies to mitigate the risk

Brambilla, Arianna; Sangiorgio, Alberto

doi:10.1016/j.rser.2020.110093

Cited by 89 publications

(53 citation statements)

References 134 publications

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“…3 Regular special garbage cleaning. 4 Strictly controlling the random discharge of garbage by construction workers.…”

Section: Methodsmentioning

confidence: 99%

“…At the same time, the construction industry, along with power generation and automobile use, is one of the three major sources of greenhouse gas emissions threatening the Earth's climate [2]. Today, buildings still account for nearly 40% of global energy consumption and carbon emissions [3,4]. Governments around the world are adopting and implementing various financial regulations and incentives to mitigate the impact of the built environment [5].…”

Section: Introductionmentioning

confidence: 99%

“…3 In order to provide research ideas for reducing environmental pollution, the database optimization analysis is carried out in the stage of environmental contribution. 4 Research has proved that basic science and applied science are closely related [16], and that strong theoretical support requires sufficient calculations for testing.…”

Section: Introductionmentioning

confidence: 99%

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Life Cycle Assessment of Bridges Using Bayesian Networks and Fuzzy Mathematics

et al. 2021

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At present, reducing the impact of the construction industry on the environment is the key to achieving sustainable development. Countries all over the world are using software systems for bridge environmental impact assessment. However, due to the complexity and discreteness of environmental factors in the construction industry, they are difficult to update and determine quickly, and there is a phenomenon of data missing in the database. Most of the lost data are optimized by Monte Carlo simulation, which greatly reduces the reliability and accuracy of the research results. This paper uses Bayesian advanced fuzzy mathematics theory to solve this problem. In the research, a Bayesian fuzzy mathematics evaluation and a multi-level sensitivity priority discrimination model are established, and the weights and membership degrees of influencing factors were defined to achieve comprehensive coverage of influencing factors. With the support of theoretical modelling, software analysis and fuzzy mathematics theory are used to comprehensively evaluate all the influencing factors of the five influencing stages in the entire life cycle of the bridge structure. The results show that the material manufacturing, maintenance, and operation of the bridge still produce environmental pollution; the main source of the emissions exceeds 53% of the total emissions. The effective impact factor reaches 3.01. At the end of the article, a big data sensitivity model was established. Through big data innovation and optimization analysis, traffic pollution emissions were reduced by 330 tonnes. Modeling of the comprehensive research model; application; clearly confirms the effectiveness and practicality of the Bayesian network fuzzy number comprehensive evaluation model in dealing with uncertain factors in the evaluation of the sustainable development of the construction industry. The research results have made important contributions to the realization of the sustainable development goals of the construction industry.

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“…3 Regular special garbage cleaning. 4 Strictly controlling the random discharge of garbage by construction workers.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Life Cycle Assessment of Bridges Using Bayesian Networks and Fuzzy Mathematics

et al. 2021

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“…This condition may exacerbate an endemic problem of Australian buildings: a longitudinal study of Australian residential properties confirms that a lack of ventilation is a major cause of mould issues [23]. This impacts indoor air quality (IAQ), resulting in higher latent loads and increased humidityfactors that are more supportive of mould growth [24]. It has been estimated that a third of new and existing Australian buildings suffer from condensation problems and moisture defects, leading to remediation works and significant adverse health effects [25].…”

Section: The Australian Contextmentioning

confidence: 99%

Mass Timber Envelopes in Passivhaus Buildings: Designing for Moisture Safety in Hot and Humid Australian Climates

et al. 2021

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The uptake of buildings employing cross-laminated timber (CLT) assemblies and designed to Passivhaus standard has accelerated internationally over the past two decades due to several factors including responses to the climate crisis by decarbonising the building stock. Structural CLT technology and the Passivhaus certification both show measurable benefits in reducing energy consumption, while contributing to durability and indoor comfort. However, there is a general lack of evidence to support a fast uptake of these technologies in Australia. This paper responds to the compelling need of providing quantitative data and adoption strategies; it explores their combined application as a potential pathway for climate-appropriate design of energy-efficient and durable mass timber envelope solutions for subtropical and tropical Australian climates. Hygrothermal risk assessments of interstitial condensation and mould growth of CLT wall assemblies inform best-practice design of mass timber buildings in hot and humid climates. This research found that the durability of mass timber buildings located in hot and humid climates may benefit from implementing the Passivhaus standard to manage interior conditions. The findings also suggested that climate-specific design of the wall assembly is critical for mass timber buildings, in conjunction with excellent stormwater management practices during construction and corrosion protection for metallic fasteners.

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“…It has been estimated that one in every three Australian homes displays excessive dampness and/or mould proliferation [1,2], which are known to be exacerbated by inadequate architectural strategies, poor construction practices and maintenance, and a consequence of a lack of awareness and knowledge in the sector about the topic [3]. Indoor mould is correlated with severe adverse health symptoms [4,5], and it is responsible for early biodeterioration of building materials [6] which in turn often prompts costly renovation works. Mould can be caused by the presence of excessive moisture or water within a building component, extreme events (such as flooding) or condensation issues, with the latter being caused by lack of attention to the problem during the design stage.…”

Section: Introductionmentioning

confidence: 99%

My home is making me sick! Implications of poor indoor environment quality on mould growth

Brambilla

Cândido

Göçer

2021

My Home Is Making Me Sick! Implications of Poor Indoor Environment Quality on Mould Growth

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It is estimated that 1 in 3 Australian homes displays excessive dampness and mould proliferation, representing a significant threat to human health (physical and psychological). This study aims to provide a snapshot of the current indoor air quality of Australian residential buildings regarding air pollutants and biological growth via a case study.Monitoring results indicate that buildings with a high concentration of fungal spores are also more likely to present poor indoor air quality levels, high concentrations of particulate matters (PM10 and PM2.5) and CO2. Further, it suggests that the extensive mould damage may go inviable for too long posing a significant health hazard on people. This research suggests the need for the development of early detection strategies that could minimize the health hazard to people, thereby preventing the need for a major renovation.Peer-review under the responsibility of the organizing committee of the ICMB21.

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Mould growth in energy efficient buildings: Causes, health implications and strategies to mitigate the risk

Cited by 89 publications

References 134 publications

Life Cycle Assessment of Bridges Using Bayesian Networks and Fuzzy Mathematics

Life Cycle Assessment of Bridges Using Bayesian Networks and Fuzzy Mathematics

Mass Timber Envelopes in Passivhaus Buildings: Designing for Moisture Safety in Hot and Humid Australian Climates

My home is making me sick! Implications of poor indoor environment quality on mould growth

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