32 research outputs found

    The suitability of demand-controlled sensor based ventilation systems in retrofit dwellings - a longitudinal study.

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    A fabric-first approach to dwelling retrofit results in increased airtightness, therefore there is an obligation to ensure that the upgrades do not lead to poor indoor air quality (IAQ) resulting from inadequate ventilation. The sensor-based demand-controlled ventilation (SBDCV) under review seeks to provide fresh air for breathing and to dilute and exhaust pollutants and odours. This system modulates the ventilation rate over time based on relative humidity levels and/or presence detection and considers that the level of ventilation provided is sufficient to control the concentration of all other indoor air pollutants, including those that are not a result of human occupancy. This research takes the form of a longitudinal study that follows a structured approach to monitor the levels of relative humidity, radon, and volatile organic compounds within participating dwellings (n=7) so that the relationship between the variables can be explored. This paper demonstrates that SBDCV systems are insufficient to ensure the removal of non-occupancy related pollutants. This could have significant health and wellbeing impacts for occupants. The findings of the paper have implications for the policy framework

    Challenges and Opportunities for Automating Physical Compliance on Construction Sites

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    The construction project lifecycle includes several compliance requirements that need to be checked at multiple levels and at different phases of the project. Inability to comply with these regulations due to lack of time and resources or human oversight can affect the project throughout its service lifecycle with the potential for severe outcomes. Following a number of high-profile failings and owing to the high stakes nature of compliance, digitalisation has been introduced in this field of construction over the past few decades to reduce mistakes and neglect. Although the compliance checking process in the design phase has seen significant digital advancement with artificial intelligence, machine learning and natural language processing, the physical compliance checking process on construction sites still remains largely manual. This paper will present academic research on the industry challenges faced in automating site compliance checking process based on literature studies done in the past. The study highlights the need to address the different challenges and barriers of physical compliance from a more structured construct. The opportunities for process improvement, behavioural change, and technological intervention to improve or in some cases replace manual oversight were also explored. A thematic analysis was performed on the qualitative data of barriers to chronicle the list of challenges that need to be addressed. Findings from this study will help highlight the pressure points faced while conducting compliance checks at sites. This research aims to reduce the knowledge gap between the ailment of checking compliance on construction sites and the tools that can help fix the issue

    A risk framework for the delivery of long-term performance through the large-scale energy focused retrofit of housing

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    The 2019 Climate Action Plan (Ireland) seeks to retrofit approximately 500,000 existing homes to attain a B2 Building Energy Rating by 2030. Although not without merit, this presents a number of risks. The authors, through a review of relevant literature and a survey of leading experts in the field of domestic retrofit, set out to explore if and how the implementation, execution, and performance of retrofit strategies that utilise a uniform approach to the retrofit of the decidedly non-uniform existing dwelling stock could create un-intended consequences. It is demonstrated how issues related to indoor air quality, comfort and overheating may occur due to the narrow focus of housing retrofit on regulated energy. It also established that the application of theoretical modelling can affect dwelling performance. These issues could have significant health and wellbeing impacts on occupants and, furthermore, could be exacerbated by the impacts of climate change. The research incorporates a risk assessment which examined the interdependent factors, including areas that require further research, that present a risk in large-scale deep retrofit. The findings have implications for the policy framework. Without action, there is a risk that the retrofitted dwellings of today become the ‘hard to treat’ dwellings of the future

    Construction Semantics and Generative Pre-trained Transformer (GPT) Language Models

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    The article explores the impact of ChatGPT, a powerful language model developed by OpenAI, on the construction industry. ChatGPT, with its ability to provide contextually accurate responses to a wide range of queries, has the potential to enhance safety, scheduling, and knowledge dissemination in construction. While it shows promise in tasks like hazard recognition and project scheduling, the article emphasizes the need for cautious optimism and human oversight. The construction industry could benefit from ChatGPT\u27s digital assistance to boost productivity and address skills shortages, but it is essential to recognize the value of human expertise alongside AI advancements

    The Infrastructure Metaverse Already Exists

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    The construction industry is currently undergoing a profound digital transformation, primarily driven by the innovative concept of digital twins. The United Kingdom\u27s National Digital Twin Programme (NDTp) stands as a visionary initiative striving to establish a cohesive digital ecosystem wherein all forms of infrastructure, both existing and newly constructed, are replicated in the digital realm. Digital twins are not merely static visual representations; they serve as the cornerstone for a comprehensive information management framework that enables real-time data sharing. This data-sharing capability spans the entire lifecycle of construction projects. What makes this technology particularly powerful is its capacity to facilitate advanced simulations, which are instrumental in assessing the implications of new constructions and even modelling potential natural disasters. The simulations can have a substantial impact on improving infrastructure performance, productivity, transparency, and resource efficiency. The A-EYE Control Tower project aligns its vision with the Digital Twin innovation, both striving to advance the construction industry into a new era characterised by data-driven decision-making. Their joint mission is to elevate construction productivity and foster transparency among stakeholders

    Smart motorway innovation for achieving greater safety and hard shoulder management

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    Smart motorways are becoming more prevalent through technology-driven approaches such as active traffic management (ATM) systems, hard shoulder management (HSM) control systems and digital enforcement cameras. Such technologies are able to monitor and respond to fluctuating traffic conditions by altering the speed limit to smooth traffic flow, activate warning signs to alert users of hazards up ahead and permit the use of the hard shoulder, either permanently or at peak times. This paper investigates smart motorways as a way of reducing congestion achieving greater road safety and improving hard shoulder management. This research is one of the first which deals specifically with the topic of smart motorways, where much of the focus to date has been on smart cities alone. A questionnaire approach was undertaken with 124 members of the public relating to their knowledge of smart motorways. The results indicate that user knowledge of smart motorways was lacking in some areas and that there is an inclination to wilfully ignore some of the smart rules of the road which contrary to the intention of smart motorways, may increase the safety risk and CO2 emissions
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