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In recent years, there has been an increased focus on creating sustainable buildings that have a reduced carbon footprint. The primary method to achieve this has been through reducing operational carbon of buildings. However, as the industry aims to produce “carbon neutral” buildings with extremely low operational carbon through measures such as insulation, embodied carbon (EC) component could get increased. As such, it is equally important to understand the state of EC emissions in buildings. The aim of this research was to analyse typical EC and cost profiles of school buildings within Australia to understand which building elements need more attention.

The research involved measuring EC of five classroom blocks in schools in Sydney through a case study research approach and document survey. Bills of quantities from these projects were analysed to estimate the EC and cost profiles of the buildings.

Results indicated that some elements such as roof, site works, upper floors and substructure had a higher cost also demonstrating an increased EC indicating a possibility of a relationship between carbon and cost. Accordingly, these elements were identified as the typical carbon hotspots within school buildings in Australia, which need greater attention in reducing EC.

The study explores the carbon–cost profile of Australian school buildings and highlights the importance of reducing EC in carbon hotspots.

The purpose of this paper is to identify the carbon intensive building elements or “carbon hotspots” of office buildings in order to maximise the carbon reduction potential during design stages.

Embodied carbon (EC) estimates of 28 office buildings in the UK were obtained and carbon hotspots of the sample (in accordance with the new rules of measurement (NRM) element classification) were identified using the 80:20 Pareto principle.

Frame, substructure, external walls, services and upper floors were identified as carbon hotspots of the selected sample. However, findings do not support the 80:20 ratio in this case but propose a ratio of 80:36. Stairs, internal walls and partitions, internal doors, wall finishes, ceiling finishes and fittings and furnishings were identified as carbon insignificant elements that have a lower EC reduction potential compared to the rest.

The findings are applicable to office buildings in the UK but the methodology is adaptable to different types of buildings in other countries.

Findings unveil carbon intensive and carbon insignificant building elements of typical office buildings in the UK. This informs designers of the elements that could yield the highest potential EC savings via effective design choices. In addition, a logical design timeline is proposed for building elements based on their element hotspot category and design sequence to assist design decision making.

Blockchain as an emerging technology has increased the interests within various industries because of its salient features. A potential application of blockchain for embodied carbon (EC) estimating is being explored. Though there are several databases/tools to estimate EC, the accuracy of estimates prepared using them is affected due to several limitations. As a solution, a prototype blockchain-based EC (BEC) Estimator for distributed supply chain-based EC estimating has been introduced. The data models and user flow diagram that lead to development of a BEC Estimator are developed and evaluated in this study.

A case study approach assisted in developing the data models and user flow diagram for the BEC Estimator. A Delphi-based expert forum was used to evaluate and produce the refined data models and user flow diagram.

The BEC Estimator adopts a waterfall model, a system development lifecycle model, in developing the application. The phases, system analysis and system design, consisting the development of the data models and user flow diagram for the BEC Estimator are discussed.

Estimating EC accurately plays an important role in construction. The BEC Estimator uses the supply chain based embodied carbon estimating method to estimate EC accurately. This paper demonstrates the data models and user flow diagram developed for the BEC Estimator.

The purpose of this paper is to identify and compare cost and carbon critical elements of two office buildings, and to help achieve an optimum balance between the capital cost (CC) and embodied carbon (EC) of buildings.

Case study approach was employed to study cost and carbon critical elements of two office buildings as it allows an in-depth and holistic investigation. Elemental estimates of CC and EC were prepared from BoQs of the two buildings by obtaining rates from the UK Building Blackbook. Pareto principle (80:20 rule) was used to identify carbon and cost critical elements of the two buildings, and the significance hierarchies of building elements were compared.

Substructure, frame and services were identified as both carbon and cost critical elements responsible for more than 70 per cent of the total CC and EC of both buildings. Stairs and ramps, internal doors and fittings, furnishings and equipment were identified to be the least carbon- and cost-significant elements contributing less than 2 per cent of total CC and EC in both buildings. The hierarchy of cost and carbon significance varies between buildings due to the difference in the specification and design.

The increasing significance of dual currency (cost and carbon) demands cost and carbon management during the early stages of projects. Hence, this paper suggests that focusing on carbon and cost-intensive building elements is a way forward to keep both cost and carbon under control during the early stages of projects.

This paper aims to explore the emerging relationship between Industry 4.0 (I4.0) digital technologies (e.g. blockchain, Internet of Things (IoT) and artificial intelligence (AI)) and the construction industry’s gradual transition into a circular economy (CE) system to foster the adoption of circular economy in the construction industry.

A critical and thematic analysis conducted on 115 scientific papers reveals a noticeable growth in adopting digital technologies to leverage a CE system. Moreover, a conceptual framework is developed to show the interrelationship between different I4.0 technologies to foster the implantation of CE in the construction industry.

Most of the existing bodies of research provide conceptual solutions rather than developing workable applications and the future of smart cities. Moreover, the coalescence of different technologies is highly recommended to enable tracking of building assets’ and components’ (e.g. fixtures and fittings and structural components) performance, which enables users to optimize the salvage value of components reusing or recycling them just in time and extending assets’ operating lifetime. Finally, circular supply chain management must be adopted for both new and existing buildings to realise the industry's CE ambitions. Hence, further applied research is required to foster CE adoption for existing cities and infrastructure that connects them.

This paper investigates the interrelationships between most emerging digital technologies and circular economy and concludes with the development of a conceptual digital ecosystem to integrate IoT, blockchain and AI into the operation of assets to direct future practical research applications

Digital twin (DT) and building information modeling (BIM) are interconnected in some ways. However, there has been some misconception about how DT differs from BIM. As a result, industry professionals reject DT even in BIM-based construction projects due to reluctance to innovate. Furthermore, researchers have repeatedly developed tools and techniques with the same goals using DT and BIM to assist practitioners in construction projects. Therefore, this study aims to assist industry professionals and researchers in understanding the relationship between DT and BIM and synthesize existing works on DT and BIM.

A systematic review was conducted on published articles related to DT and BIM. A total record of 54 journal articles were identified and analyzed.

The analysis of the selected journal articles revealed four types of relationships between DT and BIM: BIM is a subset of DT, DT is a subset of BIM, BIM is DT, and no relationship between BIM and DT. The existing research on DT and BIM in construction projects targets improvements in five areas: planning, design, construction, operations and maintenance, and decommissioning. In addition, several areas have emerged, such as developing geo-referencing approaches for infrastructure projects, applying the proposed methodology to other construction geometries and creating 3D visualization using color schemes.

This study contributed to the existing body of knowledge by overviewing existing research related to DT and BIM in construction projects. Also, it reveals research gaps in the body of knowledge to point out directions for future research.

Recent United Nations Climate Change Conferences recognise extreme climate change of heatwaves, floods and droughts as threatening risks to the resilience and success of public–private partnership (PPP) infrastructure projects. Such conferences together with available project reports and empirical studies recommend project managers and practitioners to adopt smart technologies and develop robust measures to tackle climate risk exposure. Comparatively, artificial intelligence (AI) risk management tools are better to mitigate climate risk, but it has been inadequately explored in the PPP sector. Thus, this study aims to explore the tools and roles of AI in climate risk management of PPP infrastructure projects.

Systematically, this study compiles and analyses 36 peer-reviewed journal articles sourced from Scopus, Web of Science, Google Scholar and PubMed.

The results demonstrate deep learning, building information modelling, robotic automations, remote sensors and fuzzy logic as major key AI-based risk models (tools) for PPP infrastructures. The roles of AI in climate risk management of PPPs include risk detection, analysis, controls and prediction.

For researchers, the findings provide relevant guide for further investigations into AI and climate risks within the PPP research domain.

This article highlights the AI tools in mitigating climate crisis in PPP infrastructure management.

This article provides strong arguments for the utilisation of AI in understanding and managing numerous challenges related to climate change in PPP infrastructure projects.

The purpose of this paper is to quantify the carbon emissions emitted by two different typical apartment units representative of two different construction periods in Kosovo due to main construction materials as a consequence of embodied energy.

The present study uses a three-step (bottom-up) process-based life cycle analysis of the construction material set for two different apartment units. The current study uses material analysis. Embodied CO₂ is estimated by multiplying material masses with the corresponding ECO₂ coefficients (kg CO₂/kg). Due to the lack of a comprehensive Kosovo database, data from an international database are utilized. The results provide practical baseline indicators for the contribution of each material in terms of mass and embodied CO₂.

Results of quantitative research find that apartment unit representative of the old communist-era construction produces 50 percent more embodied CO₂ emissions than an apartment unit that is representative of modern construction in Kosovo. The study finds that this difference comes mainly because of the utilization of larger quantities of steel, concrete, and precast fabricated concrete in the apartment unit that is representative of the old communist era.

The calculation of embodied CO₂ emissions for major construction materials in typical apartments in Kosovo can help in the development of national databases in the future. The availability of such databases could help the construction industry in Kosovo to open up to new sustainable design approaches since such databases and evaluations performed in the national context in Kosovo could help the builders in selecting, assessing and using environmentally friendly materials during the design or refurbishment stage of a building.

This paper is the first investigation of the embodied carbon emission in two different typical apartment building structures in Kosovo.

The construction industry has focused on operational and embodied energy of buildings as a way of becoming more sustainable, however, with more emphasis on the former. The purpose of this paper is to highlight the impact that embodied energy of construction materials can have on the decision making when designing buildings, and ultimately on the environment. This is an important aspect that has often been overlooked when calculating a building's carbon footprint; and its inclusion this approach presents a more holistic life cycle assessment.

A building project was chosen that is currently being designed; the design team for the project have been tasked by the client to make the facility exemplary in terms of its sustainability. This building has a limited construction palette; therefore the embodied energy component can be accurately calculated. The authors of this paper are also part of the design team for the building so they have full access to Building Information Modelling (BIM) models and production information. An inventory of materials was obtained for the building and embodied energy coefficients applied to assess the key building components. The total operational energy was identified using benchmarking to produce a carbon footprint for the facility.

The results indicate that while operational energy is more significant over the long term, the embodied energy of key materials should not be ignored, and is likely to be a bigger proportion of the total carbon in a low carbon building. The components with high embodied energy have also been identified. The design team have responded to this by altering the design to significantly reduce the embodied energy within these key components – and thus make the building far more sustainable in this regard.

It may be is a challenge to create components inventories for whole buildings or for refurbishments. However, a potential future approach for is application may be to use a BIM model to simplify this process by imbedding embodied energy inventories within the software, as part of the BIM menus.

This case study identifies the importance of considering carbon use during the whole-life cycle of buildings, as well as highlighting the use of carbon offsetting. The paper presents an original approach to the research by using a “live” building as a case study with a focus on the embodied energy of each component of the scheme. The operational energy is also being calculated, the combined data are currently informing the design approach for the building. As part of the analysis, the building was modelled in BIM software.

Sustainability is well understood to encapsulate economic, environmental and societal parameters. The efficiency of maintenance interventions for historic buildings is no exception and also conforms to these broad factors. Recently, environmental considerations for masonry repair have become increasingly important and this work supports this growing area. The purpose of this paper is to give insight on how an option appraisal approach of “Green Maintenance” modelling for historic masonry buildings repair practically determine and ultimately substantiate the decision-making process using a calculation procedures of life cycle assessment, within delineated boundaries.

Calculation procedures of the model enables an assessment of embodied carbon that is expended from different stone masonry wall repair techniques and scenarios for historic masonry buildings during the maintenance phase.

It recognises the importance roles Green Maintenance model can play in reducing carbon emissions and underpins rational decision making for repair selection.

It must be emphasised that the calculation procedures presented here, is not confined to historic masonry buildings and can be applied to any repair types and building form. The decisions made as a result of the utilisation of this model practically support environmentally focused conservation decisions.

The implementation of the model highlights the efficacy of repairs that may be adopted.

The paper is a rigorous application and testing of the Green Maintenance model. The model relays the “true” carbon cost of repairs contextualised within the longevity of the materials and its embodied carbon that consequently allows rational appraisal of repair and maintenance options.