Wall and roof solutions for a retail building considering cost investment and life cycle approach: A case study in Portugal

Ferreira, Ana; Pinheiro, Manuel Duarte; Brito, Jorge de; Mateus, Ricardo; Mendonça, Rita Maria Zucatelli

doi:10.1016/j.jclepro.2022.135314

Cited by 3 publications

(2 citation statements)

References 43 publications

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“…Building designers can use this information to make more informed decisions regarding building design, energy efficiency and resource usage, resulting in sustainable and environmentally friendly buildings (Choi and Lee, 2023;Li et al, 2023). Ferreira et al (2023) examined the impact of design optimization using BIM and concluded that enhanced energy consumption can result in a 2%-5% total savings (Ferreira et al, 2023). A similar study examined the optimization of design to achieve sustainability, in which BIM reduced water consumption in the building by up to 60% (Hasanain and Nawari, 2022).…”

Section: Safety and Environmentmentioning

confidence: 99%

Quantifying BIM investment value: a systematic review

Gharaibeh,

Eriksson,

Lantz

2024

JEDT

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Purpose Perceived benefits of building information modelling (BIM) have been discussed for some time, but cost–benefit benchmarking has been inconsistent. The purpose of this paper is to investigate BIM feasibility and evaluate investment worth to elucidate and develop the current understanding of BIM merit. The aim of the study is to propose a research agenda towards a more holistic perspective of BIM use incorporating quantifying investment return. Design/methodology/approach An in-depth examination of research patterns has been conducted to identify challenges in the assessment of the investment value and return on investment (ROI) for BIM in the construction industry. A total of 75 research articles were considered for the final literature review. An evaluation of the literature is conducted using a combination of bibliometric analysis and systematic reviews. Findings This study, which analysed 75 articles, unveils key findings in quantifying BIM benefits, primarily through ROI calculation. Two major research gaps are identified: the absence of a standardized BIM ROI method and insufficient exploration of intangible benefits. Research focus varies across phases, emphasizing design and construction integration and exploring post-construction phases. The study categorizes quantifiable factors, including productivity, changes and rework reduction, requests for information reduction, schedule efficiency, safety, environmental sustainability and operations and facility management. These findings offer vital insights for researchers and practitioners, enhancing understanding of ’BIM’s financial benefits and signalling areas for further exploration in construction. Originality/value The ’study’s outcomes offer the latest insights for researchers and practitioners to create effective approaches for quantifying ’BIM’s financial benefits. Additionally, the proposed research agenda aims to improve the current limited understanding of BIM feasibility and investment worth evaluation. Results of the study could assist practitioners in overcoming limitations associated with BIM investment and economic evaluations in the construction industry.

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Section: Safety and Environmentmentioning

confidence: 99%

Quantifying BIM investment value: a systematic review

Gharaibeh,

Eriksson,

Lantz

2024

JEDT

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“…The last row indicates an additional scenario for the 80 mm solution by assuming an annual increase of 2% in the energy price, which is likely to progressively rise. Like previous studies, this one used basic statistics to simulate the building stock [33][34][35]. The magnitude of the potential savings in the neighborhood was estimated by considering the total area of the flat roofs of this building typology and the construction period (see Figure 6 and Table 4).…”

Section: Rd(p)mentioning

confidence: 99%

A Roof Refurbishment Strategy to Improve the Sustainability of Building Stock: A Case Study

Ruá,

Pitarch,

Arín

et al. 2024

Sustainability

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The aging of the building stock in most cities highlights the relevance of refurbishment to achieve sustainability. Current refurbishment practices are often short-sighted and do not encompass holistic strategies beyond energy saving. This research study aims to analyze the factors involved in roof refurbishment versus current decision-making determinants. The objective is to identify the barriers that hinder their implementation and to find arguments to support roof renovations. A multicriteria analysis, which considered environmental, economic and performance factors, was employed to select optimal roof refurbishment solutions. This study evaluated five solutions. With interviews held with construction professionals and a survey of experts and homeowners, the preferences and criteria for making decisions about roof refurbishments were analyzed. Simulation tools were then used to estimate the energy savings, payback periods and environmental impact for a representative building in the study area. The results were extrapolated to a neighborhood level. The results highlight the importance of considering factors, such as weight, cost and user preferences when selecting suitable refurbishment solutions. The findings not only estimate the potential energy savings and carbon emission reductions in the area but also underscore the relevance of roof refurbishments for prolonging a building’s life span to contribute to sustainability.

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Retrofitting of the Italian precast industrial building stock. LCA analysis as decision-making tool

Ciacci,

Bazzocchi

2024

Journal of Cleaner Production

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Wall and roof solutions for a retail building considering cost investment and life cycle approach: A case study in Portugal

Cited by 3 publications

References 43 publications

Quantifying BIM investment value: a systematic review

Quantifying BIM investment value: a systematic review

A Roof Refurbishment Strategy to Improve the Sustainability of Building Stock: A Case Study

Retrofitting of the Italian precast industrial building stock. LCA analysis as decision-making tool

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