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Abstract:Reducing carbon emissions and addressing environmental policies in the construction domain has been intensively explored with solutions ranging from energy efficiency techniques with building informatics to user behavior modelling and monitoring. Such strategies have managed to improve current practices in managing buildings, however decarbonizing the built environment and reducing the energy performance gap remains a complex undertaking that requires more comprehensive and sustainable solutions. In this context, building information modelling (BIM), can help the sustainability agenda as the digitalization of product and process information provides a unique opportunity to optimize energy-efficiency-related decisions across the entire lifecycle and supply chain. BIM is foreseen as a means to waste and emissions reduction, performance gap minimization, in-use energy enhancements, and total lifecycle assessment. It also targets the whole supply chain related to design, construction, as well as management and use of facilities, at the different qualifications levels (including blue-collar workers). In this paper, we present how building information modelling can be utilized to address energy efficiency in buildings in the operation phase, greatly contributing to achieving carbon emissions targets. In this paper, we provide two main contributions: (i) we present a BIM-oriented methodology for supporting building energy optimization, based on which we identify few training directions with regards to BIM, and (ii) we provide an application use case as identified in the European research project "Sporte2" to demonstrate the advantages of BIM in energy efficiency with respect to several energy metrics.

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Currently, the main use of 4D BIM is for visualization of the planned construction process. However, other uses have not yet been fully integrated into construction practices [1]. This paper presents a review of existing context to envisage ways of fostering the implementation of all 4D uses, and also to propose 4D BIM as a support to the decision-making process. Further the research will be completed by survey responses. In order to fully understand and efficiently implement 4D BIM models and methods, we need to develop a precise knowledge of which digital documents should be used and how they influence the decision-making process. This paper studies the convergence between 4D BIM uses and the project digital documents uses. We hypothesize that a construction simulation visualization of the 4D model is a useful source of information and a support for decision-making during a collaborative session. The visualized information and model development level correspond to the decision-making objectives [2].

Highlights• The influences of the climate and building type on thermal sensation are more significant than any other variable.• An adaptation table was developed to reduce the influences of the climate, building type, age group, season and gender.• The adaptive PMV model is free from serious bias in predicting the average thermal sensation of a large population.• This is the first study to quantify the effect of categorical variables on the average thermal sensation in buildings.