Drivers for energy analysis towards a BIM-enabled information flow

Abstract

PurposeEnergy analysis (EA) within a building information modelling (BIM) enables consistent data integration in central repositories and eases information exchange, reducing rework. However, data loss during information exchange from different BIM uses or disciplines is frequent. Therefore, a holistic approach for different BIM uses enables a coherent life cycle information flow. The life cycle information flow drives the reduction of data loss and model rework and enhances the seamless reuse of information. The latter requires a specification of the EA key performance indicators (KPIs) and integrating those in the process.Design/methodology/approachThe paper presents a set of KPIs extracted from the developed EA process maps and interviews with expert stakeholders. These KPIs stem from the literature review and link to the benefits of EA through industry expert review. The study includes (1) development and validation of EA process maps adjusted to requirements from different stakeholders. (2) KPIs aligned with the EA process map, (3) identification of the drivers that can facilitate life cycle information exchange and (4) opportunities and obstacles for EA within BIM-enabled projects.FindingsThis paper depicts a viable alternative for EA process maps and KPIs in a BIM-enabled AEC design industry. The findings of this paper showcase the need for an EA within BIM with these KPIs integrated for a more effective process conforming to the current Open BIM Alliance guidance and contributing towards sustainable life cycle information flow.Research limitations/implicationsThe limitation of the research is the challenge of generalising the developed EA process maps; however, it can be adjusted to fit defined organisational use. The findings deduced from the developed EA process map only show KPIs to have the ability to facilitate adequate information flow during EA.Practical implicationsThe AEC industry will benefit from the findings of this primary research as the industry will be able to contrast its process maps and KPIs to those developed in the paper.Social implicationsThis paper benefits the societal values in EA for the built environment in the design stages. The subsequent life cycle information flow will help achieve a consistent information set and decarbonised built environment.Originality/valueThe paper offers a practical overview of process maps and KPIs to embed EA into BIM, reducing the information loss and rework needed in the practice of this integration. The applicability of the solution is contrasted by consultation with experts and literature.

Reviewing the Role of Key Performance Indicators in Architectural and Urban Design Practices

“…Nevertheless, an analysis of the results defines sustainability improvement as the main aim of the selected articles (Figure 7). Provide recommendation [20,34,68,76] Measurement [64,84,[91][92][93][94] Other [32] (investigate the perception of the importance of KPIs) [35] (validate hypothesis) [36] (pre-design evaluation) [73] (explore role of KPIs in DM) [37] (manage complexity) [48] (define material peculiarities) [85] (management) [54] (define relationships) [95] (evaluate success) Sustainability 2022, 14, x FOR PEER REVIEW 9 of 18 . Starting from the set of 76 articles relevant for this review, the analysis shows that 36 articles are set up to address a sustainable-based objective, which is different within papers; some of the most common objectives are related to materials' qualities and performances or production process improvements.…”