Linking Effective Whole Life Cycle Cost Data Requirements to Parametric Building Information Models Using BIM Technologies

2013 ◽  
Vol 2 (4) ◽  
pp. 1-11
Author(s):  
Dermot Kehily ◽  
Trevor Woods ◽  
Fiacra McDonnell

This paper demonstrates the capabilities of BIM (Building Information Modeling) in leveraging Whole Life Cycle Cost (WLCC) data requirements to perform WLCC calculations and produce WLLC estimates. The research determines the extent to which WLCC data, such as time, interest rates, escalation rates and real costs can be attached to parametric BIM data to be used effectively to create speedier and more accurate real-time WLLC analysis. Without incorporating WLCC data in the BIM, a complete picture of a construction project's WLCC cannot be formed from the default outputs of the model. BIM 5D applications such as CostX utilise the parametric properties of the model, providing users with the ability to generate information and quantities from the BIM to be used in a formatted cost plan. The benefit of the 5D process is that selected quantity surveying information in the BIM can be live linked from the model to the cost plan providing a real-time analysis of WLLC. The authors demonstrate in this paper how they leverage BIM, by incorporating WLCC data and calculations in a customised CostX workbook, thus providing the authors with the ability to live link the output values from the model to the values in the workbook to perform WLCC. This paper demonstrates the practical application of this process on a pilot project in order to complete a WLCC analysis.

Author(s):  
Veerasak Likhitruangsilp ◽  
Hang T. T. Le ◽  
Nobuyoshi Yabuki ◽  
Photios G. Ioannou

In recent years, the fierce competition in worldwide real-estate market has pushed the stakeholders towards the sustainability for buildings. Life-cycle cost (LCC) is an effective economic evaluation tool that provides a detailed account for all costs related to constructing, operating, maintaining, and disposing a construction project over a defined period of time. Awareness of better value of money throughout the LCC is beyond the initial price. Governments and Contracting authorities add the LCC as a key provision in the context of National Codes and Council Directives to promote the growth of sustainability concept. Current LCC analytical methods are costly, laborious, and time-consuming due to the difficulties of obtaining information and implementing many single LCC analyses for all building elements, which may be attributed to the inaccuracy of results. Building information modeling (BIM) is a modern technology that can potentially overcome the asperities that obstruct practical LCC implementation. This paper develops a new automated system for performing LCC analyses for new building projects by integrating BIM authoring programming with visual programming. The proposed system consists of two main modules. The BIM module is designed to retrieve 3D geometric and physical parameters of building element types. The life-cycle cost calculation module can perform automatic estimating and report results. This system provides an economic evaluation tool for the owner to manage the total life-cycle budget of their projects.


2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Young-su Shin ◽  
Kyuman Cho

Advancements in building materials and technology have led to the rapid development of various design solutions. At the same time, life cycle assessment (LCA) and life cycle cost analysis (LCCA) of such solutions have become a great burden to engineers and project managers. To help conduct LCA and LCCA conveniently, this study (i) analyzed the information needed to conduct LCA and LCCA, (ii) evaluated a way to obtain such information in an easy and accurate manner using a building information modeling tool, and (iii) developed an Excel spreadsheet-based framework that allowed for the simultaneous implementation of LCA and LCCA. The framework developed for LCA and LCCA was applied to a real building case to evaluate three possible alternatives for an external skin system. The framework could easily and accurately determine which skin system had good properties in terms of the LCA and LCCA performance. Therefore, these results are expected to assist in decision making based on the perspectives of economic and environmental performances in the early phases of a project, where various alternatives can be created and evaluated.


2020 ◽  
Vol 10 (4) ◽  
pp. 603-618
Author(s):  
Julianna Crippa ◽  
Aline M.F. Araujo ◽  
Diogo Bem ◽  
Cássia M.L. Ugaya ◽  
Sergio Scheer

PurposeThis paper searches for integration methods proposed by different authors that assess the life cycle of a building using models of building information modeling (BIM) and it also compares and discusses them.Design/methodology/approachSystematic literature review (SLR) is selected as the main research method of the present paper, aiming to collect and critically analyze multiple research studies. This paper is not only limited to studies where the whole life cycle has been assessed but also includes other papers which only integrated BIM to analyze carbon footprint, embodied carbon dioxide (CO2) or energy consumption.FindingsTaking into account the countries that have published articles about the subject, it is possible to deduce that it has been studied in all of the continents, except Africa. In comparison with other continents, Asia and Europe have developed more studies. Furthermore, 76% of the 34 selected articles were published in journals and only 24% in conferences proceedings, and the number of papers that relates life cycle assessment (LCA) methods using BIM has grown from 2013 to 2015, proving that the current theme is relevant. Several aspects of this literature review show the need to develop automated processes for LCA of buildings during the project's development phase. There is already a tendency to compare LCA results for buildings applied to BIM models, contributing to decision-making related to alternate projects, selection of materials, suppliers and components from an environmental perspective.Originality/valueIn the current global scenario, it is the notorious negative impact on the environment over the years caused by the architecture, engineering and construction industry (AEC). The integration of BIM–LCA can reduce time and improve the application of environmental analysis. Moreover, the proper application of a LCA method to evaluate the environmental impacts of the project can be hindered due to lack of information in the database about the materials or due to failures in the interoperability between BIM software and the LCA tool.


Bauingenieur ◽  
2019 ◽  
Vol 94 (02) ◽  
pp. 37-44
Author(s):  
Eric Spinnräker ◽  
Nicolas Pauen ◽  
Alexander Schnitzler ◽  
Jérôme Frisch ◽  
Christoph van Treeck

Zusammenfassung Im Vergleich zu anderen produzierenden Industrien stagniert im Bauwesen die Arbeitsproduktivität je Erwerbstätigem seit Jahren. Trotz der in der Praxis zunehmenden digitalen Planung mithilfe von Building Information Modeling (BIM), liegen die Gründe unter anderem in der unzureichenden Standardisierung und der damit einhergehenden fehlenden Automatisierung von Prozessen und Berechnungen. Resultat dessen sind weiterhin punktuelle und deterministische Baukostenberechnungen, welche meist auch erst zu späten Planungsphasen erfolgen. Neben der unzureichenden Identifikation und Kommunikation von Chancen und Risiken, schließt die meist fehlende Berücksichtigung der Nutzungskosten eine ganzheitliche Betrachtung und Optimierung von Gebäuden aus. Das vorgestellte webbasierte Tool BIM2pLCC (engl.: BIM to probabilistic Life-Cycle-Costing; de: BIM zur probabilistischen Lebenszykluskostenrechnung) stellt diesbezüglich eine Lösungsmöglichkeit zur effizienten Berechnung von probabilistischen Lebenszykluskosten bei unterschiedlichen Informationsstand dar. Durch die gewählte Implementierung können die Kostenberechnungen sowohl mithilfe von drei Eingangsparametern und der statistischen Anreicherung von (Kosten-)Kennwerten, als auch auf Basis von BIM-Modellen mit unterschiedlichem Informationsgehalt durchgeführt werden. Hierdurch kann eine fortlaufende probabilistische Lebenszykluskostenanalyse in den Planungsprozess integriert und Planungsentscheidungen vor einem wesentlich besseren Informationshintergrund getroffen werden.


2019 ◽  
Vol 279 ◽  
pp. 01001
Author(s):  
Vladimír Nývlt ◽  
Radimír Novotný

Building Information Modeling begins to be perceived as the concept of "covering all stages of the life cycle of a building". A major flaw in this view is the fact that BIM is not actually perceived by all stakeholders as identical, and there is no single vocabulary, either in the form of a structured lexicon or in purely semantic understanding of many names and concepts used. Based on research findings BIM’s focus on Building Information Management has proven to be a key part of BIM’s success. As a result, it seeks to design a knowledge management system throughout the whole life cycle of the building as well as in the management of knowledge through partial projects. An essential part of BIM framework has identified the need to visualize knowledge and information. Based on other literature searches, ways of identifying knowledge, by deriving knowledge from information from experts, using shared models, are proposed. This derivation is directly driven by ontological identification and knowledge models based on taxonomy have been proposed. It leads to proposal of intelligent environment for team collaboration on projects or programs that probably require a suitable mix of different technology tools.


The variants of the division of the life cycle of a construction object at the stages adopted in the territory of the Russian Federation, as well as in other countries are considered. Particular attention is paid to the exemplary work plan – "RIBA plan of work", used in England. A feature of this document is its applicability in the information modeling of construction projects (Building information Modeling – BIM). The article presents a structural and logical scheme of the life cycle of a building object and a list of works that are performed using information modeling technology at various stages of the life cycle of the building. The place of information models in the process of determining the service life of the building is shown. On the basis of the considered sources of information, promising directions for the development of the life cycle management system of the construction object (Life Cycle Management) and the development of the regulatory framework in order to improve the use of information modeling in construction are given.


2021 ◽  
Vol 13 (14) ◽  
pp. 7990
Author(s):  
Suman Paneru ◽  
Forough Foroutan Jahromi ◽  
Mohsen Hatami ◽  
Wilfred Roudebush ◽  
Idris Jeelani

Traditional energy analysis in Building Information Modeling (BIM) only accounts for the energy requirements of building operations during a portion of the occupancy phase of the building’s life cycle and as such is unable to quantify the true impact of buildings on the environment. Specifically, the typical energy analysis in BIM does not account for the energy associated with resource formation, recycling, and demolition. Therefore, a comprehensive method is required to analyze the true environmental impact of buildings. Emergy analysis can offer a holistic approach to account for the environmental cost of activities involved in building construction and operation in all its life cycle phases from resource formation to demolition. As such, the integration of emergy analysis with BIM can result in the development of a holistic sustainability performance tool. Therefore, this study aimed at developing a comprehensive framework for the integration of emergy analysis with existing Building Information Modeling tools. The proposed framework was validated using a case study involving a test building element of 8’ × 8’ composite wall. The case study demonstrated the successful integration of emergy analysis with Revit®2021 using the inbuilt features of Revit and external tools such as MS Excel. The framework developed in this study will help in accurately determining the environmental cost of the buildings, which will help in selecting environment-friendly building materials and systems. In addition, the integration of emergy into BIM will allow a comparison of various built environment alternatives enabling designers to make sustainable decisions during the design phase.


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