scholarly journals BIM Application to Select Appropriate Design Alternative with Consideration of LCA and LCCA

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Young-su Shin ◽  
Kyuman Cho
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Building Materials ◽  
Rapid Development ◽  
Project Managers ◽  
Information Modeling ◽  
Life Cycle Cost Analysis ◽  
Building Information ◽  
Early Phases ◽  
Great Burden

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.

Webtool zur risikobasierten-probabilistischen Lebenszyklus-kostenanalyse auf Basis digitaler Gebäudemodelle – BIM2pLCC/Webtool for riskbased-probabilistic life cycle cost analysis based on digital building models – BIM2pLCC

Bauingenieur ◽  
2019 ◽  
Vol 94 (02) ◽  
pp. 37-44
Author(s):  
Eric Spinnräker ◽  
Nicolas Pauen ◽  
Alexander Schnitzler ◽  
Jérôme Frisch ◽  
Christoph van Treeck
Keyword(s):  
Life Cycle ◽  
Cost Analysis ◽  
Life Cycle Cost ◽  
Building Information Modeling ◽  
Life Cycle Costing ◽  
Information Modeling ◽  
Life Cycle Cost Analysis ◽  
Building Models ◽  
Building Information

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.

scholarly journals Integration of Emergy Analysis with Building Information Modeling

2021 ◽  
Vol 13 (14) ◽  
pp. 7990
Author(s):  
Suman Paneru ◽  
Forough Foroutan Jahromi ◽  
Mohsen Hatami ◽  
Wilfred Roudebush ◽  
Idris Jeelani
Keyword(s):  
Life Cycle ◽  
Building Materials ◽  
Building Information Modeling ◽  
Energy Analysis ◽  
Information Modeling ◽  
Environmental Cost ◽  
Emergy Analysis ◽  
Modeling Tools ◽  
Building Information

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.

scholarly journals Study of Alternatives for the Design of Sustainable Low-Income Housing in Brazil

2021 ◽  
Vol 13 (9) ◽  
pp. 4757
Author(s):  
Pollyanna Fernandes Bianchi ◽  
Víctor Yepes ◽  
Paulo Cezar Vitorio ◽  
Moacir Kripka
Keyword(s):  
Life Cycle ◽  
Low Income ◽  
Life Cycle Cost ◽  
Building Materials ◽  
Raw Materials ◽  
Single Family ◽  
Construction Time ◽  
Analytic Hierarchy ◽  
Building Information ◽  
Low Income Housing

Despite insufficient housing facilities, particularly in developing countries, construction systems are generally selected intuitively or based on conventional solutions sanctioned by practice. The present study aims to evaluate different options for the design of low-income housing in Brazil by integrating the life cycle assessment (LCA) into the decision-making process. To achieve this objective, three single-family projects with different construction systems were selected and analyzed. The most sustainable design was selected through the analytic hierarchy process (AHP). The considered parameters, which were obtained through a survey with professionals and customers, included cost, environmental impact, thermal comfort, construction time, and cultural acceptance. LCA and life cycle cost assessment (LCCA) were performed with the frontier’s system considering the cradle-to-gate cycle, which included the extraction of raw materials, manufacture of building materials, and housing construction. The projects were modelled using Autodesk Revit software with the Tally application for LCA evaluation. The results indicated that light steel frame houses present a better behavior than other conventional alternatives, and the integration of building information modelling with LCA and LCCA in the design phase can lead to the development of more sustainable houses.

INTEGRATING BUILDING INFORMATION MODELING AND VISUAL PROGRAMMING FOR BUILDING LIFE-CYCLE COST ANALYSIS

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Veerasak Likhitruangsilp ◽  
Hang T. T. Le ◽  
Nobuyoshi Yabuki ◽  
Photios G. Ioannou
Keyword(s):  
Life Cycle ◽  
Economic Evaluation ◽  
Life Cycle Cost ◽  
Building Information Modeling ◽  
Visual Programming ◽  
Real Estate Market ◽  
Information Modeling ◽  
Cost Calculation ◽  
Evaluation Tool ◽  
Building Information

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.

Energy Efficient Sustainable Building Materials: An Overview

2015 ◽  
Vol 650 ◽  
pp. 38-50
Author(s):  
Anwar Hussain ◽  
Mohammad Arif Kamal
Keyword(s):  
Life Cycle ◽  
Natural Resources ◽  
Water Conservation ◽  
Building Material ◽  
Land Surface ◽  
Life Cycle Cost ◽  
Building Materials ◽  
Rapid Development ◽  
Quality Life ◽  
Main Component

With the rapid development and modernisation, cities are growing at a very fast pace and the buildings are the main component of cities. Building construction in the world annually consumes around 25% of the global wood harvest, 40% of stone, sand and gravel and 16% of water. It generates 50% of global output of GHG and agents of acid rains. The manufacturing process of building material contributes to Green House Gases such as CO2 to the atmosphere to a great extent. The natural disasters like global warming, ozone layer depletion, unexpected seasonal variations and decreasing land surface have now moved the centre of attraction from development to sustainable development. Since we have limited resources and energy, our development should focus on conserving the energy. Due to the continuous exploitation of natural resources, there is an urge to produce environmentally responsive building material for the construction of new buildings to meet the rapid urban growth. Sustainable buildings are designed, constructed, maintained, rehabilitated, and demolished with an emphasis throughout their life cycle on using natural resources efficiently while also protecting global ecosystems. Selection of appropriate building material helps to use the energy efficiently. In the rapidly changing scenario of building sector, planners, architects, engineers and builders are looking for new materials and technologies to adopt in future constructions that benefits like energy efficiency, resources and water conservation, improved indoor air quality, life cycle cost reduction and durability. This paper presents a brief study of sustainable aspects of building materials and a tool for Life Cycle Assessment criteria that helps in selecting proper building materials.

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
Keyword(s):  
Life Cycle ◽  
Interest Rates ◽  
Real Time ◽  
Life Cycle Cost ◽  
Pilot Project ◽  
Information Modeling ◽  
Building Information ◽  
Cost Plan ◽  
Whole Life Cycle ◽  
Data Requirements

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.

scholarly journals Dynamic Modeling for Life Cycle Cost Analysis of BIM-Based Construction Waste Management

2020 ◽  
Vol 12 (6) ◽  
pp. 2483
Author(s):  
Milad Zoghi ◽  
Sungjin Kim
Keyword(s):  
Waste Management ◽  
Life Cycle Cost ◽  
Project Managers ◽  
Information Modeling ◽  
Construction Waste ◽  
Sensitivity Tests ◽  
Building Information ◽  
Stock Flow ◽  
The Cost

Recent studies in construction waste and management (CWM) have mainly investigated the waste management chain from a static perspective and failed to take into account the dynamic nature of parameters and their correlation. In addition, the current studies of building information modeling (BIM)-based CWM failed to analyze the cost–benefits due to the lack of numerical economic benchmarks. To address the gap, this study developed a system dynamic (SD) model to analyze the economic aspects of construction and demolition (C&D) waste from using BIM. Causal loop and stock-flow diagrams are modeled based on the determined variables and their interrelationships. Standard sensitivity tests were then performed to establish the validity of the model under real system conditions. Different scenarios were applied to simulate and compare the model results in response to various policies. A case study was conducted to quantify the costs and the profits. Based on the comparison with the conventional approach and BIM-based method, BIM can reduce CWM cost by up to 57%. The findings also indicated that higher landfill charges will not be able to motivate managers to use sustainable CWM; conversely, increasing the modularity of design and earlier realization of net benefits will incentivize project managers to employ BIM-based CWM.

Life Cycle of Construction Objects at Information Simulation of Buildings and Structures

2019 ◽  
pp. 65-72 ◽  
Keyword(s):  
Life Cycle ◽  
Construction Projects ◽  
Life Cycle Management ◽  
Information Modeling ◽  
Sources Of Information ◽  
Logical Scheme ◽  
Modeling Technology ◽  
Information Models ◽  
Building Information ◽  
The Russian Federation

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.

Sign in / Sign up

Export Citation Format

Share Document