scholarly journals Current Opportunities and Challenges in the Incorporation of the LCA Method in BIM

2020 ◽  
Vol 14 (1) ◽  
pp. 336-349
Author(s):  
Vera Durão ◽  
António Aguiar Costa ◽  
José Dinis Silvestre ◽  
Ricardo Mateus ◽  
Ruben Santos ◽  
...  
Keyword(s):  
Information Integration ◽  
Environmental Information ◽  
Environmental Data ◽  
Impact Categories ◽  
Lca Methodology ◽  
Building Information Modelling ◽  
New Approach ◽  
Different Types ◽  
Building Information ◽  
Environmental Impact Categories

Background: In the last years, Building Information Modelling (BIM) and Life Cycle Assessment (LCA) have been integrated to support the pursuit of sustainability in the built environment. However, the integration of environmental information with different specificity and reliability requirements on distinct Levels of Development (LOD) of BIM objects was not yet exploited considering several environmental impact categories. Objective: The objective of this paper is to discuss the complexity and depth of LCA information needed for BIM objects, considering different LOD, and to propose a parametrisation of environmental information be included in BIM objects according to their LODs. Methods: A literature review on LCA methodology, sources of LCA information, integration of LCA in BIM, and LOD of BIM objects was initially performed, followed by a detailed characterisation of the different types of sources of LCA information to include in BIM models. These steps contributed to the development of the proposed parametrisation of environmental data. Results: A parametrisation of environmental information to be included in BIM objects was developed. This parametrisation considered the degree at which the element’s information has been specified (LOD) and the respective detail and reliability of the environmental information to include. Conclusion: A new approach is proposed that allows an evolutive integration of environmental information in BIM objects according to their growing LODs.

scholarly journals A Building Information Modelling (BIM) based Water Efficiency (BWe) Framework for Sustainable Building Design and Construction Management

Electronics ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 599 ◽  
Author(s):  
Zhen Liu ◽  
Chao Zhang ◽  
Yuanxiang Guo ◽  
Mohamed Osmani ◽  
Peter Demian
Keyword(s):  
Information Integration ◽  
Water Conservation ◽  
Building Design ◽  
Water Efficiency ◽  
Structured Interviews ◽  
Building Information Modelling ◽  
Building Projects ◽  
Information Modelling ◽  
Building Information ◽  
Design And Construction

There is a lack of decision-making tools for water efficiency design and construction to maximize project benefits and water conservation. An increasing number of research studies indicate that building information modelling (BIM) can enhance the cooperation, improve work efficiency, and conduct simulation and analysis of sustainability performance in building projects. However, BIM’s potential to enhance water efficiency is yet to be established, such as water gird design optimization, clash detection, combination of BIM with smart appliances and sensors. The research adopted a mixed method approach to investigate the potential impact of BIM on water efficiency in building projects. It involved 50 practitioners from the Architectural, Engineering and Construction (AEC) industry through a questionnaire survey and the follow-up interviews. The quantitative results of questionnaire data and qualitative results of interviews were used to develop a “BIM-based Water Efficiency (BWe) Framework” which was subsequently validated by five experienced practitioners and researchers in the form of semi-structured interviews. The framework applies BIM to optimize traditional water efficiency measures based on an information database. The geometry, attributes, status information of building components or non-component objects stored in the database greatly improve information integration degree of construction engineering. This study provided a reference for the use of BIM for water conservation in building design and construction.

scholarly journals Green envelope as an architectural strategy for energy efficiency in a library building

2019 ◽  
Vol 266 ◽  
pp. 01004 ◽  
Author(s):  
Azlan Ariff Ali Ariff ◽  
Sabarinah Sheikh Ahmad ◽  
Mohd Aljefri Hussin
Keyword(s):  
Energy Consumption ◽  
Indoor Environment ◽  
Building Simulation ◽  
Treatment Results ◽  
Building Information Modelling ◽  
Design Alternatives ◽  
Different Types ◽  
Building Information ◽  
Reduction Of Energy Consumption ◽  
Envelope Functions

In the context of Malaysian tropical climate, green envelope functions to provide satisfying indoor environment and achieve the best performance with minimal energy consumption. Buildings that rely on air-conditioning to improve thermal comfort could benefit from green envelope potentials. Hence, the objective of this paper is to explore the impacts of various types of green envelope towards reducing the energy consumption of a two-storey library building. The methodology approach is quantitative and data are collected through building simulation using Revit Building Information Modelling (BIM). Parameters studied are building orientation, wall insulation, envelope materials, and façade treatment. Results showed that different types of green envelope posed different impact on energy consumption of the library and double glazed windows contribute the most significant reduction of energy consumption. The study establishes the contribution of green envelope and advocates the use of building simulation as research methodology, as it helps to improve envelope design, and to predict the possible outcomes of design alternatives.

scholarly journals Environmental Life Cycle Assessment of Biogas as a Fuel for Transport Compared with Alternative Fuels

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 532 ◽  
Author(s):  
Kari-Anne Lyng ◽  
Andreas Brekke
Keyword(s):  
Sensitivity Analysis ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Performance ◽  
Alternative Fuels ◽  
Impact Categories ◽  
Lca Methodology ◽  
Environmental Life Cycle Assessment ◽  
Environmental Impact Categories ◽  
Bus Transport

Upgraded biogas, also known as biomethane, is increasingly being used as a fuel for transport in several countries and is regarded as an environmentally beneficial option. There are, nevertheless, few studies documenting the environmental impacts of biogas as a transport fuel compared with the alternatives on the market. In this study, life cycle assessment (LCA) methodology was applied to compare the environmental performance of biogas used as a fuel for bus transport with natural gas, electricity fueled buses, biodiesel, and fossil diesel. A sensitivity analysis was performed for the biogas alternative to assess the importance of the underlying assumptions. The results show that biogas has a relatively low contribution to the environmental impact categories assessed. Emissions of greenhouse gases are dependent on assumptions such as system boundaries, transport distances and methane leakages.

New Design Approach to Handle Spatial Vagueness in Spatial OLAP Datacubes

2016 ◽  
pp. 1859-1880
Author(s):  
Elodie Edoh-Alove ◽  
Sandro Bimonte ◽  
François Pinet ◽  
Yvan Bédard
Keyword(s):  
Spatial Data ◽  
End Users ◽  
Environmental Data ◽  
Decision Makers ◽  
Multidimensional Analysis ◽  
Multidimensional Data ◽  
New Approach ◽  
New Models ◽  
Different Types ◽  
Spatial Vagueness

Spatial-OLAP (SOLAP) technologies are dedicated to multidimensional analysis of large volumes of (spatial) data. Spatial data are subject to different types of uncertainty, in particular spatial vagueness. Although several researches propose new models to cope with spatial vagueness, their integration in SOLAP systems is still in an embryonic state. Also, analyzing multidimensional data with metadata brought by the exploitation of the new models can be too complex and demanding for decision-makers. To help reduce spatial vagueness consequences on the exactness of SOLAP analysis queries, the authors present a new approach for designing SOLAP datacubes based on end-users' tolerance to the risks of misinterpretation of fact data. An experimentation of the new approach on agri-environmental data is also proposed.

scholarly journals Review of the Building Information Modelling (BIM) Implementation in the Context of Building Energy Assessment

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8487
Author(s):  
Serdar Durdyev ◽  
Gholamreza Dehdasht ◽  
Saeed Reza Mohandes ◽  
David J. Edwards
Keyword(s):  
Construction Projects ◽  
Building Energy ◽  
Energy Performance ◽  
Decision Makers ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Energy Assessment ◽  
Different Types ◽  
Building Information ◽  
Keyword Searching

In recent years, many researchers across the world have addressed the implementation of Building Information Modelling (BIM) in the energy assessment of the built environment. However, several potential issues still need to be resolved in order to utilise the benefits provided by BIM to a maximum degree. To fill this gap, a systematic literature review is conducted in this study to critically investigate the utilisation of BIM tools in energy assessment. To achieve the above-mentioned objective, after shortlisting the relevant papers published hitherto, using keyword searching, a systematic review was undertaken, including the application of BIM in the contexts of different countries, types of BIM tools, BIM and Life Cycle Assessment (LCA) integration, energy affiliations, stakeholders’ involvement and their roles, uncertainty, and sensitivity analysis. The outcomes show the most widely used and effective BIM tools in different types of construction projects in various countries. The review of the literature clearly shows that BIM tools can effectively be used in the assessment of energy performance of buildings. The article gives insight to engineers, architecture, and decision makers to carefully select appropriate BIM tools in terms of energy assessment.

scholarly journals LCA of Soybean Supply Chain Produced in the State of Pará, Located in the Brazilian Amazon Biome

2021 ◽  
Vol 3 (1) ◽  
pp. 11
Author(s):  
Thyago Brito ◽  
Rui Fragoso ◽  
Pedro Marques ◽  
Anabela Fernandes-Silva ◽  
José Aranha
Keyword(s):  
Supply Chain ◽  
Environmental Impact ◽  
Brazilian Amazon ◽  
The State ◽  
Impact Categories ◽  
South Pole ◽  
Lca Methodology ◽  
Environment Impact ◽  
Intergovernmental Panel ◽  
Environmental Impact Categories

Recently, Brazil became the biggest soybean producer and exporter in the world. The state of Pará, located in the Brazilian amazon biome, became one of the last agricultural frontiers of the country, which positively increased the soybean cultivation along it is territory. However, it is necessary to know the associated environmental impacts along the supply chain. Thus, we are applying the life cycle assessment (LCA) methodology using openLCA software to two producing regions: northeast pole (Paragominas) and south pole (Redenção). Based on the cradle to grave scope, the Recipe Midpoint (H) and Intergovernmental Panel on Climate Change (IPCC) methods of the environmental impact categories were used. To calculate the land use change (LUC), we used the BRLUC regionalized model (v1.3). The obtained results showed that LUC was mainly responsible for the global warming potential (GWP) along all soybean supply chains, especially when land occupied with tropical forests was adapted for growing soybeans. Despite the largest distance between the origin and destiny (road + railway = 1306 km), the soybean produced in the south pole (Redenção) is better shipped through the TEGRAM port of São Luis–Maranhão due to the use of multimodal platforms (lorry + train), allowing for a more efficient logistical performance (greater loads of grains transported and less environmental impact). The soybean produced in northeast pole (Paragominas) is better shipped through the ports around Barcarena–Pará due to the short distance by road (average 350 km) and hence less environment impact.

scholarly journals RISK FACTORS TOWARDS PUBLIC-PRIVATE PARTNERSHIPS (PPP) PROJECTS IMPLEMENTING BUILDING INFORMATION MODELLING (BIM) IN THE UNITED KINGDOM (UK): A LESSON LEARNT FOR MALAYSIA

2020 ◽  
Vol 18 (14) ◽  
Author(s):  
Siti Nora Haryati Abdullah Habib ◽  
Syuhaida Ismail ◽  
Sharifah Mazlina Syed Khuzzan
Keyword(s):  
Risk Factors ◽  
United Kingdom ◽  
Information Integration ◽  
Building Information Modelling ◽  
Information Modelling ◽  
The United Kingdom ◽  
Contract Duration ◽  
Building Information ◽  
Collaborative Working ◽  
The Uk

Public Private Partnership (PPP) projects involve stakeholders engaged in various contract structures in a lengthy contract duration. Such situations expose the projects to risks related to collaborative working and information integration. Building Information Modelling (BIM) is seen as a mechanism to improve the collaboration and integration in the PPP projects. However, BIM also exposes its users to additional risk when the barriers in sharing information are reduced. Therefore, the aim of this paper is to investigate the BIM risk factors that have significant impact towards PPP projects implementing BIM. Since the United Kingdom (UK) is considered advanced in practising PPP and BIM, this study investigates the UK industry players’ views on what they considered as significant BIM factors in PPP projects. Consequently, the study has identified six (6) most significant BIM risk factors through questionnaire and experts’ interviews. The findings provide a lesson learnt for Malaysia to consider the BIM risks in implementing BIM in PPP projects.

HOW CAN BUILDING INFORMATION MODELLING SUPPORT THE INCREASED RECYCLING OF LUMINAIRES AND LIGHT SOURCES

2021 ◽  
Author(s):  
N. Baradaran-Razaz ◽  
C. Merschbrock ◽  
A.K. Jägerbrand ◽  
M. Nilsson Tengelin
Keyword(s):  
Life Cycle ◽  
Environmental Data ◽  
Light Sources ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Material Recovery ◽  
Environmental Decision Making ◽  
Construction Design ◽  
Building Information ◽  
Building Project

Reducing waste from luminaire and light source products has become a core priority for practice and research. This has to do with luminaires frequently ending up in landfills and that scarce rare earth elements are seldomly recovered. This paper explores how the use of modern information systems, like Building Information Modelling (BIM), in conjunction with databases, can contribute to increasing the recycling rates of light sources and luminaires. Although there is a wealth of studies on BIM and life-cycle assessments (LCA), there is a scarcity of studies exploring the interface of BIM, LCA and lighting. Based on a review of the literature and interviews with subject matter experts, this paper contributes an early understanding how relevant environmental data about luminaires can be systematically stored and transmitted throughout the life cycle of a project. Findings indicate that the latest generation of BIM classification structures allows for manufacturers and material suppliers to make their product data readily available for construction design teams. Making this data available in a structured digital way, allows for informed environmental decision-making throughout the life cycle of a building project aiding recycling rates and material recovery.

New Design Approach to Handle Spatial Vagueness in Spatial OLAP Datacubes

2015 ◽  
Vol 6 (3) ◽  
pp. 29-49 ◽  
Author(s):  
Elodie Edoh-Alove ◽  
Sandro Bimonte ◽  
François Pinet ◽  
Yvan Bédard
Keyword(s):  
Spatial Data ◽  
End Users ◽  
Environmental Data ◽  
Decision Makers ◽  
Multidimensional Analysis ◽  
Multidimensional Data ◽  
New Approach ◽  
New Models ◽  
Different Types ◽  
Spatial Vagueness

Spatial-OLAP (SOLAP) technologies are dedicated to multidimensional analysis of large volumes of (spatial) data. Spatial data are subject to different types of uncertainty, in particular spatial vagueness. Although several researches propose new models to cope with spatial vagueness, their integration in SOLAP systems is still in an embryonic state. Also, analyzing multidimensional data with metadata brought by the exploitation of the new models can be too complex and demanding for decision-makers. To help reduce spatial vagueness consequences on the exactness of SOLAP analysis queries, the authors present a new approach for designing SOLAP datacubes based on end-users' tolerance to the risks of misinterpretation of fact data. An experimentation of the new approach on agri-environmental data is also proposed.

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