scholarly journals A data structures for purpose of the BIM-based Life Cycle Assessment: A review and theoretical background

2021 ◽  
Vol 1209 (1) ◽  
pp. 012001
Author(s):  
M Brandtner ◽  
V Venkrbec
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Data Structure ◽  
Theoretical Background ◽  
System Construction ◽  
Building Information Model ◽  
Building Information ◽  
Specific Material ◽  
Effective Use ◽  
Whole Life Cycle

Abstract The article deals with the data structure for the purpose of Life Cycle Assessment (LCA) of buildings using the Building Information Model (BIM). Construction industry produces a significant amount of waste and on the other hand the capacities of landfills are almost filled. It is necessary to deal with the effective use of materials that have already been used and have potential to be reused again. LCA is a method that can be used to demonstrate the suitability of proposed materials, structures or buildings in terms of their whole life cycle and its environmental impact. BIM includes, in addition to geometry, the information part. This data can be used for life cycle inventory (LCI) and then for the assessment itself. The aim of the article is to analyse previous approaches and define which data structure is necessary to be obtained from the BIM model for the LCI purpose of a specific material. The proposed methodology of the data recognition and selection is based on data structure of non-graphical database called SNIM, which was developed for the Czech construction environment. The article is also focused on the theoretical background of the newly developed classification system Construction Classification International (CCI).

scholarly journals NEGRAFICKÁ DATA A JEJICH STRUKTURA PRO VYUŽITÍ LCA V BIM

2021 ◽  
Vol 7 (01) ◽  
pp. 16-26
Author(s):  
Michal Brandtner
Keyword(s):  
Life Cycle ◽  
Data Structure ◽  
Input Data ◽  
Information Model ◽  
Model Data ◽  
Building Information Model ◽  
Graphic Information ◽  
Building Information ◽  
Whole Life Cycle

The article deals with the data structure for the purpose of Life Cycle Assessment (LCA) of buildings using the Building Information Model (BIM). LCA is a method that can be used to demonstrate the suitability of proposed materials, structures, or buildings in terms of their whole life cycle and its environmental impact. For the LCA evaluation it is crucial to obtain life cycle inventory (LCI) input data. The aim of the article is to define a BIM data structure for LCI purposes. The new methodology is based on standardization of non-graphic information model data structure called SNIM. Advantages of the proposed methodology have been demonstrated on the case study. These results are useful for expanding the BIM model with new data necessary for further LCA calculations.

Life cycle assessment data structure for building information modelling

2018 ◽  
Vol 199 ◽  
pp. 193-204 ◽  
Author(s):  
Carmine Cavalliere ◽  
Guido Raffaele Dell'Osso ◽  
Alessandra Pierucci ◽  
Francesco Iannone
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Data Structure ◽  
Assessment Data ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information ◽  
Life Cycle Assessment Data

scholarly journals Life Cycle Environmental Assessment of Light Steel Framed Buildings with Cement-Based Walls and Floors

2020 ◽  
Vol 12 (24) ◽  
pp. 10686
Author(s):  
Mona Abouhamad ◽  
Metwally Abu-Hamd
Keyword(s):  
Life Cycle ◽  
Building Materials ◽  
Simulation Software ◽  
Life Cycle Assessment Methodology ◽  
Building Information Model ◽  
Building Information ◽  
Cold Formed Steel ◽  
Environmental Measures ◽  
Materials Used

The objective of this paper is to apply the life cycle assessment methodology to assess the environmental impacts of light steel framed buildings fabricated from cold formed steel (CFS) sections. The assessment covers all phases over the life span of the building from material production, construction, use, and the end of building life, in addition to loads and benefits from reuse/recycling after building disposal. The life cycle inventory and environmental impact indicators are estimated using the Athena Impact Estimator for Buildings. The input data related to the building materials used are extracted from a building information model of the building while the operating energy in the use phase is calculated using an energy simulation software. The Athena Impact Estimator calculates the following mid-point environmental measures: global warming potential (GWP), acidification potential, human health potential, ozone depletion potential, smog potential, eutrophication potential, primary and non-renewable energy (PE) consumption, and fossil fuel consumption. The LCA assessment was applied to a case study of a university building. Results of the case study related to GWP and PE were as follows. The building foundations were responsible for 29% of the embodied GWP and 20% of the embodied PE, while the CFS skeleton was responsible for 30% of the embodied GWP and 49% of the embodied PE. The production stage was responsible for 90% of the embodied GWP and embodied PE. When benefits associated with recycling/reuse were included in the analysis according to Module D of EN 15978, the embodied GWP was reduced by 15.4% while the embodied PE was reduced by 6.22%. Compared with conventional construction systems, the CFS framing systems had much lower embodied GWP and PE.

Life Cycle Assessment of Urban Wastewater Treatment

2014 ◽  
Vol 535 ◽  
pp. 346-349
Author(s):  
Mei Wang ◽  
Ming Yang ◽  
Jun Liu ◽  
Jian Fen Li
Keyword(s):  
Wastewater Treatment ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Wastewater Treatment Plant ◽  
Sewage Treatment ◽  
Treatment Plant ◽  
Urban Wastewater ◽  
Urban Sewage ◽  
Urban Wastewater Treatment ◽  
Whole Life Cycle

Effect and benefits of a product or service could be analyzed and evaluated by life cycle assessment during the whole life cycle. Urban sewage treatment plants could improve and control urban water pollution escalating, but it also had certain harm to environment. Effect and benefits of urban wastewater treatment plant A and B were analyzed and evaluated, 13 factors were selected, and comprehensive benefits were researched quantificationally using the method of analytic hierarchy process. It found that urban wastewater treatment plant A who applied A/O process had better benefits than urban wastewater treatment plant B who applied BIOLAK process.

scholarly journals Method for a Multi-Vehicle, Simulation-Based Life Cycle Assessment and Application to Berlin’s Motorized Individual Transport

2020 ◽  
Vol 12 (18) ◽  
pp. 7302
Author(s):  
Anne Magdalene Syré ◽  
Florian Heining ◽  
Dietmar Göhlich
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Ecological Impacts ◽  
Transport Sector ◽  
Gas Emissions ◽  
Vehicle Simulation ◽  
Transport Simulation ◽  
Whole Life Cycle

The transport sector in Germany causes one-quarter of energy-related greenhouse gas emissions. One potential solution to reduce these emissions is the use of battery electric vehicles. Although a number of life cycle assessments have been conducted for these vehicles, the influence of a transport system-wide transition has not been addressed sufficiently. Therefore, we developed a method which combines life cycle assessment with an agent-based transport simulation and synthetic electric-, diesel- and gasoline-powered vehicle models. We use a transport simulation to obtain the number of vehicles, their lifetime mileage and road-specific consumption. Subsequently, we analyze the product systems’ vehicle production, use phase and end-of-life. The results are scaled depending on the covered distance, the vehicle weight and the consumption for the whole life cycle. The results indicate that the sole transition of drive trains is insufficient to significantly lower the greenhouse gas emissions. However, sensitivity analyses demonstrate that there is a considerable potential to reduce greenhouse gas emissions with higher shares of renewable energies, a different vehicle distribution and a higher lifetime mileage. The method facilitates the assessment of the ecological impacts of complete car-based transportation in urban agglomerations and is able to analyze different transport sectors.

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