Data from: A review of building-scale LCA tools: recent trends, gaps and future directions
Data files
May 13, 2026 version files 88.52 KB
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Building_scale_LCA_tool_review_dataset.xlsx
80.30 KB
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README.md
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Abstract
In response to global climate targets and the growing need for a more sustainable built environment, the building industry is undergoing a rapid transition toward low-carbon, zero-carbon, and increasingly carbon-negative design strategies. This shift is driven by the development of new materials and technologies that enable carbon reduction and sequestration within the built environment. However, current Life Cycle Assessment (LCA) tools have not evolved at the same pace and often rely on conventional materials, assumptions, and datasets. As a result, questions remain regarding the extent to which existing tools support net-zero and carbon-positive design. Moreover, the increasing number of tools with varying scopes, datasets, and analytical capabilities presents a challenge for users in selecting the most appropriate tool for their needs. To address these gaps, an extensive review of building-scale LCA tools has been conducted, providing information on active tools that are widely used in North America.
For data collection, a structured characterization framework was developed by combining insights from a targeted literature review with input from relevant stakeholders to identify key features that support net-zero and carbon-positive building design. Using this framework, data were systematically collected for thirteen actively maintained and widely used building-scale LCA tools. Information on tools was compiled and organized to enable consistent comparison across tools. The collected data were reviewed and validated in collaboration with tool developers and owners to ensure accuracy, completeness, and to provide an up-to-date representation of each tool’s capabilities.
This dataset can help LCA practitioners and sustainability analysts make informed decisions when selecting appropriate LCA tools based on project scope and expected functionalities. It may also support tool developers and researchers in identifying gaps in existing tools and developing more advanced methods and tools to better integrate LCA into building design and performance assessment.
This dataset was developed as part of the Parametric Open Data for Life Cycle Assessment Project (POD|LCA) Project which contains a suite of open-source methods, models, data, and a variety of tools for screening-level (early-stage) building sector life cycle assessments (LCAs). This dataset can be used to fill data gaps in LCA studies. It provides a characterization of building-scale LCA tools, enabling the identification of gaps within the LCA tool ecosystem and their capacity to support carbon-positive design. The dataset can also inform tool selection for LCA practitioners across the building industry. Please refer to the corresponding article for additional details. For more information on the POD|LCA project, please visit https://www.lifecyclelab.org/project/pod-lca/
Dataset DOI: 10.5061/dryad.905qftv17
Supporting open-source methods, models, data, and a variety of tools for the Parametric Open Data for Life Cycle Assessment (POD|LCA) Project.
Description of the data and file structure
Dataset of 32 Functions and features of 13 building-scale LCA tools
Files and variables
File: Building_scale_LCA_tool_review_dataset.xlsx
LCA Tools: One Click LCA- tool suite, Athena Impact Estimator, Etool, Tally, Cove Tool, Building Pathfinder, Autodesk Insight, BHoM, EC3, C.Scale, CARE, Autodesk Forma, REAL Tool
Variables
- General Features
- Intended use: The purpose of the development and use of the tool. "Educational use" is determined based on tool documentations. Educational tools often use simpler modeling pipeline and have less dependency on detailed input data on material and dimensions. "Design Evaluation" tools allows user to define at least two scenarios and comparing LCA results. "Complete assessment" tools allows user to define all materials and layers and if specific assemblies or material were used, input them.
- Tool format: How tool is presented to users, examples include stand-alone tools, web-based tools or dashboards, BIM plugins, Grasshopper (GH) plugins, and Excel.
- Building scope: Which parts of the building are included in the analysis, options are: Structure Envelope Interiors MEP
- Life cycle stage: What is the scope of LCA analysis by life cycle stage. Options are A1-A3, A4,A5, B, OC, C, D.
- Design stage compatibility
- Early LCA tools design: Early LCA tools allow user estimate environmental impacts in early stages of design without Bill-of-material (BOM). These tools are of three types: "Carbon Estimator" that provides a range of achievable carbon footprint by defining general features such as building use, applicable standard, location, ect. "Tools with Graphical Design Interface" that links to CAD design tools and read BOM from CAD. "Tools with Real-time Carbon Reporting" that shows iterative changes in design and their impact on results.
- Development stage: Tools that are used at later stages of design when a BOM is available
- Detailed design stage: Tools that are used at procurement and material selection stage.
- Modelling level: Starting point for LCA modeling. Examples are predefined materials, building elements or building benchmark.
- Connection
- Reads / Writes: Allows reading inputs from other formats and writing results in formats readable by other tools. There is no live connection between tools. The most basic link, allowing one-way data transfer between a CAD model and the LCA environment conducted by the user
- Integration: Enabling the LCA model to read design inputs directly from the CAD environment with minimal user effort.
- Interoperability: This is the most advanced connection type, supporting real-time data exchange between modeling environments
- Data
- Database: Embedded dataset within the tool. options are EPDs, Exclusive Dataset, EC3 tool, GaBi. Example of Exclusive dataset can be a dataset of selected EPDs, a selection of data from different sources, an exclusive data collected and prepared for the tool
- Utilizing open source LCI?: Shows upstream material and process data from an open-source LCI library. The input data is transparent and retrievable for each material.
- Choice of database allowed?: If the user can select the LCA database.
- Private data allowed?: If the tool allows user to input user-defined data
- Customization
- Can change A4 scenario?: If A4 is included, can the user change A4 scenario? This can be done by changing mode of transportation, distances, capacity rate of vehicle or adding transportation legs.
- Can change A5 scenario?: Can user change A5 emissions by defining material waste rate or equipment emissions. Can the user include demolish of existing building on site in this stage?
- B3/B4 default scenario?: Can the user define embodied emission in operation stage? This can be done by defining retrofit scenarios, repair and replacement rate, changing component/material life span.
- Can change EOL scenario?: Does the tool enable customized or user-selected EOL scenarios?
- Tool estimates OC?: if the tool can estimate operational carbon from a dataset, or embedded numerical model, etc.
- Accepts electricity emissions intensity?: If user can change, input or select a value for grid carbon intensity
- Accepts input data on equipment emissions?: If user can change, input or select a value for equipment emissions
- Accepts input data on fuel emissions?: If user can change, input or select a value for fuel emissions
- Outputs
- Environmental indicators: Environmental indicators reported by the tool. Options are Global Warming Potential, Acidification Potential, Eutrophication Potential, Smog Formation Potential, Human Health, Ozon Depletion Potential.
- Biogenic carbon reported separately?: Biogenic carbon is reported separately in a tool if neither the negative emissions of storing the CO2 from the atmosphere in A1 nor the release of it in C3 is included in GWP results. It would not be reported separately if the negative emissions are part of A1-A3 and C emissions
- Circularity included?: Does the tool report circularity in form of an indicator?
- Reporting
- Outputs format/visualization: The format of the tool output. The options are graphs, reports, tables, color-coding
- Time series: Data are provided with temporal granularity.
- Analysis
- Use of radiative forcing?: If the tool calculates GWP using dynamic Radiative Forcing Method
- Design alternatives comparison: If the tool can show the results of two or more design scenarios and allows comparing the results
- Benchmark comparison: If the results are compared with incumbent materials or baseline building or estimate baseline building operating energy LCA impacts. The tool may provide embodied or operational carbon benchmark analysis.
- Hotspot analysis: Shows the most significant contributors to the results. Hotspot analysis can be conducted by material, building component or life cycle stage.
- Uncertainty analysis: Estimates how much results could change based on variation in material impact
Abbreviations
O = The feature is included in the tool, but it only operates on additional input provided by user
OS = The feature is outside the scope of the tool
Code/software
No custom code or software is required to access or use the data files in this repository. The included data files can be opened using standard spreadsheet software or imported into programming environments.
Access information
Other publicly accessible locations of the data:
- This data is also accessible via the associated journal article
Acknowledgement
This material is based on work developed as part of the Parametric Open Data for Life Cycle Assessment (POD|LCA) project supported by the Advanced Research Projects Agency-Energy (ARPA-E) in the U.S. Department of Energy, under award number DE-AR0001624 as part of the program under program number DE-FOA-0001953 (Topic V: Life Cycle Assessment for Carbon Negative Buildings). This project also received partial funding from Natural Sciences and Engineering Research Council of Canada under award number ALLRP566285. The views and opinions of the authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Team members who contributed to this work include Stephanie Carlisle.
Methods:
This review was conducted using a multi-step methodology comprising a literature review, stakeholder input, characterization framework development, data collection, and data validation. For a detailed explanation of each step, please refer to the corresponding publication.
