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2050 Materials Documentation
  • 🎇Getting started with 2050 Materials
    • 2050 Materials Platform
    • Using our LCA Tools
    • Using the API
      • Product Data (Open Data)
      • Product Data (Full)
      • Generic Material Data
      • Automated Mapping (Get Best Match)
      • Early-Stage Embodied Carbon Model
      • Code Examples
      • Google Colab Notebooks
  • 💾Data Documentation
    • Content of API Endpoints (Descriptive)
    • Data Sources
    • Data Import
    • Data Structuring & QA
    • 2050 Materials Data Framework
  • ⚛️Methodology Documentation
    • Fallback values
    • Calculated Metrics (Biogenic Emissions)
    • Unit Conversions
    • Calculating Generic Material Data
    • Tools
      • Embodied Carbon Optimiser Tools
      • Embodied Carbon Benchmarks Tool
  • Resources
    • 🗞️Version Log
    • 📺Watch a tutorial
    • 🌟Access the platform
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On this page
  • Understanding Fallback Values in 2050-Materials Platform
  • Overview
  • Key Physical Properties
  • Application and Importance
  • Transparency and Data Integrity
  • Conclusion

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  1. Methodology Documentation

Fallback values

Understanding Fallback Values in 2050-Materials Platform

Overview

Fallback values in the 2050-Materials platform serve as default estimates for key physical properties of construction materials when actual measurements are unavailable. These properties include density, grammage, linear density, and mass per piece. They play a crucial role in unit conversion processes, as detailed in our unit conversion documentation.

Key Physical Properties

  • Density (kg/m³): Used for converting volume to mass.

  • Grammage (kg/m²): Important for converting area to mass.

  • Linear Density (kg/m): Relevant for materials measured by length.

  • Mass per Piece (kg/piece): Used for products counted by pieces.

Application and Importance

Fallback values are carefully associated with specific material types and, optionally, product types. This ensures accurate and meaningful estimates that enhance the quality of our data, especially for unit conversions.

Transparency and Data Integrity

  • Clear Indication: Whenever a fallback value is used, it is clearly indicated in our system. This distinction is made to differentiate between reported values from certificates and estimated values.

  • Maintaining Accuracy: The use of fallback values allows us to maintain data accuracy and integrity, especially in cases where certified data is not available.

Conclusion

Fallback values are an integral part of the 2050-Materials platform, ensuring that our data remains robust and reliable, even in the absence of specific measurements. This system allows for more accurate analysis and comparison of environmental data related to construction materials.


Note: This document is intended for customers of the 2050-Materials platform, providing an overview of fallback values and their role in our data system.

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Last updated 1 year ago

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