Abstract
Embodied carbon constitutes a significant portion of a building’s greenhouse gas (GHG) emissions and is a key challenge for the construction and real estate sectors. Embodied carbon includes construction product manufacturing, building construction, material replacement and end of life. During the specification and procurement stage, designers and contractors have the opportunity to prioritize products with lower carbon footprints. Environmental product declarations (EPDs) are a growing source of environmental data in the construction products market, and are increasingly being used for (1) environmental performance assessment of buildings and (2) product comparison for procurement decisions during the later stages of building design. An obstacle to identifying and purchasing lower embodied carbon products is a lack of data quality and the transparency of EPDs. However, EPDs vary widely in their data quality and specificity, which can lead to inaccurate and misleading comparisons. A new method is presented to account quantitatively for estimates of variation in underlying data specificity in EPDs to enable fairer comparisons between EPDs and to motivate the reporting of actual variability and uncertainty in EPDs. The application of this approach can help purchasers to assess EPDs quantitatively. Practice relevance Life-cycle assessments (LCAs) and LCA data can be used within the construction sector to evaluate buildings and to assist in design, specification and procurement decision-making. A new method is presented to support the assessment of comparability of functionally equivalent materials and products during the specification and procurement stage. Given the known variation and lack of precision within EPDs, this method provides quantitative metrics that correlate to a qualitative interpretation of EPD precision. This method can be used by anyone who is using EPD data to make product comparisons at the specification and procurement stage: It provides more confidence in choosing low-carbon material or product options when comparing between functionally equivalent options. It can incentivize product manufacturers and LCA practitioners to improve data quality and transparently report known variation in their EPDs. It may also motivate manufacturers to reduce GHGs from their products and processes.
Highlights
As a major contributor to global greenhouse gas (GHG) emissions, buildings and infrastructure must rapidly decarbonize before 2050 in order to meet global GHG reduction goals (IPCC 2018)
The method developed in this paper enables assessment based on the data included in global Environmental product declarations (EPDs) today in a manner that enables interpretation by building industry professionals
While acknowledging that EPDs have traditionally been focused on B2B communication and providing data for design-stage whole-building LCA (WBLCA), the authors propose that EPDs could serve in an expanded role to aid in the broader goal of lower carbon buildings
Summary
As a major contributor to global greenhouse gas (GHG) emissions, buildings and infrastructure must rapidly decarbonize before 2050 in order to meet global GHG reduction goals (IPCC 2018). The built environment is responsible for generating approximately 40% of energy-related global GHG emissions, and 11% is generated by Embodied carbon in construction materials the manufacturing of materials (IEA 2019). GHG emissions or ‘carbon impacts’ can be divided into two categories: operational carbon (attributed to operational energy consumption during the building’s lifetime) and embodied carbon (EC) (attributed to building materials, which includes impacts from material extraction, manufacturing and transportation, as well as building construction, maintenance, replacement of building components, demolition/deconstruction and disposal). EC is calculated using life-cycle assessment (LCA), which is the process of calculating the environmental impacts of an object or process according to standardized calculation methods ISO 14040 (2006b) and ISO 14044 (2006c).
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