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According to standards in the ISO 14040 and 14044, an LCA is carried out in four distinct phases. These phases are:
The phases are interdependent. This means none of the stages can be complete until the entire study is complete.
At the heart of every LCA lies a clear and concise goal statement. This statement serves as the guiding light. It highlights the purpose of the assessment and outlines how the results will be used.
According to ISO standards, a robust goal statement must address several key components:
Clearly define the intended use of the LCA results. For example, internal decision-making, public disclosure, or regulatory compliance.
Articulate the motivations behind undertaking the assessment,. For example, identify environmental hotspots; compare alternative products; or drive improvements.
Specify the audience for whom the results are intended. I.e. internal stakeholders, consumers, investors, or regulatory bodies.
Determine whether the results will be disclosed publicly. Determine if they will be used to make comparative assertions.
Collaborating closely with the team carrying out your study is essential. This will ensure they gain a comprehensive understanding of why the assessment is being conducted.
Once the goal is established, the next step is to define the scope of the study.
According to ISO guidelines, the scope should encompass the following elements:
Define the boundaries of the system under study. This should comprise all relevant processes necessary to perform a specific function. This includes activities from raw material extraction to end-of-life disposal or recycling.
Specify precisely what is being assessed and quantify the service delivered by the system. The functional unit serves as a reference for comparing alternative products or processes. It must be clearly defined to ensure comparability.
Determine the amount of product or energy required to fulfil the functional unit. This provides a basis for normalisation and comparison across different systems.
Determine the limits or boundaries to be included in the analysis. Consider factors such as co-products, system expansion, and allocation methods. The system boundary should align with the goal of the study.
Document assumptions or decisions made throughout the study that may influence the results. Include data quality requirements and sources, to facilitate reproducibility and reliability.
Address the issue of multi-functionality by specifying the method used to partition inputs and outputs, ensuring consistency and comparability in the allocation of environmental burdens.
Provide an overview of the impact categories of interest and the methodology used. This lays the groundwork for the subsequent impact assessment phase.
In essence, the goal and scope of an LCA serve as the foundation upon which the entire assessment is built. It ensures stakeholders can ensure the integrity of the LCA results.
LCI analysis starts with creating a flow model of the technical system involved in producing the product. This model is often depicted as a flow diagram, illustrating the activities within the system boundary. The more detailed the diagram, the more accurate the results. Data collection is then conducted for all activities within the system boundary.

According to ISO standards, the process of LCI analysis involves several key steps:
Define the goal and scope of the study to guide data collection efforts.
Gather information on inputs, outputs, and processes within the system boundary.
Ensure the accuracy and reliability of collected data, even if obtained from other sources.
Allocate flows for processes with multiple inputs or outputs based on predefined procedures.
Quantitatively represent each process in relation to the functional unit of the study.
Compile all collected data into a structured inventory of elementary flows.
Collecting data for LCI analysis can be very challenging. Especially when dealing with proprietary or confidential information. In such cases, secondary data sources may be used, such as LCA databases or literature sources. However, it’s crucial to document any discrepancies or limitations associated with secondary data. This will ensure transparency and reliability.
The quality of LCI data is evaluated using various methods, including pedigree matrices, which assess data reliability and accuracy based on predefined criteria. These evaluations help ensure the credibility and robustness of LCI results.
Let’s break down the key steps involved in LCIA, as outlined by the ISO 14040 and 14044 standards:
Optional Steps:
Express LCIA results relative to a chosen reference system. i.e. impacts per geographical zone, per person or per industrial sector
LCIA results can be grouped or ranked based on defined criteria within the study’s goal and scope. However, grouping is subjective and may vary across studies.
This step determines the relative significance of each impact category. It allows for aggregation of impact scores into a single indicator for comparison. ISO 14044 advises against weighting in studies intended for public disclosure. If weighting is used, both weighted and non-weighted results should be reported.
The results are summarized during the interpretation phase. The outcome of the interpretation phase is a set of conclusions and recommendations for the study. According to ISO 14043 the interpretation should include the following:
A key purpose of performing life cycle interpretation is to determine the level of confidence in the final results. This ensures all data is communicated in a fair, complete, and accurate manner. This is done by identifying the data elements that contribute the most to each impact category.
All based on a clear understanding of how the LCA was conducted and the results were developed.
CarbonBright helps companies turn their environmental data into business opportunities. Our LCA software produces fast and scalable life cycle assessments empowering product companies to measure, analyze and lower their product impact. Book a demo today.
1. How can companies make Life Cycle Assessments (LCAs) faster and more scalable?
Traditional LCAs are time-consuming and resource-intensive due to complex data collection and analysis requirements. Companies can accelerate the process by using digital LCA software platforms that automate data gathering, streamline system boundary modeling, and align with ISO 14040 and 14044 standards.
2. What tools or software can help automate Life Cycle Assessment (LCA) data collection?
Modern LCA tools integrate directly with product and supply-chain data sources to automate Life Cycle Inventory (LCI) creation. This minimizes manual entry errors and improves data quality.
3. How can a company ensure its LCA aligns with ISO 14040 and ISO 14044 standards?
Compliance requires defining a clear goal and scope, using transparent data collection procedures, and applying consistent impact assessment methods.
4. What is the most efficient way to identify environmental hotspots in a product’s life cycle?
Hotspot identification relies on robust Life Cycle Inventory (LCI) data and accurate impact modeling. Advanced software can pinpoint high-impact materials, processes, or suppliers in real time.
5. How can businesses turn LCA results into actionable sustainability strategies?
Performing an LCA is only the first step—real value comes from translating insights into measurable improvements.