Define the brief
Set the goal and scope, choose the functional unit and define the system boundary before any modelling starts.
A good Life Cycle Assessment does more than produce a carbon number. It helps clients compare options, test assumptions, identify the real drivers of impact and show whether a proposed development is likely to reduce overall emissions in tonnes of CO2 equivalent.
For agriculture, energy systems and industrial projects, that can be the difference between a weak sustainability claim and a robust technical case supported by internationally recognised methodology.
This visual shows how LCA helps move from a baseline and a proposed development to a decision-ready comparison in total life-cycle emissions.
Life Cycle Assessment is a structured method for evaluating the environmental impacts of a product, process or system across its life cycle. In practical terms, it helps answer a simple but important question: if this development goes ahead, will the total environmental burden go up or down?
That means moving beyond single-point claims such as “renewable”, “recycled” or “low carbon”, and instead testing the whole system: raw materials, manufacture, transport, installation, operation, maintenance and end of life.
ISO describes LCA around four linked stages: goal and scope definition, life cycle inventory, life cycle impact assessment and interpretation. ISO 14040 sets out the principles and framework, while ISO 14044 specifies requirements and guidelines. Where the focus is specifically on the carbon footprint of a product, ISO 14067 sits alongside that framework.
In practice, this means a good LCA should define the purpose of the study clearly, collect inventory data consistently, translate that data into impact indicators such as climate change, and then interpret the results in a way that supports real decisions.
In practice, the quality of an LCA depends heavily on the goal, scope, functional unit and system boundary. If those are weak, the results can be misleading even if the modelling is detailed.
For example, if a client wants to know whether a new agricultural technology reduces emissions, the study has to compare like with like: the same function, the same output basis, and clearly defined boundaries. Otherwise, a lower-emission process on paper may simply be shifting burden elsewhere in the life cycle.
For planning, grant or investment cases, the most useful question is often not “what is the carbon footprint?” on its own, but “how does the proposed system compare with the baseline?” This is where LCA becomes commercially powerful.
Set the goal and scope, choose the functional unit and define the system boundary before any modelling starts.
Establish the current or conventional system that the proposed development needs to outperform.
Build the life cycle model around materials, manufacture, transport, operation, maintenance and end of life.
Use the same function, output basis and scope so the result is credible and decision-ready.
Not just at the point of use, but across manufacture, transport, operation and disposal.
Materials, electricity, transport, equipment manufacture, or end of life? LCA reveals the hotspots.
A well-run interpretation phase helps improve the design, not just report the result.
In agricultural systems, a robust LCA can be used to compare residue handling, composting, anaerobic digestion, biochar production, fertiliser substitution, nutrient recovery and transport choices on a like-for-like basis.
This matters because results can change materially depending on the functional unit, the system boundary and the treatment of biogenic carbon. Good LCA makes those assumptions visible and testable rather than hiding them behind a headline claim.
LCA is particularly valuable in industrial and energy developments because it allows a proposed system to be compared with a conventional baseline across manufacture, transport, operation and end of life. That creates a defensible basis for showing whether a proposal is likely to reduce total emissions in tonnes CO2e.
Instead of claiming a technology is simply “greener”, a developer can show that, on a full life cycle basis, the proposed system has a lower total burden than the conventional alternative.
This is especially useful where projects need to justify capital investment, planning support, grant funding, procurement choices or broader decarbonisation claims.
Composts, fertilisers, biochars, bedding products, manure-treatment systems and farm-scale residues.
Solar, heat pumps, hybrid energy systems, biomass pathways and other low-carbon infrastructure options.
Material substitutions, process changes, recovery systems and lower-emission production pathways.
Baseline versus proposal studies to quantify whether a scheme delivers lower total emissions in tCO2e.
Carbon is often the most decision-relevant number, especially where the question is whether a scheme reduces overall emissions. But LCA can also include wider categories such as eutrophication, acidification, toxicity, resource use and ozone depletion, depending on the purpose of the study.
That broader view matters in agriculture and water-sensitive systems, where a lower-carbon option may still shift burdens to nutrients, land or water if poorly designed.
This full-width example shows how Life Cycle Assessment can be applied to a solar PV project, from goal and scope definition through inventory analysis, impact assessment and interpretation. It helps clients see how a baseline and a proposed system can be compared to show whether overall emissions are reduced across the project lifetime.
If you need to compare a proposed agricultural or industrial development against current practice, RESNI can help define the scope, structure the assessment, model the system and present the results in a way that is useful for planning, investment and technical decision-making.
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