Decarbonisation Technology August 2026 Issue

more mature systems may experience lower incremental gains but faster implementation timelines. Operational savings alone do not capture the full value. In many cases, revenue impacts dominate the business case. For example, a 1%

Digital PCF

Cost savings Operational eciency

Revenue upside Commercial advantage

Risk reduction Regulatory resilience

Labour reduction

Eciency gains

Product premium

Market share

Compliance cost

Audit readiness

Figure 4 Business case structure (value drivers)

across assets, enhanced auditability, and traceability and advanced scenario modelling capability. While more complex and resource- intensive, this pathway provides greater scalability and regulatory readiness. The critical choice is how far to digitalise and at what pace. Cost, savings, and payback Quantifying the business case is essential for investment decisions. Typical findings from pilot studies include: • Pilot implementation costs in the range of $200,000 to $500,000. • Annual operational savings of approximately $70,000 to $230,000. • Payback periods of typically between three and five years. These values can vary significantly depending on several factors (see Figure 4 ), including the maturity of the existing PCF process, the size and complexity of the asset base, the degree of data fragmentation, energy opportunities with corporate emissions, energy performance reporting platforms, and the level of digital infrastructure already in place. Organisations with highly manual, fragmented processes often see greater relative benefits, while those with

product price premium, enabled by verified low- carbon credentials, can generate multi-million- dollar annual revenue increases, depending on production scale, and improved transparency can support market share gains in regulated or premium markets. This shifts the business case from cost reduction to value creation. Role of pilots Successful organisations typically adopt a phased approach to implementing digital PCF. Rather than attempting large-scale transformation from the outset, they begin with a focused pilot, often a single product or asset, where the value is clearest. From there, the emphasis is on automating the most reliable data streams and building confidence in both the technical solution and the underlying assumptions. As capability develops and value is demonstrated, the approach can then be scaled progressively across the wider portfolio. This pragmatic pathway avoids significant upfront investment while proving value early and building internal momentum (see Figure 5 ). Implementation is not without challenges. Integration efforts frequently expose data gaps previously hidden within siloed systems, and legacy infrastructure without modern

application programming interfaces (APIs) can limit automation. Organisations must also manage the human dimension with new processes requiring shifts in roles, responsibilities, and ways of working. Recognising these risks early is essential to designing pathways that are robust and scalable.

Step 1: Align on decisions Dene the decisions PCF must enable (commercial,

Step 2: Build data foundations Identify and automate the highest condence data streams

Step 3: Establish calculation engine Deploy a governed scalable PCF engine aligned to standards

Step 4: Integrate into workows Embeded PCF into operational and commercial tools

Step 5: Scale & automate Expand across assets, products ,

and future forecasting

operational, compliance)

Outcome: A digital PCF system that is fast, trusted , auditable , and embedded in real decision-making

Figure 5 Implementation pathway (how to start)