Guide

Energy-Efficiency Opportunity Portfolio

An operation may consume less energy because production fell, occupancy changed or weather became milder. None of those changes proves that equipment or operating practice became more efficient. Management must first estimate how much energy the same operation would have used without an intervention.

Marketways builds that counterfactual baseline, identifies the mechanism behind each opportunity and compares measures through verified saving, operating consequence, investment and uncertainty. The resulting portfolio shows which measures to implement, test, redesign or reject.

Define the service or output that energy supports

Energy consumption supports an operating result. A factory produces goods, a building maintains acceptable conditions and a utility moves or treats a defined volume.

Marketways begins by defining that output and the operating conditions that affect energy use. Relevant variables may include production mix, throughput, occupancy, weather, schedules, equipment availability and quality requirements.

This framing prevents a reduction in output or service from appearing as efficiency. It also identifies the variables that the baseline must control.

Build a baseline for comparable conditions

A simple comparison between two periods combines the intervention with every other change that occurred. The organisation cannot attribute the difference to the efficiency measure unless it adjusts for material operating conditions.

Marketways develops an interpretable statistical or engineering baseline. The model estimates consumption under the reporting-period conditions without the intervention. We test fit, stability, residual patterns and sensitivity before using it to claim savings.

The baseline should be no more complex than the decision requires. Engineers and managers need to understand which relationships drive the result and where the model no longer applies.

Locate avoidable consumption through an operating mechanism

An unusual energy reading identifies a question, not an opportunity. Higher use may reflect legitimate production, a faulty sensor, equipment degradation, an unsuitable control sequence or avoidable idle operation.

Marketways connects interval energy data with equipment state, process events, schedules and maintenance evidence. We use engineering review to determine which mechanism can be changed safely.

This step converts an analytical signal into an intervention. Without it, management may receive a long list of anomalies but no defensible action.

Test whether the saving creates a cost elsewhere

Reducing runtime or changing a set point can lower energy while increasing defects, maintenance, waiting or discomfort. A local intervention can also shift load to another system or more expensive time.

Marketways identifies the affected process and evaluates relevant service, quality, reliability and workforce consequences. Engineering and operating leaders determine whether the proposed change remains feasible and safe.

The portfolio includes net operating value rather than energy savings alone. A measure should not rank highly because its wider costs sit outside the energy account.

Distinguish technical potential from achievable saving

Technical potential estimates what an ideal intervention could save. Actual performance also depends on controls, commissioning, operating discipline, maintenance and persistence.

Marketways records the implementation conditions required for each opportunity. We apply uncertainty to savings, cost, downtime and persistence rather than presenting one precise payback.

This distinction allows management to compare a large theoretical opportunity with a smaller measure that the organisation can implement and sustain more reliably.

Compare measures through a constrained portfolio

Energy-efficiency measures compete for capital, engineering attention and shutdown windows. Some opportunities also interact. One project may reduce the saving available to another or create an enabling condition for it.

Marketways models these dependencies and constraints. We compare net value, verified saving, uncertainty, implementation time, operational risk and strategic relevance without forcing every criterion into an arbitrary financial score.

The portfolio selects a feasible combination. Ranking each project independently can recommend more work than the organisation can fund or execute.

Use pilots when learning can change the decision

Some measures involve a minor reversible control change. Others require capital, interruption or a design that is expensive to reverse.

Marketways identifies which uncertainty matters to the investment and whether a pilot can resolve it. A useful pilot represents the equipment, load and operating conditions that determine performance at scale.

Staging has value only when management defines the decision that follows. The plan should state what result triggers expansion, redesign or stop.

Define measurement and verification before implementation

Savings cannot be measured directly because the organisation cannot observe energy use with and without the intervention at the same time. Measurement and verification estimates the missing counterfactual.

Marketways defines the baseline, measurement boundary, adjustment variables, reporting period and uncertainty before implementation. The approach follows the scale and nature of the measure, whether it concerns one system or a whole facility.

After implementation, we compare actual consumption with the adjusted baseline and investigate material deviations. Output, service and quality measures remain beside the energy result.

Monitor whether savings persist

Equipment, tariffs, product mix and operating practices change. A measure can initially deliver savings and later drift as controls are overridden, sensors fail or the process changes.

Marketways defines persistence measures and review triggers. An analytical workflow can compare actual energy and operating conditions with the verified baseline and prepare an exception for engineering review.

An Agentic AI workflow may retrieve evidence and route approved follow-up tasks. It must not change safety-critical controls or approve investment. Engineers and authorised managers retain those decisions, and every recommendation must cite current evidence.

Judge the portfolio by verified value

Counting identified or completed projects rewards activity rather than results. Management needs to know whether measures produced persistent savings without weakening output, quality, comfort or reliability.

Marketways tracks verified saving, net value, implementation rate, persistence and material operating effects. We also record why projects were redesigned or rejected, because those decisions protect capital from weak opportunities.

The portfolio is reviewed when operating conditions or economics change. A previously rejected measure may become viable after a tariff, technology or process change.

A production-site portfolio illustrates the method

Suppose several sites show different energy intensity for the same product family. A simple ranking labels the highest-intensity site inefficient and recommends equipment replacement.

The adjusted baseline may show that product mix, ambient conditions and lower utilisation explain much of the gap. Interval analysis may still identify avoidable idle running and an unstable control sequence. One operating change can be tested quickly, while equipment replacement requires a later shutdown and stronger evidence.

Marketways would verify the mechanism, quantify net value and create staged decisions. Management would fund measures supported by comparable conditions rather than act on an unadjusted league table.

How Marketways develops the opportunity portfolio

Marketways normalises energy use for operating conditions, identifies actionable mechanisms and tests whether each intervention creates a genuine net saving. We compare projects through uncertainty, constraints, operating effects, staging and measurement requirements.

The engagement may combine Operational Performance Diagnostic, Business Feasibility Study and Regression and Econometric Modelling. Management receives a feasible portfolio, explicit assumptions, verification plans and triggers for continuing review.

Related guides and evidence

References

  1. ISO 50015: Measurement and verification of energy performance
  2. US Department of Energy: Energy Management Information System capabilities
  3. US Department of Energy: Measurement and verification for performance-based contracts
  4. Data-driven multicriteria assessment of energy-efficiency investment
  5. Portfolio retrofit evaluation methodology