Building Energy and Operational Performance

Define the decision before choosing an energy metric

Building owners use energy evidence for different decisions. They may need to compare properties, find operating waste, verify a retrofit, manage peak demand or decide where to invest. Each decision requires a different measurement boundary and level of detail.

Marketways states the building service, affected systems, decision period and available response before selecting the metric. A whole-building meter may support portfolio comparison, while a plant-level intervention may require submetering and equipment states. The metric follows the decision rather than determining it.

Distinguish asset capability from operating performance

The fabric and installed equipment establish what a building could achieve under stated conditions. Schedules, setpoints, maintenance, occupancy and control decisions determine how the building performs each day. A well-designed building can operate poorly, while a constrained asset may perform well within its physical limits.

Marketways separates characteristics that require capital change from conditions that operators can alter. This distinction directs an abnormal result towards operational correction, maintenance or investment. It also prevents management from promising operating savings that the existing asset cannot sustain.

Build a complete and consistent meter boundary

Utility bills may omit tenant supplies, on-site generation, district cooling, exported electricity or energy consumed outside the apparent building boundary. A change in meter configuration can then resemble an improvement or deterioration.

Marketways records every relevant energy flow, meter, unit, multiplier and time boundary. We reconcile interval data with bills and investigate gaps, resets and estimated readings. The resulting balance states what the analysis includes and prevents an unexplained boundary change from becoming a reported saving.

Use annual energy intensity as a screening measure

Energy use per floor area provides a useful first comparison between similar properties. However, the ratio combines every occupied hour, unoccupied hour, weather condition and building use into one annual value. It cannot show when or why the difference occurred.

Marketways uses annual intensity to identify properties that deserve closer examination, not to diagnose them. We compare like uses and record the assumptions behind floor area and occupancy. The next step examines the time pattern that the annual total conceals.

Locate waste in time before explaining its cause

Interval data can reveal persistent overnight load, early plant starts, weekend operation, sharp demand peaks or consumption that fails to fall when occupancy declines. These patterns narrow the operating question because they show when the excess occurs.

Marketways separates occupied, preconditioning, standby and closed periods. We compare weekdays, weekends, seasons and exceptional operating days. This chronology identifies the schedule or operating state that requires explanation before engineers examine the responsible system.

Normalise for weather, occupancy and building use

Cooling demand rises with heat, humidity, solar gain and occupancy. Hotels, hospitals, offices and retail properties also have different service requirements. Raw consumption therefore cannot establish which building operates efficiently.

Marketways models expected energy under comparable conditions. Relevant variables can include temperature, humidity, operating hours, occupancy, rooms sold, beds in use or another measure tied to the building's activity. The model estimates the range of consumption the observed conditions would support and identifies performance that remains unusual after normalisation.

Treat occupancy data as evidence with uncertainty

Badge entries, bookings, footfall sensors, tenant schedules and Wi-Fi counts measure different aspects of occupancy. None automatically represents the number of people present throughout the day. A model can produce a precise adjustment from an imprecise occupancy proxy.

Marketways examines how each source is generated, which occupants it excludes and the time resolution it can support. We test conclusions under credible alternative occupancy assumptions. Management can then see whether the apparent inefficiency survives uncertainty in the activity measure.

Connect the anomaly with building-system evidence

A normalised model may identify excess energy during a particular operating state. However, the statistical deviation does not reveal whether the cause is a schedule, sensor, valve, control sequence, equipment fault or unrecorded change in use.

Marketways connects the anomaly with building-management points, equipment commands, temperatures, pressures, work orders and operator notes. Facilities engineers test the plausible causes against the physical system. This step turns an energy signal into a defined investigation without presenting correlation as an engineering diagnosis.

Separate operating drift from a lasting structural change

Building performance can deteriorate gradually as overrides accumulate, sensors drift or operating hours expand. It can also change abruptly after refurbishment, a new tenant, a control upgrade or a revised service requirement. One static baseline can misinterpret either pattern.

Marketways tests for change points and records known operational events. We update the baseline only when the physical or operating change justifies a new comparison. Unexplained deterioration remains visible instead of disappearing through routine model retraining.

Choose a measurement boundary that matches the intervention

A lighting change, chiller replacement and portfolio-wide control programme affect energy at different scales. Whole-building metering captures interactions between measures but may not detect a small isolated saving. Equipment-level measurement provides detail but can omit effects outside the selected boundary.

Marketways selects retrofit isolation, whole-building analysis or calibrated simulation according to the intervention, expected effect and available evidence. We state what the method can verify and which interactions remain outside it. The measurement plan is proportionate to the decision and the materiality of the claimed saving.

Define the counterfactual before calculating savings

Energy savings cannot be measured directly because the energy the building would have used without the intervention is no longer observable. A simple before-and-after comparison fails when weather, occupancy, schedules or tariffs changed.

Marketways estimates a baseline from the pre-intervention relationship between energy and its material drivers. Reporting-period conditions are then applied to that relationship to estimate the counterfactual consumption. The difference between the counterfactual and measured consumption supports the saving claim, subject to model uncertainty and documented adjustments.

Record non-routine changes instead of hiding them in the model

A new tenant, additional floor, major equipment change or extended operating schedule can alter energy use beyond the routine variables in the baseline. If management ignores the change, the saving estimate becomes biased. If analysts adjust the baseline without transparent evidence, the result becomes impossible to audit.

Marketways records the event, date, affected load, evidence and calculation for every material non-routine adjustment. We show how the conclusion changes without the adjustment. This discipline protects the measurement process from both accidental error and convenient reinterpretation.

Protect comfort and service while reducing consumption

Lower energy use is not an improvement if the building achieves it through inadequate ventilation, poor temperature control, reduced opening hours or an unavailable service. Energy and operating outcomes must be evaluated together.

Marketways defines the required comfort, indoor-condition and service ranges before testing an intervention. We monitor complaints, relevant environmental measures, equipment availability and operating commitments alongside consumption. A saving qualifies as an improvement only when the building continues to deliver the required service.

Include demand, tariff and timing effects

Two interventions can save the same amount of electricity but produce different financial and system consequences. One may reduce consumption during a low-cost period, while another reduces the monthly peak or shifts demand away from a constrained interval.

Marketways separates energy, demand and cost. We apply the relevant tariff structure and test whether the intervention changes peak timing, demand charges or exposure to price variation. Management can then distinguish physical energy efficiency from financial savings created by timing or tariff.

Compare buildings without erasing local conditions

A portfolio needs common definitions and comparable measures. However, each building has a different use, climate, service requirement, tenant mix and metering arrangement. A league table can encourage local teams to dispute the metric rather than investigate the performance.

Marketways uses consistent boundaries and hierarchical comparisons while preserving material site differences. We identify buildings that remain unexpectedly high or low after adjustment and quantify the uncertainty around each comparison. The result directs investigation without pretending that every property should consume the same amount.

A schedule change illustrates the verification chain

Suppose an office building continues running air-conditioning late into the evening despite lower occupancy. Interval data show the timing, but they do not establish whether the cause is a fixed schedule, overtime use, tenant request, equipment protection or an operator override.

Marketways combines energy, occupancy, control schedules, equipment states and service records to test the explanations. If management approves a revised schedule, the measurement plan estimates the counterfactual under the same weather and occupancy while monitoring comfort and complaints. The team can then judge whether the schedule change reduced avoidable consumption without weakening the required service.

AI can monitor an approved performance model

Once management has accepted the baseline, thresholds and evidence requirements, an AI-assisted workflow can monitor new data, identify a material deviation and retrieve the relevant building context. It can prepare an investigation pack or route the exception to the responsible facilities manager.

Marketways tests missing data, changed point mappings, stale occupancy feeds, conflicting signals and unauthorised control actions. The workflow should not change setpoints, override protection or certify a saving without the required authority and verification. Automation maintains attention; it does not replace engineering or measurement judgement.

Verify persistence after the initial improvement

An intervention can perform as intended during commissioning and lose its benefit after schedules, controls or operating behaviour change. A one-time saving estimate therefore cannot establish durable performance.

Marketways defines the reporting period, review frequency, uncertainty and persistence tests when the intervention is approved. We track whether the normalised improvement remains, investigate material drift and record corrective action. The operating team learns which changes endure and which require stronger controls or maintenance.

How Marketways improves building energy performance

Marketways combines Operational Performance Diagnostic, Statistics and Econometrics, measurement and verification, engineering evidence and controlled AI workflows. We define the boundary, normalise demand, locate operating deviations, test causes and verify interventions.

The result states where controllable waste occurs, which explanation the evidence supports, what management should change, how the building service will be protected and whether the improvement produced persistent energy, demand or cost savings.

Related guides and evidence

• Predictive Facilities Maintenance
• Energy, Water and Emissions Performance
• Energy-Efficiency Opportunity Portfolio
• Portfolio Capital and Refurbishment Prioritisation
• Building Energy Optimisation with AI Agents
• Tenant, Resident and Community Experience
• Property Portfolio Maintenance, Energy and Capital Prioritisation: case study