Example report · sample dataset

Smith Energy Consulting

Energy consumption analysis – Harwood Fabrication Ltd

90 days of half-hourly data · 2026-06-01 to 2026-08-29

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Annualised consumption

121,890 kWh

Est. annual spend (at 26.0p/kWh)

£31,700

Est. carbon footprint

21.6 tCO2e/yr

Overnight baseload

4.4 kW

Energy intensity

143 kWh/m²

Quantified opportunity*

~£1,300/yr

*Sum of findings with a quantified saving estimate, at the assumed rates below: indicative, subject to operational review, not a verified saving. Cost exposures (e.g. the out-of-hours figure) are not saving estimates: how much of them is recoverable depends on the operational review in each finding.

Load profile

WeekdayWeekend
01020304000:0004:0008:0012:0016:0020:0023:30kW
Average demand by time of day across the data period.

Consumption heatmap

00:0004:0008:0012:0016:0020:0024:0006-0106-1506-2907-1307-2708-1008-24
0–88–1616–2424–3232–4040+kW weekendHover for detail
Each column is one day (midnight to midnight, top to bottom). Schedule drift, weekend running, and anomaly days show up as colour where there should be none.

Executive summary

Harwood Fabrication used 30,055 kWh over the 90 days from 1 June to 29 August 2026, which annualises to roughly 121,890 kWh, or about 21.6 tonnes of CO2e a year. At 143 kWh per m² across 850 m², the site's consumption is dominated by a steady overnight draw and a sizeable share of activity outside core weekday hours. The largest single question this data raises is what is running when the factory is closed; agreed capacity is the second, smaller opportunity.

Overnight baseload

The site never drops below roughly 4.4 kW overnight. At the assumed unit rate of 26p/kWh that constant draw represents an estimated exposure of around £10,000 a year. A manufacturing site will always carry some legitimate overnight load: servers, compressors holding pressure, refrigeration, security and emergency lighting. The point is not that 4.4 kW is wrong, it is that nobody has yet attributed it circuit by circuit, so there is no way to say which portion is genuinely required.

Out-of-hours consumption

Around 24% of total consumption falls outside 7:00 to 17:00 on weekdays, an estimated ~£7,500 a year at the assumed rate. Some of that will be shift overrun, cleaning, warm-up and legitimate early starts. The useful exercise is to set your time-clock and building controls schedules against what actually happens on site, then work down from the largest out-of-hours loads rather than trying to tackle everything at once.

Weekend consumption

Weekend days average 125.3 kWh against 414.2 kWh on weekdays, about 30%. That is broadly consistent with a site that shuts down at weekends but keeps essential plant live, and it is largely the same baseload described above. If the half-hourly heatmap shows a repeating weekend block at a particular time, that is worth pulling apart as part of the out-of-hours review.

Agreed capacity vs peak demand

Peak demand over the period was 40.6 kW against an agreed capacity of 120 kVA, leaving roughly 66% headroom. On the face of it, moving toward about 50 kVA while retaining a margin of at least 20% would reduce availability charges by an estimated ~£1,300 a year. Three caveats matter before anyone touches this. Under DCP161, any half-hour that exceeds agreed capacity is billed at penalty rates of roughly three times the standard charge, so the margin has to be real. A capacity change can also shift the site between TNUoS and DUoS charging bands, and that can move costs in either direction. Finally, capacity given up can be expensive or slow to get back if the business adds plant later. This should be quoted and checked with the DNO, not simply requested.

DUoS red-band exposure

Only 10% of consumption falls in the typical weekday 16:00 to 19:00 distribution red band, though exact band times vary by region. That is a favourable shape. It is worth putting in front of suppliers at tender, because a profile weighted away from the expensive delivery hours supports sharper pass-through pricing than a flat-rate quote will reflect.

Data coverage

Ninety days of half-hourly data at 100% interval coverage, with no anomalous days. The findings above rest on a complete dataset.

Recommended next steps

1. Attribute the overnight load: carry out an after-hours walk-round or pull circuit-level data, then put anything non-essential onto 7-day timers or corrected BMS schedules.

2. Compare current time-clock and BMS schedules against actual occupancy, and investigate the largest out-of-hours loads first using the half-hourly heatmap to pinpoint when they occur.

3. Ask the DNO for a capacity-review quote at around 50 kVA, and confirm the TNUoS/DUoS banding effect and the metered kVA maximum demand, including power factor, before committing to any reduction.

4. Cite the low red-band share when the contract next goes to tender, to support a keener pass-through offer.

Findings and recommended actions

Overnight baseload

info

The site draws a constant ~4.4 kW overnight, an exposure of roughly £10,000/year at the assumed unit rate. Some of this is usually operationally necessary (servers, refrigeration, security); the question is how much.

Recommended action: Attribute the overnight load: walk the site after hours or check circuit-level data, then put anything non-essential on 7-day timers or corrected BMS schedules.

Out-of-hours consumption

opportunity

24% of consumption falls outside 7:00–17:00 weekdays, costing ~£7,500/year at the assumed rate. Not all of this is waste; the useful question is how much of it should be running.

Recommended action: Compare time-clock and BMS schedules against actual occupancy; investigate the largest out-of-hours loads first (the heatmap shows when they occur).

Agreed capacity vs peak demand

opportunity

Peak demand was 40.6 kW against 120 kVA agreed capacity (66% headroom). Reducing toward ~50 kVA (keeping a ≥20% margin) could save ~£1,300/year in availability charges. Caveats: under DCP161, exceeding agreed capacity incurs penalty rates (~3× standard); capacity changes can move the site across TNUoS/DUoS charging bands in either direction; and surrendered capacity may be costly to reinstate.

Recommended action: Ask the DNO for a capacity-review quote at the suggested level, and confirm the TNUoS/DUoS banding effect and the metered kVA maximum demand (power factor) before committing to any reduction.

DUoS red-band exposure

info

Only 10% of consumption falls in the typical DUoS red band (weekday ~16:00–19:00), a favourable profile for pass-through or time-of-use pricing.

Recommended action: Mention this favourable profile when tendering; it supports sharper pass-through pricing.

Weekend consumption

info

Weekend days average 30% of weekday consumption (125.3 vs 414.2 kWh/day).

Recommended action: Broadly consistent with weekday operation. Any regular weekend block visible in the heatmap is covered by the out-of-hours review above.

Data coverage

info

90 days of data at 100% interval coverage; 0 anomalous day(s) (daily total >3× or <0.2× the median).

Recommended action: Coverage is sufficient for the analysis in this report.

Assumptions & methodology

Data: 90 days of half-hourly meter readings (2026-06-01 to 2026-08-29), 100% interval coverage, as supplied. All figures are derived solely from these readings; nothing is modelled or imputed.

Unit rate: £0.260/kWh (blended, assumed). Delivered cost in practice includes standing, capacity, and pass-through charges, so verify against the actual contract before acting on any £ figure.

Capacity charges: £1.60/kVA/month (assumed availability rate). Peak demand in kW is treated as ≈ kVA (power factor ~1).

Carbon: 0.177 kgCO2e/kWh grid electricity factor.

Floor area: 850 m² (as supplied), used only for the energy-intensity figure.

Operating hours: 7:00–17:00 weekdays (detected from the weekday load profile). Annualisation scales the observed daily average to 365 days. Note: the data period does not cover a full year, so annualised figures do not reflect seasonal variation; 12 months of data is recommended before contract decisions.

Overlap: the baseload figure is a 24/7 cost and the out-of-hours figure covers all consumption outside operating hours; they overlap substantially and must not be added together.

Savings basis: £ opportunities are indicative exposures at the stated rates, presented conservatively and rounded; realising them requires the operational review described in each action. They are not verified savings under any M&V framework.