The product

Thirteen modules over one auditable dataset.

Every module reads the same normalised figures, computed once at full precision. Nothing is re-keyed, nothing is re-rounded, and no view can quietly disagree with another.

01 · OVERVIEW

The six numbers that get asked about.

Headline energy performance indicators against a baseline year you configure — not one hard-coded three years ago by whoever built the workbook. Change the baseline and every comparison on the page moves with it.

  • Total energy, total GHG, specific energy consumption
  • Carbon footprint, flare intensity, generation efficiency
  • Configurable baseline year, applied consistently everywhere
  • Portfolio-wide or filtered to any subset of sites
Overview · baseline 2021
Total energy
1,284 GWh
▼ 6.2%
Total GHG
412,900 t
▼ 4.1%
Specific energy
0.71 kWh/bbl
▲ 1.8%
Carbon footprint
0.23 t/bbl
▼ 2.4%
Flare intensity
1.9%
▼ 0.6 pp
Gen. efficiency
34.8%
▲ 1.1 pp
02 · ENERGY

Consumption by source, and by where it actually went.

Every fuel normalised to kWh using the site heat contents of record — the calibrated ones out of your workbook, not a generic table. Read it by source, or by end use, over any window.

  • Fuel gas, diesel, gasoline, purchased electricity
  • End uses split out rather than pooled into “other”
  • Site heat contents of record, versioned and shown
  • Monthly granularity across the full history
Energy by source · kWh
Fuel gas Diesel Purchased electricity
03 · EMISSIONS

Scope 1, decomposed by pathway.

Not a single Scope 1 figure with a footnote. Eight pathways, each computed from its own factor at GWP-100, so when a number moves you can see which pathway moved it. Scope 2 sits alongside at the published grid factor for that year — not this year's factor applied to history.

  • Fuel gas, flaring, diesel, gasoline, methane
  • Process CO₂, SF₆ / NF₃, refrigerants at GWP-100
  • Scope 2 at each year's own published grid factor
  • Refrigerant inventory carried over from your workbook
Scope 1 by pathway · tCO₂e · FY2026
Fuel gas238,400
Flaring54,100
Diesel21,700
Methane (CH₄)12,900
Process CO₂4,300
Refrigerants · SF₆ · NF₃1,180
Scope 2 · grid, 2026 factor80,320
04 · ENERGY FLOW

Where the energy goes, on one common basis.

A Sankey from fuel to end use, everything converted to kWh first so the widths are actually comparable. It is usually the first view that changes someone's mind about where the waste is.

  • Fuel in, end use out, losses shown rather than absorbed
  • Common kWh basis using site heat contents
  • Any site, any period, any subset
Fuel → end use · kWh
FUEL GASDIESELGRID PROCESS HEATPOWER GEN FLARELOSSES
05 · SITES

Benchmarking that refuses to divide by nothing.

Producing and non-producing locations are held apart, so an intensity metric is never shown against an absent denominator. It is the single most common way a portfolio league table lies to the person reading it.

  • League tables across seven indicators
  • Producing and non-producing sites separated by design
  • A portfolio ratio is total energy over total production — never the average of each site's own ratio
  • Best and worst month per site, and per portfolio
Site benchmark · SEC · FY2026
SitekWh/bblvs baseRank
PLANT-020.58▼ 9.1%1
PLANT-050.63▼ 5.4%2
PLANT-010.71▼ 1.2%3
PLANT-040.84▲ 6.8%4
PLANT-060.91▲ 11.3%5
TERMINAL-03n/a
TERMINAL-03 is non-producing — no intensity is computed, and it is excluded from the ranking rather than shown as zero.
06 · DATA & QUALITY

The two things the spreadsheet was hiding.

Coverage and exclusions, stated outright. Every ETL normalisation is logged, every defect the checker finds is listed with its site, its month and its materiality — and nothing below the threshold is suppressed, it is just sorted underneath.

  • Coverage panel naming every exclusion and its materiality
  • Automated defect detection across the full history
  • ETL normalisations logged, not silently applied
  • Methodology module reads factors from the database, never hard-coded
Automated findings · 14 open
MATERIAL
Division by zero in specific energy consumption
PLANT-04 · 2026-03 · production denominator null
MATERIAL
Metered diesel excluded from headline total
PLANT-01 · 2025-11 → 2026-02 · 4.2% of Scope 1
REVIEW
Heat content differs from site of record
PLANT-02 · fuel gas · 2 months affected
NOTE
11 further findings below materiality
all listed, none suppressed
Also included

The seven modules that do not need a diagram.

Analysis

Best and worst months and sites across seven indicators; a trend for any of ten, per site or portfolio.

Decarbonisation

Progress against a reference year, with cumulative emissions set beside the same months of that reference.

Costs

Energy spend against consumption, so a fall in cost is never mistaken for a fall in usage.

Impact

Counterfactual modelling: what a decarbonisation action actually achieved, measured against what would have happened without it — not a before/after guess.

Reports

Monthly performance, detailed monthly and detailed yearly — reproduced from the source of record, printable to PDF.

Sources

Every input traced back to the sheet, column and row it came from.

Methodology

Every conversion factor, GWP and formula, read from the database rather than hard-coded into a page.

Export

Full-precision CSV for any selection. The figures you export are the figures that were computed.

Auditability

Every figure is a URL.

No slicer state to reconstruct, no “which version of the file was this?”. Any number in Envera — a site, a month, a baseline, an indicator — has an address. Send the address; whoever opens it sees exactly what you saw.

dashboard.envera-tech.com/en/emissions?site=PLANT-04&from=2026-01&to=2026-06&baseline=2021

Why this matters at audit. An assurance reviewer does not have to trust your recollection of which filters were applied. They re-run the link. The figure either reproduces or it does not — and that is the entire argument.

Migration

No migration is believed until the old numbers survive it.

Envera is seeded from a read-only extract of your workbook. The source file is never modified and your production instance is never contacted. Then every historical figure is reproduced and reconciled against the original — and where the two disagree, we show you why the spreadsheet was wrong.

01 · EXTRACT

An offline, read-only copy of the workbook. Your file stays exactly where it is, untouched.

02 · RECONCILE

Every month, every site, every indicator recomputed and set against the original figure to the last decimal.

03 · EXPLAIN

Each difference traced to its cause — rounding, an exclusion, a stale factor — and signed off before go-live.

Proof

What a reconciliation actually looks like.

Not a claim — a row-by-row comparison, delivered before go-live, so you sign off the differences instead of taking our word for them.

Verified against the source workbook · engine test suite
Assertions reconciled
7,523 / 7,524
396 site-months × 19 columns
Tolerance method
Propagated per formula
not one flat epsilon
Unresolved
1
reported, not hidden

This is the automated check that runs before every release, against the engine's own reference dataset — not specific to any one client. The table below shows the shape a client-specific migration reconciliation takes.

ILLUSTRATIVE — the figures below are a sample layout, not a real client's reconciliation. A real report is produced during onboarding, against your own workbook, and shared with you directly.
Sample reconciliation extract · PLANT-02 · Scope 1, tCO₂e
Month Old report Envera Difference Cause
2025-1118,40218,391−11Compounded rounding
2025-1219,58819,5880Matched exactly
2026-0117,14017,884+744Diesel excluded in original
2026-0218,95518,912−43Stale heat content

See it against your own workbook.

One month, one site. We will show you what your current report says, what it should say, and the difference between them.