Industry

Methane Detection for Wastewater Utilities

Support OFWAT’s 2030 methane reduction and 2050 net zero targets with measurements you can prove and act on. QLM’s Quantum Gas LiDAR quantifies methane from digesters, lagoons, sludge handling and flares, delivering real, continuous data instead of modelled estimates. Each unit provides mapped coverage with a radius of up to 250 metres, equivalent to approximately 20 hectares or 49 acres, with pinpoint accuracy. This helps utilities understand, reduce and monetise emissions across their sites.

EPA approval with SLB
Validated at METEC
Peer-reviewed academic study
Methane Detection for Wastewater Utilities

What wastewater teams must solve

UK wastewater utilities must now understand, report and reduce methane across every site to meet OFWAT’s reduction and net zero targets. Accurate, continuous visibility of emissions supports compliance, leak reduction and renewable energy recovery.

Intermittent and diffuse sources

Large, variable sites produce emissions that change over time. Snapshots miss intermittent or diffuse events across digesters, lagoons and headworks, leaving data gaps in methane reporting.

Legacy assets and seals

Floating roof digesters and ageing fittings leak at multiple points as process states shift. These persistent releases make it hard to maintain accurate, defensible emission baselines.

Safety and access

On-roof inspections are restricted by safety requirements and resources. Limited visibility delays detection and increases truck rolls, while lost gas represents both compliance risk and wasted energy potential.

How QLM solves it

QLM’s Quantum Gas LiDAR delivers continuous, high-accuracy methane detection across wastewater facilities. This enables utilities to capture real, continuous data rather than modelled estimates, providing the insight needed for confident decision-making and continuous improvement.

Intermittent and diffuse sources

Continuous monitoring

Fixed Quantum Gas LiDAR provides real-time coverage for digester arrays, sludge tanks and headworks with source location and rate estimates.

Ageing assets and roof leaks

Intermittent monitoring

Deploy on a planned cadence to verify baselines, investigate anomalies and document fixes without a permanent install.

Access and safety constraints

Site-level surveys

Map difficult areas such as sludge lagoons and open tanks to capture diffuse plumes and prioritise remediation.

  • Quantified methane detection with precise rate estimates
  • Continuous or right-sized intermittent site coverage
  • Accurate measurement for defensible reporting and carbon accounting
  • Real operational data that replaces assumptions and drives better outcomes

How the system works on your sites

QLM combines advanced Quantum Gas LiDAR hardware with QLM Cloud analytics to deliver complete, continuous visibility of methane emissions across wastewater facilities. The system provides real data with pinpoint accuracy, replacing assumptions and supporting confident, evidence-based decisions.

Quantum Gas LiDAR

Scans assets and renders methane plumes in 3D for real-time, 24/7 visibility. Elevated placement creates safe stand-off coverage of digesters and surrounding pipework. The system localises sources and estimates emission rates so teams can rank issues by impact and prioritise repairs where they matter most.

QLM Cloud

Detections flow to QLM Cloud for analysis, alerts, wind and context capture, and audit-ready reporting. Data is stored with timestamps, rate estimates and operator notes to maintain full provenance from detection to export. Insights integrate directly into carbon accounting, compliance reports and renewable energy planning.

QLM Quantum Gas LiDAR camera

QLM Quantum Gas LiDAR camera

Built for wastewater operations

Each Quantum Gas LiDAR unit maps an area with a radius of up to 250 metres, covering around 20 hectares with pinpoint accuracy. The camera visualises methane plumes in 3D and estimates emission rates across typical WWTP layouts. It supports continuous coverage at priority units and intermittent deployments to verify baselines, document fixes and accelerate improvement projects.

  • 3D plume visualisation with source localisation
  • Supports continuous and intermittent strategies
  • Integrates with QLM Cloud for timelines and exports
  • Provides verifiable data for methane reporting and decision-making

Where it delivers value

QLM’s system delivers measurable results across key wastewater processes, helping utilities verify repairs, reduce emissions, and feed accurate data into reporting and improvement projects.

Anaerobic digesters

Identify persistent roof leaks and quantify reductions after maintenance or roof upgrades to show verified improvements over time.

Sludge lagoons and tanks

Detect wide, low-concentration plumes and track variation with process changes to prioritise emission reduction and methane recovery efforts.

Headworks and covers

Monitor fittings and seals that fail intermittently and use rate data to guide targeted maintenance.

Pumps, flare and vent

Confirm combustion and vent performance with quantified records that support carbon accounting and audit evidence.

Turn methane reporting into measurable results

SEVERN TRENT WATER
100% Verified Data • Published 2024 • Spencer Seaman

Severn Trent Water deployed QLM's Quantum Gas LiDAR across multiple wastewater treatment works in a comprehensive methane detection programme spanning 2023-2024. The deployment discovered 37 previously unknown methane emission sources, quantified variable biogas leakage across digesters and lagoons, and delivered field-verified programme-level results showing the cumulative environmental and financial impact of systematic methane monitoring.

Early Detection Programme: 6-Month Deployment

37 methane sources discovered
Detection lag reduced by 6 months

Programme scope: Continuous monitoring across multiple treatment works identified 37 previously unknown methane emission sources, including faulty compressor valves, digester seal leaks, and biogas infrastructure inefficiencies. Average leak rate: 0.07 g/s per source.

Time advantage vs conventional LDAR: Early detection enabled remediation 6 months ahead of scheduled walkover inspections. Cumulative emissions avoided: 2,220 tonnes CO₂e. Remediation costs averaged low (under £5k per fix).

£455k
Total Programme Value (6 Months)

Digester Fleet Baseline: Annual Quantification

12 digesters measured
120 tonnes CH₄/year total emissions

Programme finding: Floating-roof digesters at medium to large AD treatment works averaged 10 tonnes methane/year per digester. Measured emissions were 'significantly lower' than modelled assumptions in the carbon accounting workbook, providing confidence for accurate Scope 1 reporting.

Fleet-wide financial impact: 12 digesters = 60,000 tonnes CO₂e/year. Annual recovery value: £900k carbon + £80k electricity with feed-in tariff + £150k gas-to-grid GGSS. Data now informs £60M+ remediation investment decisions across the fleet.

£1.13M
Annual Fleet Value (12 Digesters)

Lagoon Net Zero Roadmap: 12-Month Continuous Study

5 lagoons monitored continuously
30,000 tonnes CO₂e/year total emissions

Deployment insight: Uncovered sludge lagoons (100x50m) exhibited highly variable methane emissions (10-40 kg/hr) requiring year-round continuous monitoring for accurate quantification. Seasonal variation and loading rates significantly impacted total emissions. Satellite remote sensing corroborated ground-based LiDAR measurements at larger multi-lagoon sites.

Net Zero investment case: 5 lagoons = £3.3-13.5M annual carbon value + £500k-3M gas valorisation potential. 12-month measurement data enabled defensible business cases for complex remediation (lagoon covering, alternative AD plant design) and credible Net Zero target-setting.

£3.8-16.5M
Total Annual Value (5 Lagoons)
All data sourced from Severn Trent Water's published 2024 emissions programme (Spencer Seaman). QLM quantification methodology meets EPA protocols and international GHG accounting standards.

Measurement-based reporting turns LDAR into a closed loop; find, verify, fix, prove. QLM's system replaces estimation with quantifiable evidence, helping utilities measure, verify and prove methane reductions.

  • Time-stamped plumes and quantified rates make reviews faster
  • Continuous signals and well-timed returns capture intermittent releases
  • Site-level measurements roll up cleanly to utility-level disclosures
  • Events link to process states so teams fix what matters

Case Studies

Severn Trent Water: Minworth Biogas Facility

Monitoring biogas facilities at the UK's largest sewage treatment works

Severn Trent deployed QLM's Quantum Gas Lidar at Minworth, their largest sewage treatment works serving 2.3 million people. The system monitored a sixteen-tank anaerobic digester array and gas-to-grid plant producing 30% of their renewable energy. The trial successfully identified and quantified previously unknown fugitive methane emissions from digester tank walls, pipework joints and decarbonisation engines, providing Severn Trent with precise leak locations and flow rates to prioritise repairs by size, safety and maintenance impact.

Case Studies

What teams see in QLM Cloud

QLM Cloud provides utilities with a single platform to visualise, validate, and report methane emissions with full transparency. Continuous data replaces assumptions, providing defensible evidence for audits and carbon disclosures.

Real-time views

Detections with source localisation and rate estimates, showing verified activity across digesters, tanks and pipework.

Event timelines

Link detections to process states, track remediation progress and maintain a verifiable chain of events.

Multi-site dashboards

Monitor assets across regions, standardise reports and export clean, audit-ready evidence for compliance teams.

Questions from wastewater operators

Utilities often ask how continuous monitoring fits within existing operations, compliance goals and budgets. These answers reflect what QLM has delivered across real wastewater facilities.

Is continuous monitoring suitable for WWTPs?

Yes. Use permanent coverage on high-priority areas such as digester arrays and sludge handling, then add intermittent deployments and surveys on a planned cadence to cover wider assets. This blended approach supports OFWAT methane-reduction and net-zero targets without excessive infrastructure.

How does this help with utility reporting?

Measurement-based reporting provides defensible evidence for internal and external stakeholders. QLM Cloud maintains provenance from detection to export, with timestamps, rate estimates, and operator notes, giving utilities verified data for carbon accounting, ESG disclosures, and audit confidence.

Do we need permanent cameras everywhere?

No. Most utilities combine continuous coverage on critical units with intermittent deployments and site-level surveys to balance coverage, cost and return. This strategy reduces truck rolls, strengthens methane inventories and identifies opportunities to recover gas as renewable energy.

Talk to a wastewater specialist.

For procurement and compliance teams

Use this detail to plan a pilot, compare LDAR costs and map measurement to your reporting and methane-reduction obligations under OFWAT’s 2030 and 2050 goals.

Business case and ROI

Estimate recovered gas value from emission rate, gas price and time. Continuous measurement identifies long-term savings from leak prevention, reduced truck rolls and process optimisation, while supporting methane recovery as a renewable energy source.

Compliance mapping

Align outputs to utility ESG disclosures, carbon accounting frameworks and internal audit trails. Exportable evidence packages show full provenance from sensor to report and help validate methane emission factors for future reporting.

Deployment options

Start with a pilot at one WWTP. Scale to regional standards and then to enterprise. Choose purchase, lease or managed monitoring with analytics and alerting for simple adoption across operations.

Integration and data

Connect alerts to work management, export to common formats and integrate with data historian or SCADA systems. Operators retain ownership of measurement data, enabling transparent, enterprise-wide insight.