The pathway to net zero: how clean burning hydrogen can help to hold climate change at bay

Applications | 2023 | Thermo Fisher ScientificInstrumentation
GC/MSD
Industries
Energy & Chemicals
Manufacturer
Thermo Fisher Scientific

Summary

Importance of the Topic


Transitioning energy systems away from fossil fuels toward low-carbon alternatives is a core policy objective for many jurisdictions seeking net-zero emissions by mid-century. Clean hydrogen—produced from renewable electricity or low-carbon processes—can reduce CO2 emissions when blended into natural gas networks or used directly in industry and power generation. Reliable, rapid, and accurate analysis of fuel-gas composition and derived properties (calorific value, Wobbe index, CO2 emission factors) is essential for safe combustion control, carbon reporting, fiscal metering and emissions trading compliance. Analytical approaches must be robust to variable hydrogen content, offer fast cycle times and low operating costs to support large-scale hydrogen roll-out and grid blending strategies.

Objectives and Overview of the Application Note


This application note reviews the role of process mass spectrometry (MS) in monitoring fuel-gas composition in the context of hydrogen blending, power generation and emissions trading. It summarizes regulatory drivers (ETS, national blending targets), outlines infrastructure developments (HyNet, European Hydrogen Backbone), and presents independent performance evaluation results of a scanning magnetic sector MS (Thermo Scientific Prima PRO) by EffecTech using ISO 10723 test protocols and Monte Carlo uncertainty analysis. The aim is to demonstrate whether process MS can meet the analytical, fiscal and emissions-reporting requirements posed by increasing hydrogen content in fuel gases.

Methodology and Analytical Approach


The evaluation combined experimental testing and statistical uncertainty analysis:
  • EffecTech assessed the Prima PRO using ISO 10723 measurement quality standards covering compositional analysis and derived properties relevant for natural gas and hydrogen blends.
  • Reference mixtures included nine components (N2, CO2, CH4, C2H6, C3H8, C2H4, C3H6, H2, CO) across wide concentration ranges to reflect realistic meter-point variability.
  • Each reference gas was measured for 30 cycles over 5 minutes (10 s cycle time) to evaluate repeatability, linearity and response time.
  • A Monte Carlo simulation (5,000 randomized compositions within defined component ranges) was used to propagate measurement uncertainties into derived physical properties and CO2 emission factors, reporting expanded uncertainties at approximately 95% confidence (k=2).

Used Instrumentation


  • Thermo Scientific Prima PRO process mass spectrometer—scanning magnetic sector design with ion source, magnetic sector, Faraday detector and secondary electron multiplier for trace sensitivity.
  • Turbo drag vacuum pumping and cold-cathode vacuum gauge to maintain required analyzer vacuum.

Main Results and Discussion


  • Linearity and speed: The Prima PRO demonstrated excellent linear response across component ranges and fast cycle times (10 s per cycle), outperforming thermal conductivity detectors on GC for several analytes and enabling near-real-time monitoring needs for combustion control.
  • Uncertainty of derived properties: Monte Carlo results indicated low expanded uncertainties for key properties—net and gross calorific values, Wobbe index, relative density and CO2 emission factors—suitable for fiscal metering and emissions reporting. Typical relative expanded uncertainties reported were on the order of 0.05–0.12% for calorific values across simulated composition ranges, with similar low uncertainties for density and Wobbe number.
  • Robustness to hydrogen content: MS provides full composition information from 0–100% hydrogen without hardware changes; software configuration is sufficient to adapt measurement methods, avoiding the need to reconfigure columns or carrier gases as with GC.
  • Operational advantages: Process MS requires no carrier/detector gases, reduces long-term consumable costs, and offers extended intervals between calibrations and maintenance relative to many alternative techniques.
  • Combustion considerations: While hydrogen combustion avoids CO2 generation, NOx formation remains a consideration; accurate hydrogen quantification supports combustion tuning to limit NOx while maintaining safe ignition characteristics.

Benefits and Practical Applications


Process mass spectrometry offers several practical advantages in the hydrogen economy and power-generation context:
  • Fast, continuous composition monitoring to enable combustion optimization, turbine safety and minimization of fuel consumption.
  • Provision of composition data required for fiscal metering (volume × compressibility × heating value) and for emissions trading compliance (accurate CO2 emission factors).
  • Flexibility to handle a wide dynamic range of hydrogen blends without hardware reconfiguration, simplifying deployment at sites where blend levels may change over time.
  • Low ongoing operational cost due to absence of carrier/detector gas requirements and modest utilities consumption.
  • Proven applicability in heavy industries (iron & steel) and suitability for process and exhaust gas monitoring, supporting cross-sector reuse of instrumentation and expertise.

Future Trends and Potential Applications


  • Scaling monitoring solutions across hydrogen blending corridors and distribution networks will require interoperable, field-deployable analytical systems with remote diagnostics—process MS is well placed to meet these needs.
  • Integration with real-time process control and emissions accounting platforms will increase the value of rapid compositional data for grid balancing, carbon reporting and dynamic pricing mechanisms under emissions trading schemes.
  • Further reductions in analyzer footprint, power consumption and cost will broaden MS adoption for decentralized and edge applications (e.g., local blending stations, hydrogen refueling points).
  • Advances in data analytics and digital twins will leverage frequent, high-resolution composition data from MS to predict combustion behavior, optimize hydrogen blending strategies and minimize NOx while preserving combustion stability.

Conclusion


The application note demonstrates that scanning magnetic sector process mass spectrometry (Prima PRO) provides fast, accurate and linear compositional analysis suitable for hydrogen-blended gas streams, power-generation monitoring and fiscal metering. Independent testing against ISO 10723 criteria and Monte Carlo uncertainty propagation shows that MS can deliver the measurement quality and low uncertainties required for emissions trading, custody transfer and combustion control while offering operational advantages over traditional GC methods. As hydrogen deployment accelerates, process MS is positioned to become a core analytical technology enabling safe, efficient and verifiable use of low-carbon hydrogen in energy systems.

References


  1. High-Level Expert Group on the Net Zero Emissions Commitments of Non-State Entities.
  2. European Commission. Explanation of the EU Emissions Trading System (EU ETS).
  3. Energy Networks Association. Britain’s Hydrogen Blending Delivery Plan.
  4. European Commission Joint Research Centre. Blending hydrogen from electrolysis into the European Gas Grid, 19 January 2022.
  5. HyNet Northwest project information.
  6. European Hydrogen Backbone (EHB) report and pan‑Europe hydrogen infrastructure proposals.
  7. International Organization for Standardization. ISO 10723: Natural gas — Measurement quality standard for composition measurement and derived properties.

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