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Capacitive and Infrared Gas Sensors for the Assessment of the Methane Number of LNG Fuels

  • Jörgen Sweelssen
  • , Huib Blokland
  • , Timo Rajamäki
  • , Arjen Boersma*
  • *Corresponding author for this work
  • Netherlands Organisation for Applied Scientific Research (TNO)

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Liquid Natural Gas (LNG) is an energy source that is becoming more important in energy transition, as the world is facing lower the CO2 emissions and backup sources for wind and solar energy are needed. LNG is becoming a major player not only as fuel for power plants, but also in transport and mobility. However, the composition of LNG varies significantly between the various production locations around the world, and the layering of hydrocarbons with different molecular weights takes place even in LNG containers. This is especially critical for LNG engines, in which the ignition properties of the gas depend heavily on the fuel quality or Methane Number (MN) of the gas. For optimized engine operation and motor management, this fuel quality should be measured regularly, preferably online and by a small and low-cost sensor. This paper presents two sensor solutions for the assessment of the full gas composition. For both sensors, the standard deviation in the composition of the relevant hydrocarbons was low enough to calculate the Methane Number with an accuracy of approximately 1 MN unit. It was demonstrated that the electronic capacitive sensor was better suited to assess the higher hydrocarbons, whereas the infrared sensor showed higher selectivity for the lower hydrocarbons.
Original languageEnglish
Article number3345
Number of pages18
JournalSensors
Volume20
Issue number12
DOIs
Publication statusPublished - 12 Jun 2020
MoE publication typeA1 Journal article-refereed

Funding

This work is part of the EMPIR 16ENG09 project ’Metrological support for LNG and LBG as transport fuel (LNG III)’. This project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • energy transition
  • methane number
  • gas composition sensor
  • capacitive sensor array
  • interdigitated electrodes
  • responsive coatings
  • tunable filter infrared spectormeter
  • LNG
  • biogas

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