gxceed
← 論文一覧に戻る

Session 12. Oral Presentation for: First steps for an Australian fugitive methane emissions testing centre

オーストラリアにおける fugitive メタン排出試験センターの第一歩 (AI 翻訳)

Bruce W. E. Norris

Australian Energy Producers Journal📚 査読済 / ジャーナル2026-06-18#エネルギー転換経営インパクト: 調達リスク対象セクター: energy
DOI: 10.1071/ep26545
原典: https://doi.org/10.1071/ep26545

🤖 gxceed AI 要約

日本語

本発表は、豪州LNGのメタン強度計測を目的とした試験施設構想の初期知見を報告する。定量光学的ガスイメージングカメラと高流量サンプラーの性能を、実験室およびパイロット規模で10kg/hまでの制御放出と比較した。正確な fugitive 排出データの生成は、クレジブルな開示と効果的な緩和策の優先順位付けに不可欠である。

English

This presentation reports initial findings for an Australian testing centre aimed at quantifying methane intensity from LNG supply chains. It compares the performance of quantitative optical gas imaging cameras and high-flow samplers against controlled releases up to 10 kg/h at lab and pilot scales. Accurate fugitive emission data is critical for credible disclosure and effective mitigation prioritisation.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本は豪州からのLNG輸入に大きく依存しており、メタン排出の正確な計測は日本の脱炭素目標達成と欧州メタン規制対応に直結する。本試験センターは、日本のLNG調達における低メタンLNGの選択を可能にする信頼性の高いデータ基盤を提供する。

In the global GX context

With global initiatives like CLEAN and the EU Methane Regulation demanding lower methane intensity in LNG, this Australian testing centre provides a model for generating trusted data to support credible disclosures and prioritise mitigation. It directly supports the growing need for independent technology assessment in the context of TCFD/ISSB frameworks.

👥 読者別の含意

🔬研究者:Researchers can use the controlled release comparison results to validate the accuracy of QOGI and high-flow samplers for methane quantification.

🏢実務担当者:Practitioners seeking to select LDAR technologies for fugitive methane detection can refer to the independent performance data for QOGI cameras and high-flow samplers.

🏛政策担当者:Policymakers can leverage this testing centre model to establish national standards for methane measurement and support regulation compliance.

📄 Abstract(原文)

Presented on 20 May 2026: Session 12 The methane intensity of liquefied natural gas (LNG) is of increasing interest to importers in Asia and Europe, as sourcing lower-carbon energy supports their decarbonisation strategies. This is evidenced by initiatives such as Coalition for LNG Emission Abatement toward Net-zero (CLEAN) and the European Methane Regulations and necessitates a particular focus for Australia’s future energy exports on acquiring credible data to demonstrate the lower-methane intensity of LNG supply chains. Methane emissions can result from many sources such as leaks, venting and incomplete combustion. The ability to accurately report these fugitive emissions enables credible disclosures and effective mitigation prioritisation. To identify and report fugitive sources, screening and quantification are required, which relies on the generation of high-quality, trusted data. For operators and regulators, the question arises: which measurement technologies are worth the investment? Third-party evaluation to independently test, assess and qualify technologies is a key enabler. The Future Energy Exports Cooperative Research Centre (FEnEx CRC) is currently leading an initiative to establish an ongoing testing capability in Australia with a view of ultimately providing a fit-for-purpose facility that incorporates training and knowledge transfer between government, industry and academia; this will build on previous efforts domestically and internationally. This paper highlights some of our initial findings when assessing the efficacy and usage of a set of leak detection and repair (LDAR) candidate technologies including both quantitative optical gas imaging (QOGI) cameras and high-flow samplers. The quantification capabilities of these systems were compared against ‘white’ controlled releases, up to 10 kg/h, at both the lab and pilot scales using facilities located at the University of Western Australia’s (UWA) Crawley and Shenton Park campuses. To access the Oral Presentation click ‘Supplementary data’ below. To read the full paper click here

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。