McGill University engineers have unveiled an open-source model that helps more accurately estimate greenhouse gas emissions across the natural gas supply chain. The development simplifies calculations and shows that methane indicators are often underestimated.
A team of researchers has developed an open source SLiNG-GHG model to estimate carbon dioxide and methane emissions from mining, transportation and shipping natural gas. The tool is available in the public domain and is designed not only for specialists, but also for representatives of business, government agencies and public organizations.
AI model was created at the request of the US National Petroleum Council and with the support of the Department of Energy. The development is based on an analysis of more than 2,200 scientific publications and a detailed comparison of data from 16 studies that have passed a strict selection. Based on them, scientists have built a calculation system that tracks the movement of gas and associated emissions at each stage.
Particular attention is paid to methane, one of the most dangerous greenhouse gases. Based on the results of the work, actual methane emissions could be either a quarter lower or more than three times higher than the values typically used in traditional estimates. The reason is leaks, which are poorly taken into account in standard methods and are often calculated using averaged data.
The authors note that underestimates undermine confidence in climate reporting and prevent effective decision-making. The new tool allows you to quickly and accurately compare different scenarios, assess risks and adjust climate policy.
The developers emphasize that open AI model makes emissions assessment more transparent and accessible. This enables governments, companies and investors to better understand the true climate footprint of natural gas and make informed decisions.
Source: Phys.org
