Analysis of greenhouse gas emission mitigation potential and financial viability in Southeast Asian landfill sites for Article 6 project development
Through the application of a relevant accounting methodology, the team modelled the Greenhouse Gas emissions profile of multiple sites, using data recovered from local teams, and developed a business model to understand the viability of these sites for NDC collaboration between an acquiring country and the Southeast Asian countries.
In order to complete the project, Neyen collected data from landfill sites in four countries in Southeast Asia, through the distribution of surveys to responsible authorities in the landfills, desk research, and contacting primary sources of information. Using this data, Neyen developed numerical models of emissions and used adequate accounting methodologies to estimate emissions reduction potential for landfill gas flaring and uses like electricity production or industrial use. We then estimated the level of carbon finance required for making these projects viable.
The result of this study concluded on which sites would have the greatest mitigation potential and viability if financially supported under Article 6 cooperative approaches.
Although emitted in smaller quantities, methane is a considerably more potent greenhouse gas in comparison to carbon dioxide. According to the International Energy Agency (IEA), methane is accountable for roughly 30% of the global temperature increase. In addition to their role in mitigating global emissions, initiatives aimed at reducing methane from waste management also typically enhance site management, thereby reducing health and safety risks. Therefore, it is imperative for emerging and fast-growing economies to prioritize the evolution of waste management as densely populated areas continue to expand.
Obtaining primary data can be a formidable task. Government counterpart data does not always correspond with data from site concessions. To ensure the success of the initiative, it is imperative to have a local team in place and effectively communicate the purpose and importance of the data to counterparts and stakeholders.