GHG FRAMEWORK OVERVIEW SENEGAL WASTE SECTOR

This report establishes the theoretical foundation for an MRV system in Senegal's waste sector as part of a project to implement Nationally Determined Contributions (NDCs). It defines MRV components, outlines core GHG accounting principles such as transparency and accuracy, and categorizes MRV applications into emissions, actions, support, and other outcomes. The document emphasizes that an effective MRV system serves as a planning tool for continuous improvement and a mechanism to attract climate finance by providing high-resolution data on emission reductions.

• The document defines Measurement (M) as the collection of data to track progress, utilizing two primary approaches: 'Top Down', which uses aggregated sectoral statistics and emission factors, and 'Bottom Up', which collects data directly from emitting installations.
• Reporting (R) involves compiling information in standardized formats for accessibility and public disclosure, while Verification (V) is the periodic independent assessment of that information to ensure its 'completeness and reliability'.
• MRV frameworks generally converge on six core GHG accounting principles: Transparency, Accuracy, Completeness, Consistency, Comparability, and Relevance.
• MRV is applied across four distinct categories: the tracking of emissions, the assessment of mitigation actions, the monitoring of international and intranational support (finance, technology, and capacity), and the tracking of other outcomes such as SDGs or energy access.
• An MRV System is described as an ecosystem of organizations, individuals, and tools that functions as a 'planning tool within a continuous improvement management system' to inform stakeholders and optimize resource allocation.
• A high-quality MRV system can facilitate the attraction of climate finance to achieve NDCs by providing the necessary resolution and assurance to ensure 'best value for money'.
• Typical components of an MRV system include physical capacity (e.g., weighbridges), human capacity (e.g., process engineers), raw data, data series, methodologies (e.g., ISO 14064), software tools, and quality assurance/quality control (QA/QC) processes.

APA

Stockholm Environment Institute (2021). GHG FRAMEWORK OVERVIEW SENEGAL WASTE SECTOR. https://www.sei.org/wp-content/uploads/2021/03/20210330-ghg-mrv-framework-overview-senegal-waste-sector-final-2.pdf

Chicago

Stockholm Environment Institute. GHG FRAMEWORK OVERVIEW SENEGAL WASTE SECTOR. 2021. https://www.sei.org/wp-content/uploads/2021/03/20210330-ghg-mrv-framework-overview-senegal-waste-sector-final-2.pdf.

Wikipedia

{{cite report |author=Stockholm Environment Institute |title=GHG FRAMEWORK OVERVIEW SENEGAL WASTE SECTOR |date=30 March 2021 |url=https://www.sei.org/wp-content/uploads/2021/03/20210330-ghg-mrv-framework-overview-senegal-waste-sector-final-2.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{stockholmenvironmentinstitute2021ghg, author = {{Stockholm Environment Institute}}, title = {{GHG FRAMEWORK OVERVIEW SENEGAL WASTE SECTOR}}, institution = {Stockholm Environment Institute}, year = {2021}, month = mar, url = {https://www.sei.org/wp-content/uploads/2021/03/20210330-ghg-mrv-framework-overview-senegal-waste-sector-final-2.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }