Orientações sobre inventário de emissão GEE

Summary

In this presentation, Marcela Miranda, a master in Science for Sustainable Development and expert in Climate Change, discusses the key steps in compiling a Greenhouse Gas (GHG) emissions inventory. She outlines the IPCC guidelines for identifying key sectors, estimating emissions, selecting appropriate methods, collecting data, analyzing uncertainty, and reporting results. Marcela emphasizes the importance of transparency, consistency, and iterative improvements in the inventory process. She also introduces the GHG Protocol's addition of organizational scopes (1, 2, and 3) for more comprehensive inventory compilation, promising more detailed insights in future lessons.

Takeaways

• 😀 The IPCC 2006 guidelines provide essential steps for preparing a GHG emissions inventory, including sector identification, data collection, and analysis of uncertainties.
• 😀 Emission estimates are categorized into main sectors like Energy, Agriculture, Forestry, and Other Land Use (AFOLU), and Waste, helping prioritize efforts for inventory preparation.
• 😀 For calculating emissions, the most common approach is to use Activity Data (AD) and Emission Factors (EF), where Emission = AD x EF.
• 😀 Example: A diesel generator in a small food industry emits 491 tons of CO2 annually based on fuel consumption and emission factors.
• 😀 Data collection should ensure consistency, proper documentation, and verification to minimize errors and inconsistencies across the inventory period.
• 😀 The analysis of uncertainty is crucial to identify significant sources of error and prioritize improvements in data collection and methods.
• 😀 Key Category Analysis (KCA) helps to focus on the most impactful categories that contribute to overall uncertainty in the inventory.
• 😀 The goal of the final inventory report is to present emissions clearly and concisely, ensuring transparency and allowing for future improvements.
• 😀 The process of compiling inventories is iterative, improving with each new report as methodologies and data improve.
• 😀 The GHG Protocol adds layers of organizational structure to inventories, categorized into Scopes 1, 2, and 3, for better emissions tracking and management.

Q & A

What is the primary focus of the presentation in the script?

The primary focus is to provide guidance on how to compile an inventory of greenhouse gas (GHG) emissions, following the IPCC guidelines and the GHG Protocol.

What are the key steps involved in creating a GHG emissions inventory?

The key steps include identifying sectors and categories, estimating emissions, selecting calculation methods, collecting data, determining anthropogenic GHG emissions, conducting uncertainty analysis, analyzing key categories, and finally reporting the inventory.

Why is it important to identify sectors and categories when creating an inventory?

Identifying sectors and categories helps focus efforts on the most significant contributors to emissions, ensuring that the inventory is as accurate as possible given available resources.

What factors determine the selection of estimation methods for each category?

The selection of estimation methods depends on whether the category is considered key or not, as well as the availability of data and resources.

How is GHG emission calculated in the context of the script’s example with the ‘Taste Mais’ industry?

Emission is calculated by multiplying the activity data (in this case, the amount of diesel consumed) by the emission factor (in this case, CO2 emitted per liter of diesel). For ‘Taste Mais,’ the calculation is 153.6 million liters of diesel x 3.2 kg CO2 per liter, resulting in 491 tons of CO2.

What is the significance of historical data and temporal consistency in GHG inventories?

Historical data and temporal consistency are important for ensuring accurate comparisons over time and maintaining the reliability of emissions data. They allow for effective monitoring and management of emissions across years.

What are the two types of analyses mentioned in the script that are important for GHG inventories?

The two important types of analyses are the uncertainty analysis, which identifies and addresses sources of uncertainty in the data, and the key category analysis, which identifies categories that contribute significantly to uncertainty and can be improved for better accuracy.

How does uncertainty analysis contribute to improving a GHG inventory?

Uncertainty analysis helps identify variables with high uncertainty, aggregate uncertainties in components, and prioritize efforts to improve data collection and estimation methods, thus enhancing the overall quality and reliability of the inventory.

What is the role of the GHG Protocol in relation to IPCC guidelines for GHG inventories?

The GHG Protocol builds upon the IPCC guidelines by adding layers of organization, specifically the classification of emissions into scopes 1, 2, and 3, which help structure and refine the reporting of organizational GHG emissions.

Why is the iterative process of compiling inventories mentioned in the script, and how does it benefit future inventories?

The iterative process is mentioned because each new inventory improves upon the previous one, refining methods, data, and estimates, thereby increasing the accuracy and consistency of future emissions inventories.