THE OPPORTUNITY
Marginal emissions data can empower faster decarbonization
To tackle the climate crisis and slash carbon pollution, leaders and decision makers of all kinds need access to the right data to make the best choices. Marginal emissions data provide valuable insight into decarbonization pathways, by making it possible to compare the real-world emissions impacts of electricity system interventions.
THE CHALLENGE
Accurate data are needed to inform better decisions
A growing number of institutions and researchers are either creating marginal emissions datasets or using them to estimate the effect of decarbonization interventions.
However, to date, there has been relatively little work done to analyze the accuracy of marginal emissions data in an objective, shared framework that anyone can apply to any marginal emissions dataset. VERACI-T was created to help solve that problem.
However, to date, there has been relatively little work done to analyze the accuracy of marginal emissions data in an objective, shared framework that anyone can apply to any marginal emissions dataset. VERACI-T was created to help solve that problem.
THE TASK
Validating marginal emissions datasets for consequential impact
VERACI-T is developing common, objective techniques to verify marginal emissions data through peer-reviewed research. We are dedicated to identifying, creating, and sharing tools and techniques to estimate and compare the accuracy of different existing and potential new marginal emissions datasets.
We will continue to make all our research, methods, and results free and open to assist corporations, governments, researchers, and anyone else who is interested in evaluating the potential emissions-reduction impacts of different decarbonization decisions.
We will continue to make all our research, methods, and results free and open to assist corporations, governments, researchers, and anyone else who is interested in evaluating the potential emissions-reduction impacts of different decarbonization decisions.
What are "marginal emissions data"?
Marginal emissions datasets estimate the change in total global greenhouse gas emissions that happens when one makes changes in the world, such as shifting the timing of electricity use or selecting the location of wind farms. There are different types of marginal emissions data, such as data designed to measure short-run or long-run changes, or big or small changes.
