Carnegie Mellon University

Frequently Asked Questions (FAQ)

Who is funding this effort?

Thanks to the Alfred P. Sloan Foundation, this effort is funded for three years, 2020-2022. Our goal is to turn this into a long-term effort with additional funding. If you are interested in supporting this effort, please contact us.

Why use Temoa?

Temoa is ideally suited to this project, as it was designed to (1) be open source, in order to enable third party replication of results, and (2) perform rigorous uncertainty analysis in a high performance computing environment.

All models have their own unique strengths and weaknesses. Temoa is an energy system optimization model (ESOM), which is described in more detail here and here. Because ESOMs explicitly represent a large number of energy technologies, they are able to address questions related to system-wide technology deployment over time under different assumptions and policy scenarios. Such models can also address the cost and emissions implications of specific technology portfolios over time. The other strength of ESOMs is the ability to model technology deployment and related trade offs across the entire energy system. However, given the broad scope of these models, the spatial and temporal granularity is typically less compared to more specialized sector-specific models. In addition, these models are considered “partial equilibrium” because they don’t account for economic implications outside the energy sector. This paper explains the strengths and weaknesses of different model types in more detail.

Where can I find more details on this modeling effort?

Dynamic project elements, including model source code, input data, and documentation are housed within the project’s Github repository and updated frequently.

How can I participate?

We welcome suggestions on any and all aspects of the effort. You can find out details on becoming a member of the OEO Consortium here. Please join our public mailing list. In addition, use the GitHub Issue Tracker to comment on code, data, and data documentation within the OEO project repository.