About

Motivation

Rapid advances in technology, growing climate risks, and energy security concerns are transforming how energy is produced, delivered, and used. Energy system optimization models help guide planning by projecting how policies and technologies may shape the future. These models typically identify least-cost energy pathways by optimizing technology deployment over decades.

The development of Tools for Energy Model Optimization and Analysis (Temoa) circa 2010 was driven by two observed shortcomings in the prevailing approach to energy system modeling: - Most energy models were not open source, and therefore it was impossible to replicate published results. - Most model-based analyses relied on narrow scenario sets with a cursory treatment of future uncertainty, limiting their ability to inform sound policy decisions.

Our Guiding Objectives

• Deliver a state-of-the-art, open-source energy system optimization model.
• Archive snapshots of model source code and data used to produce published model-based analysis, enabling third party verification of published results.
• Utilize open-source software tools wherever possible to minimize the barriers to entry in energy modeling.
• Build a toolbox of uncertainty assessment methods to ensure model insights are conditioned on future uncertainty.