Build an open source energy system model. The initial version will consist of a technology rich, partial equilibrium model.
Utilize only open source software tools, including the programming language, database, graphing and visualization tools, and solvers. This will make the TEMOA model accessible to anyone with the interest to run it.
Design the model in a way that makes uncertainty analysis easy to perform. We plan to automate sensitivity analysis, Monte Carlo simulation, multi-stage stochastic optimization, and search techniques to find near-optimal alternative solutions.
Utilize multi-core and compute cluster environments to perform rigorous uncertainty analysis. Given the steep drop in computer hardware, running code in an “embarrassingly parallel” fashion to enable uncertainty analysis has become a practical and cost-effective option.
The TEMOA Project