Modelling to generate alternatives with an energy system optimization model

@article{DeCarolis2016ModellingTG,
  title={Modelling to generate alternatives with an energy system optimization model},
  author={Joseph F. DeCarolis and Samaneh Babaee and Bin Li and S. Kanungo},
  journal={Environmental Modelling and Software},
  year={2016},
  volume={79},
  pages={300-310}
}
Energy system optimization models (ESOMs) should be used in an interactive way to uncover knife-edge solutions, explore alternative system configurations, and suggest different ways to achieve policy objectives under conditions of deep uncertainty. In this paper, we do so by employing an existing optimization technique called modeling to generate alternatives (MGA), which involves a change in the model structure in order to systematically explore the near-optimal decision space. The MGA… CONTINUE READING
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