In the face of uncertainty in technological change and the diverse modelling approaches employed to provide insights to decision-makers about Energy  R&D investment, it is unclear how much R&D investment should be allocated across a range of low carbon energy technologies to decarbonize the energy sector.  In this work, we incorporate parametric and structural uncertainties from technological change and modelling frameworks to identify non-dominated portfolios of energy  technology that are robust across multiple models and beliefs about energy R&D investment. Robustness across multiple models is necessary in the robust assessment  of the future socioeconomic value of technological improvements, especially if common ground can be found across experts and models.

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