ENERGEIA in Action – Research and Policy Applications

ENERGEIA has been used in cutting-edge research projects to simulate real-world electricity markets. From policy impact assessments to investment viability studies, ENERGEIA has helped quantify complex dynamics and interactions within the power sector.

Beyond research, these applications demonstrate the platform’s value in supporting regulatory and investment decisions through rigorous, data-driven analysis.

Explore a sample of the research that has relied on ENERGEIA:

Sample Research Cases

Fossil Fuels and Renewable Energy: Mix or Match?

Rand Journal of Economics (2025)N. Fabra and G. Llobet

ENERGEIA was used to simulate counterfactual wholesale market outcomes under five distinct scenarios — including a no-crisis scenario and variations that help identify the effects of the Iberian solution and the accompanying energy-saving measures.

Storage and Renewable Energies: Friends or Foes?

Economic Journal (2025)D. Andrés-Cerezo and N. Fabra

ENERGEIA was used to model electricity markets with varying levels of renewable penetration and storage capacity, evaluating the interaction between both technologies.

Unpacking the Distributional Effects of the Energy Crisis: Lessons from the Spanish Electricity Market

EnergyEcoLab Working paper (2025)N. Fabra, A. Lacuesta, and M. Souza

ENERGEIA was used to estimate the scale of renewable investments required to achieve emission reductions comparable to those observed during the COVID-19 pandemic.

Degrowth versus Decoupling: Competing Strategies for Carbon Abatement?

European Economic Review (2022)Fabra, A. Lacuesta, and M. Souza

ENERGEIA was used to estimate the scale of renewable investments required to achieve emission reductions comparable to those observed during the COVID-19 pandemic.

How to Allocate Forward Contracts: The Case of Electricity Markets

European Economic Review (2012)M.A. de Frutos and N. Fabra

ENERGEIA simulated market outcomes in settings where dominant firms were allocated contracts-for-differences, assessing different contract allocation mechanisms.