PhD presentation: Exploratory assessment of adaptive pathways toward renewable energy systems: A modelling framework facilitating decision making under deep uncertainty.

On Friday 29^th of March, Serafeim Michas, research associate at the Technoeconomics of Energy Systems laboratory (TEESlab) will present his doctoral dissertation entitled “Exploratory assessment of adaptive pathways toward renewable energy systems: A modelling framework facilitating decision making under deep uncertainty”. The presentation will take place online at 14:00 EEST.

The purpose of this doctoral dissertation is the development of a modelling framework that supports the exploratory assessment of adaptive policies and strategies towards the design of electricity systems based on renewables, which are resilient to contextual uncertainties. Τhe dissertation focuses on three major challenges during the shift towards energy systems that are abundant in renewable energy sources (RES): i. consumer engagement in the energy transition, ii. minimum waste of renewable energy, and iii. shielding the electricity system from external disruptions.

By applying the modelling framework to the case study of Greece’s energy transition, the dissertation explores policies for incentivising citizens to participate in the energy transition, identifies mixes of RES and storage minimising the cost of integrating renewable energy into the electricity mix and, assesses power generation mixes which disengage Greece’s electricity generation from natural gas. Overall, the suggested modelling framework improves existing simulation practices, by supporting the development of energy strategies and policies which are robust under uncertainty, facilitating that way policymakers’ short- and long-term energy planning.