Ir. N. (Nina) Voulis

Profile

I am a PhD candidate in the group of Systems Engineering at Delft University of Technology. My main interest is the integration of renewable resources in urban power systems. I focus on data-driven modelling and simulation with an emphasis on real-world relevance and application. Previously I worked as a visiting researcher at Cornell University (New York, US) on renewable energy. I obtained my Master’s degree in Environmental Engineering in 2012 from Ghent University in Belgium.

Research

I seek to build understanding of the impact of real-world urban demand on renewable resource integration in urban power systems. Currently, urban demand is mainly represented through residential demand. However, real urban areas are a mix of residential and service sector consumers. Moreover, these consumers are not homogeneously distributed in urban areas. My goal is to understand how urban demand heterogeneity impacts the local integration of renewables, and how we can support that integration.

  • Nina Voulis, Martijn Warnier and Frances M. T. Brazier, Impact of Service Sector Loads on Renewable Resource Integration (2017), in: Applied Energy, 205C(1311-1326)
  • Nina Voulis, Martijn Warnier and Frances M. T. Brazier, Storage Coordination and Peak-Shaving Operation in Urban Areas with High Renewable Penetration, in: Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, pages 531-536, IEEE, 2017
  • Nina Voulis, Martijn Warnier and Frances M. T. Brazier, The Case for Coordinated Energy Storage in Future Distribution Grids, in: 24th International Conference & Exhibition on Electricity Distribution (CIRED), 2017

Teaching assistant for Agent Based Modeling (TB133a)

The NWO URSES project Stascade: Stable and scalable decentralized power balancing systems using adaptive clustering.

Nina Voulis

PhD candidate

Department:
Multi-Actor Systems

Group:
System Engineering

Research interests:
Renewable energy
Urban power systems
Urban demand modelling
Data-driven research