PhD & Masters Students

Olivier Neu

Modulation of building loads for supply-demand optimisation for a flexible distributed electricity grid

Biography:  Olivier graduated from ESIL Engineering School - Université de la Méditerranée (Marseille, France) in 2007 with a BSc/MSc in Materials Engineering.  After more than three years work in the automotive industry in France and in Italy, he graduated from University College Dublin (UCD) in 2011 with an ME in Energy Systems Engineering. His ME research project was about modelling the LUAS Dublin tram in order to assess and improve the energy efficiency of its HVAC system (“Research on energy efficient transport – the LUAS tram case study”, in collaboration with Veolia – Transdev).  He commenced his PhD in UCD in October 2011, within the Electricity Research Centre (ERC). His research interests include building modelling, energy efficiency, thermal comfort, human behaviour, smart metering, and electrical demand flexibility through demand side management (DSM) and demand response (DR).

Olivier Neu is funded through the SEES Cluster, supported by Science Foundation Ireland under Grant Number SFI/09/SRC/E1780.

Project:  The project is about estimating the level of flexibility offered by residential building electrical loads through the implementation of some DSM and DR techniques, such as the shifting of electrical loads or the provision of operational reserve. The thermal behaviour of buildings and the comfort of their occupants are considered as the main operational constraints. A set of residential building archetypes is defined, each representative of a share of a national stock, and modelled in detail through a building performance simulation platform (EnergyPlus) in order to capture at an aggregated level, but with high space and time resolutions, the variations and diversity of both electrical loads and internal heat gains. The Irish national dwelling stock is considered as a case study. Time of use survey activity data is at the basis of the development of the building operational data input models, including the electrical equipment use, domestic hot water demand, operation of windows and the thermal comfort of occupants, thus capturing human behaviour. Different scenarios for the electrification of space and water heating systems are considered and a methodology is developed for the assessment of buildings electrical load shifting potential constrained by thermal comfort.


Utilising time of use surveys to predict water demand profiles of residential building stocks: Irish case study for domestic hot water

Olivier Neu, Simeon Oxizidis, Damian Flynn, and Donal Finn,
Conference Paper Brighton, UK, 11th Sep. 2014 published on 09/09/2014

Natural ventilation in residential building archetypes: a stochastic approach based on occupant behaviour and thermal comfort

Olivier Neu, Valentin Evon, Simeon Oxizidis, Damian Flynn and Donal Finn,
Conference Paper Ottawa, Canada, 10th May 2014 published on 08/05/2014

Developing building archetypes for electrical load shifting assessment: Analysis of Irish residential stock

Olivier Neu, Brónagh Sherlock, Simeon Oxizidis, Damian Flynn and Donal Finn,
Conference Paper Dublin, Ireland, 3rd Apr. 2014 published on 03/04/2014

High Resolution Space Time Data: Methodology for Residential Building Simulation Modelling

Olivier Neu, Simeon Oxizidis, Damian Flynn, Fabiano Pallonetto, and Donal Finn,
Conference Paper Chambéry, France, 25th Aug. 2013 published on 28/08/2013

Demand Response Optimisation of All-Electric Residential Buildings in a Dynamic Grid Environment: Irish Case Study

Fabiano Pallonetto, Simos Oxizidis, Roisin Duignan, Olivier Neu, Donal Finn,
Conference Paper Chambéry, 25-28 August 2013 published on 25/08/2013