scispace - formally typeset
G

Gabrielle Masy

Researcher at École Normale Supérieure

Publications -  13
Citations -  179

Gabrielle Masy is an academic researcher from École Normale Supérieure. The author has contributed to research in topics: Stand-alone power system & Smart grid. The author has an hindex of 5, co-authored 12 publications receiving 151 citations.

Papers
More filters
Journal ArticleDOI

Smart grid energy flexible buildings through the use of heat pumps and building thermal mass as energy storage in the Belgian context

TL;DR: In this paper, the authors provide typologies of smart grid energy ready buildings within the context of the Belgian residential building stock and the Belgian day-ahead electricity market and compare five heating control strategies in terms of thermal comfort, energy use, cost, and flexibility.

Building and HVAC system simulation with the help of an engineering equation solver

TL;DR: In this article, a simplified building-HVAC system model is presented, which includes simplified models of building zone and of HVAC equipment, and the application of the presented model to the audit of commercial buildings is also discussed.

Smart Grid Energy Flexible Buildings through the use of Heat Pumps in the Belgian context

TL;DR: In this paper, a typical new residential building is considered, equipped with an air-to-water heat pump that supplies either radiators or a floor heating system, and five heating control strategies are compared in terms of thermal comfort, energy use and flexibility.
Journal ArticleDOI

Lessons Learned from Heat Balance Analysis for Holzkirchen Twin Houses Experiment

TL;DR: In this paper, two identical houses were submitted to a side-by-side experiment, one with blinds up, another with blinding down, to obtain and apply a high quality experimental dataset for model validation of full scale buildings.

Decentralized mechanical ventilation with heat recovery

TL;DR: In this article, a new local ventilation device is designed in such a way to procure ventilation "on demand" in each room, with a maximum of effectiveness and a minimum of energy waste.