Ph. D. Project
Mitigating Home Carbon Emission in designing a Smart Storage Driver System
2019/10/10 - 2023/08/31
Private homes are increasingly fitted with PhotoVoltaics (PV) for increasing the renewable energy use. Typical issues of this type of
installation are : (1) the production of green energy is not necessary in line with the inhabitants' energy consumption (2) a peak of
energy demand on smart grid increases the carbon emission. Mitigating carbon emission in using efficiently PV is the main objective of
this research, which is part of the INTERREG NW Europe RED WOLF project (H2020 programme). This project is led led by Leeds Beckett
University and involves 21 partners across Europe, including University of Lorraine. The RED WOLF project aims at installing PV solar
panels and home batteries across UK, France, Netherlands, and Ireland, with the overall goal to design a Smart Storage Driver (SDS)
system capables at storing solar energy produced at home, and using it when a peak of energy demand is detected on smart grid. To
this end, the research is divided into three steps: (i) first, it is necessary to understand how inhabitants behave in order to obtain an
energy consumption pattern for each home. This pattern will be used to size the batteries and to smartly manage the switching
between the use of local and smart grid energy. Specific instrumentation will be deployed to achieve this step ; (ii) second, it is
necessary to design a SDS system aiming at analysing data coming from multiple sources (e.g., smart grid, weather, indoor temperature,
inhabitant behaviour, battery charge level) with one major target : the limitation of carbon emission ; (iii) finally, a global analysis of
data management (Cloud and Fog) and network management (SDN, IoT) must be carried out in order to find the best trade off between
Quality of Service offered for inhabitants and environmental impact.
Smart Grid, Artificial Intelligence, Smart home, Internet of Things
Eco-Technic systems engineering