GreEn-ER living lab: A green building with energy aware occupants

In the context of doubling energy use worldwide by 2030, with 80% remaining carbon energy, and in which buildings account for more than 40% of the total energy consumption, it is appropriate that buildings contribute “intelligently” to reduce consumption, contribute to the increase of renewable energy production and become a key node of the energy grid related to energy and transport of the eco-city. Moreover, these “smart buildings” will be in the near future aggregating a huge amount of data through numerous sensors. They will be connected to the neighbourhood, to the city and to the territory. Big data analytics and cloud computing will bring new services to inhabitant and citizen. We are presenting in this paper, the smart building “GreEn-ER”, which is a new building in the centre of the eco-city in Grenoble, France. It has been designed with many “green” ideas and is a “living lab” supporting research and teaching in the field of sustainability. This paper is focusing on the energy field and deals with electrical micro-grid interaction.

[1]  Mamun Bin Ibne Reaz,et al.  A Review of Smart Homes—Past, Present, and Future , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[2]  Wurtz Frederic,et al.  A New Co-simulation Architecture For Mixing Dynamic Building Simulation And Agent Oriented Approach For Users Behaviour Modelling , 2013, Building Simulation Conference Proceedings.

[3]  E. Finardi,et al.  Load Demand, Batteries, and Electric Vehicles Modelling to the Energy Management of Microgrids , 2016 .

[4]  Shengwei Wang,et al.  Design optimization and optimal control of grid-connected and standalone nearly/net zero energy buildings , 2015 .

[5]  Nursyarizal Mohd Nor,et al.  A review on optimized control systems for building energy and comfort management of smart sustainable buildings , 2014 .

[6]  J. Torriti.  A review of time use models of residential electricity demand , 2014 .

[7]  Lalit Mohan Saini,et al.  Performance analysis of smart metering for smart grid: An overview , 2015 .

[8]  Per Heiselberg,et al.  Zero Energy Building definition–a literature review , 2011 .

[9]  Frédéric Wurtz,et al.  TOWARD AUTONOMOUS PHOTOVOLTAIC BUILDING ENERGY MANAGEMENT: MODELING AND CONTROL OF ELECTROCHEMICAL BATTERIES , 2013 .

[10]  M. A. Rafe Biswas,et al.  Regression analysis for prediction of residential energy consumption , 2015 .

[11]  Owais,et al.  HEMSs and enabled demand response in electricity market: An overview , 2015 .

[12]  Audrey Le Mounier,et al.  Determination of relevant model structures for self-learning energy management system , 2014 .

[13]  F. Wurtz,et al.  Optimal sizing of a complex energy system integrating management strategies for a grid-connected building , 2015 .