The energy transition faces three challenges in the building sector: the environmental challenge, the energy challenge and the economic challenge. In order to resolve these issues, a combination of actions is required, including both energy production and consumption. Control strategies need to be implemented for optimum energy management within the building. In this way, better energy management will reduce environmental impact and costs. These strategies must include local renewable production and be applicable on a multi-building scale.

Objectives

The aim is to propose a method of optimal energy management applicable at multi-building level, with integration of renewable production and possible storage. Optimal management is applied in a predictive logic to take account of forecasting errors (weather and occupancy). Various applications are envisaged to test and validate the approach. The challenge will be to propose an operational method that is quick and easy to implement, while producing reliable results.

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The presentation of the project will show how the project partners define the concept of a zero-energy building, including aspects of comfort and environmental performance. The approach developed to reduce costs will then be described. And finally the results, in particular those concerning the case studies, will be discussed. The project also includes training and knowledge dissemination activities.

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Digital model of the project (Pleiades).Dynamic thermal simulation results (Pleiades Comfie), temperatures during heatwaves.Life-cycle assessment results (Pleiades Equer), contributions to global warming.

The research work carried out at the École des Ponts ParisTech aims to anticipate mobility practices and services in the Les Lumières Pleyel neighbourhood as well as their impact on the environment. A statistical approach based on analysis of the socio-economic profiles of the individuals who will live and work in the neighbourhood aims to achieve an initial rapid estimate of uses and activities. This approach is then fine-tuned by multi-agent modelling that is aimed at a much more precise estimation of mobility needs and the effects of the implementation of new mobility services. The environmental impacts of associated mobility practices are then assessed through the prism of life-cycle assessment. It is therefore possible to assess the relevance of development choices and to propose solutions that are tailored to local characteristics, in order to improve the environmental performance of a neighbourhood.

the MATSim multi-agent model used by the LVMT laboratory of École des Ponts ParisTech to simulate the mobility of the Île-de-France population.

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