Tool

Pleiades STD Comfie

This dynamic thermal simulation model of buildings anticipates energy consumption and the risk of discomfort in all seasons. Thanks to the Amapola module, this software program makes it possible to identify the least expensive solutions, anticipate uses and optimise the reliability of forecasts.

Comfie is Pleiades’ dynamic thermal simulation (DTS) calculation engine. At each time step, the algorithm determines the heating, cooling, humidity and temperature needs in each area of the building. The resulting thermal balance includes exchanges between zones. Thermal inertia is taken into account at the level of each wall. This calculation engine, from the CES (Centre for Energy Efficiency of Systems) at MINES ParisTech, has been validated experimentally (Incas platform, Passys cell) and by inter-software comparison (Bestest from AIE).

The DTS Comfie module also calculates the energy consumption of the equipment (Dynamic Energy Simulation or DES) at each time step with the possibility of recovering heat losses, evaluates several comfort indicators and has a utility to manipulate and generate weather data files.

Comfie is linked to Amapola, which makes it possible to identify the least expensive solutions, anticipate uses and optimise the reliability of forecasts. It is therefore possible to assess energy consumption within the framework of the energy efficiency guarantee with a risk of an overrun of less than 5%. Thanks to data from smart sensors, the software program takes occupants and their behaviour into account.

 

Researchers
Samih Akkari
PhD Student
MINES MarisTech
CES
Mija Frossard
PhD Student
MINES ParisTech
CES
Long Pei
PhD Student
MINES ParisTech
CES
Bruno Peuportier
Research Director
MINES ParisTech
CES
Patrick Schalbart
Research Associate
MINES ParisTech
CES
Lucas Striegel
Research Engineer
Mines ParisTech
CES
Aurore Wurtz
PhD Student
MINES ParisTech
CES
Projects
A link between a microclimate model and a thermoaeraulic simulation tool was created to better assess the cooling potential of buildings by natural ventilation.
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The coupling between the PowerRoad® positive-energy road simulation model and the Pleiades Comfie tool will make it possible to more accurately predict the operation of the PowerRoad system coupled to a building.
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Data from smart sensors makes it possible to better understand the behaviours of building occupants and improve the reliability of energy simulation.
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A comparison between the existing methods for measuring in situ the determinants of the energy efficiency of buildings has identified their advantages and the limitations of the different approaches.
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This thesis focuses on the development of the life-cycle assessment of buildings in the Chinese context. It also made it possible to supplement the existing dynamic energy simulation tool by integrating a seasonal
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An optimisation procedure will be used to complete the environmental assessment of a block of buildings while reducing economic costs and the overall impact on the environment.
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The eco-design of zero-energy buildings involves the identification of optimal solutions, in reasonable calculation times, resulting from the analysis of several performance criteria, more influential parameters and
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A comparison between the simulation results and the measurements will supplement the previous work concerning the validation of the thermo-aeraulic model, which will then be applied to the study of predictive control
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Practitioner group
Solar panels integrated in a green urban area
Dynamic thermal simulation and life-cycle assessment are decision support tools that comprehensively assess the environmental performance of a building or neighbourhood project and guide its design in order to reduce the
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Office building with solar panels
Buildings can be designed and operated to radically improve their energy efficiency and reduce their environmental impact.
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