Suchergebnisse

8 pages ; National audience ; The improvement of the energetic behavior of buildings has turned into a major issue due to the high level of energy consumption. One of the main objectives of the current French legislation, thanks to the definition of a global performance indicator (expressed in kWh/m2/yr), is to reduce the total energy consumption in buildings. In this context, the goal of this work is to develop tools for reducing the use of fossil energy while improving the use of renewable energies. First, the building is represented as a dynamical system and a data acquisition system is developed, which allows the measurement of environmental and energetic parameters, so as to describe the behavior of the building interacting with its direct environment. These measurements will be used by a fuzzy controller whose ability to control and optimize the energetic consumption will be illustrated through the simulation of the temperature control in University's offices.

7 pages ; International audience ; In France, 25% of greenhouse effect gases (GEG) emissions and 46% of global energy consumption are due to buildings. Based on legal documentation such as "Réglementation Thermique 2005" (RT2005) and "Diagnostic de Performance Energétique" (DPE), objectives of the French government focus on reducing the consumption of fossil energy in buildings while preserving comfort and functionality. In this sense, reducing wasting and improving energy management is crucial. Moreover, renewable energy sources need to be promoted to reach these objectives. The aim of the present work is proposing a control strategy for optimizing the multisource energy management in a building room (an office). Two energy sources are available: a renewable energy source, used for main heating, and a fossil energy source, used for additional heating. The work consists of two parts: Part 1: developing a thermal and dynamic model of the 10m long and north-south orientation room where several sensors have been installed (temperature, humidity, pressure.). Total heat power is 1000W: 700W for the main heating source and 300W for the additional one. Part 2: many control strategies such as PID, MPC (Model Predictive Control) or fuzzy control have already been tested with the above-mentioned model for regulating the indoor temperature of the room. They provided good performance for reducing the fossil energy consumption. However, and for trying to improve the obtained results, part 2 of the present work is focused on developing a fuzzy-PID controller.

7 pages ; International audience ; In France, 25% of greenhouse effect gases (GEG) emissions and 46% of global energy consumption are due to buildings. Based on legal documentation such as "Réglementation Thermique 2005" (RT2005) and "Diagnostic de Performance Energétique" (DPE), objectives of the French government focus on reducing the consumption of fossil energy in buildings while preserving comfort and functionality. In this sense, reducing wasting and improving energy management is crucial. Moreover, renewable energy sources need to be promoted to reach these objectives. The aim of the present work is proposing a control strategy for optimizing the multisource energy management in a building room (an office). Two energy sources are available: a renewable energy source, used for main heating, and a fossil energy source, used for additional heating. The work consists of two parts: Part 1: developing a thermal and dynamic model of the 10m long and north-south orientation room where several sensors have been installed (temperature, humidity, pressure.). Total heat power is 1000W: 700W for the main heating source and 300W for the additional one. Part 2: many control strategies such as PID, MPC (Model Predictive Control) or fuzzy control have already been tested with the above-mentioned model for regulating the indoor temperature of the room. They provided good performance for reducing the fossil energy consumption. However, and for trying to improve the obtained results, part 2 of the present work is focused on developing a fuzzy-PID controller.

8 pages ; National audience ; The improvement of the energetic behavior of buildings has turned into a major issue due to the high level of energy consumption. One of the main objectives of the current French legislation, thanks to the definition of a global performance indicator (expressed in kWh/m2/yr), is to reduce the total energy consumption in buildings. In this context, the goal of this work is to develop tools for reducing the use of fossil energy while improving the use of renewable energies. First, the building is represented as a dynamical system and a data acquisition system is developed, which allows the measurement of environmental and energetic parameters, so as to describe the behavior of the building interacting with its direct environment. These measurements will be used by a fuzzy controller whose ability to control and optimize the energetic consumption will be illustrated through the simulation of the temperature control in University's offices.