Objectives of the project

The aim of the GENESYS project is to develop optimum control strategies for HVAC systems, based on multicriteria analysis and to develop systematic tuning strategies for these controllers. Two main innovations will be implemented:

• The use of rule-based controllers (fuzzy logic controllers) incorporating criteria selected among the followings: energy consumptions, occupants thermal comfort, indoor air quality, peak load electrical demand, network management and balance, equipments stability and maintenance.
• The development and comparison of smart setting and tuning techniques for these controllers using optimisation and learning procedures (genetic algorithms and neural networks) on the basis of evaluations performed through so called "fitness functions" incorporating the criteria cited above.

Partners involved in GENESYS

• Ecole Nationale des Travaux Publics de l'Etat (FRANCE) - CNRS

DGCB - LASH - URA CNRS 1652

• University of Athens (GREECE) - UoA

Laboratory of Meteorology. Department of Applied Physics Gr - BES
 
• University of Granada (SPAIN) - UoG

Department of Computer Science and Artificial Intelligence, DECSAI
 
• Amber S.A. (GREECE) - Amb

 
• Scandiaconsult (SWEDEN) - SCC

 

The project will be performed with seven tasks. Task 1 will consist in selecting the most relevant equipments to work on with regard to energy saving and marketing potential, to control complexity Control parameters will also be selected in this task. Task 2 will consist in developing modelization tools required for developing smart tuning strategies. Task 3 will consist in constructing fuzzy controllers and selecting appropriate smart tuning techniques. These smart tuning strategies will be developed and simulated in task 4. Resulting from these developments hardware and software prototypes will be developed in task 5.
Fuzzy control and smart tuning strategies will then be experimentally tested in task 6. All the results will finally be analysed in the final task. The marketing potential will be particularly studied as well as possible extensions to other equipments and buildings.
 

Expected achievements

The final outcomes will be:

• A set of fuzzy controllers prototypes and their application software for implementation of smart tuning control strategies. The systems will then be ready for commercial development provided that additional real scale testing is performed and software interface is improved.
• A handbook on fuzzy control applied to HVAC systems.
• A set of reports for each task developed in this project.
• Databases on equipments and building typology and experimental data. A WWW server (http://genesys.entpe.fr) will be maintained in order to present the project, its objectives and its main results.