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.
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.