Efficient design incorporating fondamental improvements for control and integrated optimisation
Project leader: Nicolas Morel
Collaborator: Antoine Guillemin, Simone Molteni
Partners: Conphoebus, Catania (I), coordinator of the project; CSEM, Neuchâtel (CH); Senamion Automazione, Como (I); SGS-Thomson, Catania (I); Technical University of Vienna (A); TNO, Delft (NL); VTT, Helsinki (Fin)
Duration and funding: 1998-2001, Joule-EU/OFES (Federal Office of Education and Science, Switzerland)
Summary
Integrated predictive and adaptive controller for heating, cooling, ventilation, blinds and artificial lighting. The control algorithms have been developed by the various partners of the project, including three aspects: heating and cooling, ventilation, lighting (artificial lighting and blinds). The control algorithms are integrated into a multi-functional control module implemented with the Matlab software. They include the adaptation to external conditions (weather data, building and technical equipment characteristics), and to user wishes (in a first draft version).
Algorithms used
Fuzzy logic, artificial neural networks, genetic algorithms
Work carried out
control algorithm development, simulation study, comparative measurements on two rooms of the LESO building (using a LonWorks network)
Results
The experimental tests carried on at LESO have shown a global energy consumption reduction of around 20 % when compared to a conventional controller for the heating (and manual control for the blinds and artificial lighting), while providing a similar or better comfort level. The user’s satisfaction has been recorded using a questionnaire. Final report.
Publications