An Experimental Study of Energy Efficient VRV
System using Genetic Based Fuzzy Logic Controller

• The combined variable refrigerant volume (VRV) and the variable air volume (VAV) multi-zone air conditioning systems were basically designed to achieve the thermal comfort and indoor air quality in buildings without sacrificing the energy efficiency for a year-round building HVAC&R application.

• Extraordinary features :
  • Application of intelligent fuzzy controller and genetic optimization helped the system to achieve improved energy savings potential without sacrificing the thermal comfort and IAQ requirements in building.
  • Application of advanced control methodologies in design ensured the system to maintain the indoor design conditions of 24°C, 50-70% RH and supply air temperature in the range of 12°C to 17°C for varying thermal load conditions.
  • The system design helped to acquire better indoor air quality in indoor environments by maintaining the CO2 contaminant concentration well below the maximum permissible limit of 1200 ppm as recommended by the ASHRAE Standard 62.1.
  • The application of energy conservative techniques and advanced intelligent control methodologies helped the system to achieve improved energy savings potential.
  • Energy efficiency of the system. Design of advanced intelligent fuzzy logic controller to achieve thermal comfort, IAQ and energy savings.
  • Optimization of the system using genetic algorithm approach for improved energy efficiency.
  • The indoor design and supply air conditions were precisely maintained by the present system while compared to the conventional system.
  • The ventilation and IAQ requirements were effectively achieved by the system than the conventional system.
  • The use of intelligent fuzzy logic controller overcome the inherent non linearity and time varying characteristics possessed by the conventional PID controllers.