Energy savings by fuzzy base control of occupancy concentration in institutional buildings

As a part of global efforts to minimize reliance of fossil fuel and in order to minimize greenhouse gas emissions, smart buildings become a part of the solution as it is able to utilize real life events such as daylight, the usage of ambient air and it also is able to perform a head count and then adjust accordingly the heating ventilation and air conditioning HVAC system and the lighting system as well. Consequently this paper study and analyze the effect of building occupancy concentration on total electric demand. The case study was performed at Building 19 of Rockhampton campus of Central Queensland University using EnergyPlus simulation engine

The integration of day light with advance fuzzy based controllers for institutional buildings in the region of Central Queensland, Australia

Smart buildings lately have gained momentum due to its ability to drive, manage and control energy conservation measures. Fuzzy based controllers in Building Management Systems (BEMS) can use the latest and the most innovative control strategies in order to achieve a comfortable life style while savings energy and reducing greenhouse gas emissions. This system uses real life events as a point of control. Those real life events may include day-light usage (natural light), occupancy profile, passive cooling techniques and the usage of ambient atmosphere based on its ambient temperature and humidity. This paper develops a BMS using advanced fuzzy based controllers with integration of day light. This control strategy is based on quantifying the outside and the inside illuminance and allowing an add-on controller to perform a photometric calculation and comparison to decide rooms openings (windows). The paper also analyses energy savings and recommend suitable markets for this control strategy either during the design stage of a building, or after the building construction or retrofitting

Design and development of advanced fuzzy logic controllers in smart buildings for institutional buildings in subtropical Queensland

© 2015 Elsevier Ltd.Building management system (BMS) has the ability to monitor and control buildings' mechanical and electrical equipment namely heating, ventilating and air conditioning (HVAC), lighting, power, fire and security systems. BMS can also provide indoor thermal comfort within commercial buildings including industrial and institutional buildings and able to reduce energy consumption. However most of HVAC systems are controlled by using conventional controller whose functions are based on ON/OFF controller and Proportional-Integral-Derivative (PID) controllers. These controllers are not the ultimate solution to save energy because the operations of HVAC systems are nonlinear. Thus, the implementation of fuzzy logic controllers within smart buildings will be more efficient which consequently will save more energy and money. This paper reviews, investigates and evaluates the use of fuzzy logic controller in HVAC systems and light controllers for smart buildings in subtropical Australia as well as highlights the role of technology in saving energy, and its potential. Additionally, it highlights the recent developments in BMS controllers including its conceptual basis, capabilities and limitations