This work uses 194 outdoor particle size distributions (PSDs) from the literature to estimate single-pass heating, ventilating, and air-conditioning (HVAC) filter removal efficiencies for PM2.5 and ultrafine particles (UFPs: <100 nm) of outdoor origin. The PSDs were first fitted to tri-modal lognormal distributions and then mapped to size-resolved particle removal efficiency of a wide range of ...

Conventional HVAC control systems are usually incognizant of the physical structures and materials of buildings. These systems merely follow pre-set HVAC control logic based on abstract building thermal response models, which are rough approximations to true physical models, ignoring dynamic spatial variations in built environments. To enable more accurate and responsive HVAC control, this pape...

This report describes the riso project, a system for uniied prediction and diagnosis in HVAC systems based on a class of probabilistic models called belief networks. Progress has been made in both theoretical and practical problems: a scheme for the representation of belief networks with heterogeneous conditional distributions has been devised, an algorithm for inference in a polytree network w...

Model based predictive control (MPC) is increasingly being seen as an attractive approach in controlling building HVAC systems. One advantage of the MPC approach is the ability to integrate weather forecast, occupancy information and utility price variations in determining the optimal HVAC operation. However, application to largescale building HVAC systems is limited by the large number of cont...

The small medium large system (SMLsystem) is a house built at the Universidad CEU Cardenal Herrera (CEU-UCH) for participation in the Solar Decathlon 2013 competition. Several technologies have been integrated to reduce power consumption. One of these is a forecasting system based on artificial neural networks (ANNs), which is able to predict indoor temperature in the near future using captured...

Improving the energy-efficiency of heating, ventilation, and air-conditioning (HVAC) systems has the potential to realize large economic and societal benefits. This paper concerns the system identification of a hybrid system model of a building-wide HVAC system and its subsequent control using a hybrid system formulation of learning-based model predictive control (LBMPC). Here, the learning ref...

The interconnection of the power systems of the European Community (ENTSO-e) and of the Commonwealth of Independent States (IPS/UPS) arise several challenges for which regards the operation and the emergency control of a very geographically extended interconnected power system. Recent international projects on the possibility of interconnection considered the option of synchronous interconnecti...

In this paper, a HVAC (heating, ventilating and air-conditioning) system has two different zones was designed and fan motor speed to minimize energy consumption of the HVAC system was controlled by a conventional (proportional–integral-derivative) PID controller. The desired temperatures were realized by variable flow-rate by considering the ambient temperature for each zone. The control algori...

Heating, Ventilation, and Air Conditioning (HVAC) systems account for a significant portion of power consumption in commercial buildings all over the world [1, 4, 5, 6]. Since HVAC systems are designed for centralized cooling supplies, power consumption in each room is inestimable. Therefore, administrators are motivated to apportion the electricity payment for actual users. The even apportionm...