Probabilistic HVAC turning On/Off events

Based on the authors’ previous works, this paper describes a new methodology that uses a bottom-up approach for accurately calculating the time series utility loads (e.g., energy, power, city water, hot water, etc.) for multi-dwelling systems, including residential buildings, residential block areas, and even the entire city. This calculation considers the behavioral variations of the inhabitants of the dwellings.

This paper describes a new methodology in calculating accurately the time series utility loads (energy, power, city water, hot water, etc.) in a dwelling. This calculation takes into account the behavioral variations of the dwelling inhabitants. The proposed method contains a procedure for cooling load calculations based on a series of Monte Carlo simulations where the HVAC on/off state and the indoor heat generation schedules are varied, time-step by time-step.