Gaming halls are highly energy-intensive facilities, primarily due to the continuous operation of electronic gaming machines such as slot machines and automated roulettes. In addition to the direct electricity consumption required for their operation, a substantial thermal load is introduced into the indoor environment, necessitating significant energy expenditure for cooling. To gain a comprehensive understanding of the building’s energy dynamics, ancillary systems—such as security infrastructure, lighting, and hospitality services—must also be taken into account.
This thesis presents the development of a simulation model implemented in the MATLAB environment, utilizing operational data from a casino management system to characterize temporal patterns of gaming machine activity. By integrating spatial layout data and state-dependent power consumption profiles, the model enables an estimation of internal heat gains and cooling demands throughout a typical operational day. The thermal behaviour of the space is modelled using a simplified resistor-capacitor (RC) approach, allowing for dynamic thermal analysis under varying occupancy and machine usage conditions. The proposed model serves as a decision-support tool for assessing energy performance and optimizing the spatial configuration of gaming devices with respect to thermal comfort and energy efficiency.
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