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Data-Driven Supervisory Control of Indirect Adiabatic Cooling Systems

The ICT industry is playing a leading role in the world economic development and it is growing rapidly and constantly. Beside this, it has become more concerned with energy consumption and the associated environmental effects. Since about half of the total energy consumption in the ICT industry is devoted to cooling equipment in data centers, there is a great opportunity to modify cooling systems and their control to improve the energy efficiency. In this way, the operating costs decrease and the environmental impact diminishes. Specifically, in this paper, a model-free control approach is used for the efficient management of an indirect adiabatic cooling system, which utilizes fresh air. Data center cooling needs can be met with various combinations of modes of operation that can be set by the control system to maximize the adiabatic cooling system overall operating efficiency. Here, the best system operative conditions are determined by means of an Extremum Seeking Control scheme, whose effectiveness and performance are evaluated by using of a Matlab-based computer room air conditioning simulation environment.