Predictability of energy characteristics for cooling, ventilation and heating systems in sports facilities

• In this paper we analyze operational energy data of the cooling, ventilation and heating systems of the professional soccer stadium Commerzbank Arena in Frankfurt, Germany. We analyze data collected over a six month period in 2014 statistically and show that depending on the stadium's operational context consumption patterns vary largely among the different systems resulting in very different behaviors. The results provide insights into what drives the energy consumption for different systems of a large commercial sports facility: the static heating system is purely dependent on outside air temperature, ventilation exhibits a pronounced daily consumption pattern irrespective of the temperature and cooling is driven by a combination of event operation and air temperature. These insights will allow us to predict, plan and balance the energy demands of different subsystems more accurately, resulting in energetic improvements of the stadium operation in the form of load shedding while maintaining the systems' service levels.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Medieteknik (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Media and Communication Technology (hsv//eng)

Nyckelord

building services

cooling

energy consumption

facilities

heating

load shedding

sport

ventilation

Commerzbank arena

Frankfurt

Germany

air temperature

energy characteristic predictability

energy demand

soccer stadium

sports facility

static heating system

Buildings

Business

Context

Energy consumption

Heating

Ventilation

Context Awareness

Control Systems

Energy Management

Green Buildings

HVAC

Sports Stadium

Pervasive Mobile Computing

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