ANSI SCTE 245 pdf free download
ANSI SCTE 245 pdf free download.Use Cases for Adaptive Power Using APSIS.
6.1. Measurement As Lord Kelvin stated, “If you cannot measure it, you cannot improve it.” Measurement of energy usage is a fundamental use case. 6.1.1. Sufficient Energy Availability and Quality There exits sufficient energy supply, with acceptable quality such that no services are being impacted due to energy reasons. Such measurements provide a baseline for normal system operations and may be incorporated into calculations of approximate energy usage across the organization, i.e. annual greenhouse gas (GHG) emissions. 6.1.2. Insufficient Energy Availability and Quality In cases where power becomes wholly unavailable, e.g. grid power outage, or power quality is degraded to such degree to impact some aspect of service delivery, a measurement system may be used to detect and potentially aid response to such conditions. Information about power availability and quality may also be valuable to external parties, such as utilities, regulators, and researchers. 6.2. Adaptation Adaptation refers to active optimization to improve energy efficiency – it is the equivalent of turning off lights in your house when they re not needed. An adaptive energy system optimizes energy usage in response to changing conditions. Resources that are not necessary to delivery service at a point in time are put in sleep mode or low power state. It is imperative that an adaptive system be sophisticated enough to manage energy usage without impacting the customer experience or other critical aspects of service delivery.6.2.1. Service Demand Adaptation While systems are generally designed to handle highest anticipated peak service demand, actual usage is often well below peak and offers opportunities to enable sleep mode in unneeded resources. A typical scenario is the diurnal usage of both video and data services, in which there is a significant trough in the service demand curve during the late night and early morning hours. Other seasonal, local, and event driven (e.g. Super Bowl) fluctuations occur in service demand that may lend themselves to active adaptation and increased energy efficiency.
6.2.2. Active Service Routing Reactive re-routing may be used to configure service flows to respond to degraded power quality or loss of power. An extreme example might be to terminate service flows and power through equipment upstream of a network segment that is temporarily ofline due to power outage. Proactive routing might prioritize certain resources or service flows such that service delivery is ensured even during times of power degradation or optimization. 6.2.3. Threshold Management A system may define energy usage thresholds in selected network segments or its resources to help prioritize service delivery. Where predetermined energy usage thresholds are exceeded in network segments, the system may respond by actively routing services. Conversely, energy thresholds may be maintained in certain resources despite reductions in power quality (by re-routing other services or using alternative power sources), or despite opportunities to optimize energy usage. 6.3. Demand Response A system may respond to fluctuations in power supply and pricing, possibly indicated by signals provided by a utility or broker company. 6.3.1. Peak Shaving Power costs vary periodically depending on system demand and availability of generated power. System operators may pay time-of-use rates in daily and seasonal categories. W here possible, energy usage may be attenuated at times of high energy costs.ANSI SCTE 245 pdf download.
