ANSI SCTE 245-2018 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 usageis 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 dueto 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.lnsufficient Energy Availability and Quality
In cases where power becomes wholly unavailable, e.g.grid power outage, or power quality is degradedto such degree to impact some aspect of service delivery, a measurement system may be used to detectand potentially aid response to such conditions. Information about power availability and quality may alsobe 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 offlights in your house when they’re not needed.
An adaptive energy system optimizes energy usage in response to changing conditions. Resources that arenot 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 impactingthe 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 isoften well below peak and offers opportunities to enable sleep mode in unneeded resources. A typicalscenario is the diurnal usage of both video and data services, in which there is a significant trough in theservice demand curve during the late night and early morning hours. Other seasonal, local, and eventdriven (e.g.Super Bowl) fluctuations occur in service demand that may lend themselves to activeadaptation and increased energy efficiency.
As an example, several manufacturers have demonstrated that a converged cable access platform(CCAP)device can achieve significant overall power reductions by reconfiguring service flows and poweringdown components during periods in the day when service demand is light.
6.2.2. Active Service Routing
Reactive re-routing may be used to configure service flows to respond to degraded power quality or lossof 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 mightprioritize certain resources or service flows such that service delivery is ensured even during times ofpower degradation or optimization.
6.2.3. Threshold Management
A system may define energy usage thresholds in selected network segments or its resources to helpprioritize service delivery. Where predetermined energy usage thresholds are exceeded in networksegments, the system may respond by actively routing services. Conversely, energy thresholds may bemaintained in certain resources despite reductions in power quality (by re-routing other services or usingalternative 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 providedby a utility or broker company.
6.3.1.Peak Shaving
Power costs vary periodically depending on system demand and availability of generated power. Systemoperators may pay time-of-use rates in daily and seasonal categories. Where possible, energy usage maybe attenuated at times of high energy costs.
6.3.2. Load Shedding
During periods of high demand for power across a utility footprint, a system operator may attenuate
energy usage to lower power costs and help the utility avoid power degradation such as rolling blackoutsor brownouts.
6.3.3.Automated Demand Response
An energy supplier may send an automated request to a system operator to indicate a power quality orpricing event.A system operator may then implement an adaption to attenuate energy usage in an affectednetwork segment.
6.4. Energy supply
There are a number of conditions that affect power quality. A system that can detect, measure, and reactto these scenarios can potentially lower power costs, extend device lifetimes, and improve service quality.ANSI SCTE 245 pdf download.