ANSI SCTE 12-2018 pdf free download – Use Cases for Adaptive Power Using APSIS.
6.4.1.1. Brownout Suppliers of energy are experiencing increasing loads and intentionally drop the voltage in the electrical power supply system to help with load reduction and prevent more serious and critical energy related events.
6.4.1.2. Blackout A short or long-term loss of electrical power to a given area which could be due to issues in the energy supply chain or intentional rolling blackouts which utilities use to attempt to avoid catastrophic total power system outages.
6.4.1.3. Total Outage A situation where an entire power system is down. In this scenario, all emergency energy service plans will be implemented, and the pre-determined energy hierarchy of equipment and services will be used to minimize the overall customer implication and provide the maximum up time for critical and prioritized systems and services.
6.4.2. Energy Source Telecommunication systems typically incorporate backup power systems that temporarily continue to provide service in the event of a blackout or total outage. Systems might be further augmented to incorporate additional power generation capability. In addition to disaster recovery, such resources may be used to reduce overall power costs through shedding and peak shaving (see section 6.3), or improve power quality. Scenarios may include strategic switching between utility and local power sources, or routing service to favor utility feeds with optimal pricing and quality.
6.4.3. Optimized Disaster Recovery Carefully controlling the order and timing while powering up equipment after an outage can help contain costs and decrease recovery time. For example, ensure that upstream systems are online before applying power to downstream systems.
6.4.4. National Security The ability to measure and predict energy usage can aid in identifying abnormal conditions, which may include attacks on the energy grid. In times of incident, an energy management system may be instrumental in providing a ‘keep-alive’ service in which minimal communications are maintained for an indefinite period of time, using both alternate energy sources and extreme optimizations based on active service routing. Different levels of service may be provided to different end users, such as the general public or government users.
6.5. Energy Services There are several services that system operators might provide to end users.
6.5.1. Business Continuity Energy management and control systems might be extended to not only provide business continuity to system operators in the event of energy related issues, but to end users, in the form of providing power from auxiliary sources.
6.5.2. End User Energy Services A system operator may measure, manage, and report on energy usage within a residential or commercial premise.
6.6. Internet of Things (IoT) In addition to the services identified in section 6.5, energy management solutions may extend from the cable system to external systems, such as smart city controllers, to provide additional benefits, including favorable energy pricing based on demand response. This area is expected to see high growth over the next several years. Technology will both contribute to the power load, as well as help manage it through new sensors, monitoring tools and devices not yet commercialized.
6.7. Street Cabinets Cabinets are a common feature of networks that include a power source and some collection of internal components. We treat them as a separate topic to address specific opportunities for:
6.7.1. Temperature Management This extends measurement and management functions identified previously to include non-cable specific resources such as temperature sensors and cooling systems.
6.7.2. On-site generation To manage costs and power quality, existing backup systems may be augmented to include solar, fuel cell, or other distributed generation system, storage, and micro-grid integration.
6.8. Network Design The cable network continually evolves, and some operators are quickly adopting new models such as remote PHY to improve services. Predictive models of energy usage can help designers avoid overloading facilities, capture favorable pricing and otherwise help lower the cost of ownership.ANSI SCTE 12 pdf download.