wdiff rfc7603v2.txt rfc7603.txt

Internet Engineering Task Force (IETF) B. Schoening
Request for Comments: 7603 Independent Consultant
Category: Standards Track M. Chandramouli
ISSN: 2070-1721 Cisco Systems, Inc.
B. Nordman
Lawrence Berkeley National Lab
July
August 2015

Energy Management (EMAN) Applicability Statement

Abstract

The objective of Energy Management (EMAN) is to provide an energy
management framework for networked devices. This document presents
the applicability of the EMAN information model in a variety of
scenarios with cases and target devices. These use cases are useful
for identifying requirements for the framework and MIBs. Further, we
describe the relationship of the EMAN framework to other relevant
energy monitoring standards and architectures.

Status of This Memo

This is an Internet Standards Track document.

This document is a product of the Internet Engineering Task Force
(IETF). It represents the consensus of the IETF community. It has
received public review and has been approved for publication by the
Internet Engineering Steering Group (IESG). Further information on
Internet Standards is available in Section 2 of RFC 5741.

Information about the current status of this document, any errata,
and how to provide feedback on it may be obtained at
http://www.rfc-editor.org/info/rfc7603.

This document is subject to BCP 78 and the IETF Trust's Legal
Provisions Relating to IETF Documents
(http://trustee.ietf.org/license-info) in effect on the date of
publication of this document. Please review these documents
carefully, as they describe your rights and restrictions with respect
to this document. Code Components extracted from this document must
include Simplified BSD License text as described in Section 4.e of
the Trust Legal Provisions and are provided without warranty as
described in the Simplified BSD License.

Table of Contents

1. Introduction ................................................. 3
1.1. Energy Management Overview ............................... 4
1.2. EMAN Document Overview ................................... 4
1.3. Energy Measurement ....................................... 5
1.4. Energy Management ........................................ 5
1.5. EMAN Framework Application ............................... 6
2. Scenarios and Target Devices ................................. 6
2.1. Network Infrastructure Energy Objects .................... 6
2.2. Devices Powered and Connected by a Network Device ........ 7
2.3. Devices Connected to a Network ........................... 8
2.4. Power Meters ............................................. 9
2.5. Mid-level Managers ...................................... 10
2.6. Non-residential Building System Gateways ................ 10
2.7. Home Energy Gateways .................................... 11
2.8. Data Center Devices ..................................... 12
2.9. Energy Storage Devices .................................. 13
2.10. Industrial Automation Networks ......................... 14
2.11. Printers ............................................... 14
2.12. Demand Response ........................................ 15
3. Use Case Patterns ........................................... 16
3.1. Metering ................................................ 16
3.2. Metering and Control .................................... 16
3.3. Power Supply, Metering and Control ...................... 16
3.4. Multiple Power Sources .................................. 16
4. Relationship of EMAN to Other Standards ..................... 17
4.1. Data Model and Reporting ................................ 17
4.1.1. IEC - CIM........................................ 17
4.1.2. DMTF............................................. 17
4.1.3. ODVA............................................. 19
4.1.4. Ecma SDC......................................... 19
4.1.5. PWG.............................................. 19
4.1.6. ASHRAE........................................... 20
4.1.7. ANSI/CEA......................................... 21
4.1.8. ZigBee........................................... 21
4.2. Measurement ............................................. 22
4.2.1. ANSI C12......................................... 22
4.2.2. IEC 62301........................................ 22
4.3. Other ................................................... 22
4.3.1. ISO.............................................. 22
4.3.2. Energy Star...................................... 23
4.3.3. Smart Grid....................................... 23
5. Limitations ................................................. 24
6. Security Considerations ..................................... 24
7. References .................................................. 24 25
7.1. Normative References .................................... 25
7.2. Informative References .................................. 25
Acknowledgements ............................................... 27
Authors' Addresses ............................................. 28

1. Introduction

The focus of the Energy Management (EMAN) framework is energy
monitoring and management of energy objects [RFC7326]. The scope of
devices considered are network equipment and their components, and
devices connected directly or indirectly to the network. The EMAN
framework enables monitoring of heterogeneous devices to report their
energy consumption and, if permissible, control. There are multiple
scenarios where this is desirable, particularly considering the
increased importance of limiting consumption of finite energy
resources and reducing operational expenses.

The EMAN framework [RFC7326] describes how energy information can be
retrieved from IP-enabled devices using Simple Network Management
Protocol (SNMP), specifically, Management Information Base (MIB)
modules for SNMP.

This document describes typical applications of the EMAN framework as
well as its opportunities and limitations. It also reviews other
standards that are similar in part to EMAN but address different
domains, describing how those other standards relate to the EMAN
framework.

The rest of the document is organized as follows. Section 2 contains
a list of use cases or network scenarios that EMAN addresses.
Section 3 contains an abstraction of the use case scenarios to
distinct patterns. Section 4 deals with other standards related and
applicable to EMAN.

1.1. Energy Management Overview

EMAN addresses the electrical energy consumed by devices connected to
a network. A first step to increase the energy efficiency in
networks and the devices attached to the network is to enable energy
objects to report their energy usage over time. The EMAN framework
addresses this problem with an information model for electrical
equipment: energy object identification, energy object context, power
measurement, and power characteristics.

The EMAN framework defines SNMP MIB modules based on the information
model. By implementing these SNMP MIB modules, an energy object can
report its energy consumption according to the information model.
Based on the information model, the MIB documents specify SNMP MIB
modules, but it is equally possible to use other mechanisms such as
YANG module, Network Conference Protocol (NETCONF), etc.

In that context, it is important to distinguish energy objects that
can only report their own energy usage from devices that can also
collect and aggregate energy usage of other energy objects.

1.2. EMAN Document Overview

The EMAN work consists of the following Standard Track and
Informational documents in the area of energy management.

Applicability Statement (this document)

Requirements [RFC6988]: This document presents requirements of
energy management and the scope of the devices considered.

Framework [RFC7326]: This document defines a framework for
providing energy management for devices within or connected to
communication networks and lists the definitions for the common
terms used in these documents.

Energy Object Context MIB [RFC7461]: This document defines a MIB
module that characterizes a device's identity, context, and
relationships to other entities.

Monitoring and Control MIB [RFC7460]: This document defines a MIB
module for monitoring the power and energy consumption of a
device.

The MIB module contains an optional module for metrics
associated with power characteristics.

Battery MIB [RFC7577]: This document defines a MIB module for
monitoring characteristics of an internal battery.

1.3. Energy Measurement

It is increasingly common for today's smart devices to measure and
report their own energy consumption. Intelligent power strips and
some Power over Ethernet (PoE) switches can meter consumption of
connected devices. However, when managed and reported through
proprietary means, this information is difficult to view at the
enterprise level.

The primary goal of the EMAN information model is to enable reporting
and management within a standard framework that is applicable to a
wide variety of end devices, meters, and proxies. This enables a
management system to know who's consuming what, when, and how by
leveraging existing networks across various equipment in a unified
and consistent manner.

Because energy objects may both consume energy and provide energy to
other devices, there are three types of energy measurement: energy
input to a device, energy supplied to other devices, and net
(resultant) energy consumed (the difference between energy input and
supplied).

1.4. Energy Management

The EMAN framework provides mechanisms for energy control in addition
to passive monitoring. There are many cases where active energy
control of devices is desirable, for example, during low device
utilization or peak electrical price periods.

Energy control can be as simple as controlling on/off states. In many
cases, however, energy control requires understanding the energy
object context. For instance, during non-business hours in a
commercial building, some phones must remain available in case of
emergency, and office cooling is not usually turned off completely,
but the comfort level is reduced.

Energy object control therefore requires flexibility and support for
different policies and mechanisms: from centralized management by an
energy management system to autonomous control by individual devices
and alignment with dynamic demand-response mechanisms.

The power states specified in the EMAN framework can be used in
demand-response scenarios. In response to time-of-day fluctuation of
energy costs or grid power shortages, network devices can respond and
reduce their energy consumption.

1.5. EMAN Framework Application

A Network Management System (NMS) is an entity that requests
information from compatible devices, typically using the SNMP
protocol. An NMS may implement many network management functions,
such as security or identity management. An NMS that deals
exclusively with energy is called an Energy Management System (EnMS).
It may be limited to monitoring energy use, or it may also implement
control functions. An EnMS collects energy information for devices
in the network.

Energy management can be implemented by extending existing SNMP
support with EMAN-specific MIBs. SNMP provides an industry-proven
and well-known mechanism to discover, secure, measure, and control
SNMP-enabled end devices. The EMAN framework provides an information
and data model to unify access to a large range of devices.

2. Scenarios and Target Devices

This section presents energy management scenarios that the EMAN
framework should solve. Each scenario lists target devices for which
the energy management framework can be applied, how the reported-on
devices are powered, and how the reporting or control is
accomplished. While there is some overlap between some of the use
cases, the use cases illustrate network scenarios that the EMAN
framework supports.

2.1. Network Infrastructure Energy Objects

This scenario covers the key use case of network devices and their
components. For a device aware of one or more components, our
information model supports monitoring and control at the component
level. Typically, the chassis draws power from one or more sources
and feeds its internal components. It is highly desirable to have
monitoring available for individual components, such as line cards,
processors, disk drives, and peripherals such as USB devices.

As an illustrative example, consider a switch with the following
grouping of subentities for which energy management could be useful.

o Physical view: chassis (or stack), line cards, and service
modules of the switch.

o Component view: CPU, Application-Specific Integrated Circuits
(ASICs), fans, power supply, ports (single port and port
groups), storage, and memory.

The ENTITY-MIB [RFC6933] provides a containment model for uniquely
identifying the physical subcomponents of network devices. The
containment information identifies whether one Energy Object belongs
to another Energy Object (e.g., a line-card Energy Object contained
in a chassis Energy Object). The mapping table,
entPhysicalContainsTable, has an index, entPhysicalChildIndex, and
the table, entPhysicalTable, has a MIB object,
entPhysicalContainedIn, that points to the containing entity.

The essential properties of this use case are:

o Target devices: network devices such as routers and switches,
as well as their components.

o How powered: typically by a Power Distribution Unit (PDU) on a
rack or from a wall outlet. The components of a device are
powered by the device chassis.

o Reporting: Direct power measurement can be performed at a
device level. Components can report their power consumption
directly, or the chassis/device can report on behalf of some
components.

2.2. Devices Powered and Connected by a Network Device

This scenario covers Power Sourcing Equipment (PSE) devices. A PSE
device (e.g., a PoE switch) provides power to a Powered Device (PD)
(e.g., a desktop phone) over a medium such as USB or Ethernet
[RFC3621]. For each port, the PSE can control the power supply
(switching it on and off) and usually meter actual power provided.
PDs obtain network connectivity as well as power over a single
connection so the PSE can determine which device is associated with
each port.

PoE ports on a switch are commonly connected to devices such as IP
phones, wireless access points, and IP cameras. The switch needs
power for its internal use and to supply power to PoE ports.
Monitoring the power consumption of the switch (supplying device) and
the power consumption of the PoE endpoints (consuming devices) is a
simple use case of this scenario.

This scenario illustrates the relationships between entities. The
PoE IP phone is powered by the switch. If there are many IP phones
connected to the same switch, the power consumption of all the IP
phones can be aggregated by the switch.

The essential properties of this use case are:

Target devices: Power over Ethernet devices such as IP phones,
wireless access points, and IP cameras.

How powered: PoE devices are connected to the switch port that
supplies power to those devices.

Reporting: PoE device power consumption is measured and reported
by the switch (PSE) that supplies power. In addition, some
edge devices can support the EMAN framework.

This use case can be divided into two subcases:

a) The endpoint device supports the EMAN framework, in which case
this device is an EMAN Energy Object by itself with its own
Universally Unique Identifier (UUID). The device is responsible
for its own power reporting and control. See the related
scenario "Devices Connected to a Network" below.

b) The endpoint device does not have EMAN capabilities, and the
power measurement may not be able to be performed independently
and is therefore only performed by the supplying device. This
scenario is similar to the "Mid-level Manager" below.

In subcase (a), note that two power usage reporting mechanisms for
the same device are available: one performed by the PD itself and one
performed by the PSE. Device-specific implementations will dictate
which one to use.

2.3. Devices Connected to a Network

This use case covers the metering relationship between an energy
object and the parent energy object to which it is connected, while
receiving power from a different source.

An example is a PC that has a network connection to a switch but
draws power from a wall outlet. In this case, the PC can report
power usage by itself, ideally through the EMAN framework.

The wall outlet to which the PC is plugged in can be unmetered or
metered, for example, by a Smart PDU.

a) If metered, the PC has a powered-by relationship to the Smart
PDU, and the Smart PDU acts as a "mid-level manager".

b) If unmetered, or operating on batteries, the PC will report its
own energy usage as any other Energy Object to the switch, and
the switch may possibly provide aggregation.

These two cases are not mutually exclusive.

In terms of relationships between entities, the PC has a powered-by
relationship to the PDU, and if the power consumption of the PC is
metered by the PDU, then there is a metered-by relation between the
PC and the PDU.

The essential properties of this use case are:

o Target devices: energy objects that have a network connection
but receive power supply from another source.

o How powered: endpoint devices (e.g., PCs) receive power supply
from the wall outlet (unmetered), a PDU (metered), or can be
powered autonomously (batteries).

o Reporting: Devices can either measure and report the The power consumption directly can be reported via the EMAN framework, or communicate it
to
framework
- by the network device (switch) and directly,
- by the switch can report the
device's power consumption via with information provided to it by the EMAN framework, device,
or power can
be reported
- by the PDU. PDU from which the device obtains its power.

2.4. Power Meters

Some electrical devices are not equipped with instrumentation to
measure their own power and accumulated energy consumption. External
meters can be used to measure the power consumption of such
electrical devices as well as collections of devices.

Three types of external metering are relevant to EMAN: PDUs,
standalone meters, and utility meters. External meters can measure
consumption of a single device or a set of devices.

Power Distribution Units (PDUs) can have built-in meters for each
socket and can measure the power supplied to each device in an
equipment rack. PDUs typically have remote management capabilities
that can report and possibly control the power supply of each outlet.

Standalone meters can be placed anywhere in a power distribution tree
and may measure all or part of the total. Utility meters monitor and
report accumulated power consumption of the entire building. There
can be submeters to measure the power consumption of a portion of the
building.

The essential properties of this use case are:

o Target devices: PDUs and meters.

o How powered: from traditional mains power but supplied through
a PDU or meter (where "mains power" is the standard AC power
drawn from the wall outlet).

o Reporting: PDUs report power consumption of downstream devices,
usually a single device per outlet. Meters may report for one
or more devices and may require knowledge of the topology to
associate meters with metered devices.

Meters have metered-by relationships with devices and may have
aggregation relationships between the meters and the devices for
which power consumption is accumulated and reported by the meter.

2.5. Mid-level Managers

This use case covers aggregation of energy management data at "mid-
level managers" that can provide energy management functions for
themselves and associated devices.

A switch can provide energy management functions for all devices
connected to its ports whether or not these devices are powered by
the switch or whether the switch provides immediate network
connectivity to the devices. Such a switch is a mid-level manager,
offering aggregation of power consumption data for other devices.
Devices report their EMAN data to the switch and the switch
aggregates the data for further reporting.

The essential properties of this use case:

o Target devices: devices that can perform aggregation; commonly
a switch or a proxy.

o How powered: mid-level managers are commonly powered by a PDU
or from a wall outlet but can be powered by any method.

o Reporting: The mid-level manager aggregates the energy data and
reports that data to an EnMS or higher mid-level manager.

2.6. Non-residential Building System Gateways

This use case describes energy management of non-residential
buildings. Building Management Systems (BMS) have been in place for
many years using legacy protocols not based on IP. In these
buildings, a gateway can provide a proxy function between IP networks
and legacy building automation protocols. The gateway provides an
interface between the EMAN framework and relevant building management
protocols.

Due to the potential energy savings, energy management of buildings
has received significant attention. There are gateway network
elements to manage the multiple components of a building energy
management system such as Heating, Ventilation, and Air Conditioning
(HVAC), lighting, electrical, fire and emergency systems, elevators,
etc. The gateway device uses legacy building protocols to
communicate with those devices, collects their energy usage, and
reports the results.

The gateway performs protocol conversion and communicates via
RS-232/RS-485 interfaces, Ethernet interfaces, and protocols specific
to building management such as BACnet (a protocol for building
automation and control networks) [BACnet], Modbus [MODBUS], or ZigBee
[ZIGBEE].

The essential properties of this use case are:

o Target devices: building energy management devices -- HVAC
systems, lighting, electrical, and fire and emergency systems.

o How powered: any method.

o Reporting: The gateway collects energy consumption of non-IP
systems and communicates the data via the EMAN framework.

2.7. Home Energy Gateways

This use case describes the scenario of energy management of a home.
The home energy gateway is another example of a proxy that interfaces
with electrical appliances and other devices in a home. This gateway
can monitor and manage electrical equipment (e.g., refrigerator,
heating/cooling, or washing machine) using one of the many protocols
that are being developed for residential devices.

Beyond simply metering, it's possible to implement energy saving
policies based on time of day, occupancy, or energy pricing from the
utility grid. The EMAN information model can be applied to the
energy management of a home.

The essential properties of this use case are:

o Target devices: home energy gateway and smart meters in a home.

o How powered: any method.

o Reporting: The home energy gateway can collect power
consumption of device in a home and possibly report the meter
reading to the utility.

2.8. Data Center Devices

This use case describes energy management of a data center. Energy
efficiency of data centers has become a fundamental challenge of data
center operation, as data centers are big energy consumers and have
an expensive infrastructure. The equipment generates heat, and heat
needs to be evacuated through an HVAC system.

A typical data center network consists of a hierarchy of electrical
energy objects. At the bottom of the network hierarchy are servers
mounted on a rack; these are connected to top-of-the-rack switches,
which in turn are connected to aggregation switches and then to core
switches. Power consumption of all network elements, servers, and
storage devices in the data center should be measured. Energy
management can be implemented on different aggregation levels, i.e.,
at the network level, the Power Distribution Unit (PDU) level, and/or
the server level.

Beyond the network devices, storage devices, and servers, data
centers contain Uninterruptable Power Systems (UPSs) to provide back-
up power for the facility in the event of a power outage. A UPS can
provide backup power for many devices in a data center for a finite
period of time. Energy monitoring of energy storage capacity is
vital from a data center network operations point of view.
Presently, the UPS MIB can be useful in monitoring the battery
capacity, the input load to the UPS, and the output load from the
UPS. Currently, there is no link between the UPS MIB and the ENTITY
MIB.

In addition to monitoring the power consumption of a data center,
additional power characteristics should be monitored. Some of these
are dynamic variations in the input power supply from the grid,
referred to as power quality metrics. It can also be useful to
monitor how efficiently the devices utilize power.

Nameplate capacity of the data center can be estimated from the
nameplate ratings (which indicate the maximum possible power draw) of
IT equipment at a site.

The essential properties of this use case are:

o Target devices: IT devices in a data center, such as network
equipment, servers, and storage devices, as well as power and
cooling infrastructure.

o How powered: any method, but commonly by one or more PDUs.

o Reporting: Devices may report on their own behalf or for other
connected devices as described in other use cases.

2.9. Energy Storage Devices

Energy storage devices can have two different roles: one type whose
primary function is to provide power to another device (e.g., a UPS)
and one type with a different primary function but that has energy
storage as a component (e.g., a notebook). This use case covers
both.

The energy storage can be a conventional battery or any other means
to store electricity, such as a hydrogen cell.

An internal battery can be a back-up or an alternative source of
power to mains power. As batteries have a finite capacity and
lifetime, means for reporting the actual charge, age, and state of a
battery are required. An internal battery can be viewed as a
component of a device and can be contained within the device from an
ENTITY-MIB perspective.

Battery systems are often used in remote locations such as mobile
telecom towers. For continuous operation, it is important to monitor
the remaining battery life and raise an alarm when this falls below a
threshold.

The essential properties of this use case are:

o Target devices: devices that have an internal battery or
external storage.

o How powered: from batteries or other storage devices.

o Reporting: The device reports on its power delivered and state.

2.10. Industrial Automation Networks

Energy consumption statistics in the industrial sector are
staggering. The industrial sector alone consumes about half of the
world's total delivered energy and is a significant user of
electricity. Thus, the need for optimization of energy usage in this
sector is natural.

Industrial facilities consume energy in process loads and non-process
loads.

The essential properties of this use case are:

o Target devices: devices used in an industrial sector.

o How powered: any method.

o Reporting: The Common Industrial Protocol (CIP) is commonly
used for reporting energy for these devices.

2.11. Printers

This use case describes the scenario of energy monitoring and
management of printers. Printers in this use case stand in for all
imaging equipment, including Multi-function Devices (MFDs), scanners,
fax machines, and mailing machines.

Energy use of printers has been a long-standing industry concern, and
sophisticated power management is common. Printers often use a
variety of low-power modes, particularly for managing energy-
intensive thermo-mechanical components. Printers also have long made
extensive use of SNMP for end-user system interaction and for
management generally, with cross-vendor management systems able to
manage fleets of printers in enterprises. Power consumption during
active modes can vary widely, with high peak usage levels.

Printers can expose detailed power state information, distinct from
operational state information, with some printers reporting
transition states between stable long-term states. Many also support
active setting of power states and policies, such as delay times,
when inactivity automatically transitions the device to a lower power
mode. Other features include reporting on components, counters for
state transitions, typical power levels by state, scheduling, and
events/alarms.

Some large printers also have a "Digital Front End", which is a
computer that performs functions on behalf of the physical imaging
system. These typically have their own presence on the network and
are sometimes separately powered.

There are some unique characteristics of printers from the point of
view energy management. While the printer is not in use, there are
timer-based low power states, which consume little power. On the
other hand, while the printer is printing or copying, the cylinder is
heated so that power consumption is quite high but only for a short
period of time. Given this work load, periodic polling of power
levels alone would not suffice.

The essential properties of this use case are:

o Target devices: all imaging equipment.

o How powered: typically, AC from a wall outlet.

o Reporting: The devices report for themselves.

2.12. Demand Response

The theme of demand response from a utility grid spans across several
use cases. In some situations, in response to time-of-day
fluctuation of energy costs or sudden energy shortages due power
outages, it may be important to respond and reduce the energy
consumption of the network.

From the EMAN use case perspective, the demand-response scenario can
apply to a data center, building, or home. Real-time energy
monitoring is usually a prerequisite so that during a potential
energy shortfall the EnMS can provide an active response. The EnMS
could shut down selected devices that are considered lower priority
or uniformly reduce the power supplied to a class of devices. For
multisite data centers, it may be possible to formulate policies such
as the follow-the-sun type of approach by scheduling the mobility of
Virtual Machines (VMs) across data centers in different geographical
locations.

The essential properties of this use case are:

o Target devices: any device.

o How powered: traditional mains AC power.

o Reporting: Devices report in real time.

o Control: demand response based upon policy or priority.

3. Use Case Patterns

The use cases presented above can be abstracted to the following
broad patterns for energy objects.

3.1. Metering

- Energy objects that have the capability for internal metering

- Energy objects that are metered by an external device

3.2. Metering and Control

- Energy objects that do not supply power but can perform power
metering for other devices

- Energy objects that do not supply power but can perform both
metering and control for other devices

3.3. Power Supply, Metering, and Control

- Energy objects that supply power for other devices but do not
perform power metering for those devices

- Energy objects that supply power for other devices and also
perform power metering

- Energy objects that supply power for other devices and also
perform power metering and control for other devices

3.4. Multiple Power Sources

- Energy objects that have multiple power sources, with metering and
control performed by the same power source

- Energy objects that have multiple power sources supplying power to
the device with metering performed by one or more sources and
control performed by another source

4. Relationship of EMAN to Other Standards

The EMAN framework is tied to other standards and efforts that
address energy monitoring and control. EMAN leverages existing
standards when possible, and it helps enable adjacent technologies
such as Smart Grid.

The standards most relevant and applicable to EMAN are listed below
with a brief description of their objectives, the current state, and
how that standard relates to EMAN.

4.1. Data Model and Reporting

4.1.1. IEC - CIM

The International Electrotechnical Commission (IEC) has developed a
broad set of standards for power management. Among these, the most
applicable to EMAN is IEC 61850, a standard for the design of
electric utility automation. The abstract data model defined in
61850 is built upon and extends the Common Information Model (CIM).
The complete 61850 CIM model includes over a hundred object classes
and is widely used by utilities worldwide.

This set of standards were originally conceived to automate control
of a substation (a facility that transfers electricity from the
transmission to the distribution system). However, the extensive
data model has been widely used in other domains, including Energy
Management Systems (EnMS).

IEC TC57 WG19 is an ongoing working group with the objective to
harmonize the CIM data model and 61850 standards.

Several concepts from IEC Standards have been reused in the EMAN
documents. In particular, AC Power Quality measurements have been
reused from IEC 61850-7-4. The concept of Accuracy Classes for
measurement of power and energy has been adapted from ANSI C12.20 and
IEC standards 62053-21 and 62053-22.

4.1.2. DMTF

The Distributed Management Task Force (DMTF) has defined a Power
State Management profile [DMTF-DSP1027] for managing computer systems
using the DMTF's Common Information Model (CIM). These
specifications provide physical, logical, and virtual system
management requirements for power-state control services. The DMTF
standard does not include energy monitoring.

The Power State Management profile is used to describe and manage the
Power State of computer systems. This includes controlling the Power
State of an entity for entering sleep mode, awakening, and rebooting.
The EMAN framework references the DMTF Power Profile and Power State
Set.

4.1.2.1. Common Information Model Profiles

The DMTF uses CIM-based 'Profiles' to represent and manage power
utilization and configuration of managed elements (note that this is
not the 61850 CIM). Key profiles for energy management are 'Power
Supply' (DSP 1015), 'Power State' (DSP 1027), and 'Power Utilization
Management' (DSP 1085). These profiles define many features for the
monitoring and configuration of a Power Managed Element's static and
dynamic power saving modes, power allocation limits, and power
states.

Reduced power modes can be established as static or dynamic. Static
modes are fixed policies that limit power use or utilization.
Dynamic power saving modes rely upon internal feedback to control
power consumption.

Power states are eight named operational and non-operational levels.
These are On, Sleep-Light, Sleep-Deep, Hibernate, Off-Soft, and Off-
Hard. Power change capabilities provide immediate, timed interval,
and graceful transitions between on, off, and reset power states.
Table 3 of the Power State Profile defines the correspondence between
the Advanced Configuration and Power Interface [ACPI] and DMTF power
state models, although it is not necessary for a managed element to
support ACPI. Optionally, a TransitioningToPowerState property can
represent power state transitions in progress.

4.1.2.2. DASH

DMTF Desktop and Mobile Architecture for System Hardware [DASH]
addresses managing heterogeneous desktop and mobile systems
(including power) via in-band and out-of-band communications. DASH
uses the DMTF's Web Services for Management (WS-Management) and CIM
data model to manage and control resources such as power, CPU, etc.

Both in-service and out-of-service systems can be managed with the
DASH specification in a fully secured remote environment. Full power
life-cycle management is possible using out-of-band management.

4.1.3. ODVA

The Open DeviceNet Vendors Association (ODVA) is an association for
industrial automation companies that defines the Common Industrial
Protocol (CIP). Within ODVA, there is a special interest group
focused on energy and standardization and interoperability of energy-
aware devices.

The ODVA is developing an energy management framework for the
industrial sector. There are synergies and similar concepts between
the ODVA and EMAN approaches to energy monitoring and management.

ODVA defines a three-part approach towards energy management:
awareness of energy usage, energy efficiency, and the exchange of
energy with a utility or others. Energy monitoring and management
promote efficient consumption and enable automating actions that
reduce energy consumption.

The foundation of the approach is the information and communication
model for entities. An entity is a network-connected, energy-aware
device that has the ability to either measure or derive its energy
usage based on its native consumption or generation of energy, or
report a nominal or static energy value.

4.1.4. Ecma SDC

The Ecma International standard on Smart Data Centre [Ecma-SDC]
defines semantics for management of entities in a data center such as
servers, storage, and network equipment. It covers energy as one of
many functional resources or attributes of systems for monitoring and
control. It only defines messages and properties and does not
reference any specific protocol. Its goal is to enable
interoperability of such protocols as SNMP, BACnet, and HTTP by
ensuring a common semantic model across them. Four power states are
defined, Off, Sleep, Idle, and Active. The standard does not include
actual energy or power measurements.

When used with EMAN, the SDC standard will provide a thin abstraction
on top of the more detailed data model available in EMAN.

4.1.5. PWG

The IEEE Industry Standards and Technology Organization (ISTO)
Printer Working Group (PWG) defines open standards for printer-
related protocols for the benefit of printer manufacturers and
related software vendors. The Printer WG covers power monitoring and
management of network printers and imaging systems in the PWG Power
Management Model for Imaging Systems [PWG5106.4]. Clearly, these
devices are within the scope of energy management since they receive
power and are attached to the network. In addition, there is ample
scope for power management since printers and imaging systems are not
used that often.

The IEEE-ISTO Printer Working Group (PWG) defines SNMP MIB modules
for printer management and, in particular, a "PWG Power Management
Model for Imaging Systems v1.0" [PWG5106.4] and a companion SNMP
binding in the "PWG Imaging System Power MIB v1.0" [PWG5106.5]. This
PWG model and MIB are harmonized with the DMTF CIM Infrastructure
[DMTF-DSP0004] and DMTF CIM Power State Management Profile
[DMTF-DSP1027] for power states and alerts.

These MIB modules can be useful for monitoring the power and Power
State of printers. The EMAN framework takes into account the
standards defined in the Printer Working Group. The PWG may
harmonize its MIBs with those from EMAN. The PWG covers many topics
in greater detail than EMAN, including those specific to imaging
equipment. The PWG also provides for vendor-specific extension
states (beyond the standard DMTF CIM states).

The IETF Printer MIB [RFC3805] is on the Standards Track, but that
MIB module does not address power management.

4.1.6. ASHRAE

In the U.S., there is an extensive effort to coordinate and develop
standards related to the "Smart Grid". The Smart Grid
Interoperability Panel, coordinated by the government's National
Institute of Standards and Technology, identified the need for a
building side information model (as a counterpart to utility models)
and specified this in Priority Action Plan (PAP) 17. This was
designated to be a joint effort by the American Society of Heating,
Refrigerating and Air-Conditioning Engineers (ASHRAE) and the
National Electrical Manufacturers Association (NEMA), both ANSI-
approved Standards Development Organizations (SDOs). The result is
to be an information model, not a protocol.

The ASHRAE effort [ASHRAE] addresses data used only within a building
as well as data that may be shared with the grid, particularly as it
relates to coordinating future demand levels with the needs of the
grid. The model is intended to be applied to any building type, both
residential and commercial. It is expected that existing protocols
will be adapted to comply with the new information model, as would
new protocols.

There are four basic types of entities in the model: generators,
loads, meters, and energy managers. The metering part of the model
overlaps to a large degree with the EMAN framework, though there are
features unique to each. The load part speaks to control
capabilities well beyond what EMAN covers. Details of generation and
of the energy management function are outside of EMAN scope.

A public review draft of the ASHRAE standard was released in July, July
2012. There are no apparent major conflicts between the two
approaches, but there are areas where some harmonization is possible.

4.1.7. ANSI/CEA

The Consumer Electronics Association (CEA) has approved ANSI/CEA-2047
[ANSICEA] as a standard data model for Energy Usage Information. The
primary purpose is to enable home appliances and electronics to
communicate energy usage information over a wide range of
technologies with pluggable modules that contain the physical-layer
electronics. The standard can be used by devices operating on any
home network including Wi-Fi, Ethernet, ZigBee, Z-Wave, and
Bluetooth. The Introduction to ANSI/CEA-2047 states that "this
standard provides an information model for other groups to develop
implementations specific to their network, protocol and needs." It
covers device identification, current power level, cumulative energy
consumption, and provides for reporting time-series data.

4.1.8. ZigBee

The ZigBee Smart Energy Profile 2.0 (SEP) effort [ZIGBEE] focuses on
IP-based wireless communication to appliances and lighting. It is
intended to enable internal building energy management and provide
for bidirectional communication with the power grid.

ZigBee protocols are intended for use in embedded applications with
low data rates and low power consumption. ZigBee defines a general-
purpose, inexpensive, self-organizing mesh network that can be used
for industrial control, embedded sensing, medical data collection,
smoke and intruder warning, building automation, home automation,
etc.

ZigBee is currently not an ANSI-recognized SDO.

The EMAN framework addresses the needs of IP-enabled networks through
the usage of SNMP, while ZigBee provides for completely integrated
and inexpensive mesh solutions.

4.2. Measurement

4.2.1. ANSI C12

The American National Standards Institute (ANSI) has defined a
collection of power meter standards under ANSI C12. The primary
standards include communication protocols (C12.18, 21 and 22), data
and schema definitions (C12.19), and measurement accuracy (C12.20).
European equivalent standards are provided by IEC 62053-22.

These very specific standards are oriented to the meter itself and
are used by electricity distributors and producers.

The EMAN standard framework [RFC7326] references the Accuracy Classes
specified in ANSI C12.20.

4.2.2. IEC 62301

IEC 62301, "Household electrical appliances - Measurement of standby
power" [IEC62301], specifies a power-level measurement procedure.
While nominally for appliances and low-power modes, its concepts
apply to other device types and modes, and it is commonly referenced
in test procedures for energy using products.

While the standard is intended for laboratory measurements of devices
in controlled conditions, aspects of it are informative to those
implementing measurement in products that ultimately report via EMAN.

4.3. Other

4.3.1. ISO

The International Organization for Standardization (ISO) [ISO] is
developing an energy management standard, ISO 50001, to complement
ISO 9001 for quality management and ISO 14001 for environmental
management. The intent is to facilitate the creation of energy
management programs for industrial, commercial, and other entities.
The standard defines a process for energy management at an
organizational level. It does not define the way in which devices
report energy and consume energy.

ISO 50001 is based on the common elements found in all of ISO's
management system standards, assuring a high level of compatibility
with ISO 9001 and ISO 14001. ISO 50001 benefits include:

o Integrating energy efficiency into management practices and
throughout the supply chain.

o Using energy management best practices and good energy
management behaviors.

o Benchmarking, measuring, documenting, and reporting energy
intensity improvements and their projected impact on reductions
in greenhouse gas (GHG) emissions.

o Evaluating and prioritizing the implementation of new energy-
efficient technologies.

ISO 50001 has been developed by ISO project committee ISO TC 242,
Energy Management. EMAN is complementary to ISO 9001.

4.3.2. Energy Star

The U.S. Environmental Protection Agency (EPA) and U.S. Department of
Energy (DOE) jointly sponsor the Energy Star program [ESTAR]. The
program promotes the development of energy efficient products and
practices.

To qualify as Energy Star, products must meet specific energy
efficiency targets. The Energy Star program also provides planning
tools and technical documentation to encourage more energy-efficient
building design. Energy Star is a program; it is not a protocol or
standard.

For businesses and data centers, Energy Star offers technical support
to help companies establish energy conservation practices. Energy
Star provides best practices for measuring current energy
performance, goal setting, and tracking improvement. The Energy Star
tools offered include a rating system for building performance and
comparative benchmarks.

There is no immediate link between EMAN and Energy Star, one being a
protocol and the other a set of recommendations to develop energy-
efficient products. However, Energy Star could include EMAN
standards in specifications for future products, either as required
or rewarded with some benefit.

4.3.3. Smart Grid

The Smart Grid standards efforts underway in the United States are
overseen by the U.S. National Institute of Standards and Technology
[NIST]. NIST is responsible for coordinating a public-private
partnership with key energy and consumer stakeholders in order to
facilitate the development of Smart Grid standards. These activities
are monitored and facilitated by the Smart Grid Interoperability
Panel (SGIP). This group has working groups for specific topics
including homes, commercial buildings, and industrial facilities as
they relate to the grid. A stated goal of the group is to harmonize
any new standard with the IEC CIM and IEC 61850.

When a working group detects a standard or technology gap, the team
seeks approval from the SGIP for the creation of a Priority Action
Plan (PAP), a private-public partnership to close the gap. PAP 17 is
discussed in Section 4.1.6.

PAP 10 addresses "Standard Energy Usage Information". Smart Grid
standards will provide distributed intelligence in the network and
allow enhanced load shedding. For example, pricing signals will
enable selective shutdown of non-critical activities during peak
price periods. Actions can be effected through both centralized and
distributed management controls.

There is an obvious functional link between Smart Grid and EMAN in
the form of demand response even though the EMAN framework itself
does not address any coordination with the grid. As EMAN enables
control, it can be used by an EnMS to accomplish demand response
through translation of a signal from an outside entity.

5. Limitations

EMAN addresses the needs of energy monitoring in terms of measurement
and considers limited control capabilities of energy monitoring of
networks.

EMAN does not create a new protocol stack, but rather defines a data
and information model useful for measuring and reporting energy and
other metrics over SNMP.

EMAN does not address questions regarding Smart Grid, electricity
producers, and distributors.

6. Security Considerations

EMAN uses SNMP and thus has the functionality of SNMP's security
capabilities. SNMPv3 [RFC3411] provides important security features
such as confidentiality, integrity, and authentication.

Section 10 of [RFC7460] and Section 6 of [RFC7461] mention that power
monitoring and management MIBs may have certain privacy implications.
These privacy implications are beyond the scope of this document.
There may be additional privacy considerations specific to each use
case; this document has not attempted to analyze these.

7. References

9.1.

7.1. Normative References

[RFC3411] Harrington, D., Presuhn, R., and B. Wijnen, "An
Architecture for Describing Simple Network Management
Protocol (SNMP) Management Frameworks", STD 62, RFC 3411,
DOI 10.17487/RFC3411, December 2002,
<http://www.rfc-editor.org/info/rfc3411>.

[RFC3621] Berger, A. and D. Romascanu, "Power Ethernet MIB",
RFC 3621, DOI 10.17487/RFC3621, December 2003,
<http://www.rfc-editor.org/info/rfc3621>.

9.2.

7.2. Informative References

[ACPI] ACPI, "Advanced Configuration and Power Interface
Specification", Revision 5.0b, November 2013,
<http://www.acpi.info/spec30b.htm>.

[ANSICEA] ANSI, "CEA 2047 CE Energy Usage Information (CE-EUI)",
ANSI/CEA-2047, August 2014.

[ASHRAE] NIST, "ASHRAE SPC 201 P Information Page",
<http://collaborate.nist.gov/twiki-sggrid/
bin/view/SmartGrid/PAP17Information>.

[BACnet] "BACnet Webpage", <http://www.bacnet.org>.

[DASH] DMTF, "Desktop and Mobile Architecture for System
Hardware", <http://www.dmtf.org/standards/mgmt/dash/>.

[DMTF-DSP0004]
DMTF, "Common Information Model (CIM) Infrastructure",
DSP0004, Version 2.5.0, May 2009, <http://www.dmtf.org/
standards/published_documents/DSP0004_2.5.0.pdf>.

[DMTF-DSP1027]
DMTF, "Power State Management Profile", DSP1027, Version
2.0.0, December 2009, <http://www.dmtf.org/standards/
published_documents/DSP1027_2.0.0.pdf>.

[Ecma-SDC] Ecma International, "Smart Data Centre Resource
Monitoring and Control", Standard ECMA-400, Second
Edition, June 2013, <http://www.ecma-international.org/
publications/standards/Ecma-400.htm>.

[ESTAR] Energy Star, <http://www.energystar.gov/>.

[IEC62301] IEC, "Household electrical appliances - Measurement of
standby power", IEC 62301:2011, Edition 2.0, January
2011.

[ISO] ISO, "ISO launches ISO 50001 energy management standard",
June 2011,
<http://www.iso.org/iso/news.htm?refid=Ref1434>.

[MODBUS] Modbus-IDA, "MODBUS Application Protocol Specification",
Version 1.1b, December 2006, <http://www.modbus.org/docs/
Modbus_Application_Protocol_V1_1b.pdf>.

[NIST] NIST, "Smart Grid Homepage", August 2010,
<http://www.nist.gov/smartgrid/>.

[PWG5106.4] IEEE-ISTO, "PWG Power Management Model for Imaging
Systems 1.0", PWG Candidate Standard 5106.4-2011,
February 2011, <ftp://ftp.pwg.org/pub/pwg/candidates/
cs-wimspower10-20110214-5106.4.pdf>.

[PWG5106.5] IEEE-ISTO, "PWG Imaging System Power MIB v1.0", PWG
Candidate Standard 5106.5-2011, February 2011.

[RFC3805] Bergman, R., Lewis, H., and I. McDonald, "Printer MIB
v2", RFC 3805, DOI 10.17487/RFC3805, June 2004,
<http://www.rfc-editor.org/info/rfc3805>.

[RFC6933] Bierman, A., Romascanu, D., Quittek, J., and M.
Chandramouli, "Entity MIB (Version 4)", RFC6933,
DOI 10.17487/RFC6933, May 2013,
<http://www.rfc-editor.org/info/rfc6933>.

[RFC6988] Quittek, J., Ed., Chandramouli, M., Winter, R., Dietz,
T., and B. Claise, "Requirements for Energy Management",
RFC 6988, DOI 10.17487/RFC6988, September 2013,
<http://www.rfc-editor.org/info/rfc6988>.

[RFC7326] Parello, J., Claise, B., Schoening, B., and J. Quittek,
"Energy Management Framework", RFC 7326,
DOI 10.17487/RFC7326, September 2014,
<http://www.rfc-editor.org/info/rfc7326>.

[RFC7460] Chandramouli, M., Claise, B., Schoening, B., Quittek, J.,
and T. Dietz, "Monitoring and Control MIB for Power and
Energy", RFC 7460, DOI 10.17487/RFC7460, March 2015,
<http://www.rfc-editor.org/info/rfc7460>.

[RFC7461] Parello, J., Claise, B., and M. Chandramouli, "Energy
Object Context MIB", RFC 7461, DOI 10.17487/RFC7461,
March 2015, <http://www.rfc-editor.org/info/rfc7461>.

[RFC7577] Quittek, J., Winter, R., and T. Dietz, "Definition of
Managed Objects for Battery Monitoring", RFC 7577,
DOI 10.17487/RFC7577, July 2015,
<http://www.rfc-editor.org/info/rfc7577>.

[ZIGBEE] "The ZigBee Alliance", <http://www.zigbee.org/>.

Acknowledgements

Firstly, the authors thank Emmanuel Tychon for taking the lead on the
initial draft and making substantial contributions to it. The
authors also thank Jeff Wheeler, Benoit Claise, Juergen Quittek,
Chris Verges, John Parello, and Matt Laherty for their valuable
contributions. The authors also thank Kerry Lynn for the use case
involving demand response.

Authors' Addresses

Brad Schoening
Independent Consultant
44 Rivers Edge Drive
Little Silver, NJ 07739
United States

Phone: +1 917 304 7190
Email: brad.schoening@verizon.net

Mouli Chandramouli
Cisco Systems, Inc.
Sarjapur Outer Ring Road
Bangalore 560103
India

Phone: +91 80 4429 2409
Email: moulchan@cisco.com

Bruce Nordman
Lawrence Berkeley National Laboratory
1 Cyclotron Road, 90-4000
Berkeley 94720-8136 90-2000
Berkeley, CA 94720-8130
United States

Phone: +1 510 486 7089
Email: bnordman@lbl.gov