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ISO 17800:2017

ISO 17800:2017 Facility smart grid information model

CDN $390.00

SKU: 6191cd93be9a Categories: ,

Description

ISO 17800:2017 provides the basis for common information exchange between control systems and end use devices found in single – and multi-family homes, commercial and institutional buildings, and industrial facilities that is independent of the communication protocol in use. It provides a common basis for electrical energy consumers to describe, manage, and communicate about electrical energy consumption and forecasts.

ISO 17800:2017 defines a comprehensive set of data objects and actions that support a wide range of energy management applications and electrical service provider interactions including:

a) on-site generation,

b) demand response,

c) electrical storage,

d) peak demand management,

e) forward power usage estimation,

f) load shedding capability estimation,

g) end load monitoring (sub metering),

h) power quality of service monitoring,

i) utilization of historical energy consumption data, and

j) direct load control.

Edition

1

Published Date

2017-12-18

Status

PUBLISHED

Pages

817

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

ISO 17800:2017 provides the basis for common information exchange between control systems and end use devices found in single - and multi-family homes, commercial and institutional buildings, and industrial facilities that is independent of the communication protocol in use. It provides a common basis for electrical energy consumers to describe, manage, and communicate about electrical energy consumption and forecasts.

ISO 17800:2017 defines a comprehensive set of data objects and actions that support a wide range of energy management applications and electrical service provider interactions including:

a) on-site generation,

b) demand response,

c) electrical storage,

d) peak demand management,

e) forward power usage estimation,

f) load shedding capability estimation,

g) end load monitoring (sub metering),

h) power quality of service monitoring,

i) utilization of historical energy consumption data, and

j) direct load control.

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