This part of ISO/IEC 15067 focuses on a model of a system in homes and buildings that can
manage energy consumption and generation of electricity by devices on premises dynamically
in response to electricity availability from:
– sources within the home or building such as solar panels, wind turbines, or storage
(stationary or mobile),
– neighbourhood microgrids,
– transactive energy,
– energy aggregators, and
– public utilities.
This document specifies a model including a framework and methods for energy management
consisting of interconnected elements that can be configured to support various methods for a
Home Electronic System (HES) energy management system. The methods specified are
intended to be generic and representative of a wide range of situations. This document applies
to the customer grid-edge portion of the electricity grid (within a home or building) and applies
even if the consumer has sufficient local power generation to operate without connecting to a
public utility.
This document includes an energy management model that balances power supplied from
internal and external sources with demand from appliances and electric vehicle chargers. The
model offers flexibility for locating the energy management equipment in a stand-alone product,
embedded in consumer electronics, or hosted in a gateway. This gateway can be a generic
communications interface between a home network and an external network, an energy
management gateway designed for handling energy-related data, or the HES gateway specified
in the ISO/IEC 15045 series.
This model specifies a local controller that achieves the allocation of power in accordance with
available supplies, consumer preferences for appliance operation, and power requirements of
these appliances within constraints set by the consumer. Such constraints are typically financial
(a budget for electricity) but can also include goals such as using green sources and minimizing
their impact on climate change. This controller is called the energy management agent (EMA)
since it acts as an agent for the consumer. This model accommodates an EMA with technology
of artificial intelligence to facilitate energy management.
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| Published : | 09/01/2024 |
