scope:

This part of ISO/IEC 15067 focuses on a model of a system in homes and buildings that can manage energy consumption and generation 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 part of ISO/IEC 15067 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 may 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 according to 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 may also include goals such as using green sources and minimising 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 as may be needed to facilitate energy management.