Method and system for energy management
A technology of energy and energy consumption, applied in the field of energy use management, which can solve the problems that are not obvious and the limited ability of typical consumers to respond, and achieve the effect of effective control
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example 1
[0099] Example 1-heating / cooling
[0100] In this example, the content and use of the profile for the family residence will be discussed with respect to the management of heating and cooling facilities.
[0101] The information required in the initial profile for the family residence may include:
[0102] -Relevant dimensions of the residence and / or individual rooms;
[0103] -Information on the types and characteristics of heating and cooling devices located in the residence;
[0104] -Location information of the house, which can be linked to climate information (preloaded or downloaded via the Internet), and it can be updated regularly with local forecast and observation data; and
[0105] -Typical occupant's home and departure time (daily and weekly, remember that working days and weekends will normally have different parameters).
[0106] Optionally, although not in nature, a controller for a family home can access sensors and / or thermostats that provide internal temperature data in ...
example 2
[0117] Example 2-Home Appliance
[0118] In this example, consider the potential savings achieved by reducing standby power.
[0119] The initial profile may include (for example, in addition to other information and other aspects of energy consumption related to heating and cooling) the following:
[0120] -The size of the room and / or house and the number of occupants and relevant demographic details (which can indicate the possible use of different types of devices);
[0121] -A list of typical equipment / devices that may be present in the residence and in use, and the known and / or inferred characteristics of such equipment; and
[0122] -Typical occupants' home and departure time (different for weekdays and weekends).
[0123] The prediction of energy consumption is performed in a similar manner to the heating / cooling in Example 1 above, that is, based on the dwell time of the occupant and the relevant characteristics of various equipment and devices associated with the house.
[0124]...
example 3
[0129] Example 3—office residence
[0130] This example involves the management of power consumption in an office environment.
[0131] In this example, the initial profile is based on a typical expected residence time (expected state change time frame) between 8:30am and 5:30pm.
[0132] For adaptive modification of the profile, analyze in detail the changes in the corresponding surrounding time periods from 7:30am to 9:30am and 4:30pm to 6:30pm (ie the gradient or slope in the actual use data) or give more The weight of. Advantageously, the analysis frequency / resolution at other times can be reduced, thereby reducing the computational load. (It should be noted that a similar analysis method can be used for family homes, considering the different residence times as discussed in Examples 1 and 2.)
[0133] According to the preferred parameters of the profile, the average standby consumption (AvStandby) is calculated for the period between 12:00am and 4:00. Preferably, this is calc...
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