NZ603246B - A method for estimating electricity consumption cost based on data received from an electricity meter - Google Patents

Abstract

603246 Disclosed is a device for estimating electricity consumption cost of electrical appliances in standby mode. The device includes a database for storing electricity consumption data at time intervals, and a processor. The processor is configured to retrieve electricity consumption data for a plurality of time intervals having the lowest values from a predetermined total number of time intervals for a single day. The processor is configured to then calculate a daily energy usage of electrical appliances in standby mode by calculating an average energy usage value for the plurality of time intervals having the lowest values in a single day. This average is then multiplied by the predetermined total number of time intervals for the single day. The processor is configured to perform this calculation for each of a predetermined number of previous days and to calculate an average daily energy usage of electrical appliances in standby mode by averaging the calculated daily energy usage of electrical appliances in standby mode for the predetermined number of previous days. This standby data can be used to estimate a component of an electricity bill that is due to standby usage and present this to a user on a display of the device. plurality of time intervals having the lowest values from a predetermined total number of time intervals for a single day. The processor is configured to then calculate a daily energy usage of electrical appliances in standby mode by calculating an average energy usage value for the plurality of time intervals having the lowest values in a single day. This average is then multiplied by the predetermined total number of time intervals for the single day. The processor is configured to perform this calculation for each of a predetermined number of previous days and to calculate an average daily energy usage of electrical appliances in standby mode by averaging the calculated daily energy usage of electrical appliances in standby mode for the predetermined number of previous days. This standby data can be used to estimate a component of an electricity bill that is due to standby usage and present this to a user on a display of the device.

Description

Complete Specification Title: A method for estimating electricity consumption cost based on data received from an electricity meter.

A method for estimating electricity consumption cost based on data received from an electricity meter.

Technical Field The invention concerns a method for estimating electricity consumption cost based on data received from an electricity meter.

Background of the Invention As energy costs are increasing and growing environmental concerns there is a desire for energy consumer such as households and businesses to monitor their energy consumption on a real-time basis and estimate the resultant cost of such consumption when the next electricity bill is issued by the utility company. With this information, energy consumers are able to monitor their energy consumption and intelligently decide various factors such as choice of electrical products to buy, and the frequency and schedule of using their electrical products.

Summary of the Invention In a first preferred aspect, there is provided a a device for estimating electricity consumption cost of electrical appliances in standby mode, the device comprising: a database for storing electricity consumption data at time intervals; a processor configured to: (a) retrieve electricity consumption data for a plurality of time intervals having the lowest values from a predetermined total number of time intervals for a single day; and (b) calculate a daily energy usage of electrical appliances in standby mode by calculating an average energy usage value for said plurality of time intervals having the lowest values in a single day and multiplying said calculated average energy usage value by a number of said predetermined total number of time intervals for said single day; said processor being configured to perform steps (a) and (b) for each of a predetermined number of previous days; and to calculate an average daily energy usage of electrical appliances in standby mode by averaging the calculated daily energy usage of electrical appliances in standby mode for said predetermined number of previous days.

The device may comprise a touchscreen display to enable user interaction to display the estimated electricity consumption cost of electrical appliances in standby mode.

Brief Description of the Drawings An example of the invention will now be described with reference to the accompanying drawings, in which: Figure 1 is a series of images of a touchscreen display of an In-Home Display device for displaying electricity consumption to a consumer.

Detailed Description of the Drawings Referring to Figure 1, an In-Home Display device for displaying electricity consumption to a consumer is connected to an electricity meter of a house.

The electricity consumption and the electricity price are collected at a regular time interval and stored in the internal database of the In-Home Display device. Other data stored in the internal database of the In-Home Display device are user defined and can be changed to suit the needs of the household. For example, the user can set the bill period to either Monthly or Bi-Monthly or Quarterly to monitor their usage history. Other user defined variable charges include the Supply Charge and the Feed-in Charge.

The standby appliances cost refers to the electricity charges consumed by electrical appliances in the house that are in always-on mode. These electrical appliances include: the refrigerator, the television set, computers and network routers. Several sets of data with minimum consumption are taken, which are then used to compute the estimated standby appliances cost.

For bill prediction, the following process is performed: Data Definition: T is the billing period in terms of number of days Period D is the start date of this current billing period Start D is the date of today Today B is the estimated bill up to now Date S is a daily fixed service charge in the unit of cents per day Charge R is the price that the electricity company buys solar generated Feedin electricity from consumers C is the estimated cost up to now by standby appliances Appliances Then, the estimated bill to date is calculated as: B = ((D - D ) * S ) + ∑(U * P ) i=1… now Date Today Start Charge i i where U and P are the power consumption and price of electricity at each half hourly interval. This is displayed on a first screen 10 of the In-Home Display device.

For determining standby appliances cost C following process is Appliances performed: Step 1: Retrieve the past 7 days consumption (U ) and price (P ) data from the database of the device. Since the In-Home Display device records consumption data at every half an hour interval, there are 48 consumption and price data points every day.

Step 2: For each day of the past 7 days data, 10 data points are identified which are the minimum energy consumption out of the entire 48 data points U (Day 1) = Min (Day 1(U )) where k= 1..10 and j=1..48 k i C (Day 1) = (∑ U (Day 1) * P (Day 1)) * 24/5 Appliances k k C (Day 2) = (∑ U (Day 2) * P (Day 2)) * 24/5 Appliances k k C (Day 7) = (∑ U (Day 7) * P (Day 7)) * 24/5 Appliances k k Step 3: Calculate the average daily cost used by the standby appliances as; Av (C ) = ∑ C (Day i)/7 where i = 1.. 7 Appliances Appliances If the database has less than past 7 days data, for example 3 days, the calculation will be based on 3 days data rather than 7 days data.

Step 4: Calculate the estimated cost of the electrical appliances in standby mode during the billing period as: C = Av (C ) * T Appliances Appliances Period To determine the estimated cost up to now, the following is changed: T to (D - D ).

Period Today Start The estimated bill, B to the end of billing period is predicted by: period, B = B + B + (T * S ) period Date predict Period Charge where B is the predicted bill from now to the end of the bill period which predict is determined by a bill prediction algorithm. The predicted bill is displayed on a second screen 11 of the In-Home Display device. The predicted usage is displayed on a third screen 12 of the In-Home Display device. The bill prediction algorithm is: Calculate the average hourly and daily bill for the past 7 days as: Av. B = (∑ ∑ (U * P ) ) / (7*24) i = 1.. 48 and j = 1..7 hourly j i i i Av. B = (∑ ∑ (U * P ) ) / 7 i = 1.. 48 and j = 1..7 daily j i i i If the database has less than past 7 days data, for example 3 days, the calculation will be based on 3 days data rather than 7 days data.

Then B = (T - T ) * Av. B + (24 – The Current Hour) * Av. predict period today daily hourly Turning to Figure 1, the various views of estimated bill and usage are shown.

The currency of the estimated bill can be adjusted according to the region the In-Home Display is provided.

The in-home display device shows the total amount of electricity consumed by the house. The in-home display is connected to the Energy Service Interface (ESI) which is located into the electricity meter in most embodiments. The ESI builds up the entire Home Area Network for other devices to join such as gas meter, and in-home display.

An assumption is made on what appliances is in standby mode by assuming that the household will not leave appliances in ON/ACTIVE states when the occupants are not at home or using them. It is assumed that the household will not actively use all the electrical appliances in their home for all 24 hours in a day (i.e. sleeping or out of the house). 48 data items are recorded in the in-home display every day because the in-home display records electricity consumption at every half an hour interval. Based on the assumption described, the lowest value in the recorded 48 data items should reflect the standby appliances electricity usage. However, one data item (i.e. the lowest value data item) does not provide enough accuracy for the prediction of standby cost. Therefore, the 10 data items with the lowest values out of the 48 data items are selected and these 10 data items are then averaged to provide a more accurate estimation of standby appliances cost of a single day. Also, because electricity consumption may differ on different days (i.e. public holidays, weekends and weekdays), in order to obtain an ever more accurate prediction, the standby appliances cost of the past 7 days is calculated and then averaged to obtain a final prediction cost for the current day.

A worked example of the 48 data items corresponding to electricity consumption recorded from yesterday is as follows: Time electricity Remarks consumption 00:30 0.30 kwh electricity consumption of the house from 00:00-01:00 is 0.3 Kilo Watts per Hour 01:00 0.25 kwh 01:30 0.20 kwh 02:00 0.10 kwh data (1) 02:30 0.09 kwh data (2) 03:00 0.10 kwh data (3) 03:30 0.10 kwh data (4) 04:00 0.09 kwh data (5) 04:30 0.08 kwh data (6) 05:00 0.09 kwh data (7) 05:30 0.10 kwh data (8) 06:00 0.15 kwh 06:30 0.15 kwh 07:00 0.25 kwh 07:30 0.25 kwh 08:00 0.25 kwh 08:30 0.25 kwh 09:00 0.25 kwh 09:30 0.25 kwh :00 0.25 kwh :30 0.09 kwh data (9) 11:00 0.09 kwh data (10) 11:30 0.30 kwh 12:00 0.30 kwh 12:30 0.30 kwh . 0.30 kwh 23:30 0.28 kwh 24:00 0.28 kwh From above consumption table, we first of all find out the ten lowest 10 min. data which are indicated (i.e. data(1) … data(10) in the remarks column. Then, we calculation the average consumption of these data, ((0.1*4)+0.09*5+0.08)/10 = 0.093 kwh. We repeat above procedure to calculate last 2, 3….7 day values. Then make an averages of these data to predict today’s standby appliances cost. The eKo in-home display device implements and executes this algorithm. The results are the 3 views including estimated usage and estimated bill are displayed on the display of the “in-home display device.

The in-home display device is a standalone device which connects to a Zigbee Home Area Network. The prediction screens are all shown in a standalone in-home display devices. However, these algorithms can be expended to a USB stick in-home display device in which a USB stick is connected to a PC with an internet connection. In such an embodiment, the estimated usage and bill can be displayed via an Internet browser.

In the bill prediction, two different costs are predicted: standby appliances cost and the cost of the entire electricity bill. Standby appliances cost is subset of the entire electricity bill. The reason of finding the standby appliances cost is to let users know how much the appliances spend on the standby mode. Therefore, there are two separate screens to show this information to customers. The purpose is to let users understand more on their electricity consumption behaviour.

To estimate the entire electricity bill including standby cost and active appliances cost using the same worked example above, the average half hour cost for yesterday is: Av. B = (0.30+0.25+0.10+0.09+ ……….+ 0.30+0.28_0.28) / 48 – hourly Equation 1 This provides an average of the 48 data items from yesterday Equation 1 is repeated for the 7 previous days. For each of the 7 previous days, there are 7 different Av. B values. These 7 different Av. B hourly hourly values are then averaged to provide an average hourly consumption cost which will be used to calculate B . predict Assuming that the time period from the current day to the end of billing period is 3 days and 10 hours, then B = ((24 X 3) + 10 hours) * B predict hourly B includes standby appliances cost + non-standby appliance cost. predict It will be appreciated by persons skilled in the art that numerous variations and/or modifications may be made to the invention as shown in the specific embodiments without departing from the scope or spirit of the invention as broadly described. The present embodiments are, therefore, to be considered in all respects illustrative and not restrictive.

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Claims (4)

CLAIM :

1. A device for estimating electricity consumption cost of electrical appliances in standby mode, the device comprising: 5 a database for storing electricity consumption data at time intervals; a processor configured to: (a) retrieve electricity consumption data for a plurality of time intervals having the lowest values from a predetermined total number 10 of time intervals for a single day; and (b) calculate a daily energy usage of electrical appliances in standby mode by calculating an average energy usage value for said plurality of time intervals having the lowest values in a single day and multiplying said calculated average energy usage value by a number 15 of said predetermined total number of time intervals for said single day; said processor being configured to perform steps (a) and (b) for each of a predetermined number of previous days; and to calculate an average daily energy usage of electrical appliances in standby mode by averaging the calculated daily energy usage of electrical appliances in standby mode for 20 said predetermined number of previous days.

2. The device according to claim 1, wherein the device comprises a touchscreen display to enable user interaction to display the estimated electricity consumption cost of electrical appliances in standby mode.

3. The device according to claim 1, wherein the processor is configured to retrieve from a database electricity consumption and price data for said plurality of time intervals having the lowest values in a single day; and to calculate a daily energy cost of electrical appliances in standby mode for the 30 single day by: calculating an energy cost value for each of said plurality of time intervals; summing the calculated energy cost values for said plurality of time intervals; dividing a resultant sum of said calculated energy cost values by a number of the plurality of time intervals; and multiplying said divided sum by a number of the predetermined total of time intervals for said single day to provide said daily energy cost of electrical appliances in standby mode for that day.

4. The device according to claim 3, wherein the processor is configured to perform a calculation of a daily energy cost of electrical appliances in standby mode for each of a predetermined number of previous days; and to calculate an average daily energy cost of electrical appliances in standby 10 mode by averaging the calculated daily energy cost of electrical appliances in standby mode for said predetermined number of previous days.