Method and System for Energy Savings

• US 20140277809A1
• Filed: 03/17/2014
• Published: 09/18/2014
• Est. Priority Date: 03/18/2013
• Status: Abandoned Application

• Current Assignee: Hjalmar Nilsonne
• Original Assignee: Hjalmar Nilsonne
• Inventors: Nilsonne, Hjalmar
• Application Number:
  US14/217,363
• Publication Number:
  US 20140277809A1
• Time in Patent Office: Days
• US Class Current: 700/295
• CPC Class Codes: H02J 2310/14 The load or loads being home appliances
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/242 Home appliances

Abstract

The present invention relates to a system for energy savings, comprising: an optical reader (2) arranged at an electricity meter (1) connected to a number of loads, which optical reader (2) is configured to in real time optically read a total power consumption measured by said electricity meter (1); communication means (3) operatively connected to said optical reader to transmit read total power consumption; cloud-based analysing means (4), configured to receive the transmitted total power consumption and to analyse the received total power consumption and to break up it into a plurality of separate power consumptions corresponding to a plurality of loads of said number of loads; cloud-based matching means (4), configured to match at least one of said plurality of loads to at least one predetermined alternative load and to calculate an energy saving achieved by utilizing the at least one alternative load instead of said at least one of said plurality of loads; and communication means (5) operatively connected to said cloud-based matching means and configured to transmit information of said alternative load for energy saving to a user of said number of loads.

Claims

1. A method for energy savings in an energy system including a number of loads, said method comprising:

in real time, optical reading (10) of a total power consumption from an electrical meter for said number of loads;

transferring a read total power consumption to a cloud-based means;

analysing said total power consumption and breaking up (11) the read total power consumption into a plurality of separate power consumptions corresponding to a plurality of loads of said number of loads;

matching (12) at least one of said plurality of loads to at least one predetermined alternative load and calculating an energy saving achieved by utilization of the alternative load instead of said at least one of plurality of loads; and

providing (13) a user of said number of loads with information of the predetermined alternative load for energy saving.

2. The method according to claim 1, additionally comprising:

matching (12) at least two of said plurality of loads to at least two predetermined alternative loads and calculating energy savings achieved by utilization of the alternative loads instead of the at least two of said plurality of loads; and

providing (13) a user of said number of loads with information of the at least two predetermined alternative loads and which of said at least two predetermined alternative loads that provides the largest energy saving.

3. The method according to claim 1, additionally comprising exchanging a load of said number of loads with a matched alternative load.

4. The method according to claim 1, wherein said step of analysing and breaking up is based on machine learning, preferably based on a Hidden Markov Chain Model.

5. The method according to claim 1, additionally comprising transferring total power consumption from an optical reader wirelessly to a dedicated device over a low energy protocol, preferably a Zigbee protocol or a Bluetooth low energy protocol.

6. The method according to claim 1, wherein the predetermined loads are retrieved from a database external to the energy system.

7. The method according to claim 1, additionally comprising publishing information about an alternative load and its corresponding energy saving on a secure website.

8. The method according to claim 1, additionally comprising tracking and storing power consumption for a matched load and a corresponding alternative load over a period of time;

and providing (13) a user of said number of loads with information of the tracked power consumption.

9. A system for energy savings, comprising:

an optical reader (2) arranged at an electricity meter (1) connected to a number of loads, the optical reader (2) is configured to in real time optically read a total power consumption measured by said electricity meter (1);

a communication means (3) operatively connected to said optical reader to transmit read total power consumption;

a cloud-based analysing means (4), configured to receive the transmitted total power consumption and to analyse the received total power consumption and to break up it into a plurality of separate power consumptions corresponding to a plurality of loads of said number of loads;

a cloud-based matching means (4), configured to match at least one of said plurality of loads to at least one predetermined alternative load and to calculate an energy saving achieved by utilizing the at least one alternative load instead of said at least one of said plurality of loads; and

a communication means (5) operatively connected to said cloud-based matching means and configured to transmit information of said alternative load for energy saving to a user of said number of loads.

10. The system according to claim 9, wherein said matching means (4) is configured to match at least two of said plurality of loads to at least two predetermined alternative loads and to calculate energy savings achieved by utilization of the at least two predetermined alternative loads instead of the at least two of said plurality of loads;

and said communication means (5) is configured to transmit information of said at least two predetermined alternative loads and which of said at least two predetermined alternative loads that provides the largest energy saving.

11. The system according to claim 9, wherein said system is configured to exchange a load of said number of loads with a matched alternative load.

12. The system according to claim 9, wherein said cloud-based analysing means is configured to analyse and break up the received total power consumption based on machine learning, preferably based on a Hidden Markov Chain Model.

13. The system according to claim 9, wherein said communication means (3) comprises a dedicated device configured to communicate wirelessly with said optical reader (2) over a low energy protocol, preferably a Zigbee protocol or a Bluetooth low energy protocol.

14. The system according to claim 9, wherein said communication means (5) is configured to publish information about an alternative load and its corresponding energy saving on a secure website.