Continuous optimization energy reduction process in commercial buildings

• US 20120150509A1
• Filed: 12/13/2011
• Published: 06/14/2012
• Est. Priority Date: 12/14/2010
• Status: Abandoned Application

• Current Assignee: Patrick Andrew Shiel
• Original Assignee: Patrick Andrew Shiel
• Inventors: Shiel, Patrick Andrew
• Application Number:
  US13/374,128
• Publication Number:
  US 20120150509A1
• Time in Patent Office: Days
• US Class Current: 703/2
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 2130/00 Control inputs relating to environmental factors not covered by group F24F2110/00
• CPC Class Codes: F24F 2130/10 Weather information or forecasts
• CPC Class Codes: F24F 2140/60 Energy consumption
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: G06Q 50/08 Construction
• CPC Class Codes: G06Q 50/16 Real estate
• CPC Class Codes: Y02P 90/84 Greenhouse gas [GHG] management systems

Abstract

The invention provides a method and system for optimizing energy usage (where “energy” means electric, gas, and other energy sources) in commercial buildings. In one embodiment of the invention, historical energy consumption data is used, along with occupant data, to determine appropriate adjustments in energy usage. The invention further provides for ongoing monitoring and reporting of energy savings.

A system according to the invention implements a process which consists of six stages of analysis: Usage/Energy Use Mapping and data collection, Occupant Comfort Analysis (aka Energy Zoning), Load Matching/Plant scheduling, Occupant Comfort Data Collection/Building Characterization, Design Iterative Building Energy Strategies and Energy Usage/Savings Reports/Detailed Advice Reports.

Claims

1. A method for optimizing energy use of a building of interest, said method comprising the steps of:

determining the “

building characterization”

of said building of interest with the minimum amount of parametric data, where the step of determining said “

building characterization”

includes the sub steps of;

a. determining how said building of interest responds to current use by current occupants;

b. determining how said building of interest responds to external weather conditions;

c. determining how actual installed plant used to heat/cool and ventilate said building of interest interacts with said building of interest;

determining how the running times of said actual installed plant affect occupant comfort levels during one or more predetermined time periods,

using said building characterization to model energy usage of said building of interest, so that for any time period of interest, said building of interest may be optimized with respect to the energy consumption of said building of interest.

2. The method as in claim 1 wherein the step of determining the building characterization of said building of interest further includes the step of deploying a sensor array, (where said building of interest does not already have such a sensor array) such that said sensor array transmits data useful in the building characterization.

3. The method as in claim 2 wherein the step of deploying a sensor array further includes the sub step of analyzing layout of said building of interest to determine how best to deploy said sensor array.

4. The method as in claim 3 wherein said step of deploying a sensor array further includes deploying a sensor array of fewer then 12 sensors.

5. The method of claim 1 further including additional steps of:

performing the sub steps of Usage/Energy Use mapping and Data Collection.

6. The method of claim 5, further including additional steps of:

performing the sub steps of Occupant Comfort Analysis.

7. The method of claim 6, further including additional steps of:

performing the sub steps of load matching/Plant Scheduling.

8. The method of claim 7, further including additional steps of:

performing the sub steps of Occupant Comfort Data Collection and Building Characterization.

9. The method of claim 8, further including additional steps of:

performing the sub steps of designing iterative building energy strategies.

10. The method of claim 9, further including additional steps of:

performing the sub steps of Energy usage and savings report generation, generating audit reports and detailed advice reports.

11. The method as in claim 10, further including the step of adjusting said building characterization and/or said energy model of said building of interest in response to changes in use, personnel, weather, or actual plant of said building of interest.

12. The method as in claim 11, wherein said steps are repeated iteratively, enabling continuous optimization of energy use of said building of interest.

13. The method as in claim 10, further including the step of assigning an energy equation to said building of interest, where said energy equation describes a model of how said building of interest uses energy.

14. A method of collecting data pertaining to a building of interest, such that said data enables design of an energy model of said building of interest, and said energy model enables continuous optimization of said energy consumption of said building of interest.

15. A method of continuous optimization of energy usage of a building of interest, said method providing means whereby the step of collecting a limited dataset provides a sufficient characterization of said building of interest thereby enabling design of iterative building energy strategies, such that an action plan whereby energy use of said building of interest may be minimized may be implemented.