Methods and systems for optimizing a building design

• US 9,501,805 B2
• Filed: 08/02/2013
• Issued: 11/22/2016
• Est. Priority Date: 04/30/2009
• Status: Active Grant

• Current Assignee: Integrated Environmental Solutions, Ltd.
• Original Assignee: Integrated Enviornmentalsolutions Limited
• Inventors: McLean, Donald John
• Primary Examiner(s): Gami, Tejal
• Application Number:
  US13/958,279
• Publication Number:
  US 20140039832A1
• Time in Patent Office: 1,208 Days
• Field of Search: 702/182, 700/291
• US Class Current: 1/1
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 2120/10 Occupancy
• CPC Class Codes: F24F 2120/14 Activity of occupants
• CPC Class Codes: F24F 2140/50 Load
• CPC Class Codes: G05B 13/026 using a predictor
• CPC Class Codes: G05B 2219/25011 Domotique, I-O bus, home automation, building automation
• CPC Class Codes: G05B 2219/2614 HVAC, heating, ventillation, climate control
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/103 Workflow collaboration or project management
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

Methods and systems for optimizing a building design. A geographic location and a human comfort zone are identified. It is determined whether to adjust the building design based on information comprising building simulated delivered energy data and whether the building design meets pre-determined comfort conditions.

Claims

1. A computerized method for optimizing a building design, comprising:

identifying, using at least one application coupled to at least one computer, at least one geographic location;

identifying, using the at least one application, at least one human comfort zone;

for weather ordinates associated with the at least one geographic location, performing processing associated with calculating, using the at least one application, an indication of the amount of energy required to bring an outside air point to the boundary of the defined comfort zone for each energy load type that can be used to reach the comfort zone;

for each energy load type, performing processing associated with summing, using the at least one application, the indication for at least one time period and dividing the total by a coefficient of performance to give an energy calculation;

performing processing associated with summing, using the at least one application, all the energy calculations to produce at least one first index value associated with delivered energy;

performing processing associated with determining, using the at least one application, at least one building air change factor for at least one building design;

performing processing associated with determining, using the at least one application, the floor area of the building design;

performing processing associated with multiplying, using the at least one application, the first index value by the air change factor and dividing by the floor area to give an intermediate value;

performing processing associated with determining, using the at least one application, auxiliary load benchmark data for the at least one building design;

performing processing associated with determining, using the at least one application, occupancy hours of the at least one building design;

performing processing associated with normalizing, using the at least one application, the auxiliary load benchmark data for the occupancy hours of the at least one building design;

performing processing associated with adding, using the at least one application, the normalized auxiliary load benchmark data to the intermediate value to calculate at least one second index value;

performing processing associated with determining, using the at least one application, simulated delivered energy data;

performing processing associated with determining, using the at least one application, whether to adjust the at least one building design based on the building simulated delivered energy data and whether the at least one building design meets pre-determined comfort conditions;

performing processing associated with comparing, using the at least one application, the comfort checked building simulated delivered energy data with the at least one second index value, broken down into energy load types, to determine which load elements of the design are an improvement or otherwise over the index value benchmark; and

performing processing associated with making adjustments, using the at least one application, based on the comparison to optimize the building design.

2. The method of claim 1, wherein the at least one time period comprises:

a year; and

/or

at least one occupancy schedule representative of the use of a building.

3. The method of claim 1, wherein the at least one energy calculation comprises:

at least one heating energy calculation;

at least one cooling energy calculation;

at least one humidification energy calculation; and

at least one dehumidification energy calculation.

4. The method of claim 1, wherein the comfort zone criteria is based upon values associated with:

occupant comfort values;

or

different comfort zones;

the different comfort zones being determined by;

at least two geographic locations;

or

cultural and/or economic differences;

or

any combination thereof.

5. The method of claim 1, wherein the at least one energy calculation comprises:

one or more sources of energy including;

fossil fuel energy; and

/or

renewable energy.

6. The method of claim 1, wherein the at least one weather file ordinate associated with the at least one geographic location comprises any weather variable data.

7. The method of claim 2, wherein:

the at least one occupancy schedule includes data associated with occupancy and/or activities for a building in the at least one geographic location at various times of the day, on different days, or both.

8. The method of claim 1, further comprising:

performing processing associated with producing, using the at least one application, at least one monthly energy load breakdown, or at least one annual energy load breakdown, or both, for the at least one geographic location; and

performing processing associated with determining, using the at least one application, at least one delivered energy monthly breakdown from the at least one monthly energy load breakdown, or at least one delivered energy annual breakdown from the at least one annual energy load breakdown, or both.

9. The method of claim 4, further comprising:

performing processing associated with determining, using the at least one application, different comfort zones depending on at least two geographic locations.

10. A system for optimizing a building design comprising:

at least one server and/or at least one client coupled to a network;

at least one application coupled to the at least one server and/or the at least one client, the at least one application configured to perform processing associated with;

identifying at least one geographic location;

identifying at least one human comfort zone;

for weather ordinates associated with the at least one geographic location, calculating an indication of the amount of energy required to bring an outside air point to the boundary of the defined comfort zone for each energy load type that can be used to reach the comfort zone;

for each energy load type, summing the indication for at least one time period and dividing the total by a coefficient of performance to give an energy calculation;

summing all the energy calculations to produce at least one first index value associated with delivered energy;

determining at least one building air change factor for at least one building design;

determining the floor area of the building design;

multiplying the first index value by the air change factor and dividing by the floor area to give an intermediate value;

determining auxiliary load benchmark data for the at least one building design;

determining occupancy hours of the at least one building design;

normalizing the auxiliary load benchmark data for the occupancy hours of the at least one building design;

adding the normalized auxiliary load benchmark data to the intermediate value to calculate at least one second index value;

determining, using the at least one application, simulated delivered energy data;

determining, using the at least one application, whether to adjust the at least one building design based on the building simulated delivered energy data and whether the at least one building design meets pre-determined comfort conditions;

comparing the comfort checked building simulated delivered energy data with the at least one second index value, broken down into energy load types, to determine which load elements of the design are an improvement or otherwise over the index value benchmark; and

making adjustments based on the comparison to optimize the building design.

11. The system of claim 10, wherein the at least one time period comprises:

a year; and

/or

at least one occupancy schedule representative of the use of a building.

12. The system of claim 10, wherein the at least one energy calculation comprises:

at least one heating energy calculation;

at least one cooling energy calculation;

at least one humidification energy calculation; and

at least one dehumidification energy calculation.

13. The system of claim 10, wherein the comfort zone criteria is based upon values associated with:

occupant comfort values;

or

different comfort zones;

the different comfort zones being determined by;

at least two geographic locations;

or

cultural and/or economic differences;

or

any combination thereof.

14. The system of claim 10, wherein the at least one energy calculation comprises:

one or more sources of energy including;

fossil fuel energy; and

/or

renewable energy.

15. The system of claim 10, wherein the at least one weather file ordinate associated with the at least one geographic location comprises any weather variable data.

16. The system of claim 11, wherein:

the at least one occupancy schedule includes data associated with occupancy and/or activities for a building in the at least one geographic location at various times of the day, on different days, or both.

17. The system of claim 10, wherein the at least one application is further configured to perform processing associated with:

producing at least one monthly energy load breakdown, or at least one annual energy load breakdown, or both, for the at least one geographic location; and

determining at least one delivered energy monthly breakdown from the at least one monthly energy load breakdown, or at least one delivered energy annual breakdown from the at least one annual energy load breakdown, or both.

18. The system of claim 13, wherein the at least one application is further configured to perform processing associated with:

determining different comfort zones depending on at least two geographic locations.