IP Library Granted Patent US 9,892,472
Granted Patent B2
US 9,892,472 · App. 13/763,826 · Granted Feb 13, 2018

Cost optimization for buildings with hybrid ventilation systems

Inventors: Kun Ji (Plainsboro, NJ); Yan Lu (West Windsor, NJ)
Assignee: Siemens Corporation
G06Q50/06F24F11/006F24F2011/0047F24F2011/0075
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Quick Facts
Patent No.
US 9,892,472
App. No.
13/763,826
Granted
Feb 13, 2018
Kind
B2
Abstract

A method including: computing a total cost for a first zone in a building, wherein the total cost is equal to an actual energy cost of the first zone plus a thermal discomfort cost of the first zone; and heuristically optimizing the total cost to identify temperature setpoints for a mechanical heating/cooling system and a start time and an end time of the mechanical heating/cooling system, based on external weather data and occupancy data of the first zone.

Claims (41)

1. A method, comprising:

simulating energy consumption of the first zone for a predetermined time by using temperature setpoints, a start time and an end time of the mechanical heating/cooling system associated with the computed total cost;

heuristically optimizing a total cost associated with a first zone in a building to identify optimal temperature setpoints for a mechanical heating/cooling system and a start time and an end time of the mechanical heating/cooling system based on external weather data and occupancy data of the first zone,

wherein the total cost is based on an actual energy cost of the first zone plus a thermal discomfort cost of the first zone;

wherein the actual energy cost of the first zone is equal to electricity cost of the first zone for a predetermined time plus gas/oil cost of the first zone for the predetermined time;

wherein the thermal discomfort cost is a cost value lost due to discomfort of at least one person in the first zone as represented by the following equation:

Discomfort cost =(1−RP)* pr max *people,

wherein RP is relative performance of a person compared to maximum performance pr max as a function of a thermal sensation value, pr max is a maximum performance rate which indicates a maximum monetary value generated by the person at their full thermal comfort, a high RP indicates a high comfort level of the person and a low RP indicates a low comfort level of the person; and

wherein the thermal sensation value is determined by applying a comfort model to an operative temperature value for the first zone.

2. The method of claim 1 , wherein the first zone includes at least one room.

3. The method of claim 1 , wherein the heuristic optimization includes repeating steps of computing a total cost and simulating energy consumption using different temperature setpoints, start times and end times of the mechanical heating/cooling system.

4. The method of claim 1 , wherein the thermal discomfort cost of the first zone is a cost value lost due to discomfort of at least one person in the first zone.

5. The method of claim 1 , wherein the temperature setpoints include a temperature of the first zone for a minimum cooling cost or a temperature of the first zone for a minimum heating cost.

6. The method of claim 1 , wherein windows in the first zone are closed at the start time of the mechanical heating/cooling system and the windows in first zone are opened at the end time of the mechanical heating/cooling system.

7. A system, comprising:

a memory device for storing a program;

a processor in communication with the memory device, the processor operative with the program to:

simulate energy consumption of the first zone for a predetermined time by using temperature setpoints, a start time and an end time of the mechanical heating/cooling system associated with the computed cost;

heuristically optimize a total cost associated with a first zone in a building to identify temperature optimal setpoints for a mechanical heating/cooling system and a start time and an end time of the mechanical heating/cooling system based on external weather data and occupancy data of the first zone,

wherein the total cost is based on an actual energy cost of the first zone plus a thermal discomfort cost of the first zone;

wherein the actual energy cost of the first zone is equal to electricity cost of the first zone for a predetermined time plus gas/oil cost of the first zone for the predetermined time;

wherein the thermal discomfort cost is a monetary cost value lost due to discomfort of at least one person in the first zone as represented by the following equation:

Discomfort cost =(1−RP)* pr max *people,

wherein RP is relative performance of a person compared to maximum performance pr max as a function of a thermal sensation voting value, pr max is a maximum performance rate which indicates a maximum monetary value generated by the person at their full thermal comfort, a high RP indicates a high comfort level of the person and a low RP indicates a low comfort level of the person; and

wherein the thermal sensation value is determined by applying a comfort model to an operative temperature value for the first zone.

8. The system of claim 7 , wherein the first zone includes at least one room.

9. The system of claim 7 , wherein the temperature set points include a temperature of the first zone for a minimum cooling cost or a temperature of the first zone for a minimum heating cost.

10. The system of claim 7 , wherein windows in the first zone are closed at the start time of the mechanical heating/cooling system and the windows in first zone are opened at the end time of the mechanical heating/cooling system.

11. A computer program product, comprising:

a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code configured to perform the steps of:

simulating energy consumption of the first zone for a predetermined time by using temperature setpoints, a start time and an end time of the mechanical heating/cooling system associated with the computed cost, prior to the step of heuristically optimizing;

heuristically optimizing a total cost associated with a first zone in a building to identify optimal temperature setpoints for a mechanical heating/cooling system and a start time and an end time of the mechanical heating/cooling system, based on external weather data and occupancy data of the first zone,

wherein the total cost is based on an actual energy cost of the first zone plus a thermal discomfort cost of the first zone;

wherein the actual energy cost of the first zone is equal to electricity cost of the first zone for a predetermined time plus gas/oil cost of the first zone for the predetermined time;

wherein the thermal discomfort cost is a monetary cost value lost due to discomfort of at least one person in the first zone as represented by the following equation:

Discomfort cost =(1−RP)* pr max *people,

wherein RP is relative performance of a person compared to maximum performance pr max as a function of a thermal sensation voting value, pr max is a maximum performance rate which indicates a maximum monetary value generated by the person at their full thermal comfort, a high RP indicates a high comfort level of the person and a low RP indicates a low comfort level of the person; and

wherein the thermal sensation value is determined by applying a comfort model to an operative temperature value for the first zone.

12. The computer program product of claim 11 , wherein the first zone includes at least one room.

13. The computer program product of claim 11 , wherein the temperature setpoints include a temperature of the first zone for a minimum cooling cost or a temperature of the first zone for a minimum heating cost.

14. The computer program product of claim 11 , wherein windows in the first zone are closed at the start time of the mechanical heating/cooling system and the windows in first zone are opened at the end time of the mechanical heating/cooling system.

Assignments (2)
CONFIRMATORY LICENSE Recorded Jan 20, 2023
From: SIEMENS CORPORATE RESEARCH, INC.
To: UNITED STATES DEPARTMENT OF ENERGY
Reel/Frame 062447/0446 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 11, 2013
From: JI, KUN; LU, YAN
To: SIEMENS CORPORATION
Reel/Frame 029787/0542 →
Continuity (2)
Provisional Application 61603517 · Feb 27, 2012
Related Publication 20130226359A1 · Aug 29, 2013