# On-line optimization scheme for HVAC demand response

## Abstract

A computer-implemented method of optimizing demand-response (DR) of a heating, ventilation, and air-conditioning (HVAC) system of a building, includes determining (30, 31, 32) a value of an objective function F.sub.ij of a HVAC system for each of a plurality of DR strategies j for each of a plurality of weather patterns i that is a weighted sum of an energy cost of the HVAC system and a thermal comfort loss of the HVAC system, assigning (33, 34, 35, 36) a likelihood score L.sub.i,j to each of a selected subset of near-optimal DR strategies j for each weather pattern i, and selecting (37, 38) those near-optimal DR strategies with large overall likelihood scores L.sub.j to create an optimal strategy pool of DR strategies. An optimal strategy pool can be searched (39) in real-time for an optimal DR strategy for a given weather pattern.

- Inventors:

- Publication Date:

- Research Org.:
- Siemens Corporation, Iselin, NJ (United States)

- Sponsoring Org.:
- USDOE

- OSTI Identifier:
- 1483372

- Patent Number(s):
- 10,077,915

- Application Number:
- 14/433,860

- Assignee:
- Siemens Corporation (Iselin, NJ) DOEEE

- DOE Contract Number:
- EE0003847

- Resource Type:
- Patent

- Resource Relation:
- Patent File Date: 2013 Oct 10

- Country of Publication:
- United States

- Language:
- English

- Subject:
- 42 ENGINEERING; 97 MATHEMATICS AND COMPUTING

### Citation Formats

```
Lu, Yan, Shen, Ling, and Zhu, Jianmin.
```*On-line optimization scheme for HVAC demand response*. United States: N. p., 2018.
Web.

```
Lu, Yan, Shen, Ling, & Zhu, Jianmin.
```*On-line optimization scheme for HVAC demand response*. United States.

```
Lu, Yan, Shen, Ling, and Zhu, Jianmin. Tue .
"On-line optimization scheme for HVAC demand response". United States.
doi:. https://www.osti.gov/servlets/purl/1483372.
```

```
@article{osti_1483372,
```

title = {On-line optimization scheme for HVAC demand response},

author = {Lu, Yan and Shen, Ling and Zhu, Jianmin},

abstractNote = {A computer-implemented method of optimizing demand-response (DR) of a heating, ventilation, and air-conditioning (HVAC) system of a building, includes determining (30, 31, 32) a value of an objective function F.sub.ij of a HVAC system for each of a plurality of DR strategies j for each of a plurality of weather patterns i that is a weighted sum of an energy cost of the HVAC system and a thermal comfort loss of the HVAC system, assigning (33, 34, 35, 36) a likelihood score L.sub.i,j to each of a selected subset of near-optimal DR strategies j for each weather pattern i, and selecting (37, 38) those near-optimal DR strategies with large overall likelihood scores L.sub.j to create an optimal strategy pool of DR strategies. An optimal strategy pool can be searched (39) in real-time for an optimal DR strategy for a given weather pattern.},

doi = {},

journal = {},

number = ,

volume = ,

place = {United States},

year = {Tue Sep 18 00:00:00 EDT 2018},

month = {Tue Sep 18 00:00:00 EDT 2018}

}

Works referenced in this record:

##
Energy Management Systems and Methods

patent-application, September 2011

- Irving, Gary W.
- US Patent Application 12/975188; 20110231320