Optimal thermostat programming and optimal electricity rates for customers with demand charges

Reza Kamyar, Matthew Peet

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We consider the coupled problems of optimal thermostat programming and optimal pricing of electricity. Our framework consists of a single user and a single provider (a regulated utility). The provider sets prices for the user, who pays for both total energy consumed ($/kWh, including peak and off-peak rates) and the peak rate of consumption in a month (a demand charge) ($/kW). The cost of electricity for the provider is based on a combination of capacity costs ($/kW) and fuel costs ($/kWh). In the optimal thermostat programming problem, the user minimizes the amount paid for electricity while staying within a pre-defined temperature range. The user has access to energy storage in the form of thermal capacitance of the interior structure of the building. The provider sets prices designed to minimize the total cost of producing electricity while meeting the needs of the user. To solve the user-problem, we use a variant of dynamic programming. To solve the provider-problem, we use a descent algorithm coupled with our dynamic programming code - yielding optimal on-peak, off-peak and demand prices. We show that thermal storage and optimal thermostat programming can reduce electricity bills using current utility prices from utilities Arizona Public Service (APS) and Salt River Project (SRP). Moreover, we obtain optimal utility prices which lead to significant reductions in the cost of generating electricity and electricity bills.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4529-4535
Number of pages7
Volume2015-July
ISBN (Print)9781479986842
DOIs
StatePublished - Jul 28 2015
Event2015 American Control Conference, ACC 2015 - Chicago, United States
Duration: Jul 1 2015Jul 3 2015

Other

Other2015 American Control Conference, ACC 2015
CountryUnited States
CityChicago
Period7/1/157/3/15

Fingerprint

Thermostats
Electricity
Costs
Dynamic programming
Public utilities
Energy storage
Capacitance
Rivers
Salts

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Kamyar, R., & Peet, M. (2015). Optimal thermostat programming and optimal electricity rates for customers with demand charges. In Proceedings of the American Control Conference (Vol. 2015-July, pp. 4529-4535). [7172042] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2015.7172042

Optimal thermostat programming and optimal electricity rates for customers with demand charges. / Kamyar, Reza; Peet, Matthew.

Proceedings of the American Control Conference. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. p. 4529-4535 7172042.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kamyar, R & Peet, M 2015, Optimal thermostat programming and optimal electricity rates for customers with demand charges. in Proceedings of the American Control Conference. vol. 2015-July, 7172042, Institute of Electrical and Electronics Engineers Inc., pp. 4529-4535, 2015 American Control Conference, ACC 2015, Chicago, United States, 7/1/15. https://doi.org/10.1109/ACC.2015.7172042
Kamyar R, Peet M. Optimal thermostat programming and optimal electricity rates for customers with demand charges. In Proceedings of the American Control Conference. Vol. 2015-July. Institute of Electrical and Electronics Engineers Inc. 2015. p. 4529-4535. 7172042 https://doi.org/10.1109/ACC.2015.7172042
Kamyar, Reza ; Peet, Matthew. / Optimal thermostat programming and optimal electricity rates for customers with demand charges. Proceedings of the American Control Conference. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. pp. 4529-4535
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