Electricity cost minimization in cooling systems with storage

Solomon Eyal Shimony

doi:10.1109/ICSEE.2016.7806039

Electricity cost minimization in cooling systems with storage

Solomon Eyal Shimony

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Load optimization with load shifting can be readily implemented with energy storage. In hot climates, cooling systems are a major factor in the electrical bill. Some systems have large reservoirs for cold water which can be used for pre-cooling and load shifting. A similiar setup is possible when optimizing cost of electrical heating with heat storage. This abstract examines and formally defines the problem as an MDP, and proposes a solution algorithm, for the problem of electricity cost minimization in the presence of storage, in the form of a large water tank.

Original language	English
Title of host publication	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781509021529
DOIs	https://doi.org/10.1109/ICSEE.2016.7806039
State	Published - 4 Jan 2017
Event	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 - Eilat, Israel Duration: 16 Nov 2016 → 18 Nov 2016

Publication series

Name	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016

Conference

Conference	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Country/Territory	Israel
City	Eilat
Period	16/11/16 → 18/11/16

ASJC Scopus subject areas

Computer Science Applications
Hardware and Architecture
Artificial Intelligence
Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICSEE.2016.7806039

Cite this

Shimony, S. E. (2017). Electricity cost minimization in cooling systems with storage. In 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 Article 7806039 (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICSEE.2016.7806039

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title = "Electricity cost minimization in cooling systems with storage",

abstract = "Load optimization with load shifting can be readily implemented with energy storage. In hot climates, cooling systems are a major factor in the electrical bill. Some systems have large reservoirs for cold water which can be used for pre-cooling and load shifting. A similiar setup is possible when optimizing cost of electrical heating with heat storage. This abstract examines and formally defines the problem as an MDP, and proposes a solution algorithm, for the problem of electricity cost minimization in the presence of storage, in the form of a large water tank.",

author = "Shimony, \{Solomon Eyal\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 ; Conference date: 16-11-2016 Through 18-11-2016",

year = "2017",

month = jan,

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doi = "10.1109/ICSEE.2016.7806039",

language = "English",

series = "2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016",

publisher = "Institute of Electrical and Electronics Engineers",

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}

Shimony, SE 2017, Electricity cost minimization in cooling systems with storage. in 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016., 7806039, 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016, Institute of Electrical and Electronics Engineers, 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016, Eilat, Israel, 16/11/16. https://doi.org/10.1109/ICSEE.2016.7806039

Electricity cost minimization in cooling systems with storage. / Shimony, Solomon Eyal.
2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers, 2017. 7806039 (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Load optimization with load shifting can be readily implemented with energy storage. In hot climates, cooling systems are a major factor in the electrical bill. Some systems have large reservoirs for cold water which can be used for pre-cooling and load shifting. A similiar setup is possible when optimizing cost of electrical heating with heat storage. This abstract examines and formally defines the problem as an MDP, and proposes a solution algorithm, for the problem of electricity cost minimization in the presence of storage, in the form of a large water tank.

AB - Load optimization with load shifting can be readily implemented with energy storage. In hot climates, cooling systems are a major factor in the electrical bill. Some systems have large reservoirs for cold water which can be used for pre-cooling and load shifting. A similiar setup is possible when optimizing cost of electrical heating with heat storage. This abstract examines and formally defines the problem as an MDP, and proposes a solution algorithm, for the problem of electricity cost minimization in the presence of storage, in the form of a large water tank.

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M3 - Conference contribution

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T3 - 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016

BT - 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016

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T2 - 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016

Y2 - 16 November 2016 through 18 November 2016

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Electricity cost minimization in cooling systems with storage

Abstract

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ASJC Scopus subject areas

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