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Cold water storage tank enhancement using response surface methodology leading cooling peak shaving along with load shifting

Cold water storage tank enhancement using response surface methodology leading cooling peak shaving along with load shifting
Cold water storage tank enhancement using response surface methodology leading cooling peak shaving along with load shifting
In hot areas, electricity consumption in the cooling sector holds 66% of the electricity usage by residential buildings. The need for electricity during peak times causes various problems in the electricity supply network. Adding a cold water storage tank can achieve two goals: 1- peak load shifting and 2- peak load shaving. In this study, first, the volume of the storage tank was calculated by energy analysis for the day with the maximum cooling needs. Owing to installing the tank, the electricity consumption not only reaches zero during the peak time (7 a.m.–11 p.m.) but also the total electricity demand decreases by 5.1%. According to the ASHRAE, throughout the 8760 h in one year, the deviation of the interior temperature from the setpoint should not exceed the 300-h threshold (i.e., unmet hours <300 h). Considering the allowable amount of unmet hours as a constraint, optimal points were acquired using Response Surface Methodology (RSM). This method reduces the cold storage tank by 40% and decreases the electricity need by 16.5% compared to the reference case (without a storage tank). Furthermore, the optimal storage tank eliminates the cooling-associated electricity demand to zero during peak periods.
0959-6526
Kalbasi, Rasool
2aae7278-34df-44ad-a835-2fabfbd47ac1
Sharifpur, Mohsen
30c914c7-0be3-4259-b8a3-c3a520fc4859
Mortazavi, Mehdi
4f44fad3-a381-427e-9659-00620db1c4e7
Karimi, Nader
620646d6-27c9-4e1e-948f-f23e4a1e773a
Binh, Le Nguyen Nhu
ea9dec58-cf19-4b1b-9947-ab5efeb9313a
Afrand, Masoud
843a507c-ccf0-4768-81dd-e67b6535ca53
Kalbasi, Rasool
2aae7278-34df-44ad-a835-2fabfbd47ac1
Sharifpur, Mohsen
30c914c7-0be3-4259-b8a3-c3a520fc4859
Mortazavi, Mehdi
4f44fad3-a381-427e-9659-00620db1c4e7
Karimi, Nader
620646d6-27c9-4e1e-948f-f23e4a1e773a
Binh, Le Nguyen Nhu
ea9dec58-cf19-4b1b-9947-ab5efeb9313a
Afrand, Masoud
843a507c-ccf0-4768-81dd-e67b6535ca53

Kalbasi, Rasool, Sharifpur, Mohsen, Mortazavi, Mehdi, Karimi, Nader, Binh, Le Nguyen Nhu and Afrand, Masoud (2023) Cold water storage tank enhancement using response surface methodology leading cooling peak shaving along with load shifting. Journal of Cleaner Production, 421, [138422]. (doi:10.1016/j.jclepro.2023.138422).

Record type: Article

Abstract

In hot areas, electricity consumption in the cooling sector holds 66% of the electricity usage by residential buildings. The need for electricity during peak times causes various problems in the electricity supply network. Adding a cold water storage tank can achieve two goals: 1- peak load shifting and 2- peak load shaving. In this study, first, the volume of the storage tank was calculated by energy analysis for the day with the maximum cooling needs. Owing to installing the tank, the electricity consumption not only reaches zero during the peak time (7 a.m.–11 p.m.) but also the total electricity demand decreases by 5.1%. According to the ASHRAE, throughout the 8760 h in one year, the deviation of the interior temperature from the setpoint should not exceed the 300-h threshold (i.e., unmet hours <300 h). Considering the allowable amount of unmet hours as a constraint, optimal points were acquired using Response Surface Methodology (RSM). This method reduces the cold storage tank by 40% and decreases the electricity need by 16.5% compared to the reference case (without a storage tank). Furthermore, the optimal storage tank eliminates the cooling-associated electricity demand to zero during peak periods.

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More information

Accepted/In Press date: 9 August 2023
e-pub ahead of print date: 10 August 2023
Published date: 25 August 2023

Identifiers

Local EPrints ID: 508998
URI: http://eprints.soton.ac.uk/id/eprint/508998
ISSN: 0959-6526
PURE UUID: 2658890d-9f94-419b-a249-e25aee5f6062
ORCID for Nader Karimi: ORCID iD orcid.org/0000-0002-4559-6245

Catalogue record

Date deposited: 10 Feb 2026 17:30
Last modified: 14 Feb 2026 03:18

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Contributors

Author: Rasool Kalbasi
Author: Mohsen Sharifpur
Author: Mehdi Mortazavi
Author: Nader Karimi ORCID iD
Author: Le Nguyen Nhu Binh
Author: Masoud Afrand

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