Application genetic algorithms for load management in refrigerated warehouses with wind power penetration

Yi Zong; Tom Cronin; Oliver Gehrke; Henrik W. Bindner; Jens Carsten Hansen; Mikel Iribas Latour; Oihane Usunariz Arcauz

doi:10.1109/PTC.2009.5282071

Application genetic algorithms for load management in refrigerated warehouses with wind power penetration

Yi Zong
, Tom Cronin
, Oliver Gehrke
, Henrik W. Bindner
, Jens Carsten Hansen
, Mikel Iribas Latour
, Oihane Usunariz Arcauz

National Renewable Energy Center

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

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Abstract

Wind energy is produced at random times, whereas the energy consumption pattern shows distinct demand peaks during day-time and low levels during the night. The use of a refrigerated warehouse as a giant battery for wind energy is a new possibility that is being studied for wind energy integration as well as a way to store electricity produced during night-time by wind turbines. The controller for load management in a refrigerated warehouse with wind power penetration by GA-based is introduced in this paper. The objective function is to minimize the energy consumption for operating the refrigerated warehouse. It can be seen that the GA-based control strategy achieves feasible results for operating the temperature in refrigerated warehouse. Balancing the wind power production with refrigerated warehouse load management promises to be a clean and cost effective method. For refrigerated warehouse owners, it has the potential to lower operational costs.

Original language	English
Title of host publication	PowerTech, 2009 IEEE Bucharest
Volume	1-5
Publisher	IEEE Power and Energy Society
Publication date	2009
Pages	1361-1366
ISBN (Print)	978-1-4244-2235-7
DOIs	https://doi.org/10.1109/PTC.2009.5282071
Publication status	Published - 2009
Event	2009 IEEE Bucharest PowerTech Conference - Bucharest, Romania Duration: 28 Jun 2009 → 2 Jul 2009 http://ewh.ieee.org/conf/powertech/2009/

Conference

Conference	2009 IEEE Bucharest PowerTech Conference
Country/Territory	Romania
City	Bucharest
Period	28/06/2009 → 02/07/2009
Internet address	http://ewh.ieee.org/conf/powertech/2009/

Bibliographical note

Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Wind energy systems
Wind energy

Access to Document

10.1109/PTC.2009.5282071

ZongFinal published version, 757 KB

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Cite this

@inproceedings{9da82ac9ea954eeeb3bcdfad341119a4,

title = "Application genetic algorithms for load management in refrigerated warehouses with wind power penetration",

abstract = "Wind energy is produced at random times, whereas the energy consumption pattern shows distinct demand peaks during day-time and low levels during the night. The use of a refrigerated warehouse as a giant battery for wind energy is a new possibility that is being studied for wind energy integration as well as a way to store electricity produced during night-time by wind turbines. The controller for load management in a refrigerated warehouse with wind power penetration by GA-based is introduced in this paper. The objective function is to minimize the energy consumption for operating the refrigerated warehouse. It can be seen that the GA-based control strategy achieves feasible results for operating the temperature in refrigerated warehouse. Balancing the wind power production with refrigerated warehouse load management promises to be a clean and cost effective method. For refrigerated warehouse owners, it has the potential to lower operational costs.",

keywords = "Wind energy systems, Wind energy, Vindenergisystemer, Vindenergi",

author = "Yi Zong and Tom Cronin and Oliver Gehrke and Bindner, \{Henrik W.\} and Hansen, \{Jens Carsten\} and Latour, \{Mikel Iribas\} and Arcauz, \{Oihane Usunariz\}",

note = "Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 2009 IEEE Bucharest PowerTech Conference, BPT2009 ; Conference date: 28-06-2009 Through 02-07-2009",

year = "2009",

doi = "10.1109/PTC.2009.5282071",

language = "English",

isbn = "978-1-4244-2235-7",

volume = "1-5",

pages = "1361--1366",

booktitle = "PowerTech, 2009 IEEE Bucharest",

publisher = "IEEE Power and Energy Society",

url = "http://ewh.ieee.org/conf/powertech/2009/",

}

Zong, Y , Cronin, T , Gehrke, O , Bindner, HW , Hansen, JC, Latour, MI & Arcauz, OU 2009, Application genetic algorithms for load management in refrigerated warehouses with wind power penetration. in PowerTech, 2009 IEEE Bucharest. vol. 1-5, IEEE Power and Energy Society, pp. 1361-1366, 2009 IEEE Bucharest PowerTech Conference, Bucharest, Romania, 28/06/2009. https://doi.org/10.1109/PTC.2009.5282071

TY - GEN

T1 - Application genetic algorithms for load management in refrigerated warehouses with wind power penetration

AU - Zong, Yi

AU - Cronin, Tom

AU - Gehrke, Oliver

AU - Bindner, Henrik W.

AU - Hansen, Jens Carsten

AU - Latour, Mikel Iribas

AU - Arcauz, Oihane Usunariz

N1 - Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 2009

Y1 - 2009

N2 - Wind energy is produced at random times, whereas the energy consumption pattern shows distinct demand peaks during day-time and low levels during the night. The use of a refrigerated warehouse as a giant battery for wind energy is a new possibility that is being studied for wind energy integration as well as a way to store electricity produced during night-time by wind turbines. The controller for load management in a refrigerated warehouse with wind power penetration by GA-based is introduced in this paper. The objective function is to minimize the energy consumption for operating the refrigerated warehouse. It can be seen that the GA-based control strategy achieves feasible results for operating the temperature in refrigerated warehouse. Balancing the wind power production with refrigerated warehouse load management promises to be a clean and cost effective method. For refrigerated warehouse owners, it has the potential to lower operational costs.

AB - Wind energy is produced at random times, whereas the energy consumption pattern shows distinct demand peaks during day-time and low levels during the night. The use of a refrigerated warehouse as a giant battery for wind energy is a new possibility that is being studied for wind energy integration as well as a way to store electricity produced during night-time by wind turbines. The controller for load management in a refrigerated warehouse with wind power penetration by GA-based is introduced in this paper. The objective function is to minimize the energy consumption for operating the refrigerated warehouse. It can be seen that the GA-based control strategy achieves feasible results for operating the temperature in refrigerated warehouse. Balancing the wind power production with refrigerated warehouse load management promises to be a clean and cost effective method. For refrigerated warehouse owners, it has the potential to lower operational costs.

KW - Wind energy systems

KW - Wind energy

KW - Vindenergisystemer

KW - Vindenergi

U2 - 10.1109/PTC.2009.5282071

DO - 10.1109/PTC.2009.5282071

M3 - Article in proceedings

SN - 978-1-4244-2235-7

VL - 1-5

SP - 1361

EP - 1366

BT - PowerTech, 2009 IEEE Bucharest

PB - IEEE Power and Energy Society

T2 - 2009 IEEE Bucharest PowerTech Conference

Y2 - 28 June 2009 through 2 July 2009

ER -

Application genetic algorithms for load management in refrigerated warehouses with wind power penetration

Abstract

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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